Gradient boosting for demand forecasting

Forecast uncertainty needs to be measured and carried into downstream decisions. This technical note frames gradient boosting for demand forecasting as part of that full planning chain.

Practitioner lens

Check how gradient boosting for demand forecasting behaves under regime changes and sparse data. A method should be monitored for degradation and have a practical fallback when assumptions stop holding.

First experiment

Report uncertainty, compute cost and maintenance burden alongside point accuracy.

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