The team developed a new AI-powered Predictive ETA and ETG capability which is now available in AccessNS. By combining real-time network data, historical trends, and machine learning models, the solution continuously adapts to changing conditions in the network and provides more accurate, actionable shipment forecasts.
The development of these AI models was led by Senior Director Analytics, Akshay Chauhan and Norfolk Southern's Data Science team in close partnership with Intermodal Product, Commercial leaders.
A key differentiator of the capability is its focus on ETG.
While ETA forecasts when a train arrives, ETG predicts when a container will actually be available for pickup. Using a strict measurement of accuracy within two hours of actual performance, the models continue to improve as shipments move closer to their destination.
"This is about more than improving a model. It's about changing the experience for our customers," said Chauhan. "By applying AI in a way that reflects how our network actually operates, we're delivering information customers can trust and act on."