Manufacturing
Predicting Equipment Failure Before It Shuts Down the Line
A predictive maintenance model trained on sensor telemetry, deployed on cloud infrastructure built to ingest and score data in real time.
44%reduction in unplanned downtime
11 daysaverage advance warning before failure
3.1xreturn on maintenance cost within year one
The Problem
Unplanned equipment failures were costing the client production line downtime that reactive maintenance schedules couldn't prevent, and existing sensor data was sitting unused.
The Solution
We trained a predictive maintenance model on historical sensor telemetry and failure logs, then built the real-time cloud pipeline to ingest live sensor data and score failure risk continuously, alerting maintenance teams before a breakdown.
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