Mar 14, 2026 Warehousing Ireland Case Study, Main, News, shipping, Storage, Warehousing Comments Off on MIT CTL and Mecalux develop an AI-based simulator to optimise inventory across warehouses
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. “The genetic algorithm enables multiple simulations to be run using different parameters until the most efficient logistics strategy is identified. Companies can compare scenarios and select the one that best fits their operations,” says Dr. Matthias Winkenbach, Director of Research at the MIT Center for Transportation & Logistics and the Intelligent Logistics Systems Lab.
Once data and variables are entered into the system, GENESIS generates the optimal solution along with advanced statistical dashboards. Users can analyse indicators such as consumption patterns, regions with high demand variability, SKUs with a greater risk of stockouts or warehouses experiencing supply issues.
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