Transforming reactive maintenance to data-driven fleet visibility

Limited asset visibility across distributed fleet 

Managing a geographically dispersed fleet meant the company had limited visibility into the condition and status of its railcar assets. 

Key challenges included: 

• Limited asset health visibility  

• Delayed fault detection and response  

• Manual inspections and reactive maintenance  

• Higher maintenance effort, lower fleet availability 

These limitations made it difficult to prioritize maintenance actions and manage fleet performance consistently.

IoT-based remote condition monitoring solution 

To address these challenges, the company implemented a purpose-built embedded IoT solution to enable continuous monitoring of railcar condition across demanding field environments. 

The solution included: 

• Sensors for brake status, pressure, impacts, and hunting detection  

• GPS/GNSS-based railcar tracking  

• Secure OTA updates  

• Low-power, long-life operation  

• Secure cloud-connected fleet monitoring 

Proactive maintenance through continuous fleet visibility and operational efficiency 

The initiative replaced periodic inspections with continuous railcar monitoring, providing real-time visibility into asset health and location while enabling proactive, condition-based maintenance. 

Key benefits of the solution:

• Real-time railcar visibility  

• Early issue detection  

• Reduced unplanned maintenance  

• Data-driven maintenance planning 

Continuous monitoring and operational visibility enable optimized fleet performance, improved maintenance efficiency, and data-driven decision-making.