A Challenge Based Approach to Inventory Planning and Inventory Optimization

The MIT Center for Transportation & Logistics (MIT CTL) and Amazon engaged with a global community of researchers across a range of disciplines, from computer science to business operations, to supply chain management, challenging them to build data-driven route optimization models leveraging massive historical route execution data and machine learning models.

While we congratulated the winning teams and all participants in the news, Dr. Matthias Winkenbach joins today's Frontiers to share some insights and outcomes that the production of a research challenge brought about.

He speaks about how convening researchers from across all levels of academia and supplying rich data and a compelling problem, may drive more new research in areas of inquiry that are sparsely published on.

Learn more about the Challenge: https://routingchallenge.mit.edu/

Learn more about the Megacity Logistics Lab: https://megacitylab.mit.edu/