Computer Vision for Logistics & Supply Chain

The retraining pipeline is the deliverable people forget. Conditions drift, new defect types appear, and a model nobody can retrain quietly rots over a year.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how computer vision 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 proof-of-delivery capture, usually integrated against TMS. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

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.