The field manual for machine learning in manufacturing · updated September 1, 2026
ManufacturingML
Free tool

Rank your ML use cases on what actually decides them

Data availability, annual value, build effort and operational risk — weighted, scored out of 100, with eight common industrial use cases already seeded. Data availability carries the most weight because it is the one column you cannot buy your way out of.

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Download the Matrix (.xlsx)

Background reading: the use-case library and the encyclopedia entries.

What’s inside

  • Eight seeded industrial use cases
  • Four weighted criteria, scored 1–5
  • Automatic priority score out of 100
  • Colour banding so the shortlist is obvious
  • A reading guide for what each band means