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Preventive and Predictive Maintenance: CMMS + IIoT
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Preventive and Predictive Maintenance: CMMS + IIoT

Cut unplanned downtime with condition-based maintenance

JSW Vijayanagar WorksConfidential US and EU plants - under NDA
40%

Less Downtime

> 95%

PM Compliance

IIoT

Sensor Ready

Mobile

Work Orders

The Challenge

Most asset-intensive operations still run reactive maintenance - fix it after it breaks. Even those running scheduled preventive maintenance over-service some assets and under-service others, because the schedule is calendar-based rather than condition-based. Unplanned downtime, in steel, cement, pharma and food, regularly costs USD 100,000+ per hour.

Ajinkya's Smart Solution

A modern CMMS that combines scheduled preventive maintenance with sensor-driven predictive maintenance. Vibration, temperature, current-signature and oil-quality sensors stream to an ML layer that triggers work orders before failures occur. Field technicians work from a mobile app with QR-coded equipment, video SOPs, offline support and parts-availability checks against the ERP.

Business Impact

Unplanned downtime down 40%, mean time between failures up 35%, and PM compliance lifted from a typical 60-70% to a sustained 95%+ across pilots.

Technology Stack

React NativeNode.jsPython (ML)TimescaleDBVibration / Temperature / Current SensorsOPC UASAP PM / Oracle EAM connectors
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