Spare-parts forecasting is a planning stress test for AI trust

Spare-parts forecasting is a hard test for AI-enabled planning because low-volume, intermittent demand makes forecast confidence as important as point accuracy. The useful question is not whether AI beats gut feel in aggregate, but whether it helps planners decide which parts deserve inventory, which demand signals are meaningful and when human service judgment should override the model.