The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator capable of optimising inventory distribution across different warehouses within the same logistics network.
The platform, called Genetic Evaluation & Simulation for Inventory Strategy (Genesis), uses advanced machine learning models to analyse thousands of possible scenarios and determine the optimal stock level at each warehouse and when replenishment should occur.
The AI-based simulator takes into account variables such as forecast demand in each region, transport costs and the operational capacity of each warehouse to test various inventory replenishment policies without affecting real-world operations. [Read more…] about MIT CTL and Mecalux develop an AI-based simulator to optimise inventory across warehouses