Technical, field & production · Data, reporting & decision-making
Downtime and scrap causes ranked every week
Operators log a stop or a scrap batch in a few words on a phone; the AI standardises the causes, ranks them by lost hours and cost, and tells the production lead the three things worth fixing first.
- Avg. time saved
- 2–4 h/week· ≈ 13 h/month
- Rollout
- CoreDays 15–35
- Who it is for
- Contractors, manufacturers, field ops
In short
Downtime and scrap causes ranked every week: Operators log a stop or a scrap batch in a few words on a phone; the AI standardises the causes, ranks them by lost hours and cost, and tells the production lead the three things worth fixing first. It typically gives back 2–4 hours a week to whoever does this by hand today. Built for: Contractors, manufacturers, field ops.
Typical hours saved per week for the people doing this by hand today, from the 2026 report's ranges. The AI writes what that time makes possible.
Example
Comes in
Week's log: 41 stops, 6 scrap entries from 3 machines
The AI
- Groups “no material”, “waiting for material” and “delivery late” into one cause
Comes back
Pareto: material supply 38% of lost hours, tool changes 22%, sensor fault on press 2 at 15%. A suggested fix for each
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Related terms
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