How AI can help repair shops capture missed business
Key Highlights
- AI can assist with answering calls, collecting vehicle and customer information, and passing details to staff, freeing up technicians for repairs.
- Implementing AI for follow-up tasks like appointment reminders and feedback collection can improve customer retention and service quality.
- Small shops should focus on automating repetitive administrative tasks to maximize efficiency without replacing personal customer interactions.
- Starting AI adoption involves identifying pain points such as unanswered calls, duplicate data entry, and missed follow-ups to ensure practical benefits.
- AI tools are especially advantageous for independent shops and mobile operators, enabling quick implementation and immediate operational improvements.
Artificial intelligence (AI) is becoming an increasingly valuable tool in a technician's arsenal when it comes to diagnosing a vehicle or guiding repair procedures. Some of the more practical applications involve the administrative work surrounding a repair, including answering calls, collecting customer info, following up on estimates, and maintaining relationships with existing customers.
Edward Langer, founder of Heavy Duty Advertising, a Canadian marketing and technology company focused on automotive and heavy-duty repair businesses, said shops should start with repetitive tasks that consume time or create lost opportunities rather than adopting AI simply because it's trendy.
“The most valuable use of AI in a repair shop may not be teaching a technician how to turn a wrench,” Langer offered. “It may be taking administrative friction away from the people who already know how to turn the wrench.”
This is where these benefits are especially significant for independent shops.
"A large organization may have an IT department and a bigger technology budget, but it also has layers of systems, approvals and processes," Langer detailed. "A five-person independent shop or even a one-person mobile service operation can sometimes adopt a useful technology very quickly, and leverage this to their advantage."
The challenge, he said, is determining what is actually useful.
Langer has created an assessment for shops called the Repair Shop Growth Diagnostic, which he said is "essentially a high-level business health check designed specifically around independent repair operations."
The 11-point benchmarking tool looks across areas such as visibility and customer acquisition, lead capture, phone handling, reputation, follow-up, customer retention and operational workflow.
"Rather than assuming every shop has a marketing problem, we try to identify where the actual bottleneck is," he added.
This could be underutilized bays or an unattended front desk leading to missed calls and fewer customers.
Langer's background includes working summers at an independent diesel repair operation while in high school in the 1990s and driving commercially for a Pepsi distributor in northern Alberta. He later spent more than 12 years operating a traditional advertising agency before moving further into digital marketing, automation, and AI.
"When I think back to the small diesel shop where I worked as a teenager, the owner wasn't intimidated by fixing trucks," he noted. "That was the part he knew extremely well. It was everything surrounding the repair—paperwork, invoicing, parts, phones, scheduling, and keeping track of customers—that could consume his time."
And thirty years later, he said, many smaller shops and independent operators still deal with versions of those same problems.
Where AI fits in the shop
One potential application is handling customer calls when shop personnel are unavailable.
An AI-assisted receptionist can document a call, collect information about the vehicle and service need, and pass that information to a service advisor or technician. For a mobile repair operation, Langer said the intake process could also collect details such as the vehicle type, location, symptoms, and whether the vehicle is loaded before a service truck is dispatched.
The goal, he explained, is not to replace shop personnel but to give them better information before they engage with the customer.
Other applications include missed-call recovery, appointment reminders, estimate follow-up, and customer feedback.
“Getting the phone to ring is only the beginning,” Langer said. “What happens if nobody answers? What happens to the estimate that wasn't approved today? What happens after a CVIP, inspection or repair is completed?”
That can be particularly relevant for shops that already have a steady stream of customers but lack a consistent process for following up after a service.
Langer pointed to a mobile heavy-duty repair customer that also performs commercial vehicle inspections. The shop was already completing roughly 90 to 120 CVIPs per year, so finding customers was not the shop's main issue.
Instead, the opportunity was in what happened after the inspection.
Langer said the shop did not have a structured process for turning those inspection customers into ongoing repair and maintenance customers. A 10% conversion of the existing 90 to 120 inspections, for example, would represent roughly nine to 12 additional customers per year without acquiring additional leads.
Where to start
For indie shops, Langer said AI adoption should begin with identifying where time or opportunities are being lost.
That could mean unanswered calls, duplicate data entry, estimates that do not receive follow-up, or customers who do not hear from the shop again after a repair.
“How many calls go unanswered?” Langer said. “How much time is spent entering information twice? How many estimates never receive a follow-up?”
Those questions can help shops determine whether automation has a practical use case.
For technicians and shop owners, it's less about making things less personal and more about reducing the admin workload.
"A one-person mobile technician has the same 24 hours in a day as a large organization," he said. "If technology can answer a call while that technician is under a truck, collect the information needed for the next job and help maintain the customer relationship afterward, that's meaningful."
About the Author
Lucas RobertoLucas Roberto
Lucas Roberto is a Senior Staff Writer and producer of multimedia content for Fleet Maintenance magazine. He holds a bachelor's in media production and a master's in communication from High Point University in North Carolina.