Problem Statement

A mid-sized manufacturing plant struggled with intermittent machine downtime and a lack of real-time visibility into motor health across 40+ production nodes. Data was manually logged, leading to 12% unplanned downtime annually.

Varunah Cloud Solution

We implemented a direct-mapping sensory architecture. High-frequency vibration and thermal sensors were deployed at every node, streaming via MQTT directly into the Varunah Cloud Ingestion Engine.

KPI Metric	Before	After Integration
Unplanned Downtime	12.4%	2.8%
Maintenance Model	Reactive	Predictive
Data Latency	24 Hours	< 500ms

Conclusion

The transition to Varunah Cloud allowed for automated anomaly detection. The ROI was realized within the first 4 months through significant energy savings and optimized machine throughput.