Sequence models for multi-horizon demand

Advanced methods need monitoring as well as training. This short read considers sequence models for multi-horizon demand and how to detect when yesterday’s fit no longer holds.

Practitioner lens

Operational monitoring for sequence models for multi-horizon demand should track residual patterns, input drift, interval coverage and performance by lifecycle state—not only a global score.

First experiment

Use rolling-origin backtests, horizon-specific losses and interval coverage; keep feature availability time-correct.

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