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Open access Aug 2026

Probabilistic and Point Reconciliation in Deep Learning-Based Hierarchical Forecasting for Retail

Hierarchical retail forecasting requires predictions that are both accurate and coherent across multiple planning levels, from total demand to individual product–store series. Because these forecasts guide inventory, replenishment, storage, and distribution decisions, improving their coherence and reliability can suppo...

J. Gomes, J. Oliveira, Patrícia Ramos · 0 citations

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