You'd be shocked at how often we have countless anecdotes where people are asking, can I speak to Mia? She was so amazing. And it turns out Mia was actually, you know, the AI that they were conversing with. The future of conversational AI for car dealerships is being developed in Georgia, but not the Georgia you're thinking of. And it's already making a huge impact on how cars get sold here in America. Today I'm speaking with Devin Daley, CEO of Impel, a digital engagement platform that helps dealers communicate with customers using artificial intelligence. We discuss raising $130 million to create the next generation of automotive chat bots. What inspired the company's early pivot from the fashion industry into the automotive world? The challenge of training chat GPT to tell the truth and much more.
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So start of my career in sort of traditional Wall Street fashion, started at Merrill Lynch and their technology, M&A Division, did this sort of traditional two-year stint there and then moved into a private equity role in a company called Cambridge Associates. And I was on their vertical software team investing in vertical software as a service business is. Really fell in love with the model of SaaS and that it was predictable, the operating leverage that you're able to gain in a software as a service business. And when I came up with the idea for what became impel is we had invested in a bunch of what I would call e-commerce enablement products. So we invested in like a recommendation engine for e-commerce. We invested in a chat product for e-commerce. And what I realized was these e-commerce enablement products had really fast growth, great CSI scores, great gross retention rates, all the levers or KPIs you look for were stronger within that subset of our portfolio.
When I started to peel back the onion to understand why that was, it was because they had such a demonstrable ROI case. If you're a chat product that plugs into Louis Vuitton, you can do the algebra that you took their conversion rate from 2% to 2.4% and that yielded Louis Vuitton 100,000 gross profit, for instance. So that's what we really, that's when we started racking our brain for what's the next thing in this e-commerce evolution and came up with 360 imaging, immersive 360 views of products for a tried and true way to improve e-commerce conversion, but there wasn't really an out-of-the-box solution to do that at scale. So that's what we set out to do initially targeting the fashion industry. Oh, so you were going fashion first. Now, what led you to taking this to automotive? Like, where did you, when did you discover that opportunity?
Yeah, great question. So we launched the business focused on fashion in 2014. We were based in Manhattan at the time. And I hired a gentleman from Reynolds and Reynolds, obviously one of the large automotive incumbent vendors. And when he changed his LinkedIn, I heard him work on a fashion business. But when he changed his LinkedIn profile, one of his dealer customers reached out to him and said, I see what you guys are doing in fashion. Is it possible that you can do this for cars? And I remember it like it was yesterday. It was St. Patrick's Day 2015. He and I went out to this guy's dealership. And 13 minutes later, the guy signed a contract for the highest contract value in the company's history for his dealership group, sort of centered in the Northeast. And you juxtapose that with selling into fashion where you've got four different ad agencies vying for their own interest before you make a change for Louis Vuitton's website. And we kind of knew we were onto something. We straddled both industries for six months and then in late 2015, decided to focus purely on automotive. Incredible.
So, and then what was that initial insight, right? So you build this spin car tool at the time, right? Carvana had this already, if I remember correctly. And I remember very vividly, right? I didn't set up Getta Caria till the 2018, but I just remember very vividly doing research under booths. And I mean, Carvana's booths were no cheap thing. I mean, they spent hundreds of thousands on these booths. It was just really, really custom made. And so for you, when was that point for you? Did you reach that point when you were like, wow, this is a really, really big opportunity here. Arguably, you can arm the rebels, quote unquote, right? To let dealers sort of have the same type of experience or on a vehicle detail page on their website as a Carvana. When was that for you?
Yeah, yeah, great question. So again, we initially launched in fashion. So we weren't super aware of Carvana once we started pivoting into automotive and started signing up dealers, we became aware. And you're exactly right. I think it was like $750,000 for each of those Carvana booth installations. And that was our whole thesis, right? Is we want to democratize this type of technology and this type of experience to every mom and pop dealer, as the auto industry is sort of on the precipice of this kind of e-commerce evolution, if you will. So that was kind of in that mid-2015 timeframe. And I think that's what made us realize we should focus purely on automotive and that it's a massive industry. And it was one of the last sectors to really experience full kind of e-commerce transformation.
In terms of entrepreneurship in general, was this like a bizarre kind of world for you? I mean, did you come from an entrepreneurial family? You were clearly in investment banking so this is obviously a shift. So what was that shift like for you? Certainly didn't come from an entrepreneurial family, came from a family of risk-averse medical professionals and to your point, I was on that Wall Street path of as they call it, the adage was seven figures in seven years. So when I struck out to start my own company, people thought I was crazy. That said, I always felt like I wanted to move faster than my career was allowing and make an impact. And it was held back a little bit by the administration bureaucracy of working large financial institution. So 2014 is when I decided to strike out of my own.
So now take us through the evolution of your company. Because again, I see your name, your company, and I still think of Spincar because that's just what I was familiar with early on in the dealership days. I just remember using this. So today you do a lot more. Walk us, before we get into the business, I wanna understand the evolution of your company as an entrepreneur, right? From being just a car, kind of spin software for dealers so that people can get that carbon experience to everything you do today, which we'll get into. Tell us about that evolution. Yeah, absolutely.
So again, started in fashion in kinda 2014, March of 2015, sold an onboard of our first dealership, Q4 of 15. We started letting our retail contracts expire. That's when we rebranded the company to Spincar and we were fully focused on the auto industry at that point. To your point, the initial product line was really focused on just merchandising the vehicle and again, providing that virtual, immersive tour of a vehicle.
We realized the second pain point was related to feature and F&I and option merchandising and that vehicles are increasingly complex. It's increasingly difficult for somebody to understand the BMW, cruise control versus lane keeping assist on the Mercedes. And so we built out products that helped merchandise features as well as F&I solutions on a dealer's website.
It was at that time that I think we realized we have this very valuable data exhaust coming out of our merchandising products. Again, because we deliver that rich viewing experience, it allows us to glean information about maybe Devin's a performance buyer because he clicked on the engine hotspot photo 17 times and the turbocharger video nine times. Interesting performance specs. Okay. And then that data is then used to custom tailor our AI responses. So that was really when we sort of came up with this AI thesis as we realized this exhaust data can power kind of next level personalization. And so came up with this thesis around artificial intelligence in the auto industry and we did two acquisitions in that space long before the hype of GPT. And that's really I think shifted the center of gravity of the business towards AI.
That is very interesting and I never considered that. So tell us more about that, right? You are, you're able to see of course the hotspots. How have you used that information? Like how are dealers in the industry? How is it using that information? The first real use case of that data is in retargeting ad units. So that was the first kind of activation is, you know, if you see and Devin are looking at the same five series in Devin exhibit a performance centric behavior, like I just described, whereas Yossi clicks on safety features like the overhead airbag feature or the IHS safety rating sheet. If we leave the site and we are then retargeted with that same five series, there would be an additional level of tailoring. So I would get performance centric creative that might have 455 horsepower highlighted within the ad unit, whereas Yossi may get, you know, the IHS safety rating embedded into that ad unit. We find by adding that additional level of tailoring, click through rates are increased pretty dramatically.
Over the last couple of years, we've started also activating that through our AI communication platform. So same exact situation. If I look at performance centric features, Yossi looks at safety centric features. If we both submit leads or we engage with an AI based chat bot in that site asking, you know, is this vehicle available? The AI will respond confirming availability of that vehicle, but it will also then, you know, maybe inject something about performance or safety. Yes, the five series available. By the way, did you happen to notice this is the M package with 455 horsepower, for instance.
So do you think that, do you think that today with your technology and generally speaking, where are industries headed? Do you think that dealers can really match that carvana, like, you know, merchandising experience online? Do you like, where are the biggest gaps? How do you think about that? Yeah, we do. Now with the advances that have happened and with computer vision and artificial intelligence background improvement and, you know, 3D backgrounding and things of that nature, absolutely. We recently launched a product called Virtual Booth that is designed to do exactly that, which is allow a dealership to shoot in various conditions outside on their lot. And then artificial intelligence and computer vision does all of that improvement, adjusts the sharpness, brightness of the vehicle, as well as does image segmentation to remove the background in and of enhance booth-like experience, absolutely.
I wanna take a step back. You're offering various merchandising products, but what are in general, like, where's your company headed, right, what are you offering today? And then when you think about the evolution of the car dealership, right, what are you building in order to help car dealers keep evolving? Yeah, so merchandising is still a huge part of our business. And again, that's really focused on providing an immersive online experience that, you know, inspires confidence and trust remotely before somebody actually physically enters the dealership. So again, that's still, you know, the strong majority of our business. That said, over the last couple of years, we've done two acquisitions in the artificial intelligence space and have built out several additional AI activations. I think fundamentally, you know, our thesis is that dealerships today are massively human capital intensive. You know, the average main street mom and pop dealership has 150 employees, for instance.
And, you know, it's our belief that given margin pressure, you know, given OEM starting to go direct consumer, rising interest rates, new entrants and channels in the market, then over the next three to five years, we will see dealerships become less human capital intensive and more AI and automation enabled. And really our vision or what we're building towards is AI managing the entire lifecycle from selling the vehicle to doing AI, CSI surveying to, you know, selling F and I and accessory products post purchase to continuing to get somebody back into service their vehicle and build that bond of service loyalty. And then eventually using AI to actually acquire that vehicle, no one somebody's likely to sell that vehicle back based on, you know, driving habits or DMS data.
You seem to have a pretty strong opinion here, right? That AI will sort of infiltrate, will infiltrate every part of the sales process. And so how do you respond to the people that say, no, I want to talk to a human, I don't want, you know, to deal with a robot when I'm making the arguably the second largest purchase I'm going to be making in my lifetime, after home, of course. Yeah, of course. Yeah, I would say that people need to really have a hard look at the conversation quality that large language models have unlocked. You know, I think a lot of that thinking is probably anchored around, you know, five or seven year old AI experiences, the conversation quality with LLMs is an order of magnitude better than, you know, what we saw three, four, five years ago.
And, you know, we've got countless examples wherein, you know, we compare an actual BDC wrap or sales person at the dealership compared to an AI generated response. And, you know, in a lot of cases, a BDC wrap is not following OEM guidelines, you know, they may not use the customer's first name, they may not thank them for interest in the vehicle, or, God forbid, you know, they're making typos or grammatical errors. AI doesn't do that, it will follow templates perfectly, all these spells complex OEM features accurately. And yeah, so I think my answer there is, you know, LLMs and AI have come up really long way in the conversation quality in the vast majority of cases is actually superior to human.
What dealership roles do you think are most at risk? I don't think we really view it as what roles are at risk. I think what we really think the role of AI is is giving a dealership the ability to offload those menial, repetitive tasks and allowing humans to focus on high value activities, like, you know, being on the phone, building relationships. Let AI do the drudgery of, you know, sending the car facts before or sending interior photos or, you know, answering questions about features and let your BDC team, your sales will be on the phone, you know, building that relationship, building that rapport. So that's really how we view it. Yeah, I saw a good quote. It was like, you won't be replaced by AI. You'll be replaced by someone that's using AI, by a human that's using AI, and is simply more efficient and effective. So I like that.
Yeah, I think that's it, right? You know, we think generally, you know, role types might change and, you know, yes, you know, sales reps will be working alongside AI models, but we don't view it as, you know, you can kind of get rid of, you know, half your sales team or anything like that.
So from what you're seeing so far with, you know, your customers, your business, how are consumers reacting to this? Like, generally speaking, what is the sentiment with consumers? Are they, you know, I mentioned like, you know, some of the kind of, you know, the naysayers or, you know, the devil's advocate, you know, people saying, oh, I want to talk to our robot, great. But from a consumer perspective, what are you seeing?
Yeah, from consumer perspective, I think they generally really appreciate the AI, you know, if you think about what the traditional sales experience is like, if somebody's submit to lead after hours, which is, you know, probably 55% of total lead volume, the average experience is that consumer is not responded to for 12, 14, 16 hours. And that's in an age when, you know, consumers are used to having access to everything at their fingertips.
With AI, they're responded to immediately 24 hours a day to get their questions answered. On the service side of the business also, you'd be surprised how many people actually thank the AI for proactively reaching out to them, letting them know that they're probably due for, you know, a routine maintenance 30,000 mile service, for instance. They view it almost as, you know, kind of a service concierge, if you will.
They're always, you know, the AI is always in touch with them. They know they're doing what's right with the vehicle and they're generally appreciative of that. In regards to, you know, just quality of conversation, you'd be shocked at how often we have countless anecdotes where people are asking, you know, can I speak to Mia? She was so amazing. And it turns out Mia was actually, you know, the AI that they were conversing with.
Shut up. Yeah, consumer's general. Generally, really appreciate it. Is that the name of your agent, Mia? The newest and Senate, yeah, they can set it to whatever they'd like. They can set it. That seems to be a common one, probably, you know, it's got AI in the name or what have you. And they can set that up however they'd like.
Have you had any issues with confinement or just, you know, kind of keeping the agent on the right track? It's a great question. You know, we get asked all the time by OEMs and major dealer groups, oh, you know, chat GPT is available. Can I just, you know, plug that into my website? And our response is, you know, vehemently, we would not recommend that, you know, GPT unbridled will flatly lie about your business, which could have, you know, catastrophic reputational ramifications, number one.
Number two, you know, an off the shelf, LLM, is not typically really designed to drive business outcomes. It's designed to be kind of a novelty and have a back and forth conversation. It's real goal is to elicit a response and have the highest response and engage the rate possible. It's almost flirtatious in that way, if you will. It, again, doesn't drive for its business outcomes.
So we believe it's really critical to have an optimization layer. That's trained on automotive specific data, you know, that prevents those hallucinations and drives towards appointments or lead generation or whatever those business goals are. So dig in one level deeper there, right? Because how are you doing that then? If it's not just, you know, chat GPT, how are you doing this?
I take generally, you know, our solution, RAI suite is purpose built for automotive retailing. So we use a variety of different models for model agnostic and use a kind of proprietary mix of our own homegrown models as well as foundational LLMs. We're constantly training our model via our own enhancements, prompt engineering and really fine-tuning based on more than six years of auto industry customer interactions and over a hundred million conversations.
And, you know, really what we focus on is providing a tailored and customized platform, you know, for automotive retailing that, you know, again, prevents hallucinations and drives towards business outcomes. When you, so you mentioned business outcomes. What do you think is going to be the best application for AI, generally? It's funny, like we're talking about, so like AI in the dealership, you know, go back a decade ago, even five years ago, it was like, well, maybe not five, but maybe a decade ago, like what, right?
The dealership, you know, has this like stigma as, you know, not being the most technologically advanced industry and whatnot and here we are. And so what do you think will be the best application as you kind of see this through? Yeah, I think fundamentally, you know, it's conversational AI, both from a chat standpoint, but also an asynchronous SMS and email response tool that's designed to number one, answer questions.
So, you know, again, our AI models can answer somewhere around 11,000 different intents, answer to 11,000 different intents. So it can answer questions about features, the car facts, interior photos. And if you really think about how long that would take a human being to respond to one of those inquiries, you know, it's probably an average of three to five minutes by the time you, you know, go find the VDP page, download the interior photos, attach them to an email and then send that out. So I think number one is generally answering questions.
Number two is, you know, long-term follow-up. I think that applies to both sales as well as service from the sales side of the business. There's a high percentage of customers that are just in the market for a protracted period of time and not for bad reason. You know, they get maybe, you know, they submit a lead and then they get busy at work or they go on vacation or what have you. Most dealerships don't have the ability to follow up with somebody for more than, you know, three or four days with AI. It will follow up relentlessly for 51 days and stay engaged and keep, excuse me, keep that dealership top of mind when that consumer resurfaces right at the buy.
I think the main goal of this is really driving towards an appointment, whether that's a sales appointment or a service appointment. Again, with AI, you can set an appointment directly in the CRM system, push a calendar, invite out to the consumer.
That's one thing dealerships love is, again, with 55% of leads coming in overnight, a lot of mornings they'll walk in and they'll have several appointments that were made completely hands-off by the AI during closure period. That's incredible. So when you say, so you're saying driving towards appointments, where are you seeing right now the biggest impact being made? With your, you know, the way you're partnering with dealerships and your technology, what is making would you say the biggest impact? And again, you can define biggest as, you know, the biggest delta from prior performance, whether it be profitability or customer experience, but I'm curious to know like where are you kind of seeing, you know, the movers and shakers here.
Yeah, I mean, I think on the sales side of the business, we're seeing around a 20 to 30% lift in appointment sat rate, meaning, you know, leads divided by appointments will increase that by roughly 20 or 30%. And a big reason for that is with AI, we're touching each lead four times more than without using AI, meaning the outreach where we're doing text and email with AI is creating four times the number of touch points. On the service side of the business, we're seeing a huge amount of incremental RO volume.
It's an average of around $45,000 per month in incremental, sort of comparing before versus after adopting service AI of incremental RO volume. One sort of tangential benefit we didn't necessarily expect going into this is because we're doing proactive service outreach, we're also seeing on average roughly a 30% reduction in inbound service phone call volume, which we all know is a massive problem in the industry with most service calls going.
The worst, the worst. Yeah, you call into the dealership service. You can never get in touch with anyone. The bad customer experience, you know, you spend $50,000 on a Lexus or whatever, and you try to call in for your first or second service, and they don't answer. So yeah, AI can play a critical role in doing that pro act of outreach and allowing somebody to schedule completely online.
Yeah, I mean, I think it's gotten a little bit better, but it's definitely one of the biggest pain points. Dude, you know what I wanted to ask you? I didn't want to cut you off as you were explaining earlier, but I had no idea that I'm looking, I just looked you up on Crunchbase. You guys raised $130 million.
Yeah, yep. So we originally mostly bootstrapped the business. And then in 2018, we raised a growth equity round with a group called Wavecrest Growth Partners. That was a $22 million growth equity round. And then in January of 2023, we raised $104 million round with Silversmith Capital Partners. Silversmith, we're also lead investors in dealer.com. So yeah, a total of roughly 130. That's amazing. So you guys are clearly well funded. Because the follow up question I was going to have for you was, you mentioned you made a couple acquisitions over the past couple of years. And I was going to ask you how you funded that, and what are these acquisitions that you made?
是的,是的。所以我们最初大部分是靠自给自足来发展业务的。然后在2018年,我们与Wavecrest Growth Partners这个团队进行了一轮增长股权融资。那次融资达到了2,200万美元。然后在2023年1月,我们与Silversmith Capital Partners完成了1.04亿美元的融资。Silversmith也是dealer.com的主要投资方。所以总共大约是1.3亿。这太棒了。所以你们显然是有充足资金支持的。因为我接下来要问的问题是,你提到过去几年进行了几次收购。我本来想问的是,你们是如何资助这些收购的,以及你们收购了哪些企业?
Yeah, so in May of 2021, we acquired a business out of the Republic of Georgia that was previously known as Pulsar. That is now what we've converted or rebranded as our sales AI product. Really? How did you find a business in the Republic of Georgia? How did this happen? Yep. We came up with this AI thesis. We're always talking to our dealer council about what are the highest ROI products, what are the companies that we should look at partnering or inter-rating with or potentially acquiring. And so we jogged this AI thesis by them. And some of them had used competitors. They'd used a conversion car, companies like that. One guy in the room said, I've tried them all.
We believe in this AI category. And there's this company called Pulsar based on their Republic of Georgia. Their AI is 10x more intelligent than anything else that we've found. So the middle of COVID by co-founder and I flew out to the Republic of Georgia when there were still curfews going on. And we had to be home by six o'clock at night. It was very difficult to even travel into the country but loved the team and really were blown away by the technology. We've grown that team over there from 25 or 30 at the time of acquisition. It's now around 75 people, most are PhDs. Just amazing AI technologists.
Yeah, it's funny. It's so random. It feels like it kind of came out of nowhere Republic of Georgia. But that's cool that you actually execute on that. Did you go into this having an inquisitive mindset? Because founders typically, not always, but it's a bit of a transition process. Granted, you were investment banking background. So did that sort of give you that drive to think about acquisitions and where potentially a bolt on or another company can help you accelerate your growth? Yeah, I think so. And again, stepping into a different category, right? We had not done much with artificial intelligence.
So would we have acquired a merchandising product? Probably not because we had the in-house competency to build that. But when we're extending into a completely novel, new category with different technology stacks and infrastructure, it certainly made sense. That said, we have a very high bar when it comes to acquisitions. I think there's lots of well-funded companies like mine. And they try to buy anything in their segment and slam these companies together and find as much G&A synergy as possible. And that's really not been our model.
Again, we will only buy something. If we really think it completes that or gets us closer to that north star of using AI to manage the entire customer lifecycle and personalize touchpoints throughout the ownership journey. So we're clearly making lots of progress here as an industry. I've had lots of conversations about this topic and working technology, truly delivering this next level experience. I love how Doug Iro mentioned this on our one of my previous podcasts, president of Longo, Toyota.
And he said, look, for me, he's like, I just care about what business problem do I have and how can I solve it? And if AI or technology is that solution, then so be it. When you see the continuously evolving nature here of AI playing into the dealership, right? What is the end game? What does that look like? And where are we headed, ultimately? Yeah, I think it touches on what we talked about earlier, which is AI managing that entire customer lifecycle and doing all asynchronous or chat-based communications for a dealership from again sales, Daffanion accessories to service and eventually vehicle acquisition. And again, really what we believe is that will not only help a dealership maximize consumer lifetime value, but really will have second order benefits reputationally and from a customer experience standpoint.
If you think about the average customer experience today to your point, they make the second largest purchase of their life, they fall in love with their salesperson, they buy a vehicle, chances are they never hear from that dealership again, or if they do, it's just kind of an HTML marketing email, very non-personalized versus with AI. Yeah, no one said email, no one said that email. Yeah, exactly. It was AI, you've got Mia reaching out to you constantly reminding you about service, checking in with you as your big lifecycle going again, just from a customer experience standpoint, we believe it's materially better though what most dealerships do today. Based on your data and your insight, where are you seeing customers the most frustrated with the dealership experience? I think it's generally it's canned messaging and responses, it's inconsistency in regards to timeliness or the thoroughness or accuracy of answers, again, lacking personalization, almost tone-deaf to customer needs with kind of generic invitations to come to the dealership and test drive and like we talked about a second ago, the outbound is often generic offers, impersonal messages, kind of lowest common denominator messaging, whereas with AI again, you've got perfect one-to-one personalization in Taylor.
When you think about dealerships doing this at scale, and when I made that scale, I mean just a couple years out from today, is this ultimately, right? So we know that it makes dealerships more efficient, but I think what we don't know yet is, how does it work with licensing, right? Like how is that gonna evolve? And when I say licensing, right, the data has to come from somewhere and you have to pay for that data. So what will we be in the situation as an industry? Do you think where we're gonna get into some like licensing issues where it actually ends up being more cost prohibitive because you have to pay for this data and then that kind of cancels out the added benefits? Have you thought about that? Yeah, I mean, I would say fundamentally, I think to your point, we're just scratching the surface of what an AI-enabled business world and society will look like in the next three to five years and what we can achieve. We believe that the advent of large language models are really on par with the invention of the personal computer. In regards to licensing, I think one thing people don't necessarily realize about working with a company like GPT is if you expose that to your own training data or CRM conversations, it becomes a part of the public domain for that specific model, which again is why we've taken the approach of kind of siloing off our own open source versions of models that we then can train with our 100 million conversations.
So in terms of how cost prohibitive it will be, I think we've seen nothing but things getting cheaper, like OpenAI initially came to market at, let's call whatever, X price and a couple of months later, they caught that by an order of magnitude, they basically 90% discount. We've seen that kind of across the industry. So I think generally as we see in technology, things will become more efficient and more affordable. But I do think there's important things to take note of as it relates to data ownership and again, not exposing proprietary training data to the public domain.
All right, so dude, I wanna shift gears. When we were doing research, I read that you recently partnered with ACV auctions. Again, also timely, I just hadn't shown even on the podcast as a co-founders, no longer there, but he was a co-founder. Anyways, the first thing I think about when I hear an AI on a Vodiv company and ACV auctions partnering, I think, are we gonna have buyers anymore or are we gonna be buying cars using AI? So tell us more about this partnership. Yeah, absolutely. So I think the setup for this partnership is, we believe over the last three years since COVID, that dealerships have woken up to the need to control their own destiny as it relates to use vehicle acquisition. I think they realized during the COVID days that supply chains are brittle and therefore you can't really rely on your OEM display, you would new inventory and you realized that auctions are unpredictable and carry pretty high fees. And so what we've seen is a huge number of dealerships are standing up, their own car buying centers or their own car buying strategies. The problem is, car buying leads are notoriously low, low engagement, right? There's a huge number of tire kickers, price checkers, people that just want to know they're in an equity position.
So it's difficult to get humans to even call those leads. That said, it's the perfect market or the perfect segment of leads or opportunities for AI to go after to really filter out who the real sellers are and serve those up. And so what we've done with ACV is partnered with their clear car valuation appraisal tool, wherein our AI will respond to all of those leads, drive them down the funnel, drive them towards setting a physical in-store appraisal appointment or completing the virtual computer vision base to praise all that ACV clear car offers today. So yeah, we're pretty excited about it. Before we wrap up, I want to get your take, right? You're building some really great tech here to just improve the overall experience with dealerships as you think about the next five years coming out of this. Less so on the tactics, but how do you think ultimately this pushes our industry forward? What does that look like given the way, just the speed of technology adoption, every dealer that I speak with now, mostly the larger ones, of course, but they have someone dedicated just to this. And I think it's also another reason why you're seeing a lot of dealers who are selling out to bigger dealers or consolidation, right? Because the industry has gotten more complicated. There's just no doubt about it.
And to keep up with this stuff, I think technology is obviously making it easier for the smaller guys to compete with the bigger guys, but nonetheless, just understanding and figuring your way through all this has been quite a mission as it's gotten more sophisticated. What do you think that those next five years look like for our industry? Yeah, yeah. Some of it's, you know, what we touched on earlier, which is, you know, we think dealerships will go from being massively human capital intensive to really, you know, AI in automation enabled. And, you know, I think to your point, right? You know, all of the large publics have an AI strategy today. And, you know, we really believe that the mom and pop dealers should be investing alongside them. And, you know, solutions like what we offer are equally, if not more applicable to a mom and pop dealer, then they are to a large, large public. So, but yeah, I think, again, what we're gonna see is AI and automate, excuse me, AI and automation enablement, kind of across the spectrum from mom and pop dealerships all the way up to enterprise groups and OEMs.
Any juicy acquisitions on the horizon that you're thinking about? We're always looking for stuff, absolutely. You know, so please do reach out. If you're interested in, you know, discussing or doing a demo or, you know, looking at a partnership, you know, we, again, have a very high bar and, you know, only want to buy things that, you know, advance our strategic vision towards using AI to manage the entire customer lifecycle. So, nothing definitive today, but, you know, hopefully in 2024. I asked you earlier about all the products you offer, but what is your most popular product? I would say our sales AI product that automates, you know, sales outreach via SMS and email, responds to leads, answers questions, does the long-term follow-up, sets appointments and really drives people down the funnel? So that is our, you know, that's our highest growth and highest revenue for you today. Incredible. I mean, where does spin car? I mean, spin car is the OG, no more, huh? Most distribution but lower price point products.
So yeah, that spin car is installed or, you know, a 360 walk-around product is installed in probably 6,000 dealerships across 53 countries, 53 markets today. You know, merchandising as a whole is still the bulk of our revenue and is certainly, you know, an area that we continue to be focused on. What we're seeing with merchandising, you know, we still sell it direct to tier three, but it's also being bought by manufacturers as kind of a top-down mandate type solution, you know, because we think at this point, if you're not using a product like ours, consumers are starting to ask why it started to become, you know, 360 imaging is starting to become almost standard in the auto retail.
Yeah, yeah, I would agree with that. It's sort of become table stakes, right? People expect it, you need to offer it. Last question here, you mentioned you have a high bar for acquisitions. What does that mean to you? Because I'm sure, you know, I met someone this weekend, they specifically brought up this topic to me, they're a listener of the podcast, and they specifically said that, you know, they loved the, you know, the founder and acquisition questions. And so it's super top of mind. So I'm curious, what does that mean to you, right? What are, what do you say things that are aligned with their strategic vision and a high bar? What does that really mean?
Yeah, again, you know, it's not our strategy to buy anything that ends in, you know, dot car or dot auto, and even if there's no kind of products, energy, slam the companies together as a way to find incremental e-bit. For us, it's, you know, really finding strongly differentiated products with, you know, durable competitive modes and things that drive an ROI for a dealer. And ideally, you know, the UTA's mission critical, you know, not something that people throttle on and off or, you know, can replace easily with a competitor, but something that's differentiated and really a core part of that, you know, dealer's operating strategy.
You know, you just mentioned something that came to mind. You said software that people can, you know, replace easily. Did you have early on in your career building in PAL, especially when you were just, you know, a spin car tool early on? And I say that in, you know, it's just one product, right? Very, you know, very easily for a bigger company to just come in and kind of squash you out of the market. Did you have any OSHIP moments like that? Did you ever fear like, hey, are we gonna actually make it? Did you have that part of your journey? Certainly at the OSHIP moments, no doubt, you know, it's a rollercoaster, absolutely, especially in the early days, especially as, you know, kind of a bootstrap business. You know, that said, we proceed to competitive strategy, wherein, you know, we really focused on building out the ecosystem of integration partners.
So we became the, you know, exclusive integrated merchandising provider to many of the third party listing sites, many of the peer to peer market places. And that kind of allowed us to box out competition wherein at their only function on a dealer's website, but our merchandising products syndicated to this huge network of classified sites, it was difficult for a competitor to displace us because of that. Well said, well said, it's a great strategy. So speaking of partnerships, are you, which I think by the way is a very smart strategy, right? You're right, that does sort of box out competition, especially early on when you're a tech product, which is, you know, pretty easily, it means commoditized in a way.
What about manufacturers? Like have you done any partnerships on a manufacturer side? Certainly, yeah, we're seeing manufacturers start to adopt our merchandising products and kind of mandate them top down, but more specifically to AI, over the last year, we've seen a lot of manufacturers coming to us. You know, they see that tier three communications happening at the dealer level are brand non-compliant and they're asking us, you know, instead, can we establish AI based communication protocols at the tier one level, cascade those down to tier three dealerships and, you know, maybe as part of that, the OEM gets some insights back about, you know, what tier three consumers are asking about or, you know, what those tier three conversations look like. So we've definitely seen demand there. The second area, you know, as manufacturers have invested a lot in consumer data platforms and really see AI as a key activation to those CDPs, AI is not restricted in the same way that most CDP activations are, you know, it's not restricted by limitations of an ad network.
And so it really allows for full kind of unbridled personalization powered by an OEM CDP. And when you say they're mandating the products, what specific products are most important to the manufacturers right now? I think, again, because, you know, 360 views have kind of become table stakes, we're starting to see that be either mandated or heavily incentivized at the manufacturer level. We're also seeing, you know, our feature tour product be just built into OEM certified websites.
So again, that's our product that helps, you know, articulate using rich explainer content, you know, OEM features and articulate, again, the difference between adaptive cruise control and lane keep assist, for instance, by embedding, you know, rich multimedia content directly in the website. So that's something that, you know, again, is just being integrated as part of OEM programs. Well stated, my friend, Devin Daley, thanks very much for coming on. If anyone's interested in learning more, we'll put the link in the show notes below.
And pal, check it out. Devin, this was really fun. Thanks for coming on, man. Absolutely. Thanks for having me. Really appreciate it. All right. Hope you enjoyed that episode. Please give the podcast a rating, consider subscribing to the show and check the show notes for links to what we talked about. Thanks for tuning in. I'll see you guys next time. Yeah.