The simulator takes into account forecasted demand in each region, transportation costs, and the operational capacity of each warehouse.

Optimization is great for many things but terrible at capturing uncertainty and implementing recommendations on its own. Implementing optimization recommendations still requires a big dose of, “Well, ...

As e-commerce and logistics complexity grow, brands are turning to AI-driven simulation to forecast demand, test scenarios, ...

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 ...

The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...