Gnn

Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

in supply-chain planning has traditionally been treated as a time-series problem. Each SKU is modeled independently. A rolling time window (say, last 14 days) is used to predict tomorrow’s sales. Seasonality is captured, promotions are added,...

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