Demand Intelligence
How much of each operating material will be consumed?
Forecasts consumption of owned operating materials, such as pallets, seals, labels, packaging and PPE, across four sites and 32 item-site positions. The model is trained on operating history and shows held-out predictions, a future forecast and hypothetical demand shocks as separate series.
- Consumption forecast by material and site
- Held-out accuracy shown separately
- Eight-week uncertainty band
- Hypothetical demand shocks
- 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.
An eight-week uncertainty band uses held-out error, and performance is shown by material.