IIoT Predictive Maintenance Solution

Rising maintenance costs and unexpected equipment failures in manufacturing are driving the need for smarter, data-driven solutions. With manufacturing components continuously generating vast amounts of data, the need for advanced monitoring and analysis has never been greater. Our IIoT-based predictive maintenance solution offers a scalable approach to real-time monitoring and alerting, using IoT sensors to capture and process critical performance data. This data is then analyzed with advanced tools to improve operational efficiency, streamline maintenance, and enhance automation strategies. 

By integrating machine learning, Power BI, and big data analytics, predictive maintenance enables precise failure detection with 85% accuracy, allowing manufacturers to take proactive measures before issues arise. This solution helps minimize operational disruptions, optimize resource management, and maximize equipment uptime while reducing unplanned downtime.

Core Capabilities:  

• Self-service ML enables anomaly detection and predictive forecasting.

• Seamless interconnection across systems.

• Secure data sharing with external applications.

• Automated work order escalation driven by sensor alerts. 

Business Impacts:  

• 45% Reduction in Downtime 

• Improved Equipment Effectiveness 

• 30% Reduction in Maintenance Cost 

• 10X ROA 

• 85% Accuracy Over Failure & Anomaly Prediction 

• Improved Performance & Reliability 

Get in touch today to explore how our IIoT solution can elevate your operations!