Success Story

Rail ETA Prediction Solution for a Service Provider for the North American Freight Railway Industry



Business Problem

  • ETA accuracy is very important to rail customers as it has significant cost implications.
  • ETA very difficult to estimate as per traditional methods due to complexity and noise.


  • Online machine learning.
  • Transit models.
  • Dwell models.
  • Routing and Estimation.
  • Graph based routing.

Business Outcomes

More accurate ETA prediction.

Scope of Engagement

3 Member multi-disciplinary team / 6 months.

Services Provided

Optimization, Business Intelligence, Advanced Analytics

Technology Used

Spark MLLib, Spark streaming, MemSQL and neo4j