Supercharging Your CMMS: From Record-Keeping Tool to Predictive Maintenance Engine

Most computerized maintenance management systems (CMMS) are optimized for scheduling and documentation, not for continuous sensing, anomaly detection, or automated execution. In the era of Industry 4.0, maintenance teams need more than organized records.  

This e-book explains how manufacturers integrate predictive maintenance (PdM) with their CMMS to create a closed-loop system that connects real-time machine health insights to automated, context-rich work orders. Drawing from real-world examples, this guide shows how integration turns documentation into decisive action.

From this e-book, you’ll learn:

• How integrating predictive maintenance transforms your CMMS — connect real-time sensor data, prescriptive recommendations from your Condition Monitoring Engineer (CME), and automated work orders

• Why traditional CMMS platforms fall short — understand the gaps that allow downtime, backlogs, and siloed data to persist

• How a closed-loop model drives continuous improvement — ensure work order completion data feeds back to strengthen predictive accuracy

• How to build and scale a proactive maintenance engine — start with high-impact assets, prove value quickly, and standardize across sites

Download the e-book to learn how to move from reactive record-keeping to proactive reliability that drives measurable operational results.