Uptake and Geotab have joined forces to enable fleets to predict breakdowns before they occur....

Uptake and Geotab have joined forces to enable fleets to predict breakdowns before they occur. Pictured here is Uptake's AI-enabled Asset Performance Management application.

Photo courtesy of Uptake. 

Uptake will offer a maintenance management software solution that leverages Geotab's telematics hardware to enable fleets to predict failures using artificial intelligence, the software provider has announced.

Historically, fleet managers used telematics to understand basic facts about their fleets, such as location and drive time. Now, fleets have access to A.I.-powered predictive analytics. By combining Geotab hardware, which captures data from approximately 100 different truck sensors, with Uptake’s A.I. software, this solution helps provide fleets with precise insights into which components will fail and when. Uptake is an authorized Geotab reseller.

“For the first time, fleets can go beyond basic monitoring to proactively predict and prevent breakdowns,” said Hoyoung Pak, Uptake's head of transportation and logistics. “Pairing Geotab’s capabilities to effectively access and rapidly transmit sensor data with Uptake’s ability to turn massive amounts of data into actionable insights leads to undisputed outcomes. Those can include reduced fuel cost, decreased unplanned maintenance and increased fleet productivity."

Geotab’s devices use a patented efficiency algorithm that enables them to rapidly transmit data from sensors on a truck into the cloud. Uptake analyzes this massive amount of data in its proprietary A.I. engines, applies contextual information like weather and historical data, and delivers data science-backed insights that keep the entire fleet running at peak efficiency.

The software prevents data overload by only presenting alerts when trucks are at risk of breaking down. For example, it can identify voltage fluctuations that indicate a pending alternator failure, or that the diesel particulate filter needs to be cleaned sooner than expected. This enables fleets to optimize their maintenance cadence and maximize vehicle availability, while ensuring they are neither under- nor over-maintaining.

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