The Smartest First Move Dealers Can Make with AI

Where to Start with AI in Automotive Retail
The question came up in a quiet moment during an NCM 20 Group meeting recently. Not during a presentation or a vendor pitch, but in one of those side conversations where people tend to be more honest.
If you were a Dealer Principal again,” someone asked, “where would you start with AI?
It’s a fair question. Everywhere you look in this industry right now, AI is being positioned as the next big unlock. Smarter marketing. Faster lead response. Better closing rates. More efficiency across the board. The promises are everywhere.
But the question wasn’t “what’s possible with AI?” It was “where would you start?” That distinction matters. When you’ve actually sat in the chair, when you’ve lived with the responsibility of payroll, inventory, fixed costs, and customer retention, you learn quickly that not all improvements are created equal. Some look exciting but take forever to pay off. Others are quiet, almost unglamorous, but move the needle immediately.
My answer didn’t take long. If I were running a store again, I’d start with existing customers, specifically in the service drive. That usually surprises people. Most conversations about AI in automotive start in sales or marketing. That’s understandable. Sales is visible. Marketing feels controllable. They’re the places where growth stories are easiest to tell. But they’re not where the business teaches you the most about itself.
Service is.
The service department is the most honest part of a dealership. Every repair order tells a story. Every declined recommendation tells a story. Every missed appointment, every long gap between visits, every repeat issue reveals something about trust, value, and loyalty.
Sales is episodic. A customer might interact with the sales department every three to five years. Service is behavioral. Customers show up multiple times a year, year after year. They don’t just tell you what they want, they show you.
That difference matters when you’re talking about AI. Artificial intelligence doesn’t thrive on anecdotes or opinions. It learns from patterns, repetition, and feedback loops. The service drive provides all three in abundance.
When you apply AI to service data, you’re not asking it to predict rare events with limited context. You’re letting it learn from thousands of real interactions that already happened. It can see which customers are loyal and which are drifting. It can identify patterns that humans tend to miss because they’re too close to the day-to-day operations.
One of the most eye-opening things for dealers when they begin to analyze service behavior seriously is discovering who their most valuable customers actually are. Most dealerships think they know. In reality, they’re often working off assumptions: recent buyers, high-end vehicles, customers who are easy to deal with. AI doesn’t care about assumptions. It looks at lifetime behavior—frequency of visits, total spend, responsiveness, consistency, loyalty over time.
The picture that emerges is often very different from what the store expected. There are customers who never bought a new car from the dealership but have been servicing there for a decade. Customers who quietly generate far more lifetime value than the flashy deal from last month. Customers who are on the verge of leaving, not because they’re unhappy, but because no one noticed they stopped coming.
That’s where the real risk in a dealership lives. Most dealers worry about losing customers in the showroom. In reality, churn almost always begins in service. A missed expectation. A long wait. A poorly explained recommendation. A feeling that the experience no longer matches the price. Customers rarely announce their departure. They just stop showing up.
AI can see that happening long before it becomes obvious to a manager scanning reports. It can flag early warning signs and give the dealership a chance to respond while there’s still time.
Beyond retention, there’s another reason the service drive is such a powerful starting point. It is, quietly, one of the most effective sales engines in the dealership. Not in an aggressive way. In a contextual one. Service data reveals equity buildup, mileage thresholds, ownership duration, and repair cost inflection points. These are not sales triggers in the traditional sense—they’re readiness signals. Handled correctly, they don’t feel like selling. They feel like relevance. A conversation that starts because the timing is right, not because a quota needs to be hit, is fundamentally different. That’s how service “trickle-feeds” sales without damaging trust or experience.
There’s also a practical reason I’d start here if I were back in the chair. Service processes are more consistent than sales processes. Repair orders follow patterns. Intervals repeat. Outcomes are predictable. That consistency makes it easier for AI to learn quickly and accurately. Sales, by contrast, varies dramatically by person, mood, and moment. It’s a harder place to start if your goal is learning, not just automation. Once AI understands how customers behave in service, expanding into sales, inventory, and operations becomes far more effective. You’re building on a foundation, not guessing in the dark.
The final reason I’d start with service has less to do with technology and more to do with people. When AI helps advisors protect revenue, reduce friction, and improve customer outcomes, adoption happens naturally. There’s no fear of replacement. No resistance. No forced change. The technology earns its place by making work better. That kind of trust is hard to manufacture and easy to lose. Starting where it can be earned matters.
If I were a Dealer Principal again, I wouldn’t approach AI as a shiny new capability. I’d approach it as a learning system that I would collaborate with daily. I’d let it learn my customers before asking it to change my business. I’d focus on retention before conquest. I’d protect the revenue I already earned before chasing the revenue I hoped to earn.
AI isn’t magic. It’s leverage. And leverage only works when it’s applied in the right order.
For dealers serious about long-term value, the service drive isn’t just the best place to start with AI. It’s the smartest one.

Chrome to Code
with Todd Smith
Todd Smith is the CEO of QoreAI, where his expertise lies at the intersection of AI and automotive, focusing on fraud prevention and data security. With over 30 years in retail, tech, and automotive, Todd has successfully founded and grown multiple startups, including companies recognized by Inc. 500/5000 and Red Herring Top 100. As Managing Director of Kyzor, he invests in and mentors promising automotive tech ventures. Todd's practical application of AI to address identity fraud and enhance dealership data protection has established him as a respected industry voice. His insights on automotive technology and security are frequently sought at major industry events.
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