Optimize warehouse slotting and layout with AI to improve picking efficiency, reduce travel and congestion, and make better use of storage space. This course is designed for learners interested in smart warehouse operations, fulfillment, inventory placement, and AI-enabled warehouse optimization.

You’ll examine how AI-driven slotting uses demand, item velocity, dimensions, weight, and product affinity to improve inventory placement. Learn to evaluate warehouse layouts using picking travel, storage capacity, space utilization, worker safety, ergonomic constraints, and product affinity. You’ll also explore how warehouse management and execution systems coordinate inventory moves, people, and robots. Examine how autonomous mobile robots, edge computing, digital twins, computer vision, and simulations support real-time execution and scalable fulfillment. By the end of the course, you’ll be able to evaluate warehouse layouts and slotting decisions, explain the technology foundation for smart warehouse execution, and assess orchestration and performance measures for scaling AI-enabled fulfillment. What makes this course distinctive is its connection of AI-driven slotting and predictive inventory decisions with warehouse layout, real-time execution, and scalable operations.