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Fullbay Acquires Pitstop to Bring AI-Powered Predictive Maintenance to Heavy-Duty Fleets

A recent Fullbay acquisition brings billions of service data points and advanced AI; the integrated platform enables real-time diagnostics, proactive repairs, and smarter fleet operations before breakdowns occur.

Semi-truck on highway with digital maintenance alert overlay, illustrating AI-driven predictive maintenance, fault detection, and fleet management technology.

Fullbay’s acquisition of Pitstop brings AI-powered predictive maintenance to fleets, turning years of repair data into real-time fault detection and proactive service before breakdowns occur.

Credit: Fullbay

3 min to read


Fullbay, the largest turnkey platform for heavy-duty repair shops, has announced its acquisition of Pitstop, an AI-powered predictive maintenance and fleet intelligence software that will be integrated into Fullbay. Pitstop’s AI-driven technology combines more than 10 years of repair data from Fullbay’s shop management software to deliver predictive maintenance solutions for fleets.

By combining Fullbay's repair data from more than 5,000 shops and $6.5 billion in annual service orders and parts with Pitstop's predictive AI technology, the new AI-powered maintenance module attempts to translate real-world service history into actionable maintenance intelligence. The result is a foundation for true predictive maintenance.

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“In our industry, operations are too often reactive, and the repair process can be inefficient due to unpredictability. When a truck breaks down – possibly in a situation unsafe for the driver and other motorists – the unit is towed, the problem is inspected, parts are ordered, the unit is fixed, and the process repeats,” said Trent Broberg, CEO of Fullbay. “This acquisition enables us to change that model by delivering predictive maintenance, real-time diagnostics, fault-code management, and automated fleet communication directly into Fullbay, revolutionizing the experience for fleets and heavy-duty repair.”

Through this acquisition and integration, Fullbay is addressing the gap between reactive repair and proactive maintenance with technology that:

  • Monitors units in real time and flags issues to shop staff before they turn into breakdowns

  • Automatically generates service requests from vehicle issues, including PMs, prioritized fault codes, and predictive alerts. 

  • Provides predictive insights based on return patterns.

  • Produces accurate unit health reports.

  • Accurately predicts parts demand so inventory is available before the job starts.

“Pitstop was built to help fleets move from ‘fix it when it fails’ to knowing what’s coming next and acting before downtime, cost, or safety risks hit,” said Shiva Bhardwaj, CEO and founder of Pitstop. “By integrating Pitstop’s AI-powered predictive technology with Fullbay's comprehensive platform, we can scale our impact across the industry while delivering the proactive, data-driven solutions that fleets desperately need to improve safety, reduce costs, and maximize uptime."

Beyond preventing breakdowns, the Pitstop technology helps fleets and internal maintenance teams reduce unplanned downtime and extend asset life, and independent shops better serve their fleet customers and build customer loyalty. By analyzing billions of data points to detect fault patterns and identify issues weeks before a breakdown, the Pitstop system delivers more than 94% accuracy in identifying potential failures.

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In addition to the acquisition, Fullbay has promoted Scott Gordon to Chief Product Officer from Vice President of Product. In this new role, he will oversee the expanded product portfolio and drive the company’s AI-first vision across the combined organization. As a SaaS product executive with extensive experience at Microsoft and Amazon prior to joining Fullbay in early 2024, Scott has a proven track record of transforming complex industry challenges into scalable software solutions.

"This acquisition represents an incredible opportunity to accelerate our mission of delivering customer-driven innovation at scale," said Gordon. "By combining our teams' expertise and technologies, we can build even more powerful solutions using traditional and AI-enabled innovation to truly move the needle for our customers."

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