Inventory optimization

Problem

Inventory planners use static reorder points and safety stock formulas that don't adapt to changing demand. The result: excess stock in some locations and stockouts in others.

Solution

The AI agent analyzes demand forecasts, supplier lead times, warehouse capacity, and service-level requirements to recommend optimal stock levels for each SKU at each location. It generates replenishment orders and rebalancing transfers automatically.

Benefits

• 15–25% reduction in carrying costs
• Fewer stockouts across locations
• Dynamic reorder points that adapt to demand
• Automated replenishment and transfer recommendations

How to get started

1. 1

   Connect inventory and demand data

   Integrate your WMS, ERP, and demand forecast. The agent needs current stock levels, inbound shipments, sales velocity, and lead times.

2. 2

   Set service-level targets

   Define target fill rates by product category and location. The agent balances inventory investment against stockout risk for each SKU.

3. 3

   Review and execute

   The agent recommends replenishment orders and inter-warehouse transfers. Review suggestions, approve, and track fill rate and inventory turns over time.

Recommended tools

SAP Ariba, Oracle SCM, Blue Yonder. See the full list on the AI Supply Chain Agent pillar page.