Forecast accuracy is an important metric in demand planning and while error metrics like Mean Absolute Percent Error (MAPE) have value, they are not enough. In this article I discuss how the same MAPE can tell very different stories about demand and have very different implications for the performance of a business depending on the industry and product type. I make the case that forecasts should be measured on bias and stability, and aim to meet the needs of the business rather than treating accuracy ...

From Issue: Why Forecast Accuracy Often Misleads Planning Teams
(Summer 2026)

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Beyond Forecast Accuracy: Why Forecasting Needs an Enterprise Level System, Not Just Better Metrics