We use advanced predictive analytics models to transform data into actionable insights.

Turn data analysis into more precise decisions, timely actions, and measurable results.

Advanced analytics oriented toward decisions

We apply predictive models that identify patterns and transform large volumes of data into more precise and strategic business decisions.

Actionable insights, not just visualization

We turn data into clear and prioritized recommendations, facilitating the execution of concrete actions by commercial teams.

Comprehensive vision
of the business

We integrate data from customers, products, and the market to understand performance, detect opportunities, and anticipate relevant changes.

Turn data into a real competitive advantage

Analytics transforms data into strategic knowledge, combining historical and current information to anticipate scenarios and make decisions with greater certainty.

How it works

Definition of
objectives

The main business challenges and the decisions to be optimized are identified.

Data review and preparation

The information sources are consolidated and validated to ensure quality, consistency, and reliability in the analysis.

Analytical model
design

Statistical and predictive models are developed tailored to the business reality.

Analysis and interpretation of results

The outputs of the models are translated into clear insights, identifying relevant opportunities and risks.

Generation of
actions

Specific and prioritized recommendations are built that can be executed by the teams.

Continuous monitoring and optimization

The impact of the implemented actions is measured, and the models are adjusted to continuously improve the results.

Unlock a new era of advanced analytics with AI

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Inventory and Lost Sales Alert

Anticipate stockouts and overstock to recover sales.

Identify lost sales opportunities and generate the next best action: how much to order, from which distributor, and with what urgency. Visualize these opportunities on a dashboard and receive inventory alerts to act in time.

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Strengthening Opportunities

Convert transactional data into sales opportunities

Identify customers with a higher propensity to purchase and generate recommendations with suggested amounts to focus the sales force where there is greater sales potential, through the Opportunity Strengthening Model.

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Intelligent forecasting in the traditional channel

Anticipate demand and better plan your sales.

Generate monthly forecasts by distributor for a specific period, using a Multivariate Forecasting Model that allows you to anticipate sales behavior and make better commercial and inventory decisions.

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Intelligent Promotion Measurement

Measure the real impact of your promotions and optimize future campaigns.

Analyze the behavior of each promotion, rate its performance, and identify the variables that influence its results to adjust and improve future promotional strategies.

Stop looking at isolated data and start understanding where you are losing sales in the traditional channel.

Let's analyze your case.

Traditional channel analytics to improve decision-making in mass consumption

Traditional Channel Analytics has become a strategic tool for mass consumption companies that need a deeper understanding of their sales behavior in highly fragmented markets. When information comes from multiple sources and operational levels, the true competitive advantage lies in transforming that data into clear, actionable information aimed at better decisions.

At Teamcore, we help organizations evolve the way they analyze their business by integrating scattered information into a structured view that facilitates the identification of real opportunities within the traditional channel. In this way, teams can prioritize actions with greater precision, optimize their execution, and generate a more consistent commercial impact.

Deep understanding of sales behavior in the traditional channel

The traditional channel represents a critical part of mass consumption, but also one of the most complex environments to interpret. Variability in points of sale, distributors, and regions makes isolated analysis lose relevance if it is not connected to the business context.

The traditional channel analytics allows you to understand behavioral patterns that help improve market reading.

This makes it possible to:

Identify variations in sales behavior by region

Detect changes in demand for specific products

Understand more precise distribution dynamics

Evaluate the actual performance of the traditional channel

Business decisions based on evidence, not assumptions

In many organizations, decisions about the traditional channel still depend on partial reports or incomplete information. This creates gaps between strategy and market reality.

With a more robust analytical approach, companies can base their decisions on consistent evidence rather than isolated perceptions.

Key benefits:

Greater precision in commercial planning

Reduction of decisions based on incomplete information

Higher resource allocation in the channel

Greater control over strategic execution

Identification of hidden opportunities in the traditional channel

One of the main challenges of the traditional channel is the lack of visibility into opportunities that are not always obvious at first glance.

Advanced analysis makes it possible to detect signals that help discover growth spaces within the market.

This translates to:

Identification of growth opportunities by zone

Detection of underperforming categories

Improvement in the prioritization of commercial actions

Greater focus on markets with real potential

Better understanding of performance by product and category

Sales behavior should not only be analyzed at a general level, but also by product, category, and region. This allows for a clearer view of the real impact of each commercial decision.

The traditional channel analysis helps to better structure this information to facilitate its interpretation and use in the strategy.

Support for more strategic decision models

Organizations that successfully consolidate traditional channel analysis can build more robust decision-making models focused on sustainable growth rather than just immediate results. This enables smarter long-term business management.

Traditional channel analytics as the basis for commercial evolution

The true value of analysis lies not solely in the data, but in the ability to transform them into clear, timely, and actionable decisions that improve operations, optimize resources, and strengthen commercial strategy in increasingly complex markets.

Teamcore: transforming traditional channel analytics in Latin America

At Teamcore, we help consumer-packaged-goods companies better understand their traditional channel by integrating data, sales behavior, and commercial strategy into a more comprehensive analytical view. We transform scattered information into a clear business perspective to identify opportunities and make better decisions.

Convert your operational data into actionable insights that drive commercial decision-making, enabling smarter management, more precise execution, and greater impact in dynamic and competitive markets.