Trade Intelligence Drives 4%–7% Sales Uplift

Overview

Our client is one of the world's largest global food companies, relying on data-driven trade promotion strategies to maximize sales performance across key retail partners.

Business Complexity

The client was spending heavily on trade promotions but relying on a traditional parametric model. This limited its ability to deliver the right promotion at the right time, leaving revenue on the table, and made it difficult for non-technical teams to generate their own reports.

Action

  • Built an AI-powered Trade Promotion Intelligence platform with machine learning and optimization.
  • Enabled smarter promotion planning and scenario modeling.
  • Supported data-driven decision-making to maximize sales performance across promotional calendars.
  • Enabled the client to generate detailed, goal-based recommendations for retail partners in minutes, with a fuller, more accurate picture for faster decisions.

Tech Stack

  • Machine Learning
  • Machine Learning Offer Recommendation
  • Machine Learning Segmentation Algorithm
  • Heuristics Vault
  • Java
  • Angular
  • HTML
  • Microsoft Power BI
  • AI

Impact

  • 4-7% Sales Uplift at the Client's Largest US Retailer
  • 7% Sales Uplift at the Second-Largest US Retailer
  • <5% Modeling Error (down from ~20%)