The dairy producer enrolled in a $199 no-risk 30-day trial with the AssetWatch end-to-end vibration/ temperature condition monitoring solution, powered by AWS. The white-glove solution proposed by AssetWatch simplifies predictive maintenance by including all sensors/networking hardware, system installation and ongoing maintenance, cloud-based software, unlimited user licenses, robust AI fault detection capabilities, and a dedicated Condition Monitoring Engineer (CME) providing prescriptive maintenance recommendations as needed, avoiding alert fatigue created by comparable systems.

After implementing AssetWatch's comprehensive condition monitoring solution, AI detected abnormal vibration patterns associated with structural looseness on a critical separator located on a yogurt line. After review, the AssetWatch CME pinpointed the looseness issues to degraded rubber pads. Acting on this data, the maintenance team replaced the rubber pads and re-secured the separator’s mounts, reducing vibration velocity and stabilizing the equipment.

These proactive measures saved the dairy producer an estimated $120,000 by preventing further equipment wear and avoiding costly unplanned downtime. The solution also preserved production schedules and improved the reliability of their critical assets. AssetWatch’s turnkey solution empowered the facility to resolve issues before they escalated, delivering significant cost savings and operational efficiency. This case demonstrates the value of predictive maintenance in optimizing reliability and supporting the growing demands of modern manufacturing.