Fullbay, a major provider of shop management systems for commercial repair facilities, has declared that it will be acquiring Pitstop, an AI-fleet intelligence platform. By adding Pitstop’s technology that can help predict vehicle maintenance through advanced analytics, Fullbay is making its platform a step closer to becoming a data-driven tool not only for heavy-duty repair shops but also for fleet operators.
By means of this tactical move Fullbay will be able to merge the more than ten years of breakdown data from its base with the super-intelligence of Pitstop. In that way a latest generation maintenance prediction tool was created which aids fleets to discover a place of mechanical failure in their vehicles even prior to the time when these issues lead to vehicle downtime, which in turn enhances the fleet’s safety, maximizes vehicle availability, and raises operational efficiency.
Unlocking Predictive Maintenance with Data and AI
By merging Fullbay’s extensive dataset-spanning more than 5,000 repair shops and $6.5 billion in annual service orders and parts-with Pitstop’s AI engine, the combined platform transforms historical service data into actionable insights. This new AI-powered module empowers fleets to proactively manage maintenance, reducing unexpected breakdowns and improving overall performance.
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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.”
Key Capabilities of the Integrated Platform
The combined solution bridges the gap between reactive repairs and proactive maintenance through advanced features, including:
Real-time monitoring of vehicle health with early issue detection
Automated service request generation based on diagnostics and predictive alerts
AI-driven insights based on historical return patterns
Comprehensive unit health reporting for better decision-making
Accurate parts demand forecasting to streamline inventory management
These capabilities enable repair shops and fleet managers to take a preventive approach, minimizing downtime and ensuring vehicles remain road-ready.
Driving Industry-Wide Impact
“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.”
In addition to preventing failures, the company’s technology uses the analysis of billions of data points to identify patterns of faults and predict potential issues weeks in advance. With an accuracy rate of over 94% in predicting failures, the company’s technology allows the fleet to move away from reactive maintenance and toward predictive and strategic planning.
Strengthening Product Leadership
In connection with the acquisition announcement, Fullbay has also named Scott Gordon as the company’s new Chief Product Officer, elevating him from his previous position of Vice President of Product. In this new position, Scott Gordon will oversee the company’s expanding product offerings and drive the company’s innovation strategy in the application of Artificial Intelligence. Scott has significant experience working in the technology sector with some of the largest and most well-known technology companies.
“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.”





