Supplier lead-time drift signals

The aim is not to automate every exception. It is to recognize which one deserves attention first. This note examines supplier lead-time drift signals as a practical decision-support pattern.

Practitioner lens

Good AI assistance around supplier lead-time drift signals should make uncertainty legible. Show the strongest evidence, the main caveat and a safe fallback when the evidence is weak.

First experiment

Define a human review rule for low-confidence cases and keep an auditable reason for each override.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.