Hub Group has launched an enhanced end-to-end visibility service to deliver real-time, shipment-level ETAs. It will leverage its fully GPS-equipped container fleet, railroad data and a combination of AI and machine learning technology to provide improved accuracy.
Machine learning will allow Hub Group to constantly analyse the transit of freight, considering more than 10m data points to provide continuous, real-time arrival updates. This will allow Hub Group to give customers end-to-end visibility into their shipments, sharing more data, and hopefully allowing for more accurate planning.
Hub Group’s data capture and use of IoT technology allows for a more in-depth look at ETAs and estimated time to ground (ETG) through the lens of historical and real-time data. Inputs are continually updated based on transit events, truck speed, traffic and weather conditions, as well as other variables. This real-time information is delivered in the manner that works best for the customer, whether via API, EDI or Hub Group’s customer platform, Hub Connect.
“It is imperative to us that our innovations in technology align directly with what will drive real impact for our customers’ businesses. End-to-end visibility provides our customers with a new level of insight and drives greater efficiency by allowing them to plan with the greatest accuracy possible, which will ultimately enable smarter business decisions.” Said Vava Dimond, Chief Information Officer at Hub Group.
Source: Hub Group
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