An equipment OEM wanted to shift from one-time sales to usage-based billing but lacked reliable utilization data from deployed machines. Disparate controllers and cloud silos prevented a single view of fleet performance.
Built an edge-to-cloud analytics pipeline that tracks machine utilization, predicts maintenance windows, and enables pay-per-use billing for industrial equipment.
An equipment OEM wanted to shift from one-time sales to usage-based billing but lacked reliable utilization data from deployed machines. Disparate controllers and cloud silos prevented a single view of fleet performance.
Maestrotek built an edge-to-cloud pipeline that collects machine telemetry, normalizes data across sites, and feeds analytics and billing engines. Predictive maintenance models run on aggregated fleet data with secure tenant isolation.
The OEM launched Machine-as-a-Service offerings with accurate usage metering, reduced unplanned downtime through predictive alerts, and improved customer retention with performance dashboards.
Talk to our team about how Maestrotek can deliver similar outcomes for your operation.