Principal Investigator Angela Acocella
Project Website https://ctl.mit.edu/research/current-projects/deep-knowledge-supply-chain-and-l…
Project Start Date July 2024
Project End Date June 2030
Data is only as powerful as the insights it reveals. The MIT Deep Knowledge Lab for Supply Chain and Logistics combines AI, machine learning, and optimization to unlock value across procurement, logistics, and energy systems. Freight boat carrying shipping containers surrounded by digital graphics
By partnering with industry and government, we build solutions that reduce costs, lower emissions, and improve operational resilience - turning research into real-world results: (*) Collaborative ecosystems advancing procurement from transaction to strategic advantage (*) AI-enabled port logistics models enhancing throughput and reducing delays (*) Regional planning for EV infrastructure to meet future mobility needs sustainably (*) Data-driven roadmaps guiding the shift to renewable freight fuels by 2030
The MIT Deep Knowledge Lab for Supply Chain and Logistics Projects are:
Elucidating Import Container Flows Through U.S. Ports In collaboration with the U.S. Department of Transportation, we are using machine learning and predictive modeling to map how containerized imports move through major U.S. ports - providing insight into dwell times, handling, and multimodal transfers to build smarter, more resilient port logistics.
AI to Improve Material Margin By combining internal bill of materials (BOM) data with real-time market signals, our generative AI solution empowers pricing and procurement teams with dynamic margin insights for smarter, faster decisions.
Optimizing EV Charging Networks with AI In partnership with MIT Energy Initiative, we use AI and traffic data to design regional EV charging networks that reduce congestion and scale sustainably.
Renewable Freight Fuel in the U.S. and Canada We model weekly truck and rail capacity by energy type through 2030—helping a major CPG company plan low-emissions logistics with region-specific cost and performance forecasts.
SIG Procurement Technology and AI Through a unique MIT-led consortium, companies collaborate on applied research and peer learning to build future-ready procurement strategies in risk, compliance, and sustainability.