It won on the steady sellers and lost on the rest
On one Walmart store, a machine-learning forecast was 3.9 percent worse than a 28-day moving average on absolute error, and the worse forecast for 58 percent of the 823 items. Split by demand class, the result is two opposite ones: it wins on the steady sellers and loses by about 10 percent on the…
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- 2026-11-08 06:33 · DEV Community — Machine Learning
It won on the steady sellers and lost on the rest