Examples & Use Cases of AI in the Automotive Industry

You've heard the buzz about AI in automotive. Maybe you've seen it on a trade show slide or caught a webinar about it. But, AI isn't some far-off future for dealerships anymore. It's happening right now, on real showroom floors, inside real CRMs, at stores just like yours. And the dealers who've made the leap? They're not looking back.

What follows are real examples and use cases from dealer leaders who turned on AI and watched it change how they move metal. These are their words, their numbers, and their take on what it means for your store.

Use Case: Engagement-Driven CRM – From Task Lists to Real Conversations

The old way of working the CRM was painful. Log in, scroll through your task list, make the calls, send the emails, check the boxes. Rinse and repeat. It burned your team out, and half the time they were chasing people who didn't even want to talk. That's not selling cars. That's just busywork.

Joshua Fichter, General Manager at Five Star Ford, lived that grind for years before switching to an engagement-driven model. The difference? Night and day.

"In the old CRM, I am working through tasks trying to figure out who wants to talk to me, who's engaged. In DriveCentric, the engagement is evident. The customer who's talking back to me is right there. It was a fundamental change — we went from 'how many tasks do I have to complete today' to 'how many customers want to talk to me.'"

– Joshua Fichter, General Manager, Five Star Ford (Video: NADA 2026 Panel, 2:10)

Think about what that shift does to the energy on your floor. Your salespeople stop dreading the task list and start responding to customers who actually want to engage. Your managers can see those live conversations, jump in when it makes sense, and coach in real time. The CRM stops being a chore and starts being the heartbeat of your store. And for your younger salespeople – the ones who grew up texting and messaging – this engagement model is second nature. They don't need to be trained on it. It's how they already communicate.

Use Case: After-Hours Lead Response – AI That Never Clocks Out

Here's something every dealer knows but most CRMs ignore: your customers don't shop 9 to 5. They're browsing inventory at midnight, submitting leads at 2 AM, and expecting a response when they're ready (not when your BDC clocks in the next morning).

Before AI, those after-hours ups went cold overnight. By the time someone followed up the next day, the customer had already moved on or submitted a lead at three other stores. Now? Every single inquiry gets an immediate, thoughtful response no matter the hour. And the results speak for themselves. When Five Star Ford first turned on AI, something interesting happened.

"When we first turned on AI, we were getting complaints from salespeople that people were texting the dealership at two o'clock in the morning. It wasn't that they had just started texting at two in the morning. What happened is the AI was now answering those people, where before they were going unanswered."

– Joshua Fichter, General Manager, Five Star Ford (Video: NADA 2026 Panel, 9:55)

No more missed opportunities at midnight. No more ghosted leads because nobody was around to pick up the phone. AI doesn't sleep, and that means your pipeline doesn't either.

Use Case: Speed to Lead – Instant Response on Every Channel

You've heard it a thousand times: the faster you respond, the more likely you are to win the deal. Every study confirms it. But getting your team to respond in under five minutes to every single lead, every single time? That's tough when you've got walk-ins on the lot, phones ringing, and a sales meeting at 9. AI makes it automatic.

When a customer reaches out – any time, any channel – AI responds instantly with personalized, contextual information. Not a canned auto-reply. A real, relevant response that references the vehicle they were looking at, the payment range they explored, and the trade they might have. It moves the conversation forward before your competition even picks up the phone.

At Riverhead Ford and Riverhead GMC, Internet Director Zach Casso watched AI completely change how his team operates. Instead of his salespeople spending their mornings buried in follow-up tasks, AI handles that initial engagement, qualifies interest, and tees up appointments. His team just shows up and sells.

"AI is the point guard and the power forward. The point guard facilitates, sets things up, passes it off. The power forward does all the stuff we don't want to do. The shooting guard – that's your salespeople. They're the ones who go out and build relationships and sell cars."

– Zach Casso, Internet Director, Riverhead Ford / Riverhead GMC (Video: Automotive News AI Webinar, 8:24)

The scoreboard at Riverhead tells the story: a 21% year-over-year sales increase at the Ford store, roughly 9% at GMC. That made them the largest-growth Ford store on Long Island and second in the region – over 120 additional units. (Source: Automotive News AI Webinar, 30:26)

Use Case: Lead Reanimation – Bringing Dead Deals Back to Life

Every dealership has them. Aged leads, dead deals, orphan customers who stopped responding months ago. They're just sitting in your CRM, collecting dust. Traditionally, nobody touches them. Your salespeople have fresh ups to work and your BDC is focused on the hot leads. Those old names? They're "dead." But are they really?

AI doesn't think so. Through lead reanimation, AI reaches into your database, re-engages those customers you gave up on, and starts real conversations. Sometimes a customer who went dark six months ago just bought a car somewhere else. But sometimes they didn't, and they're ready to talk again. At Capitol Toyota, BDC Manager Denny Eubank ran a 120-day study on exactly this.

At Premier Automotive, the results were just as impressive. They had about 64,000 people in their database and turned AI loose on the old, unworked leads. The result? They sold 20 additional vehicles in 30 days and grossed over $20,000, just from AI-driven campaigns (Source: Women in Auto AI Webinar, 10:24). All from customers who were already sitting in the 

CRM, marked dead or fallen off the follow-up list.

Here's what makes this so powerful: you're not spending a single extra advertising dollar. You're mining the goldmine that already exists inside your own data. Those aged leads aren't dead,  they just needed someone (or something) to pick up the conversation.

Use Case: Personalized AI Communication – Conversations That Feel Human

One of the biggest concerns dealers have about AI is that it'll feel robotic. Nobody wants a customer getting some stiff, canned response that screams "this is a bot." The good news? That's not what's happening here.

Modern AI reads the context of every conversation. It references specific vehicles the customer is interested in, pulls in personal details from their record, and responds with a tone that feels natural. It can handle objections, answer detailed questions about trim levels and availability, and even pick up on emotional cues. Joshua Fichter shared a story that really drives this home. A woman submitted a heartfelt email explaining her life circumstances and why she should win the dealership's monthly car giveaway. The AI's response blew the whole team away.

"There's not anybody in this dealership that could have responded this well to this customer with this much empathy and care. The AI is more than just a computer answering a question. It really does learn and talk and engage customers like a real person would."

– Joshua Fichter, General Manager, Five Star Ford (Video: NADA 2026 Panel, 12:46)

Dealers across the board have given their AI assistants names that fit their brand. Riverhead Ford has "Shelby River," a nod to the Shelby name for a Ford store in Riverhead (33:08). 

Capitol Toyota has "Emily." A customer once flew in from Tennessee with flowers for her (38:31). 

Premier Automotive uses different names for each store, tailored to the local market. Customers engage naturally because the conversation feels human, not transactional.

Use Case: AI-Powered Database Marketing – No More Spray and Pray

If you're still blasting 5,000 generic emails and hoping for a handful of clicks, there's a better way. AI-powered database marketing replaces the old spray-and-pray approach with personalized, one-to-one outreach at scale.

At DriveCentric, this now takes shape through two distinct AI agents: Prospect Agent and Nurture Agent.

Prospect Agent focuses on identifying hidden opportunities already sitting in your database. It continuously mines past customers and inactive leads to surface people who are quietly back in market – whether that’s driven by equity position, timing cycles, or renewed browsing behavior. Instead of waiting for hand-raisers, it proactively starts relevant conversations with the right customers at the right moment.

Nurture Agent, on the other hand, acts more like a lifecycle and retention manager. It ensures that customers never go cold by maintaining ongoing, natural touchpoints – think birthday messages, purchase anniversaries, service reminders, and check-ins that actually feel human. The goal isn’t just activity. It’s sustained, warm relationships over time.

Together, these agents replace one-size-fits-all campaigns with individualized outreach based on what’s actually happening in each customer’s world. And that shift matters. Industry research shows that roughly 40% of dealership database records are outdated, with email data decaying at about 2.5% per month. Instead of letting that data degrade, AI-driven conversations help re-establish contact and prompt customers to update their own information organically.

Denny Eubank at Capitol Toyota saw the difference firsthand (Automotive News AI Webinar, 15:27). Customers reached through these AI-driven conversations respond at dramatically higher rates because the outreach feels personal and timely. They share updated information, mention new vehicles they’ve purchased, schedule service appointments, and re-engage with the dealership – all because the message feels like it was written just for them.

Use Case: Cross-Department AI – One CRM for Your Whole Store

AI's impact doesn't stop at the sales desk. Dealerships using AI inside their CRM are seeing results across every department. Service campaigns target orphan owners and recall customers. Equity mining identifies service customers who are in the best position to trade. Think of that customer who's been coming in for oil changes for three years and now has positive equity in their vehicle.

BDC teams are handling way more volume, going from 150–175 leads per rep up to 250–300 (Source: Buzzword to Bottom Line, 45:07). Because AI takes on the initial engagement and qualification, your people can focus on the conversations that actually close deals.

Cole Franklin, COO of Franklin Motor Co., pointed out how AI breaks down the walls between departments (Buzzword to Bottom Line, 8:22). When sales, service, F&I, and your title team all operate in the same CRM with shared visibility, everything flows. A salesperson doesn't have to re-explain a deal. Service advisors see the full customer history. F&I picks up right where the conversation left off. No more silos, no more dropped handoffs. And when AI surfaces an unhappy customer from a service interaction, that's not a problem – it's a retention opportunity your team can act on before that customer walks into your competitor's store.

What Dealers Who've Done It Want You to Know

If you're still on the fence about AI, here's some straight talk from dealers who've already made the jump.

Joshua Fichter's advice (NADA 2026 Panel, 16:07)? Start with a simple exercise. Make a list of every vendor you're paying right now and what they do. Then sit down and figure out which of those tools AI and a modern CRM can consolidate or replace. You'll probably save money and get better results at the same time.

Zach Casso, who admits he was "overly skeptical" at first (46:20), now invites anyone to reach out and look at his actual numbers.

Denny Eubank, who went multiple rounds with DriveCentric before buying in, says the AI now deserves the same respect his BDC team fought to earn – because it's generating the same kind of measurable results.

And Mallerie from Premier Automotive put it best (Women in Auto AI Webinar, 9:09): even when the AI makes an occasional mistake, it's still friendlier, faster, and more consistent than your least motivated salesperson on their worst day. The key is to manage it, refine it, and let it do what it does best – engage customers at a speed and scale that no human team can match on their own.

The Bottom Line

AI isn't here to replace your people. It's here to make them better. It lets your salespeople focus on selling, your BDC reps have real conversations instead of grinding through tasks, and your managers coach from a position of real data instead of gut feelings.

The dealerships in this article – Five Star Ford, Riverhead, Capitol Toyota, Premier Automotive, Franklin Motor Co. – are proof that AI delivers real, measurable, bottom-line results when you implement it with intention and manage it like you would any high performer on your team.

The question isn't whether AI works in automotive retail. It does. The real question is: how much longer can your store afford to go without it?