Demand Intelligence
What will customers buy, once availability is accounted for?
Shows recorded net cases against an availability-adjusted estimate, so demand lost to stock-outs is not mistaken for low demand. Promotions are removed to fit the baseline and re-applied for the forecast.
- Recorded versus availability-adjusted demand
- Baseline and promotion-aware outlook
- Forecast method and error by SKU
- Scenario uplift and promotion-window shifts
- Duration: 4–6 weeks for an outcome-based POC
How the AI works. Forecasting models predict demand for every item and location over twelve weeks and are tested against weeks that were held back before anyone relies on them, with the error (WAPE), bias and forecast range shown openly. Planners see where the AI forecast is strong and where it is not, and the what-if carries the forecast straight into a stocking decision.
The outlook compares baseline plus planned promotions with the current scenario, with an error envelope from the last eight weeks, across 96 SKU, facility and channel pools.