State-space models for demand

Model choice is a property of the data, horizon and loss function. This article uses state-space models for demand to highlight those design choices and their consequences.

Practitioner lens

A useful technical report on state-space models for demand includes the baseline, backtest design, feature cutoff, uncertainty measure and compute burden so another team can reproduce the comparison.

First experiment

Compare with naive and current-production baselines, then test sensitivity across product and lifecycle cohorts.

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