AI Search Implementation for Logistics & Supply Chain

Pure semantic search is worse than keyword for exact product codes and part numbers. Hybrid retrieval is almost always the right answer.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how ai search implementation 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 carrier portals. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Built by engineers who ship production systems, not by a practice that subcontracts the build. We hand over with runbooks, tests and a team that knows how it works, not a dependency.