LLM Cost Optimisation for Logistics & Supply Chain

Semantic caching pays for itself immediately in any system with repeated questions, support assistants and internal search especially.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how llm cost optimisation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is exception and delay handling, usually integrated against WMS. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.