When each supply-chain stage forecasts demand from the orders received from its immediate downstream customer rather than from actual end-consumer demand, small variations become progressively amplified as the signal moves upstream. The result is a magnification of demand fluctuations from retailer toward manufacturer and supplier .
Orders are not identical to consumption. They contain the effects of safety-stock adjustments, order batching, promotions, lead-time responses, allocation behavior, and previous forecast revisions. When an upstream organization interprets these orders as genuine market demand and creates a new forecast, it incorporates the downstream distortion. Its subsequent replenishment order adds another layer of adjustment.
The process repeats at every stage, producing the classic bullwhip effect. Upstream organizations therefore encounter greater demand variability than retailers observe at the point of consumer purchase.
The corrective strategy is improved demand visibility. Sharing POS data, common forecasts, inventory information, and collaborative planning results allows participants to distinguish genuine market movement from replenishment artifacts.
Information-processing obstacles are explicitly associated with forecasting based on orders rather than actual customer demand.
Reference Topic: Inventory, Forecasting and Demand Planning — Forecast Updating, Information Distortion, and Bullwhip Effect.
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