Class-Conditional Allocation of Forecasting Models for Retail Inventory Replenishment: Evidence from an ABC-Segmented Hardware Portfolio
Background: Retail inventories are heterogeneous, yet demand forecasting studies typically select one model for an entire portfolio, leaving open how forecasting effort should be allocated across inventory segments. Methods: Six models—ARIMA, SARIMA, ARIMAX, Random Forest, LightGBM and an LSTM network—were estimated on...