Manufacturing
Predictive Maintenance IoT System
60% Cost Reduction across a 12 months delivery with 18 engineers.
Downtime/Month
73%
Maintenance Cost
60%
OEE
+22pp
Mean Time to Repair
57%
The Challenge
The manufacturer was losing significant time and money to unplanned equipment failure across multiple facilities. Maintenance schedules were mostly time-based, which meant some machines were serviced too early while others failed before issues were spotted.
Our Solution
We introduced an IoT and predictive maintenance architecture that collected machine telemetry at scale, turned it into useful signals, and flagged likely failure patterns early enough for plant teams to act before downtime escalated.
Business Impact
Plant operations gained earlier warning on equipment issues, downtime dropped sharply, and maintenance resources were used much more efficiently across the network.
Performance Timeline
Our Process
Delivery Snapshot
Tech Stack
Technologies
Project Details
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