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Predictive maintenance Next

Hear about failures before they stop the line.

MIE already records every machine at your plant. It uses that record to warn you when a part is likely to fail, to track your monthly production goal, and to tell you the moment downtime puts that goal at risk.

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mie.thinklytixai.com/machines/BOILER-01
MIE machine page for Boiler 1 showing each tag in its normal range, an open alert and machine details
The maintenance loop

Five steps, every time.

A warning is only useful if someone acts on it and the system learns from what they found.

  1. Early sign

    A reading starts drifting from its normal behaviour, well before it crosses a limit.

  2. Heads-up

    The owner gets a plain-language message on WhatsApp, Slack or email: "Please review Turbine 2 bearing. There is a chance it may fail in the next 1–2 weeks. Take a look once."

  3. Acknowledged

    Someone takes it and books a check, or snoozes it with a reason. Unanswered warnings climb the same escalation tiers as alerts.

  4. Fixed

    The outcome is recorded against the machine in three taps: fixed, scheduled or nothing found.

  5. Learns

    Every outcome sharpens the next warning for that machine and machines like it.

Production goals & downtime

Know the month is slipping while you can still save it.

  • Goal tracking. Set the plan (for example 2,000 units a day) and the monthly goal (55,000). MIE shows produced so far, projected month end and the gap.
  • Stop alerts. When a critical machine stops, the owner is told straight away, with the units being lost.
  • Goal at risk. When the projection falls short, MIE says so early, with how much output is needed per day from here.
  • Downtime reasons. Each stop can be tagged with a reason, so the month shows where output really went.
What you get

Where it shows up in MIE.

Likely next

A panel in every client summary: which machine, roughly when, how sure, and what to check first.

Machine health

A health view on each machine page with warnings, acknowledgements and fixes on one timeline.

Heads-up messages

Warnings on the channels your team already uses, with acknowledge in one tap.

Questions

Common questions.

Is predictive maintenance available today?
It is the next major feature on the MIE roadmap and builds on the data MIE already records at client plants. Talk to us about joining the first group of plants.
How much history does MIE need?
Early signs need a few weeks of readings for a machine. Accuracy improves as outcomes are recorded.
Do we need new sensors?
No. MIE works with the readings your machines already send over HTTPS, MQTT, OPC-UA or Modbus.
See it on a real plant

Ask the demo plant your own question.

We'll walk you through MIE on a live plant in 30 minutes.

Or call +91 98288 93692 · +91 83174 54076 · info@thinklytixai.com

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