A new platform draws on the principles of genetics to supercharge inventory decisions across warehouse networks.

Researchers in the Intelligent Logistics Systems Lab at MIT’s Center for Transportation & Logistics have joined with warehouse technology company Mecalux to develop a “genetic” algorithm that allows users to review thousands of inventory scenarios at a time, in a matter of minutes. Dubbed GENESIS, for Genetic Evaluation & Simulation for Inventory Strategy, the platform generates optimal solutions along with statistical dashboards that enable analysis of consumption patterns, demand variability, stockout risk and other supply issues that impact inventory decisions. On this episode, we discuss the new tool with Matthias Winkenbach, director of research at MIT CTL. He explains how it employs machine learning to come up with the most efficient logistics strategy for minimizing cost while meeting service-level criteria. And we discuss how it’s likely to develop further with the growing sophistication of artificial intelligence. Hosted by Bob Bowman, Editor-in-Chief of SupplyChainBrain.

Show notes:

A press release about GENESIS.