Demand Forecasting in Discrete Manufacturing Using Artificial Intelligence
📰 Hackernoon
Statistical forecasts fail in discrete manufacturing processes when demand is sporadic, BOMs are complex, and lead times are stringent. The article presents an ML pipeline for production from ERP extraction to AI monitoring, yielding optimizations in inventory costs.
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Statistical forecasts fail in discrete manufacturing processes when demand is sporadic, BOMs are complex, and lead times are stringent. The article presents an ML pipeline for production from ERP extraction to AI monitoring, yielding optimizations in inventory costs.
DeepCamp AI