planning
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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