Demand Signal Model Improved Inventory Planning Decisions

Business challenge

The team needed a better way to see when demand was changing before stockouts or overbuying became obvious.

Implementation

We combined sales, marketing, and product-level signals into a forecasting workflow that flagged demand shifts and gave operators a cleaner planning view.

Reported outcomes

This engagement brings sales, marketing and product signals into the same planning workflow. SKU-level visibility and a weekly refresh make the forecast relevant to inventory decisions. Forecast error describes prediction accuracy; the business value comes from using those signals when planning stock, rather than treating the forecast as a guarantee of future demand.