Tepper School Professor Sridhar Tayur and Tinglong Dai, a Tepper School graduate and Johns Hopkins Carey Business School professor, join Emily DeJeu to discuss how AI can help improve supply chains, but also why it can't solve every problem.
Sridhar Tayur and Tinglong Dai discuss how artificial intelligence is impacting or will impact global supply chain management. While AI is not a comprehensive solution, it does offer some advantages in time-consuming or repetitive tasks.
AI in Supply Chains: Perspectives from Global Thought Leaders is available from Springer.
Further reading: “I Helped Run Lululemon. Companies Need to Stop Kidding Themselves About A.I.” in The New York Times.
Forecasts can improve decisions about inventory, capacity, advertising, and pricing. But when prediction quality is uncertain, the harder problem is knowing when to trust the forecast and when to fall back on a more robust plan.
Tepper School doctoral student Nilsu Uzunlar's research shows that sustainability policy designs, such as emissions disclosure metrics and circular economy mandates, shape corporate environmental behavior and supply chain investment strategies.
Traditional personalization tries to predict what you like based on your past, but the future of AI belongs to systems that actually understand context and convert those predictions into instant, real-time decisions.