Go-Live Is Not Success: Validation and Testing in Logistics Transformation

A logistics transformation can be technically successful and operationally disappointing. That happens when the implementation team proves that the system was built correctly but nobody proves that it improved the logistics outcome the business funded it to improve.

Systems engineering separates two ideas that logistics programs should take more seriously: verification and validation. Verification asks whether the system was built correctly. Validation asks whether the right system was built. The move toward the Autonomous Logistics Network raises the validation burden rather than reducing it, because greater machine authority increases the consequence of untested assumptions and failure paths.

A new TMS can calculate routes correctly and still fail to improve transportation performance. A WMS can execute transactions correctly and still fail to improve order cycle time. A control tower can display every exception and still fail to reduce decision latency.

A warehouse automation system can operate exactly as specified and still create a bottleneck somewhere else in the building. A control tower can ingest all required data and still fail to reduce decision latency. An AI model can be accurate and still produce recommendations that users cannot execute.

This story was originally published by Logistics Viewpoints. Read the full story at Logistics Viewpoints →