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.
Trade Intelligence Drives 4%–7% Sales Uplift
Overview
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%)