Predictive maintenance for the device fleet
Kennis
March 11, 2026
Miranda van Tellingen

Kennis
March 11, 2026
Miranda van Tellingen


Traditional device management is often reactive: a broken scanner, a worn-out battery, or an unstable WiFi connection leads to unplanned downtime. And unplanned downtime is one of the biggest cost drivers in logistics and manufacturing.
With Predictive Maintenance, device management shifts from fixing to preventing. By gaining 24/7 insight into the condition of handhelds, tablets, and vehicle computers, a stable and predictable IT environment is created—supporting operations instead of slowing them down.

1. Battery Monitoring
Prediction: Analysis of charge cycles, temperature, and voltage trends reveals early battery degradation.
Action: IT automatically receives a notification to proactively replace the battery—before an employee experiences downtime during a shift.
2. Performance Analysis and Speed Monitoring
Prediction: AI detects anomalies in application response times, CPU load, or WiFi roaming.
Action: Through Mobile Device Management (MDM) tools, such as SOTI MobiControl, Reverse-IT remotely applies configuration or software optimizations.
3. Environmental Factor Monitoring
Prediction: Sensor data (e.g., accelerometers and temperature sensors) is correlated with historical failure data.
Action: Devices in high-risk areas receive targeted preventive maintenance or adjusted settings.


How does the implementation of Predictive Maintenance start?
The foundation is a professionally configured Mobile Device Management platform that collects in-depth device telemetry. Reverse-IT handles the full setup, integration, and continuous monitoring.
Is Predictive Maintenance applicable to existing device fleets?
Yes. Modern devices from brands like Zebra, Honeywell, and Datalogic are specifically designed for this. Existing Android fleets can often be integrated as well through additional software and configurations.
What is the expected ROI?
Organizations report up to 30% lower repair costs on average and a clear increase in productivity by eliminating waiting times and unplanned device downtime.