AI-Driven Innovations in Supply Chain: Predictive Analytics, Reinforcement Learning, and Simulation
Jun 11, 2025 at 11:00AM - Jun 11, 2025 at 12:00PMOnline
In this virtual briefing, Dr. Elenna Dugundji will share her research on AI applications that are transforming supply chain decision-making. Her work harnesses predictive analytics, reinforcement learning, and simulation modeling to tackle complex challenges such as system bottlenecks, real-time scheduling, and resource allocation. As a case study, Dr. Dugundji will highlight her work in maritime logistics—including vessel congestion prediction, ship scheduling, and container yard optimization— to demonstrate how AI can address data-intensive, real-world operational problems. MIT CTL is soon to launch Dr. Dugundji’s Deep Knowledge Lab for Supply Chain and Logistics, a new research initiative which aims to convert fragmented operational data into strategic intelligence and generate actionable, AI-enabled solutions for smarter procurement and more resilient, sustainable supply chains. Join us for exclusive insights ahead of the lab’s public launch.