Demand Agent

Forecasting in consumer goods usually breaks at the seams between systems: sell-in lives in the ERP, sell-out lives in distributor and retail feeds, field reality lives in visit notes and shelf scans, and by the time someone reconciles them the demand picture is already stale. The Demand Agent removes that lag. Because it runs on the ConnectX data layer — the one data model every FMCG Cloud agent shares — it reads orders, shipments, returns, promotions, pricing changes, new-listing activity, out-of-stock signals and seasonality from a single, reconciled source rather than stitching exports together by hand.

In the field, the Demand Agent works at the grain that actually drives your business: SKU by outlet, by channel, by region. It detects demand signals as they emerge — a promotion lifting volume in one cluster of stores, a competitor void opening shelf space, a price move changing velocity, a chronic out-of-stock suppressing true demand — and updates the forecast for the affected items automatically. It flags the difference between real softening and a stockout masking demand, separates baseline from promotional uplift, and surfaces the exceptions that need a human decision instead of asking a planner to re-run the whole model.

Those refreshed forecasts don't sit in a report — they feed the rest of the route to market on the same data model. The Demand Agent's numbers become the demand baseline that suggested-order, replenishment, production-planning and route agents build on, so a signal sensed at the shelf can move through ordering and supply without anyone re-keying it. As a Data-family agent, its job is to keep the demand truth current and trustworthy for every commercial and operations workflow downstream, and like every solution in the marketplace it must earn FMCG Verified certification before it can carry the Demand Agent name.