Demand Forecasting uses AI to estimate future customer demand, enabling inventory and supply chain decisions to be made ahead of demand shifts, by learning from historical sales, market trends, and seasonality patterns, across supply chain planning systems.
Inaccurate demand forecasts cause stock-outs, excess inventory, and supply disruptions.
The AI analyses historical demand patterns alongside market and seasonal variables to generate a demand forecast by SKU and time period, which is consumed by inventory and supply chain planning processes.
Reduction in forecast error and lower inventory holding cost.
No intrinsic risk triggered.
No controls triggered.
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