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Optimization inventory, service levels, and working capital - Simultaneously

Move from reactive planning to mathematically optimal supply chain decisions.

Decisions We Optimize

Decisions We Optimize

How much to stock, where, and when
Safety stock by SKU/location
Replenishment policies
Trades-offs between service level, cost, and cash
Supplier allocation and constraints

How We Do It

1
Demand uncertainty modeling
2
Inventory optimization models
3
Network-level constraints
4
Scenario simulation for disruptions

Decisions are recomputed continuously, not once per quarter.

Why This Is Hard

Inventory optimization at scale
Policy-based replenishment rules
Scenario & stress-testing
Measurable reductions
Complexity and uncertainty

What You Get

Inventory optimization engine
Policy-based replenishment rules
Scenario & stress-testing
Measurable reductions in stockouts and excess inventory
Google Cloud
Google Cloud
AWS
Azure
Microsoft Azure
Databricks
Databricks
Gurobi Optimization
GurobiOptimization