CLEVER STOCK OPTIMIZATION

Adjusting production to demand needs and thus optimizing stock levels in order to minimize inventories and work in progress materials is one of the key aspects of manufacturing businesses. Much work and optimizations can be performed by applying lean manufacturing techniques (heijunka or production levelling, kanban supermarkets, etc.) but they should coexist with Industry 4.0 technologies in order to build higher value tools based on Machine Learning that learn from past situations and model how stock levels evolve, providing an optimal approach to refil SKUs. CSO is an extremely interoperable data-driven service for optimization of stock management based on AI algorithms.