The MIT Center for Transportation & Logistics (MIT CTL) and Mecalux have launched the executive course Machine Learning & AI-Based Augmentation of Supply Chain Decision-Making. Developed for Mecalux customers and partners, the two-day program provides senior supply chain leaders with practical insights into applying artificial intelligence to warehousing and supply chain decision-making. The inaugural edition will take place on October 1–2, 2026, at the MIT campus in Cambridge, Massachusetts, as the first in an ongoing series.
Created jointly by Mecalux and researchers from the MIT Intelligent Logistics Systems Lab, the course focuses on one of the industry’s most pressing challenges: helping organizations move beyond the AI hype cycle and identify high-value applications that deliver business results.
“Artificial intelligence is rapidly becoming a strategic capability for supply chain organizations, but success depends on understanding where it creates genuine value,” said Winkenbach. “Our goal is to provide executives with decision-making tools that help them evaluate opportunities critically and turn promising ideas into well-defined implementation projects.”
The first edition will bring together a select group of senior executives from businesses across retail, manufacturing, consumer goods, industrial equipment, packaging, healthcare, logistics, and distribution. Participants represent companies operating across North America, Europe, and Latin America, reflecting the program’s international reach.