One system logs the stop.
Another logs the fix.
Without AI to connect them, the same stops keep happening.
Join our webinar: Manufacturing Intelligence — turning production data into fixes that stick
A free 60-minute session for production, reliability, and operations leaders who want to find the real root causes behind recurring stops, prioritise the worst offenders by OEE impact, and apply fixes their own teams have already proven work.
The problem is not the data. It is what's hidden inside.
Operator notes like "sensor issue again" or "pump L3 down" don't give teams enough to act on.
Recurring stops keep eating into OEE — because no one has time to connect what's logged to what actually fixes the problem.
In this session, Leonard Lin will show how Manufacturing Intelligence reads your existing production logs and surfaces the fixes your own teams have already proven work.
Secure your seat
Live session: 21 May 2026
Time: 10:00 GMT / 11:00 CET
Duration: 60 minutes
Help teams fix recurring stops with evidence, not guesswork
What this session covers
See how Manufacturing Intelligence reads your existing production logs, extracts root causes from messy operator comments, and ranks recurring stops by their real impact on OEE.
The focus is practical: less guesswork, fewer repeat callouts, and faster alignment between maintenance and production.
Who is this session for
For teams stuck firefighting the same recurring stops.
You do not need to be an existing Maintmaster customer to attend. This session is for people who want to move from reactive fixes to root-cause clarity, and get maintenance and production working from the same evidence.
See how AI turns production logs into fixes that stick
Join this session to learn how Manufacturing Intelligence finds the root causes behind recurring stops, ranks them by OEE impact, and surfaces the fixes your own teams have already proven work.
What you'll leave with
How AI extracts root causes from messy operator notes
See how Manufacturing Intelligence reads free-text logs like "sensor issue again" and turns them into structured insights — without operators changing how they work.
How to rank your worst recurring stops by OEE impact
See how MI scores stops by frequency, duration, and downtime cost, so the right problems get tackled first instead of the loudest ones.
How MI suggests proven fixes from your maintenance history
Rather than starting from zero each time, see how MI surfaces what your own technicians have already done to resolve similar failures — reducing trial-and-error and repeat callouts.
How shared evidence aligns production and maintenance
When both teams see the same ranked priorities and the same proven fixes, morning meetings, shift handovers, and response decisions become faster and less contentious.
Meet your host - Leonard Lin
Leonard leads Manufacturing Intelligence at Maintmaster, helping plants unlock the insights already sitting in their maintenance and OEE data. He has spent his career building product and engineering teams that move fast, stay close to customers, and turn complex technology into practical results on the ground.
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Product Manager for Manufacturing Intelligence (MI), formerly Peoplegeist
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Background in e-commerce, marketplaces, operations, and applied machine learning/AI
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Focused on turning AI capability into measurable improvements for maintenance and production teams
Connect with Leonard on LinkedIn.