Uptake pairs predictive maintenance with Daimler Truck North America’s data model

The manufacturer and predictive maintenance software company are partnering to provide consenting Daimler trucks customers access to Uptake's maintenance platform.
Feb. 17, 2023
2 min read
Image: Uptake
Fleet Work Order Analytics 1 63ee95e6adffd

Uptake, a software-as-a-service (SaaS) performance management company, has entered into a commercial agreement with Daimler Truck North America LLC (DTNA) to enable the use of data-as-a-service (DaaS) technology to power Uptake Fleet, the company’s fleet management platform.

Through this DaaS agreement and upon customer consent, DTNA will stream their necessary customer data to power Uptake Fleet, gaining insight on how the manufacturers trucks are performing in the field. Uptake will then help fleets optimize vehicle lifecycles and reduce repair costs utilizing predictive models, virtual diagnostics, and sensor analytics.

"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. "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 uphold their agreement with DTNA.

"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,” said Sanjiv Khurana of DTNA.

DTNA customers will be able to utilize Uptake's recently announced new capabilities in Uptake Fleet, effective immediately. Leading the additions is an expanded Work Order Analytics capability that enables users to predict vehicle failures down to the component level for more detailed and accurate decision-making. Also included in Uptake Fleet's enhancements is support for a number of popular sensor analytics endpoints, which fleets can leverage to optimize their maintenance scheduling and further reduce vehicle breakdowns.

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