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Insights & Intelligence
Predictive Supply Chain — Demand Sensing That Cuts Stockouts
A CPG brand reduced stockouts with ML demand sensing that blends POS, weather, and promotions into weekly forecasts.
Executive Summary
Manual forecasts missed promotional spikes. We delivered an ML demand-sensing pipeline connected to planning workflows.
Challenge
Volatile demand, sparse store-level history, and slow planner feedback loops.
Solution
Feature store, ensemble models, planner UX, and continuous retraining.
Outcomes
Fewer stockouts, lower excess inventory, and planner trust in model recommendations.
- Fewer stockouts
- Lower excess inventory
- Planner-trusted forecasts