This chapter explores how artificial intelligence (AI), particularly machine learning (ML), can be powerfully integrated with supply chain management (SCM) to improve prediction, modeling, and decision-making. Specifically, the chapter proposes a coupled framework: AI brings adaptability and data-driven insights, while SCM contributes domain-specific structure and interpretability. The authors present practical examples from inventory management, logistics, and AI system operations, showing how ML can enhance forecasts, inform new operational models, and optimize decisions. At the same time, they caution against relying solely on generic AI tools without grounding in SCM logic, highlighting how operations knowledge can guide model design and improve outcomes. The proposed coupling approach holds promise for building resilient, intelligent supply chains that adapt to real-world complexities and uncertainty.