Daimler Truck North America (DTNA) is working with Uptake to provide predictive analytics through a data-as-a-service (DaaS) model.

Daimler will stream data to Uptake, which will administer the technology needed to help fleets optimize lifecycles and reduce repair costs using predictive maintenance, the two companies announced. Uptake says it can predict vehicle problems before fault codes are displayed, and recommend corrective actions before costly repairs are needed.

“Trucking companies are facing unprecedented challenges today, from delays in acquiring parts to labor shortages and rising repair and maintenance costs,” said Kayne Grau, CEO of Uptake. “Since its inception, Uptake has been focused on connecting data, assets and operators. Our agreement with DTNA will provide our customers and partners with even more data-driven insights to ensure fleets are fully operational, safe and reliable.”

Uptake says it will use 65 data science models to help DTNA customers reduce unplanned maintenance events. It will also offer real-time insights into the performance of individual vehicle parts and subsystems.