Uptake will use data-as-a-service technology from Daimler Truck North America (DTNA) to power its Uptake Fleet predictive maintenance and work order analytics technology.
The agreement between the two—and upon customer consent—will facilitate streaming of data. Uptake will administer the technology to help fleets optimize vehicle lifecycles and reduce repair costs using predictive vehicle maintenance. By analyzing information from subsystem sensors and work orders, Uptake can predict vehicle problems well in advance of a fault code and recommend corrective actions before they lead to costly repairs, delays, or roadside breakdowns, according to the company.
“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, in a statement. “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 will deploy 65 data-science models to help DTNA customers save money by minimizing their number of unplanned maintenance events. Uptake Fleet also offers real-time intelligence on the performance of individual vehicle parts and subsystems. Using predictive maintenance, operators buy only the parts they need when they need them, and tailor repair schedules to individual vehicles based on their actual usage.
“Daimler Truck North America is committed to using cutting-edge technologies so our customers can get the longest and most impactful life from their vehicles,” said Sanjiv Khurana of DTNA in a statement. “It is encouraging that Uptake is exploring new ways of leveraging data to optimize the performance of our trucks, and we are excited to explore the potential this brings.”
Source: Uptake
