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Top AI Forecasting Techniques in Retail by syed abdul is a document available to read on EtoBox.

In the past five years, retail forecasting has effectively utilized AI techniques such as Long Short-Term Memory (LSTM) for customer demand, Extreme Gradient Boosting (XGBoost) for sales prediction, and hybrid models for inventory management. Studies report significant reductions in forecasting errors, with LSTM achieving up to 84% reduction in Mean Absolute Error and XGBoost demonstrating low Mean Absolute Error of 0.516. Overall, deep learning and hybrid methods have been particularly successful in addres

Author

syed abdul

Language

EN