Structural causal models for demand planning

This technical brief treats structural causal models for demand planning as a decision system: define its state, objective, feasible actions and evidence before comparing algorithms.

Practitioner lens

Complexity in structural causal models for demand planning should be justified with sensitivity analysis. Vary key inputs and constraints to learn whether the recommended action is stable or fragile.

First experiment

Separate model-generated proposals from approved actions; preserve a safe fallback when inputs are missing.

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