Join leading companies like CarMax, Discount Tire, and Yamaha who are using Leverege to transform their real-world operations.
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Join leading companies like CarMax, Discount Tire, and Yamaha who are using Leverege to transform their real-world operations.
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Leading companies like CarMax have implemented AutoTrace to track hundreds of thousands of mobile assets, like vehicles and car keys, reducing costs and driving new revenue.
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Leading companies like TPI Composites rely on WorkWatch to improve production efficiency, security and safety with complete operational visibility.
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Leading companies like Discount Tire have implemented PitCrew in all their service centers to achieve maximum performance and throughput.
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Leading companies like Schnucks Markets have implemented ExpressLane wherever they have lines of people or vehicles, delighting customers with shorter wait times and faster service.
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Generic AI can't solve auto service bottlenecks. PitCrew is purpose-built to provide operational intelligence that boosts throughput.
Artificial intelligence and computer vision are rapidly transforming how businesses understand and optimize real-world operations. Cameras and Vision AI are increasingly essential to monitor workflows, measure performance, and surface operational insights.
But as adoption grows, an important distinction is emerging: not all AI solutions are designed the same way.
Many vendors approach operational intelligence with broad, general-purpose platforms that serve multiple industries and bolt-on AI as an afterthought. These tools often grew out of video security or generic video analytics, where cameras were initially deployed simply to record footage. AI turned those systems into potential sources of operational insight.
This evolution unlocked new possibilities—but it also created a strategic divide. One approach is to extend these platforms into broad analytics suites designed for as many uses as possible. The other is to go deep and build specifically for the operational realities of a single sector.
PitCrew is built on this second approach—a system designed from the ground up specifically for the workflows and throughput challenges of automotive service centers.
Automotive service centers illustrate the gap between generic video analytics tools and systems designed for real operational workflows. Operating more like high-throughput production environments than traditional retail locations, automotive service centers see vehicles move through defined service stages while technicians, bays, and equipment must remain tightly coordinated to maintain throughput.
In this setting, managers need constant visibility into particular, industry-specific operational signals such as:
Even small inefficiencies can ripple through the system. Idle bays, delayed technician handoffs, or stalled vehicle services can quickly cascade, reducing daily throughput and extending customer wait times, so sensitivity and accuracy are equally important.
While broad-based security systems may be able to detect vehicles or movement, interpreting what those signals actually mean inside a service center requires deep operational context. A car positioned in a certain location might represent active service, a free air pressure check — or a stalled workflow.
General-purpose video platforms often provide flexible tools but leave the burden of interpretation or setup to the customer. Operators must figure out how generic analytics translate into meaningful operational improvements.
PitCrew takes a different approach.
PitCrew is designed specifically around the environments and workflows it aims to optimize. Instead of serving many industries with one platform, PitCrew focuses deeply on a single operational domain: automotive service.
This vertical alignment simplifies adoption. The system is already framed in the language of the operator, and its analytics map directly to operational decisions.
PitCrew can monitor signals such as:
PitCrew is designed specifically for these environments, enabling service centers to track vehicles and service activity in real time. Instead of simply identifying objects in video footage, the system interprets operational patterns and surfaces insights tied directly to throughput and performance.
That is what allows service centers using PitCrew to increase daily invoice counts, reduce customer wait times, and shorten service durations by identifying and resolving bottlenecks as they occur: The data being collected is aligned with real operational outcomes.
Another key advantage of PitCrew is the data used to train its models.
General security platforms often rely on broad datasets designed for generic object detection. While flexible, these datasets rarely capture the specific workflows of automotive service environments.
PitCrew models are trained on proprietary data collected from real service center deployments, including:
This allows models to learn patterns that generic systems cannot replicate—recognizing operational signals and inefficiencies more accurately.
Over time, as more environments are analyzed, specialized models like those at work in PitCrew only become increasingly accurate and aligned with real service operations.
As AI adoption expands across physical operations, the difference between general-purpose video platforms with bolt-on AI capabilities and specialized, tailor-made solutions like PitCrew will become more pronounced.
In automotive service environments, even small operational improvements can have meaningful financial impact. Better visibility into bay utilization, service durations, customer wait times, queue abandonments, and technician activity enables service centers to identify bottlenecks and increase the number of vehicles serviced each day.
By turning existing camera infrastructure into real-time operational intelligence, PitCrew helps managers understand exactly how vehicles move through service bays and where delays are occurring. With these insights, service centers can increase throughput and capture additional capacity without adding staff or expanding facilities.
Vision AI is now following a pattern common in emerging technology markets: Early platforms emphasize technical breadth, but the solutions that scale are the ones that align closely with industry workflows and deliver clear operational value.
Curious what PitCrew could reveal about your service operations? Schedule a demo to see it in action.
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