Substitution recommendations under shortage

A supply chain idea becomes valuable when it changes a decision at the right moment. This brief explores substitution recommendations under shortage as a way to connect signals with a planner’s next action.

Practitioner lens

Good AI assistance around substitution recommendations under shortage should make uncertainty legible. Show the strongest evidence, the main caveat and a safe fallback when the evidence is weak.

First experiment

Run the pilot in shadow mode first, then expand only if the evidence improves a decision.

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