With the advances in artificial intelligence (AI) over the past decade, the global supply chain landscape has undergone a radical evolution. This study examines the transformative role of AI and operation research (OR) in supply chain management through the classic Triple-A framework. By analyzing three real-world implementations at JD.com, China’s largest online retailer, we illustrate how AI-driven models enhance supply chain capabilities beyond traditional approaches: (1) interpretable time-series forecasting using hybrid AI-OR models to balance accuracy and transparency; (2) logistics optimization for inventory allocation and fulfillment efficiency; and (3) a customer-to-manufacturer (C2M) system leveraging natural language processing to align product development with consumer demand. This work further concludes the prerequisites for successful AI implications in the industry, including cross-functional teams, adaptive management systems, enriched data ecosystems, and scenario-rich operational environments. By bridging AI and OR, organizations can escalate intelligent supply chain capabilities to even higher levels.