Coyote Logistics Launches Dynamic Route Optimization Tech to Improve Shipping Productivity

Coyote Logistics said on Wednesday that it is launching dynamic route optimization (DRO), improving weekly routing plans and promising carriers consistent weekly miles, despite recent market volatility, in a range of 2,100-2,700 miles. The machine-learning algorithm is designed to provide fleets with efficiencies and consistency in load deliveries, Coyote officials said. The software will guide drivers to and from home bases by combing over factors such as region, drivers' hours, costs, load attributes, average load and unload times — among other data sets. Coyote said it then mixes the data over open and available loads, reducing idle times and deadheading. The program, which has been tested and piloted for a year at the UPS subsidiary, will "reduce the amount of time spent on scheduling and managing through disruption," Nick Shroeger, Coyote chief network solutions officer, told Transport Dive in an interview.