Schneider Uses AI to Improve Estimated Arrival Times
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Schneider has leveraged artificial intelligence to develop a proprietary tracking application programming interface, called ETAi, intended to provide more accurate arrival times to freight customers compared with tracking aggregators.
Earlier this year, Schneider piloted ETAi with 4,000 drivers. Now, all company drivers in its truckload van division use it. In its second-quarter earnings report, Green Bay, Wis.-based Schneider reported it had 8,728 company trucks in its truckload division.
“When we studied it across the transportation industry, we were surprised by the level of ETA inaccuracy that has become commonplace,” Chief Information Officer Shaleen Devgun said in a statement.
Deployment to its entire fleet — about 13,700 trucks — should be complete by the end of the year. Schneider expects its tracking API with ETAi data to be available to all customers over the course of the next year.
With ETAi, Schneider has seen a 26% improvement in its ETAs compared with the prior method. ETAs are automatically updated without driver intervention, eliminating the need to stop driving to make updates to arrival times when a trip is impacted by traffic, weather or other unforeseen situations.
Schneider ranks No. 7 on the Transport Topics Top 100 list of the largest for-hire carriers in North America. — Transport Topics
