Forecasting That Learns
Classical demand planning leaned on moving averages and a planner’s intuition. Modern AI models ingest weather, promotions, web traffic, and macro signals to predict demand at the SKU-and-store level — and they keep learning as reality unfolds.
The payoff is tangible: fewer stockouts, leaner safety stock, and working capital freed from inventory that was only ever a hedge against uncertainty.
Trust Is the Hard Part
Accuracy alone doesn’t drive adoption. The forecasts that get used explain themselves — surfacing the drivers behind a number so planners can challenge, adjust, and ultimately trust the machine.