The MIT CTL (Center for Transportation & Logistics) and Mecalux have developed an AI-powered simulator to optimize inventory distribution. The tool, named GENESIS, uses artificial intelligence to simulate thousands of tactical scenarios, enabling companies to balance their stock and reduce transportation costs. This approach directly contributes to cost reduction and better utilization of existing assets. Rodrigo Hermosilla, a researcher at MIT CTL, highlighted that the development focused on processing speed, allowing assessments that previously took days to be resolved in minutes. This analytical capability facilitates informed decision-making for both technical profiles and business leaders. Efficiency through inventory redistribution One of the standout innovations of this tool is its ability to prioritize internal inventory rebalancing. The collaboration between the two entities will continue with projects focused on digital twins and optimization of high-density storage systems. Javier Carrillo, CEO of Mecalux, stated that the primary objective is to minimize the total cost of the logistics network while ensuring an optimal service level. The system analyzes critical variables such as forecasted regional demand, operational capacity of facilities, and transportation costs. It evaluates whether it is more profitable to transfer products from a warehouse with a surplus to one with a shortage, rather than issuing new orders to suppliers. Through these indicators, users can identify consumption patterns, detect references at high risk of stockouts, and locate distribution centers with supply vulnerabilities.
