Addressing Demand Forecasting Challenges in the U.S. Retail Supply Chains: An AI-Driven Machine Learning Evaluation of Historical, Operational, and Macroeconomic Information
| ABSTRACT U.S. retail supply chains face persistent demand-forecasting challenges because product demand varies across items, stores, and time, complicating inventory and replenishment planning. Improving forecast accuracy while determining which available data sources provide meaningful predictive value is therefore...