Our Client is one of the leading global providers of systems and components for freight and transit railcars and locomotives. They provide live freight car locations to the end clients.
The client wanted to improve customer service by developing an automated solution to predict the estimated arrival time of freight containers through near real-time estimates on arrival/estimated delay as the rail container moves on its route based on historical data.
Predicted the ETAs for 95% of the cases within +/- 60 minutes
Accurate predictions enabled the users to plan logistics better