Analytics (with PAI 5.0.0.1) > Glossary > -F- > Forecast Accuracy
Forecast Accuracy
The accuracy of a forecast that is determined using the percentage difference between demand and forecast over a period. Calculated as 100 – Forecast Error % where:
Forecast Error = (MAD / Average Demand) *100%
The range is [0, 100%]
A value closer to 100% indicates an accurate forecast
* 
Each demand or forecast record is formed by aggregating data of x forward-looking periods:
For PAI Foundation dashboards, the forecast metrics are calculated using x = 1 slice
For PAI Advanced dashboards, the forecast metrics are calculated using x= Lead Time, x = 3, or x = 6 slices
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