Transformer forecasting design choices

Model choice is a property of the data, horizon and loss function. This article uses transformer forecasting design choices to highlight those design choices and their consequences.

Practitioner lens

Operational monitoring for transformer forecasting design choices should track residual patterns, input drift, interval coverage and performance by lifecycle state—not only a global score.

First experiment

Monitor feature drift, residual structure and changing error by segment after deployment.

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