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Findings ranked by their cost in OEE -
An actionable report, delivered in minutes
Run the Analyst whenever you want, on any period from a month up to a year. It reads a machine’s OEE and downtime data and turns everything it finds into one short report:
- Findings ranked by cost: each finding states what it costs you in OEE, so the first thing you read is the first thing worth fixing.
- Recommended actions: most findings come with a next step, either an action in Evocon or an organizational step.
- Plain language: written for a production professional to read and act on, not for a data scientist to interpret.
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Every number is calculated, never generated
Evocon runs statistical analysis on your production data, in code. The Analyst selects and explains what matters, so you don’t have to. It never invents a number. It finds patterns that are easy to miss:
- Stops that chain together: stops logged separately that behave as one connected problem.
- Losses that concentrate: on one product, one shift, one operator, or time of day.
- Trends that matter: a worsening stop is flagged with the week it began.
- Numbers that mislead: totals driven by a few extreme events, and target speeds set too low that inflate your OEE.
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OEE and downtime, analyzed together
A drop in availability is traced to the actual stops behind it, in the same report. One connected story instead of multiple reports to analyze separately.
- One report per machine: the OEE impact first, the downtime cause with its numbers after.
- Ranked by measured impact: priorities are based on underlying data, not guesses.
- A loss is never counted twice: connected findings merge instead of inflating the total.
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You stay in charge
The Analyst is there to help you, not to replace you. It does the in-depth analysis, so your time goes into making improvements instead of searching for them.
- Add your context: a maintenance window, a staffing change, a trial run. The Analyst takes your perspective into account.
- Data-quality warnings: it tells you when your own numbers are misleading you.
- You make the call: every finding shows its evidence, and the data behind it stays yours to check in Evocon.
Why the AI Analyst?
You don't have a data analyst on staff
Most factories measure their production. Far fewer get answers from it, because digging them out is real analysis work and those skills are scarce. The Analyst does that work for every station.
You have the data, not the time
Even teams with the skills rarely have time for in-depth analysis. The Analyst reads everything and reports only what should change wha you do next.
You want to know what to prioritize
Every finding carries its cost in OEE points, calculated from your data, and the report opens with the top priorities. The ranking is measured, not guessed, so your improvement effort goes where it earns the most.
You suspect a pattern and want confirmation
Maybe nights run worse, or one product always jams. The Analyst tests the pattern against your data and tells you whether it is real or just noise, so you investigate with confidence.
What would Al find in your data?
Start your free trial today and take your production improvement to the next level.
Inside a sample report
What's coming
Follow-up questions
Multi-station analysis
