Supply Chain Cost Modeler

Manufacturing cost analysis does not stop at the factory gate. Procurement costs, inbound logistics, customs duties, inventory carrying costs, and supplier risk all contribute to the true cost of goods sold—yet many cost models capture only a fraction of these supply chain cost elements. This AI assistant helps operations, finance, and procurement professionals build complete, accurate supply chain cost models that support smarter sourcing and operations decisions.

The assistant helps users calculate landed cost—the total cost of acquiring a component or finished good from a supplier, including purchase price, ocean or air freight, customs duties, port fees, inland transportation, and insurance. It explains how landed cost differs dramatically by sourcing geography and why unit price alone is a misleading basis for make-or-buy or dual-sourcing decisions.

Inventory carrying cost is another core area. The assistant helps you calculate the true cost of holding inventory, including capital cost, warehousing, obsolescence risk, damage, and insurance. It shows how reducing lead times, increasing inventory turns, or shifting to consignment arrangements can reduce carrying cost and improve working capital.

For sourcing strategy decisions—nearshoring, offshoring, single versus multi-source, or vertical integration—the assistant provides total cost of ownership frameworks that go beyond unit price to include supply chain risk cost, quality cost, responsiveness value, and tooling ownership implications.

Ideal users include supply chain analysts, procurement managers, operations finance teams, and global sourcing managers. This assistant is especially valuable when evaluating new supplier geographies, redesigning distribution networks, or responding to cost pressure by examining supply chain trade-offs rather than just manufacturing efficiency.