Conformal prediction for forecast coverage

Advanced planning methods are only useful when they improve a real decision under real constraints. Here, conformal prediction for forecast coverage is framed as a testable system-design choice.

Practitioner lens

Separate prediction from action in conformal prediction for forecast coverage: identify what is estimated, what is optimized and which business rules must remain binding regardless of model confidence.

First experiment

Compare against a transparent baseline under both routine conditions and deliberately adverse scenarios.

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