Your field data is already ready. When will you use it? \u2014 Teamcore Blog<\/title>\r\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Montserrat:ital,wght@0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,400;1,700&family=Raleway:wght@300;400;500;600;700;800&display=swap\" rel=\"stylesheet\">\r\n<style>\r\n*, *::before, *::after { margin: 0; padding: 0; box-sizing: border-box; }\r\n\r\n:root {\r\n --navy: #02193a;\r\n --blue: #003670;\r\n --teal: #72B699;\r\n --teal-dark: #4a9478;\r\n --sky: #5D92AF;\r\n --amber: #f8b475;\r\n --red: #e86363;\r\n --off: #f5f7fb;\r\n --ink: #1c2638;\r\n --muted: #5a6680;\r\n --border: #dde4ee;\r\n --white: #ffffff;\r\n --font-head: 'Montserrat', 'Raleway', 'Source Sans Pro', Helvetica, Arial, sans-serif;\r\n --font-body: 'Raleway', 'Montserrat', 'Source Sans Pro', Helvetica, Arial, sans-serif;\r\n}\r\n\r\nbody {\r\n font-family: var(--font-body);\r\n background: var(--off);\r\n color: var(--ink);\r\n line-height: 1.75;\r\n overflow-x: hidden;\r\n}\r\n\r\n.reveal {\r\n opacity: 0;\r\n transform: translateY(40px);\r\n transition: opacity 0.7s cubic-bezier(0.22,1,0.36,1), transform 0.7s cubic-bezier(0.22,1,0.36,1);\r\n}\r\n.reveal.from-left { transform: translateX(-44px); }\r\n.reveal.from-right { transform: translateX(44px); }\r\n.reveal.scale-up { transform: translateY(20px) scale(0.96); }\r\n.reveal.is-visible { opacity: 1 !important; transform: none !important; }\r\n\r\n.stagger-group > * {\r\n opacity: 0;\r\n transform: translateY(28px);\r\n transition: opacity 0.55s cubic-bezier(0.22,1,0.36,1), transform 0.55s cubic-bezier(0.22,1,0.36,1);\r\n}\r\n.stagger-group.is-visible > *:nth-child(1){ opacity:1; transform:none; transition-delay:0s; }\r\n.stagger-group.is-visible > *:nth-child(2){ opacity:1; transform:none; transition-delay:0.11s; }\r\n.stagger-group.is-visible > *:nth-child(3){ opacity:1; transform:none; transition-delay:0.22s; }\r\n.stagger-group.is-visible > *:nth-child(4){ opacity:1; transform:none; transition-delay:0.33s; }\r\n\r\n.hero {\r\n background: linear-gradient(145deg, #01112a 0%, #003670 54%, #0a4f6a 100%);\r\n position: relative;\r\n overflow: hidden;\r\n min-height: 680px;\r\n display: flex;\r\n flex-direction: column;\r\n justify-content: flex-end;\r\n}\r\n.hero-orb1 {\r\n position: absolute; top: -120px; right: -70px;\r\n width: 560px; height: 560px;\r\n border-radius: 50%;\r\n background: radial-gradient(circle, rgba(114,182,153,0.16) 0%, transparent 68%);\r\n pointer-events: none;\r\n}\r\n.hero-orb2 {\r\n position: absolute; bottom: -90px; left: 8%;\r\n width: 340px; height: 340px;\r\n border-radius: 50%;\r\n background: radial-gradient(circle, rgba(93,146,175,0.14) 0%, transparent 70%);\r\n pointer-events: none;\r\n}\r\n.hero-lines {\r\n position: absolute; inset: 0;\r\n background: repeating-linear-gradient(-45deg, transparent, transparent 42px, rgba(255,255,255,0.014) 42px, rgba(255,255,255,0.014) 43px);\r\n pointer-events: none;\r\n}\r\n.hero-grid {\r\n position: absolute;\r\n inset: 0;\r\n opacity: 0.18;\r\n background-image: linear-gradient(rgba(255,255,255,0.08) 1px, transparent 1px), linear-gradient(90deg, rgba(255,255,255,0.08) 1px, transparent 1px);\r\n background-size: 80px 80px;\r\n mask-image: radial-gradient(circle at 75% 25%, black 0%, transparent 58%);\r\n}\r\n.hero-inner {\r\n position: relative; z-index: 2;\r\n padding: 96px clamp(56px, 7vw, 112px) 84px;\r\n max-width: 1280px;\r\n width: 100%;\r\n}\r\n.hero-eyebrow { display: flex; align-items: center; gap: 12px; margin-bottom: 28px; flex-wrap: wrap; }\r\n.hero-tag {\r\n display: inline-block;\r\n background: rgba(114,182,153,0.18);\r\n border: 1px solid rgba(114,182,153,0.38);\r\n color: var(--teal);\r\n font-family: var(--font-head);\r\n font-size: 10px; font-weight: 700;\r\n letter-spacing: 2.5px; text-transform: uppercase;\r\n padding: 5px 14px; border-radius: 20px;\r\n}\r\n.hero-date { font-size: 12px; color: rgba(255,255,255,0.35); letter-spacing: 0.4px; }\r\n.hero h1 {\r\n font-family: var(--font-head);\r\n font-size: clamp(42px, 5.2vw, 84px);\r\n font-weight: 800;\r\n color: #fff;\r\n line-height: 1.08;\r\n margin-bottom: 28px;\r\n max-width: 980px;\r\n}\r\n.hero h1 em { font-style: italic; color: var(--teal); font-weight: 700; }\r\n.hero-deck {\r\n font-size: clamp(19px, 1.45vw, 24px); font-weight: 300;\r\n color: rgba(255,255,255,0.68);\r\n max-width: 760px; line-height: 1.68;\r\n margin-bottom: 40px;\r\n}\r\n.hero-meta {\r\n display: flex; align-items: center; gap: 26px; flex-wrap: wrap;\r\n border-top: 1px solid rgba(255,255,255,0.09);\r\n padding-top: 24px;\r\n}\r\n.meta-pill { font-size: 12px; color: rgba(255,255,255,0.42); display: flex; align-items: center; gap: 7px; }\r\n.meta-dot { width: 4px; height: 4px; border-radius: 50%; background: var(--teal); }\r\n\r\n.hero-visual {\r\n position: absolute;\r\n right: clamp(48px, 7vw, 130px);\r\n bottom: 86px;\r\n width: min(460px, 32vw);\r\n opacity: 0.92;\r\n z-index: 1;\r\n}\r\n.hero-visual svg { width: 100%; height: auto; display: block; }\r\n\r\n.article {\r\n max-width: 1680px;\r\n margin: 0 auto;\r\n padding: 88px clamp(48px, 4.2vw, 80px) 120px;\r\n}\r\n\r\np {\r\n font-size: clamp(18px, 1.1vw, 21px); font-weight: 400;\r\n color: #2d3a52; margin-bottom: 22px; line-height: 1.85;\r\n}\r\nh2 {\r\n font-family: var(--font-head);\r\n font-size: clamp(28px, 2.4vw, 38px);\r\n font-weight: 700; color: var(--navy);\r\n line-height: 1.25; margin: 68px 0 18px;\r\n display: flex; align-items: center; gap: 12px;\r\n}\r\nh2 .h-icon {\r\n width: 44px; height: 44px; flex-shrink: 0;\r\n background: linear-gradient(135deg, #e4f0fa 0%, #d9f0e8 100%);\r\n border-radius: 9px;\r\n display: flex; align-items: center; justify-content: center;\r\n}\r\nh2 .h-icon svg { width: 22px; height: 22px; }\r\nh2:first-of-type { margin-top: 0; }\r\n\r\nh3 {\r\n font-family: var(--font-head);\r\n font-size: 20px; font-weight: 700;\r\n color: var(--blue);\r\n margin: 40px 0 10px;\r\n display: flex; align-items: center; gap: 10px;\r\n}\r\nh3 .h3-icon {\r\n width: 28px; height: 28px; flex-shrink: 0;\r\n background: linear-gradient(135deg, #ddeeff 0%, #d4f0e6 100%);\r\n border-radius: 7px;\r\n display: flex; align-items: center; justify-content: center;\r\n}\r\nh3 .h3-icon svg { width: 14px; height: 14px; }\r\n\r\n.opener {\r\n font-family: var(--font-head);\r\n font-size: clamp(26px, 2.2vw, 34px);\r\n font-weight: 700; font-style: italic;\r\n color: var(--blue); line-height: 1.4;\r\n border-left: 4px solid var(--teal);\r\n padding-left: 28px; margin-bottom: 52px;\r\n}\r\n\r\n.src {\r\n font-family: var(--font-head);\r\n font-size: 10px; font-weight: 600;\r\n letter-spacing: 1px; text-transform: uppercase;\r\n color: var(--sky); opacity: 0.9;\r\n border: 1px solid rgba(93,146,175,0.3);\r\n border-radius: 4px; padding: 2px 7px;\r\n margin-left: 6px; vertical-align: middle;\r\n white-space: nowrap;\r\n}\r\n\r\n.data-hero {\r\n margin: 56px 0;\r\n background: linear-gradient(135deg, #ffffff 0%, #ecf5fb 100%);\r\n border: 1px solid var(--border);\r\n border-radius: 22px;\r\n min-height: 370px;\r\n overflow: hidden;\r\n position: relative;\r\n display: grid;\r\n grid-template-columns: 1fr 1fr;\r\n}\r\n.data-hero-copy { padding: 42px 42px 38px; display: flex; flex-direction: column; justify-content: center; }\r\n.data-hero-copy .label {\r\n font-family: var(--font-head); font-size: 10px; font-weight: 800; letter-spacing: 2px;\r\n text-transform: uppercase; color: var(--teal-dark); margin-bottom: 14px;\r\n}\r\n.data-hero-copy h2 { display: block; margin: 0 0 14px; }\r\n.data-hero-copy p { font-size: 18px; color: var(--muted); margin-bottom: 0; }\r\n.data-hero-graphic {\r\n background: linear-gradient(145deg, rgba(2,25,58,0.98), rgba(0,54,112,0.96));\r\n position: relative;\r\n display: flex; align-items: center; justify-content: center;\r\n padding: 28px;\r\n}\r\n.data-hero-graphic svg { width: 100%; max-width: 330px; }\r\n\r\n.scene {\r\n background: linear-gradient(135deg, #02193a 0%, #003670 100%);\r\n border-radius: 18px;\r\n padding: 44px 48px;\r\n margin: 52px 0;\r\n position: relative; overflow: hidden;\r\n}\r\n.scene::after {\r\n content: '';\r\n position: absolute; top: -50px; right: -50px;\r\n width: 220px; height: 220px;\r\n border: 42px solid rgba(114,182,153,0.08);\r\n border-radius: 50%;\r\n}\r\n.scene p {\r\n color: rgba(255,255,255,0.8);\r\n font-size: 20px; margin-bottom: 0;\r\n position: relative; z-index: 1;\r\n}\r\n.scene p + p { margin-top: 16px; }\r\n.scene strong { color: #fff; font-weight: 600; }\r\n\r\n.stat-grid {\r\n display: grid;\r\n grid-template-columns: repeat(3, 1fr);\r\n gap: 22px; margin: 60px 0;\r\n}\r\n.stat-card {\r\n background: linear-gradient(160deg, #ffffff 0%, #f4f8fd 100%);\r\n border: 1px solid var(--border);\r\n border-radius: 16px;\r\n padding: 34px 30px;\r\n position: relative; overflow: hidden;\r\n}\r\n.stat-card::after { content: ''; position: absolute; top: 0; left: 0; right: 0; height: 3px; }\r\n.stat-card.c-teal::after { background: linear-gradient(90deg, var(--teal), #4ebf9a); }\r\n.stat-card.c-sky::after { background: linear-gradient(90deg, var(--sky), #3a7fa0); }\r\n.stat-card.c-amber::after { background: linear-gradient(90deg, var(--amber), #e89a4a); }\r\n.stat-card.c-navy::after { background: linear-gradient(90deg, var(--navy), var(--blue)); }\r\n.stat-num {\r\n font-family: var(--font-head);\r\n font-size: 48px; font-weight: 800;\r\n color: var(--navy); line-height: 1; margin-bottom: 10px;\r\n}\r\n.stat-num.up { color: var(--teal-dark); }\r\n.stat-num.down { color: var(--red); }\r\n.stat-label { font-size: 15px; color: var(--muted); line-height: 1.55; }\r\n\r\n.pullquote {\r\n border-left: 4px solid var(--teal);\r\n padding: 6px 0 6px 30px;\r\n margin: 52px 0;\r\n}\r\n.pullquote p {\r\n font-family: var(--font-head);\r\n font-size: 24px; font-weight: 600;\r\n font-style: italic; color: var(--blue);\r\n margin-bottom: 10px; line-height: 1.55;\r\n}\r\n.pullquote cite {\r\n font-family: var(--font-head); font-size: 12px; color: var(--teal-dark);\r\n font-style: normal; font-weight: 700; letter-spacing: 0.3px;\r\n}\r\n\r\n.divider {\r\n height: 1px;\r\n background: linear-gradient(90deg, transparent, var(--border), transparent);\r\n margin: 64px 0;\r\n}\r\n\r\n.module-grid {\r\n display: grid;\r\n grid-template-columns: 1fr 1fr;\r\n gap: 24px;\r\n margin: 46px 0;\r\n}\r\n.module-card {\r\n background: #fff;\r\n border: 1px solid var(--border);\r\n border-radius: 16px;\r\n padding: 34px;\r\n position: relative;\r\n overflow: hidden;\r\n}\r\n.module-card::before {\r\n content: '';\r\n position: absolute;\r\n width: 120px; height: 120px;\r\n right: -62px; top: -62px;\r\n border-radius: 50%;\r\n background: rgba(114,182,153,0.10);\r\n}\r\n.module-kicker {\r\n font-family: var(--font-head); font-size: 10px; font-weight: 800; letter-spacing: 1.8px;\r\n text-transform: uppercase; color: var(--teal-dark); margin-bottom: 10px;\r\n}\r\n.module-card h4 {\r\n font-family: var(--font-head); font-size: 22px; color: var(--navy); line-height: 1.3; margin-bottom: 10px;\r\n}\r\n.module-card p { font-size: 17px; color: var(--muted); line-height: 1.72; margin-bottom: 0; }\r\n\r\n.process {\r\n margin: 48px 0;\r\n border: 1px solid var(--border);\r\n border-radius: 18px;\r\n overflow: hidden;\r\n background: #fff;\r\n}\r\n.process-step {\r\n display: grid;\r\n grid-template-columns: 84px 1fr;\r\n gap: 22px;\r\n padding: 28px 30px;\r\n border-bottom: 1px solid var(--border);\r\n}\r\n.process-step:last-child { border-bottom: none; }\r\n.process-num {\r\n width: 52px; height: 52px;\r\n border-radius: 15px;\r\n background: linear-gradient(135deg, #02193a, #003670);\r\n color: var(--teal);\r\n font-family: var(--font-head);\r\n font-weight: 900;\r\n font-size: 22px;\r\n display: flex; align-items: center; justify-content: center;\r\n}\r\n.process-copy h4 {\r\n font-family: var(--font-head); color: var(--navy); font-size: 21px; margin-bottom: 6px;\r\n}\r\n.process-copy p { font-size: 17px; color: var(--muted); margin: 0; line-height: 1.72; }\r\n\r\n.comparison {\r\n display: grid;\r\n grid-template-columns: 1fr 1fr;\r\n gap: 24px;\r\n margin: 48px 0 26px;\r\n}\r\n.compare-card {\r\n border-radius: 18px;\r\n padding: 32px 30px;\r\n border: 1px solid var(--border);\r\n background: #fff;\r\n}\r\n.compare-card.dark {\r\n background: linear-gradient(135deg, #02193a 0%, #003670 100%);\r\n border-color: rgba(255,255,255,0.08);\r\n}\r\n.compare-label {\r\n font-family: var(--font-head); font-size: 10px; font-weight: 800; letter-spacing: 1.8px;\r\n text-transform: uppercase; color: var(--muted); margin-bottom: 12px;\r\n}\r\n.compare-card.dark .compare-label { color: var(--teal); }\r\n.compare-number {\r\n font-family: var(--font-head); font-size: 56px; line-height: 1; font-weight: 900; color: var(--red); margin-bottom: 10px;\r\n}\r\n.compare-card.dark .compare-number { color: var(--teal); }\r\n.compare-card p { font-size: 17px; color: var(--muted); margin: 0; line-height: 1.68; }\r\n.compare-card.dark p { color: rgba(255,255,255,0.72); }\r\n\r\n.big-number {\r\n display: flex; align-items: baseline; gap: 18px;\r\n background: linear-gradient(135deg, #02193a 0%, #003670 100%);\r\n border-radius: 16px;\r\n padding: 34px 40px; margin: 44px 0;\r\n}\r\n.big-n {\r\n font-family: var(--font-head); font-size: 86px; font-weight: 900;\r\n color: var(--teal); line-height: 1; flex-shrink: 0;\r\n}\r\n.big-n-text { font-size: 19px; color: rgba(255,255,255,0.74); line-height: 1.65; }\r\n.big-n-text strong { color: #fff; font-weight: 600; }\r\n\r\n.impact-grid {\r\n display: grid;\r\n grid-template-columns: repeat(4, 1fr);\r\n gap: 20px;\r\n margin: 48px 0;\r\n}\r\n.impact-card {\r\n background: linear-gradient(160deg, #ffffff 0%, #f4f8fd 100%);\r\n border: 1px solid var(--border);\r\n border-radius: 16px;\r\n padding: 24px 18px;\r\n}\r\n.impact-number {\r\n font-family: var(--font-head);\r\n font-size: 42px;\r\n font-weight: 900;\r\n color: var(--teal-dark);\r\n line-height: 1;\r\n margin-bottom: 12px;\r\n}\r\n.impact-card p { font-size: 15px; line-height: 1.5; color: var(--muted); margin: 0; }\r\n\r\n.insight {\r\n background: linear-gradient(135deg, #e6f2ff 0%, #ddf0ea 100%);\r\n border: 1px solid #bcd8f5;\r\n border-radius: 16px;\r\n padding: 36px 40px; margin: 48px 0;\r\n}\r\n.insight-label {\r\n font-family: var(--font-head);\r\n font-size: 10px; font-weight: 700;\r\n letter-spacing: 2px; text-transform: uppercase;\r\n color: var(--teal-dark); margin-bottom: 12px;\r\n display: flex; align-items: center; gap: 6px;\r\n}\r\n.insight p { font-size: 19px; color: #1b3050; margin-bottom: 0; }\r\n\r\n.cta-block {\r\n background: linear-gradient(145deg, #01112a 0%, #003670 55%, #0a4f6a 100%);\r\n border-radius: 22px;\r\n padding: 68px 54px;\r\n text-align: center; margin-top: 76px;\r\n position: relative; overflow: hidden;\r\n}\r\n.cta-block::before {\r\n content: ''; position: absolute; bottom: -60px; right: -60px;\r\n width: 300px; height: 300px;\r\n border: 52px solid rgba(114,182,153,0.07); border-radius: 50%;\r\n}\r\n.cta-block::after {\r\n content: ''; position: absolute; top: -40px; left: -40px;\r\n width: 190px; height: 190px;\r\n border: 36px solid rgba(93,146,175,0.06); border-radius: 50%;\r\n}\r\n.cta-block h2 {\r\n color: #fff; margin-top: 0; font-size: clamp(20px, 3vw, 30px);\r\n position: relative; z-index: 1; display: block;\r\n}\r\n.cta-block p {\r\n color: rgba(255,255,255,0.62);\r\n max-width: 500px; margin: 0 auto 32px;\r\n font-size: 18px; position: relative; z-index: 1;\r\n}\r\n.cta-btn {\r\n display: inline-block;\r\n background: linear-gradient(135deg, #72B699 0%, #4a9478 100%);\r\n color: var(--navy);\r\n font-family: var(--font-head);\r\n font-size: 15px; font-weight: 700;\r\n padding: 16px 46px; border-radius: 40px;\r\n text-decoration: none; letter-spacing: 0.3px;\r\n position: relative; z-index: 1;\r\n transition: transform 0.18s, box-shadow 0.18s;\r\n box-shadow: 0 6px 24px rgba(72,180,150,0.3);\r\n}\r\n.cta-btn:hover { transform: translateY(-3px); box-shadow: 0 10px 32px rgba(72,180,150,0.4); }\r\n\r\n\r\n@media (min-width: 1180px) {\r\n .hero { min-height: 760px; }\r\n\r\n \/* Desktop amplio: el hero se mantiene, pero el cuerpo usa mucho m\u00e1s ancho \u00fatil. *\/\r\n .article {\r\n max-width: 1680px;\r\n padding-left: clamp(56px, 4vw, 88px);\r\n padding-right: clamp(56px, 4vw, 88px);\r\n }\r\n\r\n .article > p,\r\n .article > h2,\r\n .article > h3,\r\n .article > .opener,\r\n .article > .pullquote,\r\n .article > .scene,\r\n .article > .insight {\r\n max-width: 1320px;\r\n }\r\n\r\n .article > p {\r\n font-size: clamp(20px, 1.15vw, 23px);\r\n line-height: 1.82;\r\n }\r\n\r\n .article > .opener {\r\n max-width: 1400px;\r\n }\r\n\r\n .article > .stat-grid,\r\n .article > .data-hero,\r\n .article > .module-grid,\r\n .article > .process,\r\n .article > .comparison,\r\n .article > .big-number,\r\n .article > .impact-grid,\r\n .article > .cta-block,\r\n .article > .divider {\r\n width: 100%;\r\n max-width: none;\r\n }\r\n\r\n .data-hero {\r\n grid-template-columns: 1.18fr 0.82fr;\r\n min-height: 430px;\r\n }\r\n .data-hero-copy { padding: 56px 64px; }\r\n .data-hero-copy p { font-size: 20px; line-height: 1.75; }\r\n .process-step { grid-template-columns: 104px 1fr; padding: 34px 44px; }\r\n .process-step p { font-size: 18px; }\r\n .process-num { width: 62px; height: 62px; font-size: 26px; }\r\n}\r\n\r\n@media (min-width: 1600px) {\r\n .article {\r\n max-width: 1780px;\r\n padding-left: 64px;\r\n padding-right: 64px;\r\n }\r\n\r\n .article > p,\r\n .article > h2,\r\n .article > h3,\r\n .article > .opener,\r\n .article > .pullquote,\r\n .article > .scene,\r\n .article > .insight {\r\n max-width: 1460px;\r\n }\r\n}\r\n\r\n@media (max-width: 860px) {\r\n .hero-visual { opacity: 0.25; right: -40px; width: 420px; }\r\n .impact-grid { grid-template-columns: 1fr 1fr; }\r\n}\r\n@media (max-width: 680px) {\r\n .hero h1 { font-size: clamp(34px, 11vw, 46px); }\r\n .hero-deck { font-size: 17px; }\r\n p { font-size: 17px; }\r\n h2 { font-size: clamp(22px, 7vw, 29px); }\r\n .hero-inner { padding: 60px 24px 50px; }\r\n .article { max-width: 100%; padding: 44px 20px 72px; }\r\n .stat-grid, .module-grid, .comparison, .data-hero { grid-template-columns: 1fr; }\r\n .impact-grid { grid-template-columns: 1fr 1fr; }\r\n .scene { padding: 30px 28px; }\r\n .cta-block { padding: 44px 28px; }\r\n .big-number { flex-direction: column; gap: 4px; }\r\n .big-n { font-size: 50px; }\r\n .process-step { grid-template-columns: 1fr; gap: 12px; padding: 24px; }\r\n .data-hero-graphic { min-height: 230px; }\r\n}\r\n@media (max-width: 430px) {\r\n .impact-grid { grid-template-columns: 1fr; }\r\n}\r\n<\/style>\r\n<\/head>\r\n<body>\r\n\r\n<header class=\"hero\">\r\n <div class=\"hero-orb1\"><\/div>\r\n <div class=\"hero-orb2\"><\/div>\r\n <div class=\"hero-lines\"><\/div>\r\n <div class=\"hero-grid\"><\/div>\r\n <div class=\"hero-visual\" aria-hidden=\"true\">\r\n <svg viewbox=\"0 0 420 420\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\r\n <rect x=\"62\" y=\"80\" width=\"296\" height=\"230\" rx=\"24\" fill=\"rgba(255,255,255,0.08)\" stroke=\"rgba(255,255,255,0.22)\"\/>\r\n <rect x=\"94\" y=\"118\" width=\"90\" height=\"12\" rx=\"6\" fill=\"#72B699\"\/>\r\n <rect x=\"94\" y=\"152\" width=\"230\" height=\"10\" rx=\"5\" fill=\"rgba(255,255,255,0.34)\"\/>\r\n <rect x=\"94\" y=\"180\" width=\"178\" height=\"10\" rx=\"5\" fill=\"rgba(255,255,255,0.24)\"\/>\r\n <rect x=\"94\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(114,182,153,0.20)\"\/>\r\n <rect x=\"158\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <rect x=\"222\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(248,180,117,0.20)\"\/>\r\n <path d=\"M118 248h128\" stroke=\"#72B699\" stroke-width=\"4\" stroke-linecap=\"round\"\/>\r\n <circle cx=\"300\" cy=\"78\" r=\"34\" fill=\"rgba(114,182,153,0.22)\"\/>\r\n <path d=\"M286 78l10 10 20-22\" stroke=\"#72B699\" stroke-width=\"7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\r\n <circle cx=\"82\" cy=\"318\" r=\"30\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <path d=\"M70 318h24M82 306v24\" stroke=\"#5D92AF\" stroke-width=\"6\" stroke-linecap=\"round\"\/>\r\n <\/svg>\r\n <\/div>\r\n <div class=\"hero-inner\">\r\n <div class=\"hero-eyebrow\">\r\n <span class=\"hero-tag\">Retail Execution \u00b7 Data Extraction<\/span>\r\n <span class=\"hero-date\">Teamcore Editorial \u00b7 Mass Consumer<\/span>\r\n <\/div>\r\n <h1>Your field data is ready.<br><em>When will you use them?<\/em><\/h1>\r\n <p class=\"hero-deck\">Point of sale execution generates data every day. The problem is that many operations still receive it late, incomplete, or too disorganized to turn into decisions.<\/p>\r\n <div class=\"hero-meta\">\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>7 min read<\/span>\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>Data & Commercial Execution<\/span>\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>CPG \u00b7 Field Teams \u00b7 Retail<\/span>\r\n <\/div>\r\n <\/div>\r\n<\/header>\r\n\r\n<article class=\"article\">\r\n\r\n <div class=\"data-hero reveal scale-up\">\r\n <div class=\"data-hero-copy\">\r\n <div class=\"label\">The problem is not a lack of data<\/div>\r\n <h2>It is the speed with which they reach the person who must decide.<\/h2>\r\n <p>Only 12% of retailers turns data into preventive actions. The remaining 88% continue to operate with limited visibility: they identify the problem only after the sale has already been lost.<\/p>\r\n <\/div>\r\n <div class=\"data-hero-graphic\" aria-hidden=\"true\">\r\n <svg viewbox=\"0 0 360 260\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\r\n <rect x=\"24\" y=\"30\" width=\"312\" height=\"198\" rx=\"18\" fill=\"rgba(255,255,255,0.08)\" stroke=\"rgba(255,255,255,0.18)\"\/>\r\n <rect x=\"52\" y=\"58\" width=\"102\" height=\"12\" rx=\"6\" fill=\"#72B699\"\/>\r\n <rect x=\"52\" y=\"92\" width=\"256\" height=\"8\" rx=\"4\" fill=\"rgba(255,255,255,0.32)\"\/>\r\n <rect x=\"52\" y=\"114\" width=\"218\" height=\"8\" rx=\"4\" fill=\"rgba(255,255,255,0.22)\"\/>\r\n <rect x=\"52\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(114,182,153,0.20)\"\/>\r\n <rect x=\"112\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <rect x=\"172\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(248,180,117,0.20)\"\/>\r\n <rect x=\"232\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(255,255,255,0.12)\"\/>\r\n <path d=\"M68 172l10 10 20-26\" stroke=\"#72B699\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\r\n <circle cx=\"135\" cy=\"173\" r=\"11\" stroke=\"#5D92AF\" stroke-width=\"5\"\/>\r\n <path d=\"M190 162v22M179 173h22\" stroke=\"#F8B475\" stroke-width=\"5\" stroke-linecap=\"round\"\/>\r\n <path d=\"M240 162l24 24M264 162l-24 24\" stroke=\"rgba(255,255,255,0.55)\" stroke-width=\"4\" stroke-linecap=\"round\"\/>\r\n <\/svg>\r\n <\/div>\r\n <\/div>\r\n\r\n <p class=\"opener reveal\">Your teams are already generating the information. What is missing is turning it into action before the point of sale collects the invoice.<\/p>\r\n\r\n <div class=\"stat-grid stagger-group\">\r\n <div class=\"stat-card c-teal\">\r\n <div class=\"stat-num\">12%<\/div>\r\n <div class=\"stat-label\">from retailers turns data into preventive actions.<\/div>\r\n <\/div>\r\n <div class=\"stat-card c-sky\">\r\n <div class=\"stat-num down\">7h+<\/div>\r\n <div class=\"stat-label\">they are lost per chain every week managing, cleaning, and standardizing data.<\/div>\r\n <\/div>\r\n <div class=\"stat-card c-amber\">\r\n <div class=\"stat-num up\">10x<\/div>\r\n <div class=\"stat-label\">Average ROI when eliminating the operational bottleneck.<\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10.29 3.86L1.82 18a2 2 0 001.71 3h16.94a2 2 0 001.71-3L13.71 3.86a2 2 0 00-3.42 0z\"\/><line x1=\"12\" y1=\"9\" x2=\"12\" y2=\"13\"\/><line x1=\"12\" y1=\"17\" x2=\"12.01\" y2=\"17\"\/><\/svg>\r\n <\/span>\r\n The silent problem that destroys results\r\n <\/h2>\r\n\r\n <div class=\"scene reveal\">\r\n <p>It is 8:00 AM. Your star product sold out yesterday in 15 key points of sale. Your teams are reviewing routes, the competition is restocking their spaces, and consumers are choosing other brands.<\/p>\r\n <p><strong>By the time you find out, it's already too late.<\/strong><\/p>\r\n <\/div>\r\n\r\n <p class=\"reveal\">This scene is no exception: it is part of daily life in many mass consumer operations. Information about what happens on the shelf arrives fragmented, late, and with too much noise to act upon. Commercial teams spend hours downloading files, cleaning databases, cross-referencing formats, and harmonizing data before reaching the first real analysis.<\/p>\r\n\r\n <p class=\"reveal\">The cost is not just in the wasted time. It is in the exhausted employees who are detected late, in the promotions that no one corrects in time, in the displays that are audited when the campaign has already ended, and in the spaces that the competition occupies while the team is still trying to organize the information.<\/p>\r\n\r\n <div class=\"pullquote reveal from-left\">\r\n <p>\u201cThe difference wasn't that the problems disappeared. It was that the team saw them in time to do something about it.\u201d<\/p>\r\n <cite>\u2014 Success story Teamcore \u00b7 Hygiene & Beauty \u00b7 Peru 2025<\/cite>\r\n <\/div>\r\n\r\n <p class=\"reveal\">The bottleneck is not in the quality of your equipment. It is in the distance between the data generated in the field and the people who need to act on it. Teamcore Data Extraction exists to eliminate that distance.<\/p>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 16V8a2 2 0 00-1-1.73l-7-4a2 2 0 00-2 0l-7 4A2 2 0 003 8v8a2 2 0 001 1.73l7 4a2 2 0 002 0l7-4A2 2 0 0021 16z\"\/><polyline points=\"3.27 6.96 12 12.01 20.73 6.96\"\/><line x1=\"12\" y1=\"22.08\" x2=\"12\" y2=\"12\"\/><\/svg>\r\n <\/span>\r\n What is Teamcore Data Extraction\r\n <\/h2>\r\n\r\n <p class=\"reveal\">Data Extraction is the operational intelligence layer of the Teamcore platform that transforms everything that happens at the point of sale \u2014 visits, execution tasks, photographic evidence, and field responses \u2014 into structured, downloadable, and actionable data in real time.<\/p>\r\n\r\n <p class=\"reveal\">It is not a simple report exporter. It works as a conversion engine: it takes the scattered execution of thousands of merchandisers and supervisors and transforms it into a standardized, filterable data sheet ready for strategic analysis.<\/p>\r\n\r\n <div class=\"module-grid stagger-group\">\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Standard KPI Downloader<\/h4>\r\n <p>Sell-out, inventories, and historical availability metrics. Up to 2 years of data plus the current period in a single parameterized query.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Execution Downloader<\/h4>\r\n <p>Complete field response sheet: task type, user, store, product down to SKU level, time range, and links to photographic evidence.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Photo Downloader<\/h4>\r\n <p>PDF download with advanced filters. Visual audit of the actual shelf status without relying on manual reports.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">In development<\/div>\r\n <h4>Smart Downloader<\/h4>\r\n <p>The next evolution: intelligent KPIs with built-in AI to automatically prioritize alerts with the highest sales impact.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"\/><\/svg>\r\n <\/span>\r\n How it works: from the field to the decision\r\n <\/h2>\r\n\r\n <p class=\"reveal\">The promise is simple: for the analyst to start generating insights from minute one, not from hour seven.<\/p>\r\n\r\n <div class=\"process reveal scale-up\">\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">1<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Mobile App Execution<\/h4>\r\n <p>Field teams complete facing, display, and promotion tasks from the app. Each response is automatically synchronized upon check-out, including georeferenced photographic evidence.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">2<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Datapipe Processing<\/h4>\r\n <p>Teamcore's data engine normalizes, enriches, and structures information in real time, cross-referencing execution data with sell-out, inventories, and business goals.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">3<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Query parameterization<\/h4>\r\n <p>From the web platform, the analyst configures their download: task type, user attributes, store attributes, product down to the SKU level, and exact time range.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">4<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Download ready for analysis<\/h4>\r\n <p>The data sheet arrives clean, standardized, and structured. Zero preparation work. The team can go straight from evidence to action.<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polyline points=\"12 6 12 12 16 14\"\/><\/svg>\r\n <\/span>\r\n The real cost of not having this data on time\r\n <\/h2>\r\n\r\n <p class=\"reveal\">An 1% drop in shelf availability can mean millions in lost revenue per year. But the damage isn't just financial: every day without visibility forces the team to react rather than prevent problems.<\/p>\r\n\r\n <div class=\"comparison reveal\">\r\n <div class=\"compare-card\">\r\n <div class=\"compare-label\">Without automation<\/div>\r\n <div class=\"compare-number\">7h 10m<\/div>\r\n <p>per chain each week just in data management, cleaning, and standardization.<\/p>\r\n <\/div>\r\n <div class=\"compare-card dark\">\r\n <div class=\"compare-label\">With Teamcore<\/div>\r\n <div class=\"compare-number\">26m<\/div>\r\n <p>per chain each week. The difference isn't in making more reports; it's in recovering time to decide.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"big-number reveal scale-up\">\r\n <div class=\"big-n\">93%<\/div>\r\n <div class=\"big-n-text\">\r\n <strong>of reduction in data management time.<\/strong> In an operation with 9 chains, that is equivalent to 3,150 hours recovered per year for analysis, prioritization, and action at the point of sale.\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"insight reveal\">\r\n <div class=\"insight-label\">\r\n <svg width=\"14\" height=\"14\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><line x1=\"12\" y1=\"8\" x2=\"12\" y2=\"12\"\/><line x1=\"12\" y1=\"16\" x2=\"12.01\" y2=\"16\"\/><\/svg>\r\n The background signal\r\n <\/div>\r\n <p>When information arrives clean and on time, it changes the conversation: the team stops asking \u201cwhat happened\u201d and starts deciding \u201cwhat do we do now.\u201d That difference separates operations that react from those that prevent.<\/p>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><line x1=\"18\" y1=\"20\" x2=\"18\" y2=\"10\"\/><line x1=\"12\" y1=\"20\" x2=\"12\" y2=\"4\"\/><line x1=\"6\" y1=\"20\" x2=\"6\" y2=\"14\"\/><\/svg>\r\n <\/span>\r\n The global impact of Teamcore in numbers\r\n <\/h2>\r\n\r\n <p class=\"reveal\">Operational visibility doesn't just organize information. It also improves the ability to recover sales, sustain availability, and resolve incidents before they escalate.<\/p>\r\n\r\n <div class=\"impact-grid stagger-group\">\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">+75%<\/div>\r\n <p>average recovered sales with real-time operational visibility.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">6\u20139%<\/div>\r\n <p>for improving product availability on the shelf.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">\u221211.5%<\/div>\r\n <p>in point of sale incident resolution time.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">+23%<\/div>\r\n <p>of team time optimization at the point of sale.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <p class=\"reveal\">For a commercial operation, these numbers mean less time wasted on repetitive tasks and a greater capacity to act where sales are won: the point of sale, the shelf, the display, inventory, and the field team's visit.<\/p>\r\n\r\n <p class=\"reveal\">The data is already there. It's in every visit, every photograph, every completed task, every check-out, every out-of-stock SKU, every piece of evidence the team gathers in the field. The difference lies in how long it takes to turn into a decision.<\/p>\r\n\r\n <div class=\"cta-block reveal scale-up\">\r\n <h2>Ready to use your field data on time?<\/h2>\r\n <p>Learn how Teamcore Data Extraction turns execution into clean, structured, and actionable data for your commercial teams.<\/p>\r\n <a href=\"https:\/\/teamcore.com\/en\/contact\/\" class=\"cta-btn\">Speak with a specialist \u2192<\/a>\r\n <\/div>\r\n\r\n<\/article>\r\n\r\n<script>\r\n(function(){\r\n var io = new IntersectionObserver(function(entries){\r\n entries.forEach(function(e){\r\n if(e.isIntersecting){\r\n e.target.classList.add('is-visible');\r\n io.unobserve(e.target);\r\n }\r\n });\r\n },{threshold:0.1, rootMargin:'0px 0px -40px 0px'});\r\n document.querySelectorAll('.reveal,.stagger-group').forEach(function(el){ io.observe(el); });\r\n})();\r\n<\/script>\r\n\r\n<\/body>\r\n<\/html>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ecf2215 e-con-full e-flex 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class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/friends-toasting-with-beer-watching-soccer-match-i-2026-03-24-12-58-09-utc-768x512.jpg\" alt=\"Young group of friends watching sport on television\" width=\"768\" height=\"512\" title=\"Young group of friends watching sport on television\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\"> <div class=\"uc_post_title\">The tournament has started. Your gondola is playing too.<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 25\/06\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Football season and your gondola \u2014 Teamcore Blog\n\n\n\n\n\n\n\n Retail & CPG \u00b7 Trends...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-768x511.jpg\" alt=\"Customer opening refrigerator door in supermarket, choosing groceries, healthy food, shopping concept\" width=\"768\" height=\"511\" title=\"Customer opening refrigerator door in supermarket, choosing groceries, healthy food, shopping concept\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\"> <div class=\"uc_post_title\">Your field data is already ready. When will you use it?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 08\/06\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Your field data is already ready. When will you use it? \u2014 Teamcore Blog...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-Canal-Tradicional-1-768x512.webp\" alt=\"3 keys to understanding consumer buying behavior in the Traditional Channel (1)\" width=\"768\" height=\"512\" title=\"3 keys to understanding consumer buying behavior in the Traditional Channel (1)\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\"> <div class=\"uc_post_title\">How the 2026 Tournament is changing retail execution in LATAM<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 24\/04\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How the 2026 Great Tournament is transforming retail execution in LATAM\n\nSubscribe\n\nApril...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Insights-propios-vs-estudios-externos-768x512.webp\" alt=\"Internal insights vs external studies\" width=\"768\" height=\"512\" title=\"Internal insights vs external studies\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\"> <div class=\"uc_post_title\">Internal insights vs. external studies: two sources, a single decision<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 08\/04\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Internal insights vs. external studies: two sources, a single decision\nMost companies have...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Ejecucion-comercial-en-el-canal-tradicional-768x512.webp\" alt=\"Commercial execution in the traditional channel\" width=\"768\" height=\"512\" title=\"Commercial execution in the traditional channel\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\"> <div class=\"uc_post_title\">Commercial execution in the traditional channel: what changed<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 10\/03\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Retail business data: the gap between what you see and what happens at the point of sale\nThe traditional channel...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta-768x512.webp\" alt=\"Retail business data: The gap between what you see and what happens at the point of sale\" width=\"768\" height=\"512\" title=\"Retail business data: The gap between what you see and what happens at the point of sale\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\"> <div class=\"uc_post_title\">Retail business data: the gap between what you see and what happens at the point of sale<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 19\/02\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Retail business data: the gap between what you see and what happens at the point of sale\n\nSubscribe\n\nFebruary...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Ejecucion-comercial-inteligente_-el-cambio-clave-en-2026-768x512.webp\" alt=\"Smart commercial execution: the key change in 2026\" width=\"768\" height=\"512\" title=\"Smart commercial execution: the key change in 2026\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\"> <div class=\"uc_post_title\">Intelligent commercial execution: the key shift in 2026<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 19\/01\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How to increase your sales with Big Data in 2025\nSmart sales execution will be key in 2026 for...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-aumentar-tus-ventas-con-big-data-en-2025\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-aumentar-tus-ventas-con-Big-Data-en-2025-768x512.webp\" alt=\"How to increase your sales with Big Data in 2025\" width=\"768\" height=\"512\" title=\"How to increase your sales with Big Data in 2025\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-aumentar-tus-ventas-con-big-data-en-2025\/\"> <div class=\"uc_post_title\">How to increase your sales with Big Data in 2025<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 20\/09\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How to increase your sales with Big Data in 2025\n\nSubscribe\n\nSeptember...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-aumentar-tus-ventas-con-big-data-en-2025\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Insights-propios-vs-estudios-externos-768x512.webp\" alt=\"Internal insights vs external studies\" width=\"768\" height=\"512\" title=\"Internal insights vs external studies\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\"> <div class=\"uc_post_title\">Internal insights vs. external studies: two sources, a single decision<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Internal insights vs external studies: two sources, one single decision\nStockouts continue to affect...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-768x512.webp\" alt=\"How artificial intelligence is revolutionizing execution in supermarket retail\" width=\"768\" height=\"512\" title=\"How artificial intelligence is revolutionizing execution in supermarket retail\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\"> <div class=\"uc_post_title\">How artificial intelligence is revolutionizing execution in supermarket retail<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How artificial intelligence is revolutionizing execution in supermarket retail\n\nSubscribe\n\nAugust...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-768x512.webp\" alt=\"Challenges and solutions in retail stock management this 2025\" width=\"768\" height=\"512\" title=\"Challenges and solutions in retail stock management this 2025\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\"> <div class=\"uc_post_title\">Challenges and solutions in retail stock management this 2025<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Challenges and solutions in retail stock management this 2025\nStockouts continue to affect...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva-768x512.webp\" alt=\"How to design an effective customer loyalty strategy\" width=\"768\" height=\"512\" title=\"How to design an effective customer loyalty strategy\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\"> <div class=\"uc_post_title\">How to design an effective customer loyalty strategy?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 18\/07\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How to design an effective customer loyalty strategy?\nThe company adopts a unified approach...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Que-tipos-de-incentivos-funcionan-en-el-comercio-minorista-768x512.webp\" alt=\"What types of incentives work in retail\" width=\"768\" height=\"512\" title=\"What types of incentives work in retail\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\"> <div class=\"uc_post_title\">What types of incentives work in retail?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 14\/03\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >What types of incentives work in retail?\nThe company adopts a unified approach...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-Canal-Tradicional-768x512.webp\" alt=\"3 keys to understanding consumer buying behavior in the Traditional Channel\" width=\"768\" height=\"512\" title=\"3 keys to understanding consumer buying behavior in the Traditional Channel\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\"> <div class=\"uc_post_title\">3 keys to understanding consumer buying behavior in the Traditional Channel<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 14\/03\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >3 keys to understanding consumer buying behavior in the Traditional Channel\nThe company...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n\n <\/div>\t\n<\/div>\n\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Your field data is ready. When will you use it? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumer Goods Your field data is ready. When will you use it? Point-of-sale execution generates data every day. The problem is that many operations still receive it too late, incomplete, or too disorganized to turn it into decisions. 7-minute read Data & CPG Sales Execution \u00b7 Field Teams \u00b7 Retail The problem isn\u2019t a lack of data\u2014it\u2019s the speed at which it reaches the decision-makers. Only 12% of retailers turn data into preventive actions. The remaining 88% continue to operate with partial visibility: they identify the problem only after the sale has already been lost. Your teams are already generating the information. What\u2019s missing is turning it into action before the point of sale takes the hit. 12% of retailers turn data into preventive actions. 7h+ are lost per chain each week managing, cleaning, and standardizing data. 10x average ROI when the operational bottleneck is eliminated. The Silent Problem That Destroys Results It\u2019s 8:00 AM. Your flagship product sold out yesterday at 15 key retail locations. Your teams are reviewing routes, the competition is restocking their shelves, and consumers are choosing other brands. By the time you find out, it\u2019s already too late. This scenario is no exception\u2014it\u2019s part of everyday life in many mass-market operations. Information about what\u2019s happening on the shelves arrives in fragments, late, and with too much noise to act on. Sales teams spend hours downloading files, cleaning up databases, reconciling formats, and standardizing data before they can perform their first real analysis. The cost isn\u2019t just in the time lost. It\u2019s in the out-of-stocks detected too late, the promotions nobody corrects in time, the displays audited after the campaign has ended, and the shelf space the competition takes over while the team is still trying to sort through the information. \u201cThe difference wasn\u2019t that the problems disappeared. It was that the team spotted them in time to do something about them.\u201d \u2014 Teamcore Success Story \u00b7 Health & Beauty \u00b7 Peru 2025 The bottleneck isn\u2019t in the quality of your teams. It\u2019s in the gap between the data generated in the field and the people who need to act on it. Teamcore Data Extraction exists to bridge that gap. What Is Teamcore Data Extraction? Data Extraction is the operational intelligence layer of the Teamcore platform that transforms everything that happens at the point of sale\u2014visits, execution tasks, photographic evidence, field responses\u2014into structured, downloadable, and actionable data in real time. It\u2019s not just a simple report exporter. It functions as a conversion engine: it takes the scattered field data from thousands of merchandisers and supervisors and transforms it into a standardized, filterable data sheet ready for strategic analysis. Current Module: Standard KPI Downloader\u2014historical sell-out, inventory, and availability metrics. Up to 2 years of data plus the current period in a single parameterized query. Current Module: Execution Downloader Comprehensive data sheet of field responses: task type, user, store, product down to the SKU level, time range, and links to photographic evidence. Current Module: Photo Downloader PDF download with advanced filters. Visual audit of the actual condition of the shelf without relying on manual reports. In Development: Smart Downloader The next evolution: smart KPIs with built-in AI to automatically prioritize alerts with the greatest impact on sales. How It Works: From the Field to Decision-Making The promise is simple: analysts start generating insights from the very first minute, not the seventh hour. 1 Execution via Mobile App Field teams complete facing, display, and promotional tasks through the app. Each response is automatically synchronized upon check-out, including georeferenced photographic evidence. 2 Processing in Datapipe Teamcore\u2019s data engine normalizes, enriches, and structures the information in real time, cross-referencing execution data with sell-out, inventory, and sales targets. 3 Query Configuration From the web platform, the analyst configures the data download: task type, user attributes, store attributes, product down to the SKU level, and exact time range. 4 Download Ready for Analysis The data sheet arrives clean, standardized, and structured. Zero preparation work. The team can move directly from insights to action. The real cost of not having this data on time: An 1% drop in shelf availability can represent millions in lost revenue per year. But the damage isn\u2019t just financial: every day without visibility pushes the team toward reaction rather than prevention. Without automation: 7 hours and 10 minutes per chain each week just on data management, cleaning, and standardization. With Teamcore: 26 minutes per chain each week. The difference isn\u2019t in producing more reports; it\u2019s in freeing up time for decision-making. A 93% reduction in data management time. In an operation with 9 lines, that equates to 3,150 hours freed up per year for analysis, prioritization, and action at the point of sale. The Big Picture When information arrives clean and on time, the conversation changes: the team stops asking \u201cwhat happened\u201d and starts deciding \u201cwhat do we do now?\u201d That difference separates reactive operations from proactive ones. Teamcore\u2019s Overall Impact in Numbers Operational visibility doesn\u2019t just organize information. It also improves the ability to recover sales, maintain availability, and resolve incidents before they escalate. An average of +75% in recovered sales with real-time operational visibility. 6\u20139% improvement in product availability on store shelves. \u221211.5% reduction in incident resolution time at the point of sale. +23% optimization of team time at the point of sale. For a retail operation, these numbers mean less time wasted on repetitive tasks and more capacity to act where sales happen: at the point of sale,<\/p>","protected":false},"author":2,"featured_media":5708,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[8],"tags":[],"class_list":["post-5706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"\n<title>Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore\" \/>\n<meta property=\"og:description\" content=\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumo masivo Tus datos de campo ya est\u00e1n listos.\u00bfCu\u00e1ndo los usar\u00e1s? La ejecuci\u00f3n en punto de venta genera datos todos los d\u00edas. El problema es que muchas operaciones todav\u00eda los reciben tarde, incompletos o demasiado desordenados para convertirlos en decisiones. 7 min de lectura Data & ejecuci\u00f3n comercial CPG \u00b7 Field Teams \u00b7 Retail El problema no es falta de datos Es la velocidad con la que llegan a quien debe decidir. Solo el 12% de los retailers convierte datos en acciones preventivas. El 88% restante sigue operando con visibilidad parcial: encuentra el problema cuando la venta ya se perdi\u00f3. Tus equipos ya est\u00e1n generando la informaci\u00f3n. Lo que falta es convertirla en acci\u00f3n antes de que el punto de venta cobre la factura. 12% de los retailers convierte datos en acciones preventivas. 7h+ se pierden por cadena cada semana gestionando, limpiando y homologando datos. 10x ROI promedio cuando se elimina el cuello de botella operativo. El problema silencioso que destruye resultados Son las 8:00 AM. Tu producto estrella se agot\u00f3 ayer en 15 puntos de venta clave. Tus equipos est\u00e1n revisando rutas, la competencia est\u00e1 reponiendo sus espacios, y los consumidores est\u00e1n eligiendo otras marcas. Para cuando te enteres, ya es demasiado tarde. Esta escena no es una excepci\u00f3n: es parte del d\u00eda a d\u00eda en muchas operaciones de consumo masivo. La informaci\u00f3n sobre lo que ocurre en la g\u00f3ndola llega fragmentada, tarde, y con demasiado ruido para actuar. Los equipos comerciales pasan horas descargando archivos, limpiando bases, cruzando formatos y homologando datos antes de llegar al primer an\u00e1lisis real. El costo no est\u00e1 solo en el tiempo perdido. Est\u00e1 en los agotados que se detectan tarde, en las promociones que nadie corrige a tiempo, en las exhibiciones que se auditan cuando ya termin\u00f3 la campa\u00f1a y en los espacios que la competencia ocupa mientras el equipo todav\u00eda intenta ordenar la informaci\u00f3n. \u201cLa diferencia no fue que los problemas desaparecieran. Fue que el equipo los vio a tiempo para hacer algo al respecto.\u201d \u2014 Caso de \u00e9xito Teamcore \u00b7 Higiene & Belleza \u00b7 Per\u00fa 2025 El cuello de botella no est\u00e1 en la calidad de tus equipos. Est\u00e1 en la distancia entre los datos que se generan en terreno y las personas que necesitan actuar sobre ellos. Teamcore Data Extraction existe para eliminar esa distancia. Qu\u00e9 es Teamcore Data Extraction Data Extraction es la capa de inteligencia operativa de la plataforma Teamcore que transforma todo lo que sucede en el punto de venta \u2014visitas, tareas de ejecuci\u00f3n, evidencias fotogr\u00e1ficas, respuestas de campo\u2014 en datos estructurados, descargables y accionables en tiempo real. No es un simple exportador de reportes. Funciona como un motor de conversi\u00f3n: toma la ejecuci\u00f3n dispersa de miles de mercaderistas y supervisores, y la transforma en una s\u00e1bana de datos homologada, filtrable y lista para el an\u00e1lisis estrat\u00e9gico. M\u00f3dulo actual Descargador Standard de KPIs Sell-out, inventarios y m\u00e9tricas de disponibilidad historizados. Hasta 2 a\u00f1os de datos m\u00e1s el per\u00edodo actual en una sola consulta parametrizada. M\u00f3dulo actual Descargador de Ejecuci\u00f3n S\u00e1bana completa de respuestas de campo: tipo de tarea, usuario, tienda, producto hasta nivel SKU, rango de tiempo y links a evidencias fotogr\u00e1ficas. M\u00f3dulo actual Descargador de Fotograf\u00edas Descarga en PDF con filtros avanzados. Auditor\u00eda visual del estado real de la g\u00f3ndola sin depender de reportes manuales. En desarrollo Descargador Smart La pr\u00f3xima evoluci\u00f3n: KPIs inteligentes con IA incorporada para priorizar autom\u00e1ticamente las alertas con mayor impacto en ventas. C\u00f3mo funciona: del campo a la decisi\u00f3n La promesa es simple: que el analista empiece a generar insights desde el minuto uno, no desde la hora siete. 1 Ejecuci\u00f3n en App Mobile Los equipos de campo completan tareas de facing, exhibici\u00f3n y promoci\u00f3n desde la app. Cada respuesta se sincroniza autom\u00e1ticamente al hacer check-out, incluyendo evidencias fotogr\u00e1ficas georreferenciadas. 2 Procesamiento en Datapipe El motor de datos de Teamcore normaliza, enriquece y estructura la informaci\u00f3n en tiempo real, cruzando datos de ejecuci\u00f3n con sell-out, inventarios y metas comerciales. 3 Parametrizaci\u00f3n de la consulta Desde la plataforma web, el analista configura su descarga: tipo de tarea, atributos de usuario, atributos de tienda, producto hasta nivel SKU y rango temporal exacto. 4 Descarga lista para el an\u00e1lisis La s\u00e1bana de datos llega limpia, homologada y estructurada. Cero trabajo de preparaci\u00f3n. El equipo puede pasar directo de la evidencia a la acci\u00f3n. El costo real de no tener estos datos a tiempo Un 1% menos de disponibilidad en g\u00f3ndola puede representar millones en ingresos perdidos al a\u00f1o. Pero el da\u00f1o no es solo econ\u00f3mico: cada d\u00eda sin visibilidad empuja al equipo hacia la reacci\u00f3n en lugar de la prevenci\u00f3n. Sin automatizaci\u00f3n 7h 10m por cadena cada semana solo en gesti\u00f3n, limpieza y homologaci\u00f3n de datos. Con Teamcore 26m por cadena cada semana. La diferencia no est\u00e1 en hacer m\u00e1s reportes; est\u00e1 en recuperar tiempo para decidir. 93% de reducci\u00f3n en tiempo de gesti\u00f3n de datos. En una operaci\u00f3n con 9 cadenas, eso equivale a 3.150 horas recuperadas al a\u00f1o para an\u00e1lisis, priorizaci\u00f3n y acci\u00f3n en punto de venta. La se\u00f1al de fondo Cuando la informaci\u00f3n llega limpia y a tiempo, cambia la conversaci\u00f3n: el equipo deja de preguntar \u201cqu\u00e9 pas\u00f3\u201d y empieza a decidir \u201cqu\u00e9 hacemos ahora\u201d. Esa diferencia separa a las operaciones que reaccionan de las que previenen. El impacto global de Teamcore en n\u00fameros La visibilidad operativa no solo ordena la informaci\u00f3n. Tambi\u00e9n mejora la capacidad de recuperar venta, sostener disponibilidad y resolver incidencias antes de que escalen. +75% promedio en venta recuperada con visibilidad operativa en tiempo real. 6\u20139% de mejora en disponibilidad de productos en g\u00f3ndola. \u221211.5% en tiempo de resoluci\u00f3n de incidencias en punto de venta. +23% de optimizaci\u00f3n del tiempo del equipo en el punto de venta. Para una operaci\u00f3n comercial, estos n\u00fameros significan menos tiempo perdido en tareas repetitivas y m\u00e1s capacidad para actuar donde se juega la venta: el punto de venta,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/\" \/>\n<meta property=\"og:site_name\" content=\"Teamcore\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-08T20:39:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-11T16:20:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1703\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Contacto\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Contacto\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\"},\"author\":{\"name\":\"Contacto\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/#\\\/schema\\\/person\\\/9a2c803c1b62f1939d4d7b59c3eb7825\"},\"headline\":\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s?\",\"datePublished\":\"2026-06-08T20:39:56+00:00\",\"dateModified\":\"2026-06-11T16:20:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\"},\"wordCount\":1181,\"image\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/teamcore.com\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg\",\"articleSection\":[\"Blog\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\",\"url\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\",\"name\":\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? 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When will you use it? - Teamcore","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/","og_locale":"en_US","og_type":"article","og_title":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore","og_description":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumo masivo Tus datos de campo ya est\u00e1n listos.\u00bfCu\u00e1ndo los usar\u00e1s? La ejecuci\u00f3n en punto de venta genera datos todos los d\u00edas. El problema es que muchas operaciones todav\u00eda los reciben tarde, incompletos o demasiado desordenados para convertirlos en decisiones. 7 min de lectura Data & ejecuci\u00f3n comercial CPG \u00b7 Field Teams \u00b7 Retail El problema no es falta de datos Es la velocidad con la que llegan a quien debe decidir. Solo el 12% de los retailers convierte datos en acciones preventivas. El 88% restante sigue operando con visibilidad parcial: encuentra el problema cuando la venta ya se perdi\u00f3. Tus equipos ya est\u00e1n generando la informaci\u00f3n. Lo que falta es convertirla en acci\u00f3n antes de que el punto de venta cobre la factura. 12% de los retailers convierte datos en acciones preventivas. 7h+ se pierden por cadena cada semana gestionando, limpiando y homologando datos. 10x ROI promedio cuando se elimina el cuello de botella operativo. El problema silencioso que destruye resultados Son las 8:00 AM. Tu producto estrella se agot\u00f3 ayer en 15 puntos de venta clave. Tus equipos est\u00e1n revisando rutas, la competencia est\u00e1 reponiendo sus espacios, y los consumidores est\u00e1n eligiendo otras marcas. Para cuando te enteres, ya es demasiado tarde. Esta escena no es una excepci\u00f3n: es parte del d\u00eda a d\u00eda en muchas operaciones de consumo masivo. La informaci\u00f3n sobre lo que ocurre en la g\u00f3ndola llega fragmentada, tarde, y con demasiado ruido para actuar. Los equipos comerciales pasan horas descargando archivos, limpiando bases, cruzando formatos y homologando datos antes de llegar al primer an\u00e1lisis real. El costo no est\u00e1 solo en el tiempo perdido. Est\u00e1 en los agotados que se detectan tarde, en las promociones que nadie corrige a tiempo, en las exhibiciones que se auditan cuando ya termin\u00f3 la campa\u00f1a y en los espacios que la competencia ocupa mientras el equipo todav\u00eda intenta ordenar la informaci\u00f3n. \u201cLa diferencia no fue que los problemas desaparecieran. Fue que el equipo los vio a tiempo para hacer algo al respecto.\u201d \u2014 Caso de \u00e9xito Teamcore \u00b7 Higiene & Belleza \u00b7 Per\u00fa 2025 El cuello de botella no est\u00e1 en la calidad de tus equipos. Est\u00e1 en la distancia entre los datos que se generan en terreno y las personas que necesitan actuar sobre ellos. Teamcore Data Extraction existe para eliminar esa distancia. Qu\u00e9 es Teamcore Data Extraction Data Extraction es la capa de inteligencia operativa de la plataforma Teamcore que transforma todo lo que sucede en el punto de venta \u2014visitas, tareas de ejecuci\u00f3n, evidencias fotogr\u00e1ficas, respuestas de campo\u2014 en datos estructurados, descargables y accionables en tiempo real. No es un simple exportador de reportes. Funciona como un motor de conversi\u00f3n: toma la ejecuci\u00f3n dispersa de miles de mercaderistas y supervisores, y la transforma en una s\u00e1bana de datos homologada, filtrable y lista para el an\u00e1lisis estrat\u00e9gico. M\u00f3dulo actual Descargador Standard de KPIs Sell-out, inventarios y m\u00e9tricas de disponibilidad historizados. Hasta 2 a\u00f1os de datos m\u00e1s el per\u00edodo actual en una sola consulta parametrizada. M\u00f3dulo actual Descargador de Ejecuci\u00f3n S\u00e1bana completa de respuestas de campo: tipo de tarea, usuario, tienda, producto hasta nivel SKU, rango de tiempo y links a evidencias fotogr\u00e1ficas. M\u00f3dulo actual Descargador de Fotograf\u00edas Descarga en PDF con filtros avanzados. Auditor\u00eda visual del estado real de la g\u00f3ndola sin depender de reportes manuales. En desarrollo Descargador Smart La pr\u00f3xima evoluci\u00f3n: KPIs inteligentes con IA incorporada para priorizar autom\u00e1ticamente las alertas con mayor impacto en ventas. C\u00f3mo funciona: del campo a la decisi\u00f3n La promesa es simple: que el analista empiece a generar insights desde el minuto uno, no desde la hora siete. 1 Ejecuci\u00f3n en App Mobile Los equipos de campo completan tareas de facing, exhibici\u00f3n y promoci\u00f3n desde la app. Cada respuesta se sincroniza autom\u00e1ticamente al hacer check-out, incluyendo evidencias fotogr\u00e1ficas georreferenciadas. 2 Procesamiento en Datapipe El motor de datos de Teamcore normaliza, enriquece y estructura la informaci\u00f3n en tiempo real, cruzando datos de ejecuci\u00f3n con sell-out, inventarios y metas comerciales. 3 Parametrizaci\u00f3n de la consulta Desde la plataforma web, el analista configura su descarga: tipo de tarea, atributos de usuario, atributos de tienda, producto hasta nivel SKU y rango temporal exacto. 4 Descarga lista para el an\u00e1lisis La s\u00e1bana de datos llega limpia, homologada y estructurada. Cero trabajo de preparaci\u00f3n. El equipo puede pasar directo de la evidencia a la acci\u00f3n. El costo real de no tener estos datos a tiempo Un 1% menos de disponibilidad en g\u00f3ndola puede representar millones en ingresos perdidos al a\u00f1o. Pero el da\u00f1o no es solo econ\u00f3mico: cada d\u00eda sin visibilidad empuja al equipo hacia la reacci\u00f3n en lugar de la prevenci\u00f3n. Sin automatizaci\u00f3n 7h 10m por cadena cada semana solo en gesti\u00f3n, limpieza y homologaci\u00f3n de datos. Con Teamcore 26m por cadena cada semana. La diferencia no est\u00e1 en hacer m\u00e1s reportes; est\u00e1 en recuperar tiempo para decidir. 93% de reducci\u00f3n en tiempo de gesti\u00f3n de datos. En una operaci\u00f3n con 9 cadenas, eso equivale a 3.150 horas recuperadas al a\u00f1o para an\u00e1lisis, priorizaci\u00f3n y acci\u00f3n en punto de venta. La se\u00f1al de fondo Cuando la informaci\u00f3n llega limpia y a tiempo, cambia la conversaci\u00f3n: el equipo deja de preguntar \u201cqu\u00e9 pas\u00f3\u201d y empieza a decidir \u201cqu\u00e9 hacemos ahora\u201d. Esa diferencia separa a las operaciones que reaccionan de las que previenen. El impacto global de Teamcore en n\u00fameros La visibilidad operativa no solo ordena la informaci\u00f3n. Tambi\u00e9n mejora la capacidad de recuperar venta, sostener disponibilidad y resolver incidencias antes de que escalen. +75% promedio en venta recuperada con visibilidad operativa en tiempo real. 6\u20139% de mejora en disponibilidad de productos en g\u00f3ndola. \u221211.5% en tiempo de resoluci\u00f3n de incidencias en punto de venta. +23% de optimizaci\u00f3n del tiempo del equipo en el punto de venta. Para una operaci\u00f3n comercial, estos n\u00fameros significan menos tiempo perdido en tareas repetitivas y m\u00e1s capacidad para actuar donde se juega la venta: el punto de venta,","og_url":"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/","og_site_name":"Teamcore","article_published_time":"2026-06-08T20:39:56+00:00","article_modified_time":"2026-06-11T16:20:03+00:00","og_image":[{"width":2560,"height":1703,"url":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","type":"image\/jpeg"}],"author":"Contacto","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Contacto","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#article","isPartOf":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/"},"author":{"name":"Contacto","@id":"https:\/\/teamcore.com\/#\/schema\/person\/9a2c803c1b62f1939d4d7b59c3eb7825"},"headline":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s?","datePublished":"2026-06-08T20:39:56+00:00","dateModified":"2026-06-11T16:20:03+00:00","mainEntityOfPage":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/"},"wordCount":1181,"image":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#primaryimage"},"thumbnailUrl":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","articleSection":["Blog"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/","url":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/","name":"Your field data is already ready. 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height: 120px;\r\n right: -62px; top: -62px;\r\n border-radius: 50%;\r\n background: rgba(114,182,153,0.10);\r\n}\r\n.module-kicker {\r\n font-family: var(--font-head); font-size: 10px; font-weight: 800; letter-spacing: 1.8px;\r\n text-transform: uppercase; color: var(--teal-dark); margin-bottom: 10px;\r\n}\r\n.module-card h4 {\r\n font-family: var(--font-head); font-size: 22px; color: var(--navy); line-height: 1.3; margin-bottom: 10px;\r\n}\r\n.module-card p { font-size: 17px; color: var(--muted); line-height: 1.72; margin-bottom: 0; }\r\n\r\n.process {\r\n margin: 48px 0;\r\n border: 1px solid var(--border);\r\n border-radius: 18px;\r\n overflow: hidden;\r\n background: #fff;\r\n}\r\n.process-step {\r\n display: grid;\r\n grid-template-columns: 84px 1fr;\r\n gap: 22px;\r\n padding: 28px 30px;\r\n border-bottom: 1px solid var(--border);\r\n}\r\n.process-step:last-child { border-bottom: none; }\r\n.process-num {\r\n width: 52px; height: 52px;\r\n border-radius: 15px;\r\n background: linear-gradient(135deg, #02193a, #003670);\r\n color: var(--teal);\r\n font-family: var(--font-head);\r\n font-weight: 900;\r\n font-size: 22px;\r\n display: flex; 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color: var(--red); margin-bottom: 10px;\r\n}\r\n.compare-card.dark .compare-number { color: var(--teal); }\r\n.compare-card p { font-size: 17px; color: var(--muted); margin: 0; line-height: 1.68; }\r\n.compare-card.dark p { color: rgba(255,255,255,0.72); }\r\n\r\n.big-number {\r\n display: flex; align-items: baseline; gap: 18px;\r\n background: linear-gradient(135deg, #02193a 0%, #003670 100%);\r\n border-radius: 16px;\r\n padding: 34px 40px; margin: 44px 0;\r\n}\r\n.big-n {\r\n font-family: var(--font-head); font-size: 86px; font-weight: 900;\r\n color: var(--teal); line-height: 1; flex-shrink: 0;\r\n}\r\n.big-n-text { font-size: 19px; color: rgba(255,255,255,0.74); line-height: 1.65; }\r\n.big-n-text strong { color: #fff; font-weight: 600; }\r\n\r\n.impact-grid {\r\n display: grid;\r\n grid-template-columns: repeat(4, 1fr);\r\n gap: 20px;\r\n margin: 48px 0;\r\n}\r\n.impact-card {\r\n background: linear-gradient(160deg, #ffffff 0%, #f4f8fd 100%);\r\n border: 1px solid var(--border);\r\n border-radius: 16px;\r\n padding: 24px 18px;\r\n}\r\n.impact-number {\r\n font-family: var(--font-head);\r\n font-size: 42px;\r\n font-weight: 900;\r\n color: var(--teal-dark);\r\n line-height: 1;\r\n margin-bottom: 12px;\r\n}\r\n.impact-card p { font-size: 15px; line-height: 1.5; color: var(--muted); margin: 0; }\r\n\r\n.insight {\r\n background: linear-gradient(135deg, #e6f2ff 0%, #ddf0ea 100%);\r\n border: 1px solid #bcd8f5;\r\n border-radius: 16px;\r\n padding: 36px 40px; margin: 48px 0;\r\n}\r\n.insight-label {\r\n font-family: var(--font-head);\r\n font-size: 10px; font-weight: 700;\r\n letter-spacing: 2px; text-transform: uppercase;\r\n color: var(--teal-dark); margin-bottom: 12px;\r\n display: flex; align-items: center; gap: 6px;\r\n}\r\n.insight p { font-size: 19px; color: #1b3050; margin-bottom: 0; }\r\n\r\n.cta-block {\r\n background: linear-gradient(145deg, #01112a 0%, #003670 55%, #0a4f6a 100%);\r\n border-radius: 22px;\r\n padding: 68px 54px;\r\n text-align: center; margin-top: 76px;\r\n position: relative; overflow: hidden;\r\n}\r\n.cta-block::before {\r\n content: ''; position: absolute; bottom: -60px; right: -60px;\r\n width: 300px; height: 300px;\r\n border: 52px solid rgba(114,182,153,0.07); border-radius: 50%;\r\n}\r\n.cta-block::after {\r\n content: ''; position: absolute; top: -40px; left: -40px;\r\n width: 190px; height: 190px;\r\n border: 36px solid rgba(93,146,175,0.06); border-radius: 50%;\r\n}\r\n.cta-block h2 {\r\n color: #fff; margin-top: 0; font-size: clamp(20px, 3vw, 30px);\r\n position: relative; z-index: 1; display: block;\r\n}\r\n.cta-block p {\r\n color: rgba(255,255,255,0.62);\r\n max-width: 500px; margin: 0 auto 32px;\r\n font-size: 18px; position: relative; z-index: 1;\r\n}\r\n.cta-btn {\r\n display: inline-block;\r\n background: linear-gradient(135deg, #72B699 0%, #4a9478 100%);\r\n color: var(--navy);\r\n font-family: var(--font-head);\r\n font-size: 15px; font-weight: 700;\r\n padding: 16px 46px; border-radius: 40px;\r\n text-decoration: none; letter-spacing: 0.3px;\r\n position: relative; z-index: 1;\r\n transition: transform 0.18s, box-shadow 0.18s;\r\n box-shadow: 0 6px 24px rgba(72,180,150,0.3);\r\n}\r\n.cta-btn:hover { transform: translateY(-3px); box-shadow: 0 10px 32px rgba(72,180,150,0.4); }\r\n\r\n\r\n@media (min-width: 1180px) {\r\n .hero { min-height: 760px; }\r\n\r\n \/* Desktop amplio: el hero se mantiene, pero el cuerpo usa mucho m\u00e1s ancho \u00fatil. *\/\r\n .article {\r\n max-width: 1680px;\r\n padding-left: clamp(56px, 4vw, 88px);\r\n padding-right: clamp(56px, 4vw, 88px);\r\n }\r\n\r\n .article > p,\r\n .article > h2,\r\n .article > h3,\r\n .article > .opener,\r\n .article > .pullquote,\r\n .article > .scene,\r\n .article > .insight {\r\n max-width: 1320px;\r\n }\r\n\r\n .article > p {\r\n font-size: clamp(20px, 1.15vw, 23px);\r\n line-height: 1.82;\r\n }\r\n\r\n .article > .opener {\r\n max-width: 1400px;\r\n }\r\n\r\n .article > .stat-grid,\r\n .article > .data-hero,\r\n .article > .module-grid,\r\n .article > .process,\r\n .article > .comparison,\r\n .article > .big-number,\r\n .article > .impact-grid,\r\n .article > .cta-block,\r\n .article > .divider {\r\n width: 100%;\r\n max-width: none;\r\n }\r\n\r\n .data-hero {\r\n grid-template-columns: 1.18fr 0.82fr;\r\n min-height: 430px;\r\n }\r\n .data-hero-copy { padding: 56px 64px; }\r\n .data-hero-copy p { font-size: 20px; line-height: 1.75; }\r\n .process-step { grid-template-columns: 104px 1fr; padding: 34px 44px; }\r\n .process-step p { font-size: 18px; }\r\n .process-num { width: 62px; height: 62px; font-size: 26px; }\r\n}\r\n\r\n@media (min-width: 1600px) {\r\n .article {\r\n max-width: 1780px;\r\n padding-left: 64px;\r\n padding-right: 64px;\r\n }\r\n\r\n .article > p,\r\n .article > h2,\r\n .article > h3,\r\n .article > .opener,\r\n .article > .pullquote,\r\n .article > .scene,\r\n .article > .insight {\r\n max-width: 1460px;\r\n }\r\n}\r\n\r\n@media (max-width: 860px) {\r\n .hero-visual { opacity: 0.25; right: -40px; width: 420px; }\r\n .impact-grid { grid-template-columns: 1fr 1fr; }\r\n}\r\n@media (max-width: 680px) {\r\n .hero h1 { font-size: clamp(34px, 11vw, 46px); }\r\n .hero-deck { font-size: 17px; }\r\n p { font-size: 17px; }\r\n h2 { font-size: clamp(22px, 7vw, 29px); }\r\n .hero-inner { padding: 60px 24px 50px; }\r\n .article { max-width: 100%; padding: 44px 20px 72px; }\r\n .stat-grid, .module-grid, .comparison, .data-hero { grid-template-columns: 1fr; }\r\n .impact-grid { grid-template-columns: 1fr 1fr; }\r\n .scene { padding: 30px 28px; }\r\n .cta-block { padding: 44px 28px; }\r\n .big-number { flex-direction: column; gap: 4px; }\r\n .big-n { font-size: 50px; }\r\n .process-step { grid-template-columns: 1fr; gap: 12px; padding: 24px; }\r\n .data-hero-graphic { min-height: 230px; }\r\n}\r\n@media (max-width: 430px) {\r\n .impact-grid { grid-template-columns: 1fr; }\r\n}\r\n<\/style>\r\n<\/head>\r\n<body>\r\n\r\n<header class=\"hero\">\r\n <div class=\"hero-orb1\"><\/div>\r\n <div class=\"hero-orb2\"><\/div>\r\n <div class=\"hero-lines\"><\/div>\r\n <div class=\"hero-grid\"><\/div>\r\n <div class=\"hero-visual\" aria-hidden=\"true\">\r\n <svg viewbox=\"0 0 420 420\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\r\n <rect x=\"62\" y=\"80\" width=\"296\" height=\"230\" rx=\"24\" fill=\"rgba(255,255,255,0.08)\" stroke=\"rgba(255,255,255,0.22)\"\/>\r\n <rect x=\"94\" y=\"118\" width=\"90\" height=\"12\" rx=\"6\" fill=\"#72B699\"\/>\r\n <rect x=\"94\" y=\"152\" width=\"230\" height=\"10\" rx=\"5\" fill=\"rgba(255,255,255,0.34)\"\/>\r\n <rect x=\"94\" y=\"180\" width=\"178\" height=\"10\" rx=\"5\" fill=\"rgba(255,255,255,0.24)\"\/>\r\n <rect x=\"94\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(114,182,153,0.20)\"\/>\r\n <rect x=\"158\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <rect x=\"222\" y=\"224\" width=\"48\" height=\"48\" rx=\"12\" fill=\"rgba(248,180,117,0.20)\"\/>\r\n <path d=\"M118 248h128\" stroke=\"#72B699\" stroke-width=\"4\" stroke-linecap=\"round\"\/>\r\n <circle cx=\"300\" cy=\"78\" r=\"34\" fill=\"rgba(114,182,153,0.22)\"\/>\r\n <path d=\"M286 78l10 10 20-22\" stroke=\"#72B699\" stroke-width=\"7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\r\n <circle cx=\"82\" cy=\"318\" r=\"30\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <path d=\"M70 318h24M82 306v24\" stroke=\"#5D92AF\" stroke-width=\"6\" stroke-linecap=\"round\"\/>\r\n <\/svg>\r\n <\/div>\r\n <div class=\"hero-inner\">\r\n <div class=\"hero-eyebrow\">\r\n <span class=\"hero-tag\">Retail Execution \u00b7 Data Extraction<\/span>\r\n <span class=\"hero-date\">Teamcore Editorial \u00b7 Mass Consumer<\/span>\r\n <\/div>\r\n <h1>Your field data is ready.<br><em>When will you use them?<\/em><\/h1>\r\n <p class=\"hero-deck\">Point of sale execution generates data every day. The problem is that many operations still receive it late, incomplete, or too disorganized to turn into decisions.<\/p>\r\n <div class=\"hero-meta\">\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>7 min read<\/span>\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>Data & Commercial Execution<\/span>\r\n <span class=\"meta-pill\"><span class=\"meta-dot\"><\/span>CPG \u00b7 Field Teams \u00b7 Retail<\/span>\r\n <\/div>\r\n <\/div>\r\n<\/header>\r\n\r\n<article class=\"article\">\r\n\r\n <div class=\"data-hero reveal scale-up\">\r\n <div class=\"data-hero-copy\">\r\n <div class=\"label\">The problem is not a lack of data<\/div>\r\n <h2>It is the speed with which they reach the person who must decide.<\/h2>\r\n <p>Only 12% of retailers turns data into preventive actions. The remaining 88% continue to operate with limited visibility: they identify the problem only after the sale has already been lost.<\/p>\r\n <\/div>\r\n <div class=\"data-hero-graphic\" aria-hidden=\"true\">\r\n <svg viewbox=\"0 0 360 260\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\r\n <rect x=\"24\" y=\"30\" width=\"312\" height=\"198\" rx=\"18\" fill=\"rgba(255,255,255,0.08)\" stroke=\"rgba(255,255,255,0.18)\"\/>\r\n <rect x=\"52\" y=\"58\" width=\"102\" height=\"12\" rx=\"6\" fill=\"#72B699\"\/>\r\n <rect x=\"52\" y=\"92\" width=\"256\" height=\"8\" rx=\"4\" fill=\"rgba(255,255,255,0.32)\"\/>\r\n <rect x=\"52\" y=\"114\" width=\"218\" height=\"8\" rx=\"4\" fill=\"rgba(255,255,255,0.22)\"\/>\r\n <rect x=\"52\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(114,182,153,0.20)\"\/>\r\n <rect x=\"112\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(93,146,175,0.22)\"\/>\r\n <rect x=\"172\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(248,180,117,0.20)\"\/>\r\n <rect x=\"232\" y=\"150\" width=\"46\" height=\"46\" rx=\"10\" fill=\"rgba(255,255,255,0.12)\"\/>\r\n <path d=\"M68 172l10 10 20-26\" stroke=\"#72B699\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\r\n <circle cx=\"135\" cy=\"173\" r=\"11\" stroke=\"#5D92AF\" stroke-width=\"5\"\/>\r\n <path d=\"M190 162v22M179 173h22\" stroke=\"#F8B475\" stroke-width=\"5\" stroke-linecap=\"round\"\/>\r\n <path d=\"M240 162l24 24M264 162l-24 24\" stroke=\"rgba(255,255,255,0.55)\" stroke-width=\"4\" stroke-linecap=\"round\"\/>\r\n <\/svg>\r\n <\/div>\r\n <\/div>\r\n\r\n <p class=\"opener reveal\">Your teams are already generating the information. What is missing is turning it into action before the point of sale collects the invoice.<\/p>\r\n\r\n <div class=\"stat-grid stagger-group\">\r\n <div class=\"stat-card c-teal\">\r\n <div class=\"stat-num\">12%<\/div>\r\n <div class=\"stat-label\">from retailers turns data into preventive actions.<\/div>\r\n <\/div>\r\n <div class=\"stat-card c-sky\">\r\n <div class=\"stat-num down\">7h+<\/div>\r\n <div class=\"stat-label\">they are lost per chain every week managing, cleaning, and standardizing data.<\/div>\r\n <\/div>\r\n <div class=\"stat-card c-amber\">\r\n <div class=\"stat-num up\">10x<\/div>\r\n <div class=\"stat-label\">Average ROI when eliminating the operational bottleneck.<\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10.29 3.86L1.82 18a2 2 0 001.71 3h16.94a2 2 0 001.71-3L13.71 3.86a2 2 0 00-3.42 0z\"\/><line x1=\"12\" y1=\"9\" x2=\"12\" y2=\"13\"\/><line x1=\"12\" y1=\"17\" x2=\"12.01\" y2=\"17\"\/><\/svg>\r\n <\/span>\r\n The silent problem that destroys results\r\n <\/h2>\r\n\r\n <div class=\"scene reveal\">\r\n <p>It is 8:00 AM. Your star product sold out yesterday in 15 key points of sale. Your teams are reviewing routes, the competition is restocking their spaces, and consumers are choosing other brands.<\/p>\r\n <p><strong>By the time you find out, it's already too late.<\/strong><\/p>\r\n <\/div>\r\n\r\n <p class=\"reveal\">This scene is no exception: it is part of daily life in many mass consumer operations. Information about what happens on the shelf arrives fragmented, late, and with too much noise to act upon. Commercial teams spend hours downloading files, cleaning databases, cross-referencing formats, and harmonizing data before reaching the first real analysis.<\/p>\r\n\r\n <p class=\"reveal\">The cost is not just in the wasted time. It is in the exhausted employees who are detected late, in the promotions that no one corrects in time, in the displays that are audited when the campaign has already ended, and in the spaces that the competition occupies while the team is still trying to organize the information.<\/p>\r\n\r\n <div class=\"pullquote reveal from-left\">\r\n <p>\u201cThe difference wasn't that the problems disappeared. It was that the team saw them in time to do something about it.\u201d<\/p>\r\n <cite>\u2014 Success story Teamcore \u00b7 Hygiene & Beauty \u00b7 Peru 2025<\/cite>\r\n <\/div>\r\n\r\n <p class=\"reveal\">The bottleneck is not in the quality of your equipment. It is in the distance between the data generated in the field and the people who need to act on it. Teamcore Data Extraction exists to eliminate that distance.<\/p>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 16V8a2 2 0 00-1-1.73l-7-4a2 2 0 00-2 0l-7 4A2 2 0 003 8v8a2 2 0 001 1.73l7 4a2 2 0 002 0l7-4A2 2 0 0021 16z\"\/><polyline points=\"3.27 6.96 12 12.01 20.73 6.96\"\/><line x1=\"12\" y1=\"22.08\" x2=\"12\" y2=\"12\"\/><\/svg>\r\n <\/span>\r\n What is Teamcore Data Extraction\r\n <\/h2>\r\n\r\n <p class=\"reveal\">Data Extraction is the operational intelligence layer of the Teamcore platform that transforms everything that happens at the point of sale \u2014 visits, execution tasks, photographic evidence, and field responses \u2014 into structured, downloadable, and actionable data in real time.<\/p>\r\n\r\n <p class=\"reveal\">It is not a simple report exporter. It works as a conversion engine: it takes the scattered execution of thousands of merchandisers and supervisors and transforms it into a standardized, filterable data sheet ready for strategic analysis.<\/p>\r\n\r\n <div class=\"module-grid stagger-group\">\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Standard KPI Downloader<\/h4>\r\n <p>Sell-out, inventories, and historical availability metrics. Up to 2 years of data plus the current period in a single parameterized query.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Execution Downloader<\/h4>\r\n <p>Complete field response sheet: task type, user, store, product down to SKU level, time range, and links to photographic evidence.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">Current module<\/div>\r\n <h4>Photo Downloader<\/h4>\r\n <p>PDF download with advanced filters. Visual audit of the actual shelf status without relying on manual reports.<\/p>\r\n <\/div>\r\n <div class=\"module-card\">\r\n <div class=\"module-kicker\">In development<\/div>\r\n <h4>Smart Downloader<\/h4>\r\n <p>The next evolution: intelligent KPIs with built-in AI to automatically prioritize alerts with the highest sales impact.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"\/><\/svg>\r\n <\/span>\r\n How it works: from the field to the decision\r\n <\/h2>\r\n\r\n <p class=\"reveal\">The promise is simple: for the analyst to start generating insights from minute one, not from hour seven.<\/p>\r\n\r\n <div class=\"process reveal scale-up\">\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">1<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Mobile App Execution<\/h4>\r\n <p>Field teams complete facing, display, and promotion tasks from the app. Each response is automatically synchronized upon check-out, including georeferenced photographic evidence.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">2<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Datapipe Processing<\/h4>\r\n <p>Teamcore's data engine normalizes, enriches, and structures information in real time, cross-referencing execution data with sell-out, inventories, and business goals.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">3<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Query parameterization<\/h4>\r\n <p>From the web platform, the analyst configures their download: task type, user attributes, store attributes, product down to the SKU level, and exact time range.<\/p>\r\n <\/div>\r\n <\/div>\r\n <div class=\"process-step\">\r\n <div class=\"process-num\">4<\/div>\r\n <div class=\"process-copy\">\r\n <h4>Download ready for analysis<\/h4>\r\n <p>The data sheet arrives clean, standardized, and structured. Zero preparation work. The team can go straight from evidence to action.<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polyline points=\"12 6 12 12 16 14\"\/><\/svg>\r\n <\/span>\r\n The real cost of not having this data on time\r\n <\/h2>\r\n\r\n <p class=\"reveal\">An 1% drop in shelf availability can mean millions in lost revenue per year. But the damage isn't just financial: every day without visibility forces the team to react rather than prevent problems.<\/p>\r\n\r\n <div class=\"comparison reveal\">\r\n <div class=\"compare-card\">\r\n <div class=\"compare-label\">Without automation<\/div>\r\n <div class=\"compare-number\">7h 10m<\/div>\r\n <p>per chain each week just in data management, cleaning, and standardization.<\/p>\r\n <\/div>\r\n <div class=\"compare-card dark\">\r\n <div class=\"compare-label\">With Teamcore<\/div>\r\n <div class=\"compare-number\">26m<\/div>\r\n <p>per chain each week. The difference isn't in making more reports; it's in recovering time to decide.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"big-number reveal scale-up\">\r\n <div class=\"big-n\">93%<\/div>\r\n <div class=\"big-n-text\">\r\n <strong>of reduction in data management time.<\/strong> In an operation with 9 chains, that is equivalent to 3,150 hours recovered per year for analysis, prioritization, and action at the point of sale.\r\n <\/div>\r\n <\/div>\r\n\r\n <div class=\"insight reveal\">\r\n <div class=\"insight-label\">\r\n <svg width=\"14\" height=\"14\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><line x1=\"12\" y1=\"8\" x2=\"12\" y2=\"12\"\/><line x1=\"12\" y1=\"16\" x2=\"12.01\" y2=\"16\"\/><\/svg>\r\n The background signal\r\n <\/div>\r\n <p>When information arrives clean and on time, it changes the conversation: the team stops asking \u201cwhat happened\u201d and starts deciding \u201cwhat do we do now.\u201d That difference separates operations that react from those that prevent.<\/p>\r\n <\/div>\r\n\r\n <div class=\"divider\"><\/div>\r\n\r\n <h2 class=\"reveal\">\r\n <span class=\"h-icon\">\r\n <svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#003670\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><line x1=\"18\" y1=\"20\" x2=\"18\" y2=\"10\"\/><line x1=\"12\" y1=\"20\" x2=\"12\" y2=\"4\"\/><line x1=\"6\" y1=\"20\" x2=\"6\" y2=\"14\"\/><\/svg>\r\n <\/span>\r\n The global impact of Teamcore in numbers\r\n <\/h2>\r\n\r\n <p class=\"reveal\">Operational visibility doesn't just organize information. It also improves the ability to recover sales, sustain availability, and resolve incidents before they escalate.<\/p>\r\n\r\n <div class=\"impact-grid stagger-group\">\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">+75%<\/div>\r\n <p>average recovered sales with real-time operational visibility.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">6\u20139%<\/div>\r\n <p>for improving product availability on the shelf.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">\u221211.5%<\/div>\r\n <p>in point of sale incident resolution time.<\/p>\r\n <\/div>\r\n <div class=\"impact-card\">\r\n <div class=\"impact-number\">+23%<\/div>\r\n <p>of team time optimization at the point of sale.<\/p>\r\n <\/div>\r\n <\/div>\r\n\r\n <p class=\"reveal\">For a commercial operation, these numbers mean less time wasted on repetitive tasks and a greater capacity to act where sales are won: the point of sale, the shelf, the display, inventory, and the field team's visit.<\/p>\r\n\r\n <p class=\"reveal\">The data is already there. It's in every visit, every photograph, every completed task, every check-out, every out-of-stock SKU, every piece of evidence the team gathers in the field. The difference lies in how long it takes to turn into a decision.<\/p>\r\n\r\n <div class=\"cta-block reveal scale-up\">\r\n <h2>Ready to use your field data on time?<\/h2>\r\n <p>Learn how Teamcore Data Extraction turns execution into clean, structured, and actionable data for your commercial teams.<\/p>\r\n <a href=\"https:\/\/teamcore.com\/en\/contact\/\" class=\"cta-btn\">Speak with a specialist \u2192<\/a>\r\n <\/div>\r\n\r\n<\/article>\r\n\r\n<script>\r\n(function(){\r\n var io = new IntersectionObserver(function(entries){\r\n entries.forEach(function(e){\r\n if(e.isIntersecting){\r\n e.target.classList.add('is-visible');\r\n io.unobserve(e.target);\r\n }\r\n });\r\n },{threshold:0.1, rootMargin:'0px 0px -40px 0px'});\r\n document.querySelectorAll('.reveal,.stagger-group').forEach(function(el){ io.observe(el); });\r\n})();\r\n<\/script>\r\n\r\n<\/body>\r\n<\/html>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ecf2215 e-con-full e-flex 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class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/friends-toasting-with-beer-watching-soccer-match-i-2026-03-24-12-58-09-utc-768x512.jpg\" alt=\"Young group of friends watching sport on television\" width=\"768\" height=\"512\" title=\"Young group of friends watching sport on television\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\"> <div class=\"uc_post_title\">The tournament has started. Your gondola is playing too.<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 25\/06\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Football season and your gondola \u2014 Teamcore Blog\n\n\n\n\n\n\n\n Retail & CPG \u00b7 Trends...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/el-torneo-empieza-tu-gondola-tambien-esta-jugando\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-768x511.jpg\" alt=\"Customer opening refrigerator door in supermarket, choosing groceries, healthy food, shopping concept\" width=\"768\" height=\"511\" title=\"Customer opening refrigerator door in supermarket, choosing groceries, healthy food, shopping concept\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\"> <div class=\"uc_post_title\">Your field data is already ready. When will you use it?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 08\/06\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Your field data is already ready. When will you use it? \u2014 Teamcore Blog...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-Canal-Tradicional-1-768x512.webp\" alt=\"3 keys to understanding consumer buying behavior in the Traditional Channel (1)\" width=\"768\" height=\"512\" title=\"3 keys to understanding consumer buying behavior in the Traditional Channel (1)\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\"> <div class=\"uc_post_title\">How the 2026 Tournament is changing retail execution in LATAM<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 24\/04\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How the 2026 Great Tournament is transforming retail execution in LATAM\n\nSubscribe\n\nApril...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-el-mundial-2026-esta-cambiando-la-ejecucion-en-retail-en-latam\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Insights-propios-vs-estudios-externos-768x512.webp\" alt=\"Internal insights vs external studies\" width=\"768\" height=\"512\" title=\"Internal insights vs external studies\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\"> <div class=\"uc_post_title\">Internal insights vs. external studies: two sources, a single decision<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 08\/04\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Internal insights vs. external studies: two sources, a single decision\nMost companies have...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Ejecucion-comercial-en-el-canal-tradicional-768x512.webp\" alt=\"Commercial execution in the traditional channel\" width=\"768\" height=\"512\" title=\"Commercial execution in the traditional channel\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\"> <div class=\"uc_post_title\">Commercial execution in the traditional channel: what changed<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 10\/03\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Retail business data: the gap between what you see and what happens at the point of sale\nThe traditional channel...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-en-el-canal-tradicional-que-cambio\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta-768x512.webp\" alt=\"Retail business data: The gap between what you see and what happens at the point of sale\" width=\"768\" height=\"512\" title=\"Retail business data: The gap between what you see and what happens at the point of sale\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\"> <div class=\"uc_post_title\">Retail business data: the gap between what you see and what happens at the point of sale<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 19\/02\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Retail business data: the gap between what you see and what happens at the point of sale\n\nSubscribe\n\nFebruary...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/datos-comerciales-en-retail-el-gap-entre-lo-que-ves-y-lo-que-pasa-en-el-punto-de-venta\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Ejecucion-comercial-inteligente_-el-cambio-clave-en-2026-768x512.webp\" alt=\"Smart commercial execution: the key change in 2026\" width=\"768\" height=\"512\" title=\"Smart commercial execution: the key change in 2026\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\"> <div class=\"uc_post_title\">Intelligent commercial execution: the key shift in 2026<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 19\/01\/2026<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How to increase your sales with Big Data in 2025\nSmart sales execution will be key in 2026 for...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/ejecucion-comercial-inteligente-el-cambio-clave-en-2026\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-aumentar-tus-ventas-con-big-data-en-2025\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-aumentar-tus-ventas-con-Big-Data-en-2025-768x512.webp\" alt=\"How to increase your sales with Big Data in 2025\" width=\"768\" height=\"512\" title=\"How to increase your sales with Big Data in 2025\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div 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ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Insights-propios-vs-estudios-externos-768x512.webp\" alt=\"Internal insights vs external studies\" width=\"768\" height=\"512\" title=\"Internal insights vs external studies\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\"> <div class=\"uc_post_title\">Internal insights vs. external studies: two sources, a single decision<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Internal insights vs external studies: two sources, one single decision\nStockouts continue to affect...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/insights-propios-vs-estudios-externos-dos-fuentes-una-sola-decision-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-768x512.webp\" alt=\"How artificial intelligence is revolutionizing execution in supermarket retail\" width=\"768\" height=\"512\" title=\"How artificial intelligence is revolutionizing execution in supermarket retail\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\"> <div class=\"uc_post_title\">How artificial intelligence is revolutionizing execution in supermarket retail<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How artificial intelligence is revolutionizing execution in supermarket retail\n\nSubscribe\n\nAugust...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-la-inteligencia-artificial-esta-revolucionando-la-ejecucion-en-el-retail-de-supermercados-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-768x512.webp\" alt=\"Challenges and solutions in retail stock management this 2025\" width=\"768\" height=\"512\" title=\"Challenges and solutions in retail stock management this 2025\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\"> <div class=\"uc_post_title\">Challenges and solutions in retail stock management this 2025<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 11\/08\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >Challenges and solutions in retail stock management this 2025\nStockouts continue to affect...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/desafios-y-soluciones-en-la-gestion-de-stock-retail-este-2025-2\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva-768x512.webp\" alt=\"How to design an effective customer loyalty strategy\" width=\"768\" height=\"512\" title=\"How to design an effective customer loyalty strategy\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\"> <div class=\"uc_post_title\">How to design an effective customer loyalty strategy?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 18\/07\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >How to design an effective customer loyalty strategy?\nThe company adopts a unified approach...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/como-disenar-una-estrategia-de-fidelizacion-de-clientes-efectiva\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/Que-tipos-de-incentivos-funcionan-en-el-comercio-minorista-768x512.webp\" alt=\"What types of incentives work in retail\" width=\"768\" height=\"512\" title=\"What types of incentives work in retail\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\"> <div class=\"uc_post_title\">What types of incentives work in retail?<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 14\/03\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >What types of incentives work in retail?\nThe company adopts a unified approach...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/que-tipos-de-incentivos-funcionan-en-el-comercio-minorista\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n<div class=\"uc_image_carousel_container_holder uc_carousel_item ue-item\">\n \n <div class=\"uc_image_carousel_placeholder\">\n \n <a href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\" style=\"display:block;\"> \n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/04\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-Canal-Tradicional-768x512.webp\" alt=\"3 keys to understanding consumer buying behavior in the Traditional Channel\" width=\"768\" height=\"512\" title=\"3 keys to understanding consumer buying behavior in the Traditional Channel\"> \n \t\n <div class=\"ue_pos_carousel_image_overlay\"><\/div>\n <\/a> <\/div> \n\n \n <div class=\"uc_image_carousel_content\" >\n <div class=\"uc_image_carousel_content_holder\">\n\n \n\n <a class=\"uc_post_title-link\" href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\"> <div class=\"uc_post_title\">3 keys to understanding consumer buying behavior in the Traditional Channel<\/div>\n <\/a> \n\n <div class=\"ue-meta-data\">\n <div class=\"ue-grid-item-meta-data ue-grid-item-meta-data--date\"><span class=\"ue-grid-item-meta-data-icon\"><i class='fas fa-calendar-week'><\/i><\/span> 14\/03\/2025<\/div> \n \n\t\t \n \n \n \n\n \n\n <\/div>\n <div class=\"uc_paragraph\" >3 keys to understanding consumer buying behavior in the Traditional Channel\nThe company...<\/div>\t\t <\/div>\n \n <div class=\"ue-item-btn-holder\"> \n <a target=\"_blank\" href=\"https:\/\/teamcore.com\/en\/3-claves-para-entender-el-comportamiento-de-compra-del-consumidor-en-el-canal-tradicional\/\" class=\"uc_more_btn ue-dynamic-popup-single\">Read more<\/a>\n <\/div> \n <\/div> \n \n<\/div>\n\n <\/div>\t\n<\/div>\n\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Your field data is ready. When will you use it? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumer Goods Your field data is ready. When will you use it? Point-of-sale execution generates data every day. The problem is that many operations still receive it too late, incomplete, or too disorganized to turn it into decisions. 7-minute read Data & CPG Sales Execution \u00b7 Field Teams \u00b7 Retail The problem isn\u2019t a lack of data\u2014it\u2019s the speed at which it reaches the decision-makers. Only 12% of retailers turn data into preventive actions. The remaining 88% continue to operate with partial visibility: they identify the problem only after the sale has already been lost. Your teams are already generating the information. What\u2019s missing is turning it into action before the point of sale takes the hit. 12% of retailers turn data into preventive actions. 7h+ are lost per chain each week managing, cleaning, and standardizing data. 10x average ROI when the operational bottleneck is eliminated. The Silent Problem That Destroys Results It\u2019s 8:00 AM. Your flagship product sold out yesterday at 15 key retail locations. Your teams are reviewing routes, the competition is restocking their shelves, and consumers are choosing other brands. By the time you find out, it\u2019s already too late. This scenario is no exception\u2014it\u2019s part of everyday life in many mass-market operations. Information about what\u2019s happening on the shelves arrives in fragments, late, and with too much noise to act on. Sales teams spend hours downloading files, cleaning up databases, reconciling formats, and standardizing data before they can perform their first real analysis. The cost isn\u2019t just in the time lost. It\u2019s in the out-of-stocks detected too late, the promotions nobody corrects in time, the displays audited after the campaign has ended, and the shelf space the competition takes over while the team is still trying to sort through the information. \u201cThe difference wasn\u2019t that the problems disappeared. It was that the team spotted them in time to do something about them.\u201d \u2014 Teamcore Success Story \u00b7 Health & Beauty \u00b7 Peru 2025 The bottleneck isn\u2019t in the quality of your teams. It\u2019s in the gap between the data generated in the field and the people who need to act on it. Teamcore Data Extraction exists to bridge that gap. What Is Teamcore Data Extraction? Data Extraction is the operational intelligence layer of the Teamcore platform that transforms everything that happens at the point of sale\u2014visits, execution tasks, photographic evidence, field responses\u2014into structured, downloadable, and actionable data in real time. It\u2019s not just a simple report exporter. It functions as a conversion engine: it takes the scattered field data from thousands of merchandisers and supervisors and transforms it into a standardized, filterable data sheet ready for strategic analysis. Current Module: Standard KPI Downloader\u2014historical sell-out, inventory, and availability metrics. Up to 2 years of data plus the current period in a single parameterized query. Current Module: Execution Downloader Comprehensive data sheet of field responses: task type, user, store, product down to the SKU level, time range, and links to photographic evidence. Current Module: Photo Downloader PDF download with advanced filters. Visual audit of the actual condition of the shelf without relying on manual reports. In Development: Smart Downloader The next evolution: smart KPIs with built-in AI to automatically prioritize alerts with the greatest impact on sales. How It Works: From the Field to Decision-Making The promise is simple: analysts start generating insights from the very first minute, not the seventh hour. 1 Execution via Mobile App Field teams complete facing, display, and promotional tasks through the app. Each response is automatically synchronized upon check-out, including georeferenced photographic evidence. 2 Processing in Datapipe Teamcore\u2019s data engine normalizes, enriches, and structures the information in real time, cross-referencing execution data with sell-out, inventory, and sales targets. 3 Query Configuration From the web platform, the analyst configures the data download: task type, user attributes, store attributes, product down to the SKU level, and exact time range. 4 Download Ready for Analysis The data sheet arrives clean, standardized, and structured. Zero preparation work. The team can move directly from insights to action. The real cost of not having this data on time: An 1% drop in shelf availability can represent millions in lost revenue per year. But the damage isn\u2019t just financial: every day without visibility pushes the team toward reaction rather than prevention. Without automation: 7 hours and 10 minutes per chain each week just on data management, cleaning, and standardization. With Teamcore: 26 minutes per chain each week. The difference isn\u2019t in producing more reports; it\u2019s in freeing up time for decision-making. A 93% reduction in data management time. In an operation with 9 lines, that equates to 3,150 hours freed up per year for analysis, prioritization, and action at the point of sale. The Big Picture When information arrives clean and on time, the conversation changes: the team stops asking \u201cwhat happened\u201d and starts deciding \u201cwhat do we do now?\u201d That difference separates reactive operations from proactive ones. Teamcore\u2019s Overall Impact in Numbers Operational visibility doesn\u2019t just organize information. It also improves the ability to recover sales, maintain availability, and resolve incidents before they escalate. An average of +75% in recovered sales with real-time operational visibility. 6\u20139% improvement in product availability on store shelves. \u221211.5% reduction in incident resolution time at the point of sale. +23% optimization of team time at the point of sale. For a retail operation, these numbers mean less time wasted on repetitive tasks and more capacity to act where sales happen: at the point of sale,<\/p>","protected":false},"author":2,"featured_media":5708,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[8],"tags":[],"class_list":["post-5706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"\n<title>Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore\" \/>\n<meta property=\"og:description\" content=\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumo masivo Tus datos de campo ya est\u00e1n listos.\u00bfCu\u00e1ndo los usar\u00e1s? La ejecuci\u00f3n en punto de venta genera datos todos los d\u00edas. El problema es que muchas operaciones todav\u00eda los reciben tarde, incompletos o demasiado desordenados para convertirlos en decisiones. 7 min de lectura Data & ejecuci\u00f3n comercial CPG \u00b7 Field Teams \u00b7 Retail El problema no es falta de datos Es la velocidad con la que llegan a quien debe decidir. Solo el 12% de los retailers convierte datos en acciones preventivas. El 88% restante sigue operando con visibilidad parcial: encuentra el problema cuando la venta ya se perdi\u00f3. Tus equipos ya est\u00e1n generando la informaci\u00f3n. Lo que falta es convertirla en acci\u00f3n antes de que el punto de venta cobre la factura. 12% de los retailers convierte datos en acciones preventivas. 7h+ se pierden por cadena cada semana gestionando, limpiando y homologando datos. 10x ROI promedio cuando se elimina el cuello de botella operativo. El problema silencioso que destruye resultados Son las 8:00 AM. Tu producto estrella se agot\u00f3 ayer en 15 puntos de venta clave. Tus equipos est\u00e1n revisando rutas, la competencia est\u00e1 reponiendo sus espacios, y los consumidores est\u00e1n eligiendo otras marcas. Para cuando te enteres, ya es demasiado tarde. Esta escena no es una excepci\u00f3n: es parte del d\u00eda a d\u00eda en muchas operaciones de consumo masivo. La informaci\u00f3n sobre lo que ocurre en la g\u00f3ndola llega fragmentada, tarde, y con demasiado ruido para actuar. Los equipos comerciales pasan horas descargando archivos, limpiando bases, cruzando formatos y homologando datos antes de llegar al primer an\u00e1lisis real. El costo no est\u00e1 solo en el tiempo perdido. Est\u00e1 en los agotados que se detectan tarde, en las promociones que nadie corrige a tiempo, en las exhibiciones que se auditan cuando ya termin\u00f3 la campa\u00f1a y en los espacios que la competencia ocupa mientras el equipo todav\u00eda intenta ordenar la informaci\u00f3n. \u201cLa diferencia no fue que los problemas desaparecieran. Fue que el equipo los vio a tiempo para hacer algo al respecto.\u201d \u2014 Caso de \u00e9xito Teamcore \u00b7 Higiene & Belleza \u00b7 Per\u00fa 2025 El cuello de botella no est\u00e1 en la calidad de tus equipos. Est\u00e1 en la distancia entre los datos que se generan en terreno y las personas que necesitan actuar sobre ellos. Teamcore Data Extraction existe para eliminar esa distancia. Qu\u00e9 es Teamcore Data Extraction Data Extraction es la capa de inteligencia operativa de la plataforma Teamcore que transforma todo lo que sucede en el punto de venta \u2014visitas, tareas de ejecuci\u00f3n, evidencias fotogr\u00e1ficas, respuestas de campo\u2014 en datos estructurados, descargables y accionables en tiempo real. No es un simple exportador de reportes. Funciona como un motor de conversi\u00f3n: toma la ejecuci\u00f3n dispersa de miles de mercaderistas y supervisores, y la transforma en una s\u00e1bana de datos homologada, filtrable y lista para el an\u00e1lisis estrat\u00e9gico. M\u00f3dulo actual Descargador Standard de KPIs Sell-out, inventarios y m\u00e9tricas de disponibilidad historizados. Hasta 2 a\u00f1os de datos m\u00e1s el per\u00edodo actual en una sola consulta parametrizada. M\u00f3dulo actual Descargador de Ejecuci\u00f3n S\u00e1bana completa de respuestas de campo: tipo de tarea, usuario, tienda, producto hasta nivel SKU, rango de tiempo y links a evidencias fotogr\u00e1ficas. M\u00f3dulo actual Descargador de Fotograf\u00edas Descarga en PDF con filtros avanzados. Auditor\u00eda visual del estado real de la g\u00f3ndola sin depender de reportes manuales. En desarrollo Descargador Smart La pr\u00f3xima evoluci\u00f3n: KPIs inteligentes con IA incorporada para priorizar autom\u00e1ticamente las alertas con mayor impacto en ventas. C\u00f3mo funciona: del campo a la decisi\u00f3n La promesa es simple: que el analista empiece a generar insights desde el minuto uno, no desde la hora siete. 1 Ejecuci\u00f3n en App Mobile Los equipos de campo completan tareas de facing, exhibici\u00f3n y promoci\u00f3n desde la app. Cada respuesta se sincroniza autom\u00e1ticamente al hacer check-out, incluyendo evidencias fotogr\u00e1ficas georreferenciadas. 2 Procesamiento en Datapipe El motor de datos de Teamcore normaliza, enriquece y estructura la informaci\u00f3n en tiempo real, cruzando datos de ejecuci\u00f3n con sell-out, inventarios y metas comerciales. 3 Parametrizaci\u00f3n de la consulta Desde la plataforma web, el analista configura su descarga: tipo de tarea, atributos de usuario, atributos de tienda, producto hasta nivel SKU y rango temporal exacto. 4 Descarga lista para el an\u00e1lisis La s\u00e1bana de datos llega limpia, homologada y estructurada. Cero trabajo de preparaci\u00f3n. El equipo puede pasar directo de la evidencia a la acci\u00f3n. El costo real de no tener estos datos a tiempo Un 1% menos de disponibilidad en g\u00f3ndola puede representar millones en ingresos perdidos al a\u00f1o. Pero el da\u00f1o no es solo econ\u00f3mico: cada d\u00eda sin visibilidad empuja al equipo hacia la reacci\u00f3n en lugar de la prevenci\u00f3n. Sin automatizaci\u00f3n 7h 10m por cadena cada semana solo en gesti\u00f3n, limpieza y homologaci\u00f3n de datos. Con Teamcore 26m por cadena cada semana. La diferencia no est\u00e1 en hacer m\u00e1s reportes; est\u00e1 en recuperar tiempo para decidir. 93% de reducci\u00f3n en tiempo de gesti\u00f3n de datos. En una operaci\u00f3n con 9 cadenas, eso equivale a 3.150 horas recuperadas al a\u00f1o para an\u00e1lisis, priorizaci\u00f3n y acci\u00f3n en punto de venta. La se\u00f1al de fondo Cuando la informaci\u00f3n llega limpia y a tiempo, cambia la conversaci\u00f3n: el equipo deja de preguntar \u201cqu\u00e9 pas\u00f3\u201d y empieza a decidir \u201cqu\u00e9 hacemos ahora\u201d. Esa diferencia separa a las operaciones que reaccionan de las que previenen. El impacto global de Teamcore en n\u00fameros La visibilidad operativa no solo ordena la informaci\u00f3n. Tambi\u00e9n mejora la capacidad de recuperar venta, sostener disponibilidad y resolver incidencias antes de que escalen. +75% promedio en venta recuperada con visibilidad operativa en tiempo real. 6\u20139% de mejora en disponibilidad de productos en g\u00f3ndola. \u221211.5% en tiempo de resoluci\u00f3n de incidencias en punto de venta. +23% de optimizaci\u00f3n del tiempo del equipo en el punto de venta. Para una operaci\u00f3n comercial, estos n\u00fameros significan menos tiempo perdido en tareas repetitivas y m\u00e1s capacidad para actuar donde se juega la venta: el punto de venta,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/\" \/>\n<meta property=\"og:site_name\" content=\"Teamcore\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-08T20:39:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-11T16:20:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1703\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Contacto\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Contacto\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\"},\"author\":{\"name\":\"Contacto\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/#\\\/schema\\\/person\\\/9a2c803c1b62f1939d4d7b59c3eb7825\"},\"headline\":\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s?\",\"datePublished\":\"2026-06-08T20:39:56+00:00\",\"dateModified\":\"2026-06-11T16:20:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\"},\"wordCount\":1181,\"image\":{\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/teamcore.com\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg\",\"articleSection\":[\"Blog\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\",\"url\":\"https:\\\/\\\/teamcore.com\\\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\\\/\",\"name\":\"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? 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When will you use it? - Teamcore","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/","og_locale":"en_US","og_type":"article","og_title":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? - Teamcore","og_description":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s? \u2014 Teamcore Blog Retail Execution \u00b7 Data Extraction Teamcore Editorial \u00b7 Consumo masivo Tus datos de campo ya est\u00e1n listos.\u00bfCu\u00e1ndo los usar\u00e1s? La ejecuci\u00f3n en punto de venta genera datos todos los d\u00edas. El problema es que muchas operaciones todav\u00eda los reciben tarde, incompletos o demasiado desordenados para convertirlos en decisiones. 7 min de lectura Data & ejecuci\u00f3n comercial CPG \u00b7 Field Teams \u00b7 Retail El problema no es falta de datos Es la velocidad con la que llegan a quien debe decidir. Solo el 12% de los retailers convierte datos en acciones preventivas. El 88% restante sigue operando con visibilidad parcial: encuentra el problema cuando la venta ya se perdi\u00f3. Tus equipos ya est\u00e1n generando la informaci\u00f3n. Lo que falta es convertirla en acci\u00f3n antes de que el punto de venta cobre la factura. 12% de los retailers convierte datos en acciones preventivas. 7h+ se pierden por cadena cada semana gestionando, limpiando y homologando datos. 10x ROI promedio cuando se elimina el cuello de botella operativo. El problema silencioso que destruye resultados Son las 8:00 AM. Tu producto estrella se agot\u00f3 ayer en 15 puntos de venta clave. Tus equipos est\u00e1n revisando rutas, la competencia est\u00e1 reponiendo sus espacios, y los consumidores est\u00e1n eligiendo otras marcas. Para cuando te enteres, ya es demasiado tarde. Esta escena no es una excepci\u00f3n: es parte del d\u00eda a d\u00eda en muchas operaciones de consumo masivo. La informaci\u00f3n sobre lo que ocurre en la g\u00f3ndola llega fragmentada, tarde, y con demasiado ruido para actuar. Los equipos comerciales pasan horas descargando archivos, limpiando bases, cruzando formatos y homologando datos antes de llegar al primer an\u00e1lisis real. El costo no est\u00e1 solo en el tiempo perdido. Est\u00e1 en los agotados que se detectan tarde, en las promociones que nadie corrige a tiempo, en las exhibiciones que se auditan cuando ya termin\u00f3 la campa\u00f1a y en los espacios que la competencia ocupa mientras el equipo todav\u00eda intenta ordenar la informaci\u00f3n. \u201cLa diferencia no fue que los problemas desaparecieran. Fue que el equipo los vio a tiempo para hacer algo al respecto.\u201d \u2014 Caso de \u00e9xito Teamcore \u00b7 Higiene & Belleza \u00b7 Per\u00fa 2025 El cuello de botella no est\u00e1 en la calidad de tus equipos. Est\u00e1 en la distancia entre los datos que se generan en terreno y las personas que necesitan actuar sobre ellos. Teamcore Data Extraction existe para eliminar esa distancia. Qu\u00e9 es Teamcore Data Extraction Data Extraction es la capa de inteligencia operativa de la plataforma Teamcore que transforma todo lo que sucede en el punto de venta \u2014visitas, tareas de ejecuci\u00f3n, evidencias fotogr\u00e1ficas, respuestas de campo\u2014 en datos estructurados, descargables y accionables en tiempo real. No es un simple exportador de reportes. Funciona como un motor de conversi\u00f3n: toma la ejecuci\u00f3n dispersa de miles de mercaderistas y supervisores, y la transforma en una s\u00e1bana de datos homologada, filtrable y lista para el an\u00e1lisis estrat\u00e9gico. M\u00f3dulo actual Descargador Standard de KPIs Sell-out, inventarios y m\u00e9tricas de disponibilidad historizados. Hasta 2 a\u00f1os de datos m\u00e1s el per\u00edodo actual en una sola consulta parametrizada. M\u00f3dulo actual Descargador de Ejecuci\u00f3n S\u00e1bana completa de respuestas de campo: tipo de tarea, usuario, tienda, producto hasta nivel SKU, rango de tiempo y links a evidencias fotogr\u00e1ficas. M\u00f3dulo actual Descargador de Fotograf\u00edas Descarga en PDF con filtros avanzados. Auditor\u00eda visual del estado real de la g\u00f3ndola sin depender de reportes manuales. En desarrollo Descargador Smart La pr\u00f3xima evoluci\u00f3n: KPIs inteligentes con IA incorporada para priorizar autom\u00e1ticamente las alertas con mayor impacto en ventas. C\u00f3mo funciona: del campo a la decisi\u00f3n La promesa es simple: que el analista empiece a generar insights desde el minuto uno, no desde la hora siete. 1 Ejecuci\u00f3n en App Mobile Los equipos de campo completan tareas de facing, exhibici\u00f3n y promoci\u00f3n desde la app. Cada respuesta se sincroniza autom\u00e1ticamente al hacer check-out, incluyendo evidencias fotogr\u00e1ficas georreferenciadas. 2 Procesamiento en Datapipe El motor de datos de Teamcore normaliza, enriquece y estructura la informaci\u00f3n en tiempo real, cruzando datos de ejecuci\u00f3n con sell-out, inventarios y metas comerciales. 3 Parametrizaci\u00f3n de la consulta Desde la plataforma web, el analista configura su descarga: tipo de tarea, atributos de usuario, atributos de tienda, producto hasta nivel SKU y rango temporal exacto. 4 Descarga lista para el an\u00e1lisis La s\u00e1bana de datos llega limpia, homologada y estructurada. Cero trabajo de preparaci\u00f3n. El equipo puede pasar directo de la evidencia a la acci\u00f3n. El costo real de no tener estos datos a tiempo Un 1% menos de disponibilidad en g\u00f3ndola puede representar millones en ingresos perdidos al a\u00f1o. Pero el da\u00f1o no es solo econ\u00f3mico: cada d\u00eda sin visibilidad empuja al equipo hacia la reacci\u00f3n en lugar de la prevenci\u00f3n. Sin automatizaci\u00f3n 7h 10m por cadena cada semana solo en gesti\u00f3n, limpieza y homologaci\u00f3n de datos. Con Teamcore 26m por cadena cada semana. La diferencia no est\u00e1 en hacer m\u00e1s reportes; est\u00e1 en recuperar tiempo para decidir. 93% de reducci\u00f3n en tiempo de gesti\u00f3n de datos. En una operaci\u00f3n con 9 cadenas, eso equivale a 3.150 horas recuperadas al a\u00f1o para an\u00e1lisis, priorizaci\u00f3n y acci\u00f3n en punto de venta. La se\u00f1al de fondo Cuando la informaci\u00f3n llega limpia y a tiempo, cambia la conversaci\u00f3n: el equipo deja de preguntar \u201cqu\u00e9 pas\u00f3\u201d y empieza a decidir \u201cqu\u00e9 hacemos ahora\u201d. Esa diferencia separa a las operaciones que reaccionan de las que previenen. El impacto global de Teamcore en n\u00fameros La visibilidad operativa no solo ordena la informaci\u00f3n. Tambi\u00e9n mejora la capacidad de recuperar venta, sostener disponibilidad y resolver incidencias antes de que escalen. +75% promedio en venta recuperada con visibilidad operativa en tiempo real. 6\u20139% de mejora en disponibilidad de productos en g\u00f3ndola. \u221211.5% en tiempo de resoluci\u00f3n de incidencias en punto de venta. +23% de optimizaci\u00f3n del tiempo del equipo en el punto de venta. Para una operaci\u00f3n comercial, estos n\u00fameros significan menos tiempo perdido en tareas repetitivas y m\u00e1s capacidad para actuar donde se juega la venta: el punto de venta,","og_url":"https:\/\/teamcore.com\/en\/your-field-data-is-already-ready-when-will-you-use-it\/","og_site_name":"Teamcore","article_published_time":"2026-06-08T20:39:56+00:00","article_modified_time":"2026-06-11T16:20:03+00:00","og_image":[{"width":2560,"height":1703,"url":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","type":"image\/jpeg"}],"author":"Contacto","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Contacto","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#article","isPartOf":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/"},"author":{"name":"Contacto","@id":"https:\/\/teamcore.com\/#\/schema\/person\/9a2c803c1b62f1939d4d7b59c3eb7825"},"headline":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s?","datePublished":"2026-06-08T20:39:56+00:00","dateModified":"2026-06-11T16:20:03+00:00","mainEntityOfPage":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/"},"wordCount":1181,"image":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#primaryimage"},"thumbnailUrl":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","articleSection":["Blog"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/","url":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/","name":"Your field data is already ready. When will you use it? - Teamcore","isPartOf":{"@id":"https:\/\/teamcore.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#primaryimage"},"image":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#primaryimage"},"thumbnailUrl":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","datePublished":"2026-06-08T20:39:56+00:00","dateModified":"2026-06-11T16:20:03+00:00","author":{"@id":"https:\/\/teamcore.com\/#\/schema\/person\/9a2c803c1b62f1939d4d7b59c3eb7825"},"breadcrumb":{"@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#primaryimage","url":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","contentUrl":"https:\/\/teamcore.com\/wp-content\/uploads\/2026\/06\/customer-opening-refrigerator-door-in-supermarket-2026-03-26-10-36-51-utc-scaled.jpg","width":2560,"height":1703,"caption":"Arab man selecting groceries while opening the refrigerator door in a supermarket, engaging in a typical shopping experience"},{"@type":"BreadcrumbList","@id":"https:\/\/teamcore.com\/tus-datos-de-campo-ya-estan-listos-cuando-los-usaras\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/teamcore.com\/"},{"@type":"ListItem","position":2,"name":"Tus datos de campo ya est\u00e1n listos. \u00bfCu\u00e1ndo los usar\u00e1s?"}]},{"@type":"WebSite","@id":"https:\/\/teamcore.com\/#website","url":"https:\/\/teamcore.com\/","name":"Teamcore","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/teamcore.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/teamcore.com\/#\/schema\/person\/9a2c803c1b62f1939d4d7b59c3eb7825","name":"Contact","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/0b6a73fc026654a9e444768fd6f94a617a194e8297770a26c43ed3997de5d36b?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/0b6a73fc026654a9e444768fd6f94a617a194e8297770a26c43ed3997de5d36b?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/0b6a73fc026654a9e444768fd6f94a617a194e8297770a26c43ed3997de5d36b?s=96&d=mm&r=g","caption":"Contacto"},"url":"https:\/\/teamcore.com\/en\/author\/contacto\/"}]}},"_links":{"self":[{"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/posts\/5706","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/comments?post=5706"}],"version-history":[{"count":20,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/posts\/5706\/revisions"}],"predecessor-version":[{"id":5776,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/posts\/5706\/revisions\/5776"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/media\/5708"}],"wp:attachment":[{"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/media?parent=5706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/categories?post=5706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teamcore.com\/en\/wp-json\/wp\/v2\/tags?post=5706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}