Optimal buffering is not one number per SKU node. In perishable and temperature-controlled networks, inventory is a clock: every echelon burns remaining shelf life and adds handling risk. We optimize where to hold safety stock and cycle stock so service targets stay met while FEFO, cold-chain constraints, and minimum-life-on-receipt rules are respected. For process manufacturers, the same framework decouples plants, tank and batch WIP, and distribution lanes—not with generic buckets, but with lead-time variability, campaign cadence, and network cost trade-offs. Whether the constraint is a reactor, a pasteurizer hold, or a frozen DC slot, the model ties demand to executable replenishment and deployment.

Key Benefits

✓Right-size multi-echelon buffers under demand volatility, lead time risk, and remaining shelf life
✓Position stock across plants, co-packers, and DCs for cold chain and FEFO-aware service
✓Align production and release calendars with outbound routing and retailer cut-in dates
✓Eliminate double buffering and emergency transfers across echelons
✓Stress-test networks for ingredient shortages, lane disruption, or capacity loss

Use Cases

•Multi-echelon inventory optimization (MEIO) with expiry and temperature-aware service levels
•Chilled, frozen, and ambient finished-goods deployment in food & beverage
•Strategic safety stock across plants, 3PLs, and regional DCs
•Bulk liquid and intermediate storage for specialty chemicals and ingredients
•Scenario planning for recalls, port delays, or cold-storage capacity shocks

Implementation Approach

We map your network topology, shelf-life and temperature policies (where relevant), cost of spoilage or markdown, and service rules. Models integrate demand, inventory, production capability, and transportation so S&OP and deployment targets reflect how your network actually behaves—from ingredient to retailer door.

Inventory & Network Optimization

Key Benefits

Use Cases

Implementation Approach

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