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Penske Logistics taps Snowflake AI to develop AI-based program that flags drivers at risk of quitting based on work patterns, route history and behavioral signals

July 8, 2025 //  by Finnovate

Penske Logistics has leveraged Snowflake Inc.’s evolving artificial intelligence capabilities through a strategic partnership that’s reshaping the supply chain landscape. “We have onboard telematics devices inside our fleet that are generating millions of data points, including things like hard braking, following too closely, fuel consumption and so on,” said Vishwa Ram, vice president of data science and analytics at Penske Logistics. “Getting all of that data in one place and adding it up with other sets of data that we have that are contextual is a huge challenge for us.” “We’re accustomed now to disruption being normal, and as a result, organizations see just how important it is to invest in that visibility element so they can see the disruption as it’s coming, or at least be able to react in real time when it does happen,” he said. For Penske, this means leveraging predictive analytics to foresee supplier delays and reroute resources before bottlenecks occur. Additionally, the company applies AI in workforce retention. With drivers making up over half of its workforce, driver satisfaction is key. Penske developed an AI-based program that flags drivers at risk of quitting based on work patterns, route history and behavioral signals. Armed with these insights, frontline managers proactively engage with drivers, often adjusting schedules or simply checking in, according to Ram.

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Category: Data Economy & Privacy, Innovation Topics

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