MVP One CMMS Integration with I-care Reliability
Build a seamless reliability ecosystem from industrial sensors to CMMS with I-see™, I-care's predictive maintenance software solution.

I-See™ + MVP One
The integration between MVP One and I-see™, I-care Reliability's predictive maintenance software platform, creates a powerful feedback loop between asset condition insights and maintenance execution.
I-care's Wi-care™ sensors and I-see™ platform continuously monitor equipment and flag anomalies as they arise. These alerts trigger an in-depth analysis, generating diagnostics and maintenance recommendations.
These insights are then automatically transferred to MVP One, where they are validated, matched with inventory availability, and turned into scheduled maintenance tasks. Once the intervention is completed, performance data flows back to the I-see™ platform. This feedback loop not only confirms the success of the operation but also strengthens the predictive models, continuously improving diagnostics and future maintenance planning.
Detect Performance Anomalies with Predictive Maintenance Tools
I-see™ collects and analyzes real-time data from I-care's industrial sensors, called Wi-care™, about equipment vibration, impact, and temperature. These predictive maintenance solutions assess asset health using advanced condition monitoring techniques.
Automatic Work Order Creation in MVP One
When I-see™ identifies a performance outlier, the Wi-care™ enabled sensor feeds data into MVP One to automatically trigger a work order based on established min/max triggers. Each work order includes the critical information needed for a timely and effective resolution.
AI-Driven Asset Tracking and Priority Updates
As new data is analyzed, I-see™ uses asset tracking AI to evaluate issue severity. If asset conditions change, the work order priority is automatically updated in MVP One to reflect the new level of urgency.
Bidirectional IoT integration for Work Order Sync
Work order status changes, such as scheduled, in progress, completed, or cancelled, are synced back into I-see™. Wi-care™ vibration temperature and all sensor data is also synced into the I-see™ platform for total data clarity. This IoT integration ensures both platforms stay aligned and that I-care can verify that corrective actions were taken.
Feedback Loop for Continuous Improvement
Once maintenance is finished, MVP One sends complete work order data to I-care to update baseline data for the monitored asset. By combining I-care's predictive maintenance tools with MVP One's CMMS automation, we deliver a comprehensive system that enhances the accuracy of maintenance operations.
What is I-care Reliability?
I-care Reliability is a global leader in predictive maintenance, monitoring thousands of industrial machines worldwide with advanced technologies. I-see™, I-care's AI-driven software platform, integrates effortlessly with external systems to gather PdM data, deliver failure predictions, and feed CMMS software essential insights to optimize maintenance operations.
Why Use an I-care CMMS Integration?
- IoT integration with Wi-care™ sensors and the I-see™ platform, triggering work orders based on equipment performance outliers.
- Asset tracking AI in I-see™ automatically updates work order priorities as analysis data changes.
- Equipment condition monitoring tools catch defects before they escalate into breakdowns.
Support
For any questions about integrating MVP One with I-care's predictive maintenance solutions, contact us at info@mvpone.com or book a demo to speak with an MVP One CMMS expert.
For more information on I-see and other equipment condition monitoring tools from I-care Reliability, visit https://www.icareweb.com/.
Ready to Transform Your Maintenance?
Get in touch with our team to learn how the MVP One + I-care integration can reduce downtime, cut costs, and extend the life of your assets.