AI optimizes inventory placement and picking routes in warehouses. Machine learning algorithms analyze order patterns, item relationships, and warehouse layouts to determine optimal storage locations. These systems reduce picking time by placing frequently ordered items together and suggesting efficient routes for workers. For example, Amazon's warehouses use AI to predict which products will be ordered together and store them nearby.
Computer vision systems automate quality control and inventory counting. Cameras with AI can identify products, detect damage, and track inventory levels automatically. These systems work continuously, reducing manual counting errors and providing real-time inventory updates. Walmart uses computer vision to monitor shelf stock levels and trigger reorders automatically.
Robotics and AI work together for automated material handling. AI plans movement paths for robots, coordinates multiple units, and adapts to changing warehouse conditions. These systems can work 24/7, reducing labor costs and improving accuracy. Ocado's warehouses use AI-controlled robot swarms that communicate with each other to pick and pack orders efficiently.