Historically, fleet managers used telematics to understand basic facts about their fleets, such as location and drive time. Now, fleets have access to AI-powered predictive analytics. By combining Geotab hardware, which captures data from approximately 100 different truck sensors, with Uptake’s best-in-class AI software, this solution helps provide fleets with precise insights into which components will fail and when.
“For the first time, fleets can go beyond basic monitoring to proactively predict and prevent breakdowns,” said Hoyoung Pak, head of transportation and logistics at Uptake. “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. The market has been asking for this for a long time.”
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 AI engines, applies contextual information like weather and historical data, and delivers data science-backed insights that keep the entire fleet running at peak efficiency.
“Uptake’s ability to predict equipment failures with an incredibly high level of precision, even down to the sub-component level, has not been possible before in this industry,” said Scott Sutarik, associate vice president of commercial vehicle solutions at Geotab. “By aligning with Uptake, Geotab customers can access a new level of detailed, actionable data to help prevent unplanned downtime, improve their bottom line and stay competitive.”
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 their fleet.