Unplanned equipment downtime cost the client $2.8M annually. Reactive maintenance meant replacing parts either too early (waste) or too late (production halts).
We deployed IoT sensor integration with a real-time ML pipeline for predictive maintenance — using time-series forecasting, anomaly detection, and a custom alerting dashboard for floor managers.
“AirOxa's predictive maintenance system paid for itself in under 4 months. Our production uptime has never been higher.”
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