FMCG Group Recovers $18M in Margin with AI Pricing & Trade Promotion
Building an AI-driven pricing and trade promotion optimization platform that maximizes revenue and margin across hundreds of SKUs and trade customers.
Project Overview
The Challenge
Trade promotion spend was tracked but rarely optimized, with significant variance in ROI across customers, SKUs, and event types.
- 1Promotional ROI tracking lagging events by 6–8 weeks
- 2Pricing decisions made on intuition rather than elasticity data
- 3No what-if analysis tooling for KAMs
Our Solution
CloudGate built a pricing and trade promotion optimization platform combining elasticity models with KAM-facing what-if tools.
- Price elasticity models by SKU-channel-customer
- Promotion ROI prediction and post-event analysis
- KAM copilot for joint business planning
The Results
- Embedded elasticity-driven pricing into the annual planning process
Technologies Used
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