AI Demand Forecasting: What the “20 to 50% Better” Claims Leave Out
Vendors claim AI demand forecasting cuts error 20 to 50%. The honest number is 10 to 20%. Here is how to read any vendor accuracy claim.
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MAPE vs WMAPE vs WAPE: When Each Forecast Metric Lies to You
MAPE and WAPE can tell opposite stories about the same portfolio. The worked example, the two lag-and-predictability cuts that make forecast KPIs actionable, and why bias needs tracking alongside either one.
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Measuring Forecast Accuracy: How Clean Is Your Crystal Ball?
Forecast accuracy is one number with four common formulas behind it. Here is how MAD, MAPE, WAPE and RMSE differ, when each one stops telling the truth, and how to pick the one your decision actually survives.
