Recovering $42M: How Intelligence-Driven Forecasting Fixed Retail Demand

When a 600-store chain faced 18% stockouts and 22% overstocks, traditional forecasting failed them, and it was costing tens of millions.

This episode follows how a three-layer intelligence system, real-time signals, AI forecasting, and simulation, raised forecast accuracy from 63% to 92%, cut stockouts to 4%, and recovered $42 million in revenue by embedding data-driven decisions into operations.

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