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AI USE CASE
Predictive maintenance for equipment
Anticipate equipment failures days or weeks before they happen.
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Run the diagnostic →What it is
Sensor data plus historical maintenance logs feed an ML model that predicts time-to-failure for critical equipment. Maintenance switches from reactive to scheduled, cutting downtime and emergency callouts.
Data you need
IoT sensor streams (temperature, vibration, pressure) and 12+ months of maintenance logs.
Required systems
- erp
- data warehouse
Why it works
- Pilot on one critical asset class first
- Pair every alert with an inspection checklist
How this goes wrong
- Sensor data quality issues that no one investigates
- Maintenance team treats the model as a black box
When NOT to do this
Skip if you don't have IoT sensors or a budget for them, this is a multi-year programme.
Vendors to consider
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