"Fewer Leads, More Sales"– Massive Upsides, Fatal Flaws, and Sobering Reality of AI BDCs | Daniel Kim, Director of Operations at Barnes Crossing Auto Group
Car Dealership Guy Podcast
Car Dealership Guy PodcastSep 2, 2025
"Fewer Leads, More Sales"– Massive Upsides, Fatal Flaws, and Sobering Reality of AI BDCs | Daniel Kim, Director of Operations at Barnes Crossing Auto Group
figure out in terms of giving status updates on cars. And it was just not a effective experience
for us. So, we've put a pause on it. We will revisit it in the future versus I think on the
sales side. One, it's more text-reliant. So, I think it's more baked as of today. And I think
there's solutions out there that can really help augment your BDC or sales department on the lead
follow-up side of things. So, what's next? Like, what do you, what do you, I didn't ask you
time frame of how recently you've implemented this. But I'm curious, now that, you know,
you have your stores running this way, what's the next project for you? Like, where's your focus
shifting to? Yeah. So, we've just launched our data warehouse. We have DMS and CRM data in a,
in a relatively manageable way. 4Is has been really helpful in that sense in helping us get
there alongside with MPEL because they have a partnership. And, you know, with that, I'm
now in the process of putting two things on top of it. A BI layer and a LLM model on top of our data
warehouse. So, what that means is BI layer because, because the biggest frustration that I had was
every time I tried to pull reports from my CRM platform, I wanted to shoot myself.
I'm a very analytics heavy person. And just the, the lack of flexibility, how long it took
to update every time I tried to create a new report, outdated UI, just really wanted to
made me want to, you know, bang my head against the computer. So, you know, that was kind of the,
the reason why I wanted to start a creative data warehouse, bolt on a business intelligence
tool on top that I can share with leadership, so that everybody is on the same page and they
know what is expected of them. Because if you don't measure it, then how do you know
you're successful? And then afterwards work on a platform where now we can use LLM models to first
teach it to understand what the data means, right? Because if it doesn't have any context around
what a vehicle is or where to look for vehicles or customers or things like that,
then the data is kind of useless. But once we have that, then using an LLM model to
provide insight and support to the greater staff that works at our, our dealership group.
Well, we'll have to get you back on the platform to tell us how that went,
because it sounds like you're working on quite the fun project. One quick question there. You
mentioned you want to put like a business intelligence tool over your data. What does
that look like? Or like, what are you actually using for that? Yeah, so we have our data
warehouse in Snowflake. So Snowflake is a pretty, it's pretty well used data warehouse.
And, and you know, to the people who are listening to this podcast, you're like,
oh my gosh, how do I do this? You know, obviously happy to tell you how I did it too. But like,
it's not like I'm in their writing code for all this stuff, right? I am finding the right partners
to help me with this. So just want to kind of make that that clear. On top of Snowflake,
it's not very difficult to put on a BI tool like, you know, Tableau or Power BI from
Microsoft or, you know, there's a little cheap little data platform.
A visualization tool. Correct, correct. Yeah, a way to kind of query data and then show graphs
and charts and whatnot. So we're, yeah, so we have that set up now. After, so then once I have
that, then I have to create actual reporting by querying the data. All right, Daniel,
this has been very interesting, man. So I appreciate you kind of filling us in on your
selection process. And we'll definitely want to do a follow up with you in the future as you
implement all these other visualization tools. And ultimately, you know, get to the brass
tax of show me the money. Yeah, for sure. I want to understand, you know, how business has gone up.
Leave us all with like one piece of advice for anyone listening to this that kind of heard
about your entire process. Like what's one piece of advice you can leave us with?
Put in the time and do the research, right? It's the issue that I have sometimes in our
industry, like we, I think everybody means well, but sometimes there's a lot of noise,
right? You know, one of the things that I always talk about too is, do you remember digital retailing?
I do. Yeah. Yeah, you know, I think we got so caught up with the software
and we totally forgot about process, right? Which was actually the more important part
of digital retailing. So and I feel like with CDPs, that's kind of what's happened.
Everybody just got excited about being able to target, you know, that person who didn't buy a car
from you, but service with you. And now looked at a Hyundai Palisade on your website and I want
to get to that guy, right? So they'll find some, you know, we'll find some vendor as a dealer
to help me get to it. But in essence, it's not about really the activation. It's really
about setting up your data properly. And there, unfortunately, I think isn't a lot of
ability to capitalize on the ability to just send data to a dealership. So I think vendors are less
focused about it. But I think there are vendors who exist currently out there who are more aligned
with kind of what's good for the dealership in the long run, even though it might not sound
as sexy or be the new next shiny thing. So I think that's kind of what, you know, what I would encourage
everyone to focus on is, look, you know, what, what, what is the real objective that we're trying
to get to, which is ownership of data, because that is what's going to help
your dealership win in the future. And find the right vendors if you don't have internal
capabilities. And, and, you know, I'll say there are other dealerships out there like
Chomp, for example, right, they've, they've got a huge team, you know, and it's amazing that they
were able to implement it and kudos to them. But, you know, we're, you know, we're not there. A
lot of dealerships don't have that capability. And if that's, if you're in that kind of boat,
then really finding the right partners to be able to implement some of the things you need
to do, I think is what's most important. Well said. Daniel Kambarns crossing auto group.
Daniel, thanks for joining us on the podcast. It's been awesome. All right. Thank you, Yossi.
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.
About this episode
Daniel Kim, Director of Operations at Barnes Crossing Auto Group, shares insights on the integration of AI in automotive dealerships, discussing its benefits and challenges. He emphasizes the importance of data ownership and the implementation of AI agents in the BDC to enhance lead management and customer engagement. Daniel also reflects on his journey from tech entrepreneur to dealership operations, highlighting the need for effective vendor partnerships and the significance of a robust data strategy. His experiences reveal the evolving landscape of dealership technology and the critical role of data in driving sales.
Today I’m joined by Daniel Kim, Director of Operations at Barnes Crossing Auto Group. His journey from tech entrepreneur to dealership operations leader, the promises and pitfalls of AI BDCs, why he insists his team stay on the phones and much more.
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Topics:
01:00 How did upbringing shape Daniel?
04:01 Why enter the auto industry?
05:41 Founding Orbi: biggest early challenges?
08:09 Current role and responsibilities?
10:38 AI implementation challenges in auto?
16:03 Vendor selection process tips?
21:42 AI in BDC: results?
24:01 AI's role in dealership operations?
41:34 Best AI/data advice for dealers?
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