AI Inventory Planning and Replenishment

Build smarter inventory and replenishment decisions with AI-informed planning across complex supply chain networks. This course shows you how demand variability, supplier lead times, and shared network visibility influence safety stock, reorder points, and stock positioning across suppliers, distribution centers, and retail locations. You’ll compare dynamic reorder points, fixed and variable order policies, inventory pooling, demand sensing, vendor-managed inventory, collaborative planning, and supply chain control towers. You’ll also evaluate replenishment choices against holding costs, stockout risk, warehouse capacity, logistics costs, disruptions, and sustainability constraints. Designed for learners interested in inventory planning, replenishment, and supply chain optimization, the course connects multi-echelon inventory optimization with practical AI-supported decision-making. You’ll learn to assess network-wide inventory decisions, apply replenishment principles to operational scenarios, and evaluate how explainable AI, ethical allocation, sustainability, and autonomous workflows can shape future inventory optimization. What makes this course distinctive is its network-wide view of inventory, balancing service, total cost, risk, and emerging AI-supported replenishment approaches.