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Forecast Accuracy

How close forecasts were to actual demand.

Definition

How close forecasts were to actual demand.

Why it matters

Forecast accuracy sets the floor on inventory efficiency and service performance.

Formula

100% - MAPE, where MAPE = mean(|Actual - Forecast| / Actual)

Example

Average absolute error of 18% gives 82% forecast accuracy.

How to interpret it

Always read accuracy with bias; accurate but biased forecasts create systematic excess or shortage.

How to improve it

Segment by volume and volatility, use the right forecast horizon, and add downstream demand signals.

Common mistakes

Aggregating to a level where errors cancel and accuracy looks better than it is.

Related KPIs

Related SupplyChain.tools

Run the numbers on SupplyChain.tools - this page covers the management decision.

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