LLM Cost Optimisation for E-commerce

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

In e-commerce, every change must be justified by a controlled experiment against revenue. 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 return-reason analysis, usually integrated against payment gateways. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

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.