With machine learning, predictive analytics, and algorithmic optimization, MEIO can identify the many causes of inventory shortages and excesses. It considers interdependencies among suppliers, production stages, distribution centers, warehouses, and customers, as well as the cost of all materials flowing through the supply chain. They include costs, demand signals, supply volatility, and sourcing. At the same time, stock locations and amounts across all inventory types in a supply chain network can be optimized.
