success story

Transforming reactive maintenance to data-driven fleet visibility

Enabling continuous monitoring to improve operational efficiency and maintenance planning across distributed railcar fleets. 
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the challenge

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.
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the initiative

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
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the outcome

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.