Predictive maintenance that cut unplanned downtime by 28%
How a manufacturing group connected sensor streams, maintenance logs and operator workflows into an AI-assisted reliability command centre.
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Maintenance teams had data but no shared signal.
Sensors, PLCs, CMMS records, and operator notes lived in separate systems. Reliability engineers could investigate failures after the fact, but they lacked a trusted early-warning path for the assets that mattered most.
We connected the physical signal to the work order.
Quantlix built a streaming data plane, anomaly scoring, model monitoring, and a maintenance triage surface. Operators could accept, dismiss, or annotate recommendations, creating a feedback loop for model quality.
The system became part of the operating rhythm.
Reliability teams used the command centre in daily standups, while plant managers gained a portfolio view of risk. The client reduced unplanned downtime and improved confidence in preventive work orders.
