Alex Carroll enhances global supply chain performance by leveraging AI, optimization, and advanced analytics to optimize procurement, logistics, and energy systems. At MIT’s Center for Transportation & Logistics, he develops and deploys machine learning and operations research solutions that connect forecasting with decision models to drive efficiency, resilience, and sustainability.
AI model development – practical applications of machine learning in demand forecasting, procurement analytics, and last-mile operations
Optimization techniques – formulation and solution of decision problems using advanced operations research (OR) methods and hybrid modeling approaches
Data-driven pricing – design of dynamic and contractual pricing frameworks that integrate market forecasting with optimization for cost efficiency and service performance
Digital technologies – exploration of Generative AI, IoT, and emerging tools for improving sustainability, execution quality, and supply chain visibility
His background includes roles at Amazon, Flock Freight, Zillow, and Arrive Logistics, with leadership experience in last-mile operations through Amazon’s Pathways Program in Tokyo. He holds a Master of Applied Science in Supply Chain Management from MIT and is currently pursuing a PhD at MIT CTL.
