Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)
Logistics Viewpoints
NOVEMBER 4, 2024
Demand planning engines have natural feedback loops that allow the forecast engine to learn. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting. Without accurate data, companies face the garbage in, garbage out problem.
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