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Mile Marker
AI Revolution: Transforming Automotive & Fleet with Jamye Carpenter
Dive into the future of automotive and fleet industries with Jamye Carpenter, owner and president of JRC Innovative Solutions. With over 20 years in automotive and insurance, Jamye brings her expertise in business process optimization and AI integration to the forefront. As co-chair of the AI subcommittee for the International Automotive Re-Marketers Alliance, she discusses the cutting-edge technologies reshaping auto remarketing and fleet management. Joined by Mark Thomas from Ridecell, Jamye explores the challenges and opportunities in leveraging AI for real-time quoting, vehicle valuations, and more. Don't miss this insightful conversation on innovation and collaboration in the industry.
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WEBVTT - This file was automatically generated
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You are listening to the Mile Marker Podcast,
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where we explore trends and innovations in fleet automation
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and shared mobility, helping fleet based businesses make
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better informed decisions
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and achieve full digital transformation.
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Welcome everyone to the Mile Market podcast.
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I am your host, Angela Samoes.
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And today's guest is Jamye Carpenter, owner
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and president of JRC Innovative Solutions,
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where she helps automotive
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and fleet companies say yes to collaboration,
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innovation, and progress.
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Before founding her own company,
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Jamye spent more than 20 years in the automotive
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and insurance industries where she used her expertise in
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business process optimization, optimization, compliance,
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and organizational development to improve auction
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and auto remarketing operations for multiple companies.
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Jamye is also co-chair of the AI subcommittee
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for the International Automotive Re-Marketers Alliance.
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Welcome, Jamye. Thanks
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For having me.
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And from Right Cell, we have Mark Thomas, EVP
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of Strategic Alliances.
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Welcome, mark. Thanks.
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So Jamye, let's start with you giving our listeners a bit
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of your background and then what you're doing
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with companies today.
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You know, like some of the big challenges you're seeing
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where companies need help navigating that sort of thing.
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Yeah, so I started my own business, um,
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just a few months ago,
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and, um, I really wanted to do something where
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it was a little more focused on the issues
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that are in, um, our industry
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and the things that we're seeing.
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Um, and with that, I, um, started JRC
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and Innovative Solutions.
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We are, of course, I'm very active within the industry
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and ai, um, which is part of what I'm tackling,
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um, with specifically one of our cust
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or one of my customers, which is pre-owned Auto Logistics.
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And it is a transportation company
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and they are using AI to help with better quoting.
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And then, um, they're looking at different ways
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that they can also utilize AI in the industry.
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And then I'm also working with privacy for Cars,
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and that is a whole different side of technology
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and making sure that all of that personal information
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that AI is gathering on all of us to help create all
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of these amazing, uh,
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products within our industry is deleted when we are no
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longer, um, the one that has possession of the vehicle.
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So that's what I'm doing today.
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I did spend many years, um,
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with the product Auto Check was a,
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which is a vehicle history product,
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and, um, I actually got to help create and build the product
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and launch that.
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And, um, it, it's still, I feel like it's my baby, um,
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because I worked with it for so long.
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Um, and then, uh, I did work with UVI, which,
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um, is all about AI
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and, um, using that for condition report writing.
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And that's really where my passion, um, was, uh,
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really birthed was from that relationship, um,
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and how we were using AI to, um, generate condition reports.
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Oh, both in reading your background
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and part of the conversation we had previously, I, I mean,
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it really seems like you are the technology guide
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for companies where, uh, they're wanting
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to bring their systems into the 21st century.
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They know they need to use technology,
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but they're not quite sure what's the best way to do that.
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So in the, especially in the world of auto remarketing,
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what are some of the technologies,
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and you, you kind of referenced too just now,
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but some of the technologies that you're seeing are
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the most effective.
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Um, and I maybe also the most where,
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where people are most receptive
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to implementing, uh, some new technologies?
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Yeah, so I wouldn't say people are very receptive
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to implementing, um, AI and condition report writing.
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Um, I think that was probably the biggest hurdle
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that I faced when I was with UVI.
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I think that, um, probably the one
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that everyone is most interested in right now,
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I would say from the last few conferences I've attended is
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the valuation piece.
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And I really think that there's some excitement around
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what AI can do to help really hone in on how
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EVs are gonna be evaluated.
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Specifically, there's so many questions around battery life
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and what that does and battery health
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and how do we even, you know, how, how do we as
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individuals look at, um, the battery health of the vehicle.
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And then if you tie into basically the computer
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of the vehicle and what it's gathering, what does
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that really tell us?
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And if we know the battery help, then can we really put a,
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a specific valuation on a vehicle that's that's gonna
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be more realistic than what we can do?
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Um, you know,
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if we were using our little black books like we did back in
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the day, and, um, I think one thing's for sure, um,
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we can't do it and, um, we're gonna have to high, uh,
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heavily rely on AI
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and, um, how that in conjunction
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with Black Book data
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or NADA data, how all of that's gonna come together
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and, uh, create that valuation.
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So I think that's probably what people are most excited for.
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We are seeing it when it comes
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to realtime quoting in the logistics, you know, portion
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of our industry.
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And that seems to really be exciting
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and catching on, um, just
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because it's so hard to give that real time quote, um,
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and without knowing kind of
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what everybody else is gonna quote that vehicle for.
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And you don't wanna be so overpriced
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that you lose the business.
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You don't wanna be so underpriced that, you know, you're,
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you're losing revenue.
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So I think that we have seen, um, that really catch on, uh,
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in the logistics space.
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And then if we look at, um, imaging
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that's been around forever,
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and that was another thing that UVI was really, um,
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intentional about taking what the images that were captured
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and then using AI to really detect that damage.
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So we have a lot of companies out there
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that have great technology when it comes to imaging,
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and I think they're still trying to figure out how to use AI
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when it comes to really diving in
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and looking deeper into what that, um,
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tells us the full story and transparency of the vehicle.
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Um, so I think that everybody says that
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that want transparency
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and all of our customers say, yes,
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we wanna tell the full story, um, until it comes to,
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oh wait, I can no longer change the auto grade
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for this customer over here so
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that I can get more money for my vehicle.
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So I think, you know, there's, there's that piece of it
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where maybe that there's too much information.
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And so until we really figure out, um,
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what we can use without having to use all of it
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and, um, come up with a standard across our industry,
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I think it's gonna be really hard really
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to implement any of these.
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And so that's, I think that's a great transition into the
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work that you're doing on the AI subcommittee, um,
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because you've kind of already touched on, on some
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of those areas and,
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and just like you said, um, while it may benefit the,
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I guess, the buyer, right,
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because they're insured to get not a lemon right.
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And nothing's hidden anymore.
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Um, to your point, some people may feel like, well,
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do they really need to know every single
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thing that happened with this car?
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So yeah, having that standardization.
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So, um, we understand
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that on the AI subcommittee there's kind of a certain number
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of areas that you're focusing.
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Do you wanna talk about those
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and then we can drill down into a couple?
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Yeah, yeah. So I did, I guess I cheated a little bit
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and used those five, um, as kind of the precursor to
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where we are now.
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But, um, you know, I, there was something that came to me,
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um, when you were talking too,
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and um, I think when we think about our
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industry as a whole, um, you really have
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to separate it into dealer, consumer and wholesale, right?
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And so the dealer loves that AI transparency
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because they're trying to get, they're wanting
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to show the consumer all of the problems so
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that they're devaluing the vehicle.
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They may be taking on trade,
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or they are giving you all of the problems
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that maybe you will allow them
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to then take into their body shop
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or their mechanic shop to fix for you.
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So dealers love it.
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Um, then you get to the wholesale side
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where we don't wanna devalue the vehicle, we want
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to add value to the vehicle.
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So that's where I think that, oh my gosh,
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is too much information here
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because we're not selling to the consumer.
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That's the dealer's responsibility.
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And, you know, you get into this whole argument of
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what is a wholesale vehicle versus what's a retail, right?
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So I think if we think about it in kind
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of those three buckets, our committee
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as a whole is really focused on that wholesale remarketing.
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How do we get this vehicle back out, um,
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after it's come off lease or off, you know,
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and maybe a trade in has already happened.
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So when we looked at that, we did,
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we broke it down into five categories
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and, um, we started with customer service.
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We felt like that was probably the one people most
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are most aware of with chat GPT, um,
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the Microsoft copilot that dealers now have access to.
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So we, we said, okay, that's gonna be in our five
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because that's really
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what we think is gonna impact our industry,
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but we're gonna make that the bottom for us
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because you're either using it or you're not,
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but everybody kind of knows about it.
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So then we said, okay, what's next?
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And we broke it down to condition report, writing,
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valuations, transportation, and then imaging.
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And what we found
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as a committee was we really couldn't do condition report
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writing, valuation
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and imaging without those three touching each other.
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So, um, we then said, okay, then
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that's gonna move transportation down as well.
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So we're gonna then just focus on the three components
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of condition report writing, um, and valuations.
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But we can't really do that without imaging.
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So that's kind of what our focus is, um,
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for the first quarter.
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And, um, because we did kind of lump all of those in,
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it could take us a little more time than really just the
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first quarter, but that's what we're gonna really, um, try
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to focus on, focus
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and get prepared for the, um, it used
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to be IARA,
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but they just went through a RA rebranding of a RA
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and there's gonna be a summer round table
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where we wanna present some of our findings for, um,
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how we think that those three things are gonna really impact
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our industry moving forward.
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You know, I was just trying to understand,
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so it sounds like one of the goals of AI
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is to just uplevel the amount of information.
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One of the drags in it feels like is
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that there's an asymmetry of knowledge.
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Maybe the person at the time selling the car knows all the
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issues and the person buying the car is like, I don't know.
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So I'm not gonna pay its full value
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because I'm assuming the risk.
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If you get to a situation where the, there is much,
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much more detail detailed
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and accurate assessment of that,
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it feels like it will make the market more efficient
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because buyers and sellers both actually understand
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what the true value of that, uh, vehicle is.
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And wouldn't, so wouldn't the, the auction houses then
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actually like this kind of transparency
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because it means
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that they potentially will get a higher price for
258
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that vehicle, and presumably they get paid a percentage
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of the vehicle value, uh, as their cut.
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So I think the fear, and I don't own an auction,
261
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and I don't work at an auction, so this is just my opinion,
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but I think part of the fear is do vehicles then have
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to even go through auction
264
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because at that point, the vehicle, it can give all of
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that information because it is just one giant computer.
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Then if I want to trade my vehicle,
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or if I wanna sell my vehicle, I can then do that on my own.
268
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And I don't really need the avenue of taking it to a dealer
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or a third party to do that for me.
270
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So, but what about the wholesalers?
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How are they, did they take possession
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and do they buy the car and then sell it?
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Or are they a middle pass through?
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So I think it depends.
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You do have folks that do nothing
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but buy in that third party market and just buy and sell.
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Um, and then you do have, um, wholesalers that work
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for a dealership.
279
00:14:43.805 --> 00:14:47.905
But again, if the consumer's no longer taking that vehicle
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to auction to sell it
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because they wanna sell it on their own to get more money,
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then I think that's sort of the, the fear, um,
283
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how realistic it is.
284
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I'm not sure. Um,
285
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but I think just as we've seen with anything, um,
286
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the adoption of the internet,
287
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I remember being at my first conference, um,
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26, 6, 7 years ago,
289
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and they were like, okay, so brick
290
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and mortar auctions need to be prepared
291
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because people are gonna start buying online.
292
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And the auctions were like, absolutely not.
293
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It will never happen. And you know, I think
294
00:15:31.435 --> 00:15:35.165
they were right where those vehicles have to have a place
295
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where they can get reconditioned and ready for sale
296
00:15:37.865 --> 00:15:40.285
and they've gotta have a marshaling yard of sorts.
297
00:15:40.905 --> 00:15:44.165
But even thinking of it that way, what,
298
00:15:44.315 --> 00:15:48.685
what does the traditional auction look like in 10
299
00:15:48.685 --> 00:15:49.685
or 15 years?
300
00:15:51.255 --> 00:15:52.515
So, I don't know.
301
00:15:52.875 --> 00:15:56.115
I think, you know, maybe AI can tell us if we ask it.
302
00:15:56.315 --> 00:15:57.315
I don't know.
303
00:15:59.215 --> 00:16:04.195
And so the, the goal of the subcommittee is kind
304
00:16:04.195 --> 00:16:05.395
of look at the lay of the land,
305
00:16:05.735 --> 00:16:10.275
assess what's currently being used, what could happen, like
306
00:16:10.275 --> 00:16:14.675
what, what feasibility is, is possible technologically, um,
307
00:16:14.815 --> 00:16:16.795
or where we think things should go,
308
00:16:16.815 --> 00:16:18.195
and then make recommendations
309
00:16:18.815 --> 00:16:21.795
on standardization and things like that. Yes.
310
00:16:22.055 --> 00:16:25.595
So, um, our hope, our hope is
311
00:16:25.745 --> 00:16:29.155
that once we bring our findings to
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00:16:29.815 --> 00:16:33.675
the industry at the summer round table, then from there
313
00:16:34.575 --> 00:16:36.915
we then can hear from the re-marketers
314
00:16:36.935 --> 00:16:39.355
and we can hear from the auctions to say, okay,
315
00:16:39.455 --> 00:16:42.115
we want more information on this,
316
00:16:42.735 --> 00:16:46.835
or we would like to know more about these things.
317
00:16:47.375 --> 00:16:49.635
Um, or it could be just that, thanks
318
00:16:49.655 --> 00:16:52.155
for bringing this information to our attention
319
00:16:52.535 --> 00:16:55.475
and we're just gonna wait and see what happens.
320
00:16:55.935 --> 00:16:59.115
And so at our last conference that we just had,
321
00:16:59.655 --> 00:17:04.395
we really focused on, and this was not our committee for ai,
322
00:17:04.655 --> 00:17:07.315
but the Industry Advancement committee as a whole,
323
00:17:08.595 --> 00:17:13.065
there was, um, a, the EV subcommittee said, okay,
324
00:17:13.435 --> 00:17:16.825
let's look at these valuations and battery health
325
00:17:16.845 --> 00:17:18.065
and what that's gonna do.
326
00:17:18.485 --> 00:17:21.505
And so that third component, which we're gonna bring
327
00:17:21.525 --> 00:17:25.505
to the next conference is, okay, now let's a add some AI in
328
00:17:25.505 --> 00:17:27.985
that and see what happens as well, um,
329
00:17:28.615 --> 00:17:31.505
with the condition report and that sort of thing.
330
00:17:31.685 --> 00:17:34.865
So they're kind of building blocks too Mm-Hmm.
331
00:17:34.945 --> 00:17:36.865
You know, like little bits of information
332
00:17:36.865 --> 00:17:37.985
that we put out there.
333
00:17:38.165 --> 00:17:41.385
And then let's okay, now tie it all together
334
00:17:41.565 --> 00:17:44.425
and see really what that's going to do
335
00:17:44.845 --> 00:17:47.985
and what we need to be expecting and looking out for.
336
00:17:48.285 --> 00:17:51.685
And, um, hopefully it won't take another 30 years
337
00:17:51.865 --> 00:17:56.285
before, uh, we see some movement at the wholesale level.
338
00:17:56.505 --> 00:18:01.415
But, um, that's really just, just jokes. But yeah,
339
00:18:01.875 --> 00:18:03.455
No, if anything it might just be,
340
00:18:03.535 --> 00:18:04.815
I don't know, three years, not 30.
341
00:18:04.935 --> 00:18:06.415
I mean, things move, so hopefully,
342
00:18:06.415 --> 00:18:07.415
Right. Hopefully.
343
00:18:07.415 --> 00:18:07.765
344
00:18:09.035 --> 00:18:13.535
Um, so, you know, we were talking about that the auction,
345
00:18:13.635 --> 00:18:16.455
the auction model is likely going to change, right?
346
00:18:16.455 --> 00:18:18.575
26 years ago they said, no way to online,
347
00:18:18.595 --> 00:18:19.895
and now things are moving online.
348
00:18:20.435 --> 00:18:23.965
So it not only changes the way the business is done,
349
00:18:24.305 --> 00:18:27.885
but it also changes the role of the employees, right?
350
00:18:27.885 --> 00:18:31.605
Because when you talk about, um, valuations
351
00:18:32.345 --> 00:18:34.805
and the person, there's, there was somebody going around
352
00:18:34.905 --> 00:18:39.025
and assessing damage, assessing the paint job,
353
00:18:39.025 --> 00:18:40.505
assessing all these things, right?
354
00:18:40.965 --> 00:18:43.945
And now this is starting to be done with AI
355
00:18:43.965 --> 00:18:45.145
and with other technologies.
356
00:18:45.845 --> 00:18:48.665
So, um, can you talk a little bit about, you know, how
357
00:18:49.205 --> 00:18:51.905
the human employee's role is changing, right?
358
00:18:52.605 --> 00:18:56.425
Um, and then how, I guess how that just, uh, kind of
359
00:18:57.045 --> 00:18:59.985
is flowing into how everything is changing, right? Yeah.
360
00:19:00.365 --> 00:19:04.665
So I think that's another kind of, um, unknown.
361
00:19:05.165 --> 00:19:08.525
And you know, you, you talk to some auctions
362
00:19:08.545 --> 00:19:11.685
and they're like, well, if I can't get rid of the people
363
00:19:12.315 --> 00:19:15.605
that I'm having to hire to do condition report writing,
364
00:19:16.195 --> 00:19:17.565
then it does me no good.
365
00:19:18.645 --> 00:19:21.665
And then you have some auctions that are like, well, I
366
00:19:22.575 --> 00:19:24.025
have an entire staff.
367
00:19:24.095 --> 00:19:26.945
They do a great job, they've been trained,
368
00:19:27.135 --> 00:19:28.505
they have a better eye.
369
00:19:29.025 --> 00:19:30.345
I don't wanna get rid of them.
370
00:19:30.765 --> 00:19:35.585
And really what I see is that you've gotta have both.
371
00:19:36.125 --> 00:19:40.545
And I don't think that in, in the space
372
00:19:40.605 --> 00:19:45.025
for which we live in, it can ever be just ai.
373
00:19:45.725 --> 00:19:50.675
Um, and, you know, just a little going backwards
374
00:19:50.735 --> 00:19:54.035
for a minute, you know, that we're now selling cars online.
375
00:19:54.455 --> 00:19:56.795
It was covid that really pushed us there, right?
376
00:19:57.295 --> 00:19:58.715
And so, no, like,
377
00:19:59.015 --> 00:20:02.075
the world shut down if we're gonna still sell vehicles,
378
00:20:02.095 --> 00:20:03.155
we gotta do it online.
379
00:20:03.645 --> 00:20:04.755
Let's put them online.
380
00:20:05.495 --> 00:20:09.755
And when we did that, we also lost a lot of employees, um,
381
00:20:10.515 --> 00:20:14.595
specifically that 17, $18 an hour person.
382
00:20:15.655 --> 00:20:18.995
So with that, every auction will tell you,
383
00:20:19.895 --> 00:20:24.165
we can't keep that employee no matter what we do.
384
00:20:24.745 --> 00:20:27.965
And so if we went to Indeed right now
385
00:20:28.185 --> 00:20:30.525
and just searched for condition report writers,
386
00:20:30.895 --> 00:20:33.685
there would be tons of auctions that popped up.
387
00:20:34.395 --> 00:20:37.135
So if you take that idea
388
00:20:37.515 --> 00:20:41.135
and say, okay, if I only need two or three people
389
00:20:41.675 --> 00:20:45.095
and I can pay them a better salary,
390
00:20:45.625 --> 00:20:47.055
where we train them
391
00:20:47.425 --> 00:20:52.325
and they know exactly what a condition report writer is,
392
00:20:53.145 --> 00:20:55.285
is, um, expected to do,
393
00:20:55.785 --> 00:20:59.805
and they then maybe even have the ability
394
00:21:00.145 --> 00:21:02.765
to even look at a vehicle to know there's a paint job,
395
00:21:02.765 --> 00:21:05.485
instead of having to run your fingers across it,
396
00:21:06.555 --> 00:21:11.405
then you're, you're only having to hire three people instead
397
00:21:11.405 --> 00:21:12.565
of 17 people.
398
00:21:12.945 --> 00:21:14.605
And so you can pay them a little more.
399
00:21:15.025 --> 00:21:16.725
And with that, then
400
00:21:17.065 --> 00:21:20.525
as the AI is generating those condition report, right,
401
00:21:20.525 --> 00:21:24.965
those condition reports that are being written, the people,
402
00:21:25.515 --> 00:21:29.885
then you can't, there's no AI right now to detect smell.
403
00:21:30.155 --> 00:21:34.685
There's no AI right now to detect, um, a lot of the
404
00:21:35.205 --> 00:21:39.885
interior things, um, that are in, like within the vehicle.
405
00:21:40.545 --> 00:21:43.645
And you still have to have somebody that can pop the trunk,
406
00:21:44.085 --> 00:21:45.805
somebody that can pop the hood.
407
00:21:46.955 --> 00:21:50.615
So that person then says, okay,
408
00:21:51.025 --> 00:21:54.455
these are some things that I may not have seen with the neck
409
00:21:54.455 --> 00:21:57.375
and eye, but I do know
410
00:21:57.375 --> 00:22:00.375
that I'm gonna just make sure I'm gonna walk the vehicle
411
00:22:00.555 --> 00:22:02.455
and make sure I agree with these.
412
00:22:02.955 --> 00:22:04.895
And then I'm gonna add anything
413
00:22:04.895 --> 00:22:07.335
that I think the AI may have missed.
414
00:22:07.835 --> 00:22:12.455
So you're still what used to take 30 minutes to write a cr,
415
00:22:13.275 --> 00:22:15.895
now it may take five minutes to write a cr.
416
00:22:16.395 --> 00:22:20.495
So I think the efficiency is really what we're gaining
417
00:22:20.995 --> 00:22:25.095
and the reduction of the number of employees
418
00:22:25.165 --> 00:22:27.175
that we need to make that happen.
419
00:22:28.325 --> 00:22:32.685
Right? And so in addition to, I guess, you know,
420
00:22:32.715 --> 00:22:36.285
assessing the physical condition of the vehicle, um,
421
00:22:36.545 --> 00:22:37.925
you know, because we,
422
00:22:38.105 --> 00:22:40.565
we focus on fleets here at Mile Marker,
423
00:22:40.905 --> 00:22:43.125
so this is also a game changer for fleets,
424
00:22:43.585 --> 00:22:46.285
but there's also all the telematics systems, right,
425
00:22:46.815 --> 00:22:48.245
associated with the fleet vehicle.
426
00:22:48.545 --> 00:22:52.805
So, um, any sort of predictive maintenance, um, uh,
427
00:22:52.945 --> 00:22:55.245
you know, any other, I guess, fleet management systems
428
00:22:55.245 --> 00:22:58.685
that would be, you know, collecting data about the vehicles.
429
00:22:59.265 --> 00:23:02.285
So how do those systems come into play when it,
430
00:23:02.285 --> 00:23:05.325
when it comes to evaluating a, a vehicle for remarketing?
431
00:23:06.235 --> 00:23:09.605
Yeah, so really it's enhancements, right?
432
00:23:09.825 --> 00:23:12.205
So the more information that we can put in
433
00:23:12.205 --> 00:23:16.285
that condition report, the better the, um,
434
00:23:16.725 --> 00:23:17.765
report's gonna be.
435
00:23:18.265 --> 00:23:22.325
And going back to now our com, I drive a Tesla,
436
00:23:22.985 --> 00:23:25.805
so it just amazes me on
437
00:23:26.365 --> 00:23:29.125
Thursday mornings when I get in my car at 9:00 AM
438
00:23:29.875 --> 00:23:32.445
it's gonna pop up, are you going to the chiropractor?
439
00:23:32.445 --> 00:23:33.725
Because I usually go
440
00:23:33.725 --> 00:23:36.085
to the chiropractor on Thursday mornings at
441
00:23:36.085 --> 00:23:37.685
9:00 AM when I'm going.
442
00:23:38.345 --> 00:23:43.005
Um, and so, or if, um, I get in the car on Saturday
443
00:23:43.745 --> 00:23:47.285
and it's, you know, know at 6:00 PM it'll say, are you going
444
00:23:47.705 --> 00:23:48.765
to visit your daughter?
445
00:23:49.155 --> 00:23:52.885
Like so already there is that predictiveness
446
00:23:53.185 --> 00:23:55.005
and, um, with driving habits,
447
00:23:55.225 --> 00:23:59.365
so not only do I think it's going to impact fleets
448
00:23:59.785 --> 00:24:02.485
and how many, you know, miles
449
00:24:02.585 --> 00:24:05.925
and all of that's driven on the vehicle that's gonna impact,
450
00:24:06.425 --> 00:24:10.845
um, the fleet, but even our insurance companies now.
451
00:24:11.345 --> 00:24:14.645
And that's going back to that whole privacy of data
452
00:24:14.785 --> 00:24:16.085
and who owns the data?
453
00:24:16.435 --> 00:24:18.965
Does Tesla own my data? Do I own my data?
454
00:24:19.105 --> 00:24:22.685
Do I just own my data while I'm driving the vehicle vehicle?
455
00:24:22.685 --> 00:24:25.925
And then Tesla can use that data when I no longer own it
456
00:24:25.925 --> 00:24:27.325
and it's not tied to me.
457
00:24:27.985 --> 00:24:30.445
Um, you know, so it'll be really,
458
00:24:30.865 --> 00:24:34.445
and I think we just don't even know yet everything that,
459
00:24:35.105 --> 00:24:36.805
um, AI is gonna do.
460
00:24:36.985 --> 00:24:39.485
But I think as a whole,
461
00:24:39.825 --> 00:24:43.365
and putting fleet in that kind of still that remarketing,
462
00:24:43.365 --> 00:24:45.365
because all of those off lease vehicles,
463
00:24:45.555 --> 00:24:46.845
they've gotta go somewhere
464
00:24:46.945 --> 00:24:50.565
and every auction hopes that funnels through them, um,
465
00:24:51.045 --> 00:24:54.085
I think that it's gonna be real, a real game changer,
466
00:24:54.665 --> 00:24:58.325
and we're gonna see vehicles, um, bring more money
467
00:24:58.745 --> 00:25:01.845
and we're gonna see vehicles that, um,
468
00:25:02.455 --> 00:25:04.325
maybe get remarketed differently.
469
00:25:04.785 --> 00:25:06.325
And I think that's kind of something
470
00:25:06.325 --> 00:25:08.685
that we haven't really touched on either.
471
00:25:08.965 --> 00:25:11.525
I know we kind of touched on, um, the consumer,
472
00:25:11.545 --> 00:25:14.685
and I haven't taken my vehicle to a dealership to trade it,
473
00:25:15.145 --> 00:25:18.205
but maybe there's a station that I go to
474
00:25:18.345 --> 00:25:20.725
and I get a condition report written on my vehicle,
475
00:25:20.865 --> 00:25:25.205
and then it says, you're better off keeping this vehicle
476
00:25:25.515 --> 00:25:26.725
than getting rid of it.
477
00:25:27.265 --> 00:25:31.845
Um, so, you know, going back to the way I drive, you know,
478
00:25:31.985 --> 00:25:35.125
and my own habits, maybe it says,
479
00:25:35.465 --> 00:25:38.285
you really should have leased a vehicle instead
480
00:25:38.285 --> 00:25:41.645
of purchasing one based on your driving habits,
481
00:25:42.185 --> 00:25:44.605
and that would've been more economical for you
482
00:25:44.715 --> 00:25:48.965
because now the EV driver than I am,
483
00:25:49.425 --> 00:25:51.685
my car had the valuation
484
00:25:52.355 --> 00:25:55.365
that I just did on it is crap.
485
00:25:55.745 --> 00:25:59.925
You know? And so I, I'm hoping that the more data we get,
486
00:26:00.425 --> 00:26:03.685
the better that that, you know, the valuations of, um,
487
00:26:04.495 --> 00:26:06.605
especially for us Tesla owners,
488
00:26:06.745 --> 00:26:09.645
but EVs in general, um, are gonna be,
489
00:26:10.065 --> 00:26:13.525
and, uh, I think we're also gonna see
490
00:26:14.825 --> 00:26:17.265
a big push for more hybrid.
491
00:26:17.645 --> 00:26:21.465
So there was a survey done at the last, uh, convention,
492
00:26:22.005 --> 00:26:26.745
and it was, what do you think the future of automotive is?
493
00:26:27.005 --> 00:26:29.385
Is it all ev, is it hybrid
494
00:26:29.805 --> 00:26:32.545
or is it gonna stay ICE vehicles?
495
00:26:33.165 --> 00:26:37.585
And, um, I think like 30% of the room said that they thought
496
00:26:37.585 --> 00:26:39.305
that it would be EVs
497
00:26:39.765 --> 00:26:42.905
and then, um, it was like 40%
498
00:26:43.005 --> 00:26:45.245
of the room said they thought it was gonna be ice.
499
00:26:45.505 --> 00:26:49.485
So the majority really filled in for that hybrid model.
500
00:26:50.145 --> 00:26:53.605
And um, and that's something that, you know, we're kind of,
501
00:26:53.605 --> 00:26:56.325
right now it's either all EV or all ice,
502
00:26:56.585 --> 00:26:59.925
but there's that whole world that, um, we're kind
503
00:26:59.925 --> 00:27:02.685
of missing, which is gonna be that hybrid model,
504
00:27:03.015 --> 00:27:05.005
which is the best of both worlds.
505
00:27:05.065 --> 00:27:09.085
You know, again, I live in Alabama, I drive a Tesla,
506
00:27:09.665 --> 00:27:13.165
the closest if I'm gonna do a supercharger is 30 minutes
507
00:27:13.315 --> 00:27:15.245
away and 45 minutes away.
508
00:27:15.625 --> 00:27:17.325
So maybe I want a hybrid
509
00:27:17.545 --> 00:27:20.005
and I don't have to have a charger in my house.
510
00:27:20.345 --> 00:27:22.405
And then, you know, I don't know.
511
00:27:22.455 --> 00:27:24.565
We'll see how it all plays out.
512
00:27:24.705 --> 00:27:28.085
But, um, yeah, I think that the,
513
00:27:28.275 --> 00:27:30.885
that fleet market though, is the one
514
00:27:30.885 --> 00:27:33.885
that's gonna see the best results from ai.
515
00:27:34.825 --> 00:27:37.555
Well, the, like, the individual just has to decide
516
00:27:37.695 --> 00:27:39.995
for themselves, should I keep this car?
517
00:27:40.895 --> 00:27:42.875
Should I, you know, trade it in?
518
00:27:43.255 --> 00:27:45.955
Should I, if I'm leasing it, should I buy it?
519
00:27:46.575 --> 00:27:49.475
Uh, so they, they can probably do their own
520
00:27:49.755 --> 00:27:51.715
homework at least for that.
521
00:27:51.975 --> 00:27:53.915
But our fleet customers are the ones
522
00:27:53.915 --> 00:27:56.555
who are making this decision, you know,
523
00:27:56.675 --> 00:27:58.115
a hundred thousand times a year,
524
00:27:58.295 --> 00:28:00.115
do I keep it right, do I sell it?
525
00:28:00.565 --> 00:28:04.835
Right? And the new model of interacting
526
00:28:04.835 --> 00:28:08.225
with their vehicles is, is to not just
527
00:28:08.325 --> 00:28:10.345
by default when they come back from lease
528
00:28:10.605 --> 00:28:12.385
to remarket them, right?
529
00:28:12.445 --> 00:28:15.985
But put them in a second lease, uh, a third lease,
530
00:28:15.985 --> 00:28:17.665
maybe put it in a rental pool,
531
00:28:18.325 --> 00:28:22.665
or even a car sharing where you can take high mileage, uh,
532
00:28:22.705 --> 00:28:25.505
vehicles that still, uh, have reliability.
533
00:28:25.765 --> 00:28:29.025
So there's so many more calculations in terms of
534
00:28:29.085 --> 00:28:31.145
how much money can you make from this vehicle?
535
00:28:31.855 --> 00:28:36.265
Yeah. In addition to the decision of, do I auction it?
536
00:28:36.725 --> 00:28:39.345
Do I auction it at the end of the week?
537
00:28:39.445 --> 00:28:41.105
When's the best time to sell it?
538
00:28:41.725 --> 00:28:43.345
Do I put it in my dealership?
539
00:28:43.565 --> 00:28:45.305
What's the, the current market?
540
00:28:45.445 --> 00:28:47.625
Is there an overabundance of these?
541
00:28:48.125 --> 00:28:52.785
Having AI do all of that legwork for you to say, you know
542
00:28:52.785 --> 00:28:55.705
what, there are all the, the Prius hybrids in this,
543
00:28:56.055 --> 00:28:59.025
this zip code have been bought up by Uber drivers,
544
00:28:59.325 --> 00:29:01.745
and they're, they're really hot right now.
545
00:29:02.525 --> 00:29:03.825
You know, having somebody
546
00:29:03.825 --> 00:29:06.025
that's always just monitoring these things,
547
00:29:06.415 --> 00:29:09.785
because certainly the auction houses will give you a value
548
00:29:09.785 --> 00:29:13.905
of what, what they'll anticipate getting for it.
549
00:29:14.325 --> 00:29:15.945
But you can't then get,
550
00:29:16.375 --> 00:29:19.585
what do we anticipate the local dealership getting for it,
551
00:29:20.085 --> 00:29:23.145
and is the current person who's driving it interested in
552
00:29:23.145 --> 00:29:24.345
buying it Right.
553
00:29:24.685 --> 00:29:25.745
For an even bigger premium?
554
00:29:26.005 --> 00:29:28.905
So the decision tree just gets more and more complex.
555
00:29:29.165 --> 00:29:31.945
And that's actually where AI thrives.
556
00:29:33.005 --> 00:29:37.145
One of the deals that, um, I had an opportunity
557
00:29:37.285 --> 00:29:40.505
to work on when I was at UBI was with GM Financial.
558
00:29:41.185 --> 00:29:45.165
And so that was the very thing that we were working on
559
00:29:45.165 --> 00:29:48.965
with them, is putting a UVI machine at their distribution
560
00:29:48.965 --> 00:29:52.965
center so that the consumer, when it was ready
561
00:29:52.965 --> 00:29:55.045
to bring the vehicle, they could take it there,
562
00:29:55.425 --> 00:29:56.445
and then from there,
563
00:29:58.935 --> 00:30:01.515
the condition report would be handed over.
564
00:30:02.135 --> 00:30:05.155
But GM would then, you know, based on
565
00:30:05.305 --> 00:30:07.275
what they saw in the condition report,
566
00:30:07.815 --> 00:30:09.475
do we want you to keep this vehicle?
567
00:30:09.865 --> 00:30:11.955
What are we going to encourage you to do?
568
00:30:12.015 --> 00:30:15.155
And maybe we want to keep it so that we can resell it
569
00:30:15.155 --> 00:30:16.675
or put somebody else in it.
570
00:30:17.295 --> 00:30:21.995
Um, so yeah, you have, you have some forward thinking, uh,
571
00:30:22.285 --> 00:30:25.595
folks out there that are already saying, yeah,
572
00:30:25.915 --> 00:30:26.995
I wanna tap into this
573
00:30:26.995 --> 00:30:29.875
and I wanna be at the, you know,
574
00:30:29.915 --> 00:30:31.355
I wanna be on the forefront of it.
575
00:30:33.735 --> 00:30:36.645
Right. Because, uh, I think we were talking earlier about,
576
00:30:36.985 --> 00:30:39.205
um, you know, if, um,
577
00:30:40.605 --> 00:30:43.165
y you whether you should keep the car as opposed
578
00:30:43.165 --> 00:30:44.325
to selling the car, and
579
00:30:44.925 --> 00:30:46.605
'cause yes, as an EV driver myself,
580
00:30:47.205 --> 00:30:51.365
I wish I would have sold it back when used EVs were getting
581
00:30:51.785 --> 00:30:54.605
top dollar, because now it's like, Nope, hold onto it.
582
00:30:55.435 --> 00:30:58.045
Yeah. For another year at least or something.
583
00:30:58.585 --> 00:31:01.725
Um, and kind of what you all have been talking about here
584
00:31:01.725 --> 00:31:05.125
that there's now new, you know, um, models
585
00:31:05.225 --> 00:31:07.125
or short-term leases, you know, there's the,
586
00:31:07.425 --> 00:31:10.845
the Ford Drive program specifically for, for Uber drivers
587
00:31:10.975 --> 00:31:12.965
where it's, they're very short leases
588
00:31:12.965 --> 00:31:14.405
and they're using it for a specific purpose,
589
00:31:14.585 --> 00:31:17.445
but you know, that very well could start to apply
590
00:31:17.445 --> 00:31:19.405
to the everyday driver and not just Uber drivers.
591
00:31:19.625 --> 00:31:23.965
So, you know, there's all these new, new ways of
592
00:31:24.885 --> 00:31:26.315
quote unquote owning a vehicle
593
00:31:26.575 --> 00:31:27.995
and you don't really own it, right?
594
00:31:27.995 --> 00:31:29.595
You're just utilizing the vehicle.
595
00:31:30.095 --> 00:31:33.955
Um, and then, you know, from a fleet perspective too, um,
596
00:31:34.055 --> 00:31:36.275
and you were talking about data and,
597
00:31:36.415 --> 00:31:41.275
and, you know, uh, okay, so you have multiple drivers, uh,
598
00:31:41.305 --> 00:31:45.035
driving the same vehicle, you know, then
599
00:31:45.215 --> 00:31:47.395
how does the AI determine, okay, well, when it's,
600
00:31:47.595 --> 00:31:48.715
I guess it's when it's this driver,
601
00:31:49.535 --> 00:31:52.475
the car gets a better performance versus this driver.
602
00:31:52.855 --> 00:31:54.475
So right. Either, you know,
603
00:31:54.475 --> 00:31:56.155
either give this driver more training
604
00:31:56.215 --> 00:31:58.595
or put him in an ice vehicle because he gets Right,
605
00:31:58.595 --> 00:31:59.595
Right. He gets
606
00:31:59.595 --> 00:32:00.395
better mileage out
607
00:32:00.395 --> 00:32:01.675
of an ice vehicle than he does out
608
00:32:01.675 --> 00:32:03.595
of an EV vehicle, something like that.
609
00:32:03.655 --> 00:32:05.755
So, I mean, talk about complex.
610
00:32:05.755 --> 00:32:09.475
There's so many factors to, to be, uh, taken in,
611
00:32:09.655 --> 00:32:10.915
uh, to consideration here.
612
00:32:10.915 --> 00:32:13.435
It's, it's pretty exciting, but also very complex.
613
00:32:13.635 --> 00:32:15.075
I can, so you're, you got a tough job.
614
00:32:15.705 --> 00:32:17.555
That committee of yours is a tough job. Well,
615
00:32:17.935 --> 00:32:20.315
You know, when you were, you just said, um,
616
00:32:20.645 --> 00:32:21.755
based on the driver.
617
00:32:22.215 --> 00:32:25.075
And so it made me kind of laugh
618
00:32:25.075 --> 00:32:29.595
because I thought if you go to what happened with Hertz
619
00:32:29.595 --> 00:32:33.035
and them removing all of their Teslas, um,
620
00:32:33.795 --> 00:32:38.755
I have said from the beginning that was not a Tesla issue
621
00:32:38.855 --> 00:32:42.125
or an EV issue that was an education issue.
622
00:32:42.125 --> 00:32:45.245
Mm-Hmm. And so maybe we need AI
623
00:32:46.265 --> 00:32:50.165
as the person comes up to get a rental to say whether
624
00:32:50.235 --> 00:32:53.925
that person would be a good candidate for an EV or not,
625
00:32:53.925 --> 00:32:55.685
because maybe that was the problem.
626
00:32:56.135 --> 00:32:59.205
There were too many people trying to be forced into one.
627
00:32:59.555 --> 00:33:00.565
They didn't want it.
628
00:33:00.565 --> 00:33:03.165
They were scared, they didn't think that, you know,
629
00:33:03.165 --> 00:33:05.165
it would get the range that it needed.
630
00:33:05.505 --> 00:33:06.725
Um, you know,
631
00:33:06.725 --> 00:33:09.045
and I heard horror stories of nobody knowing how
632
00:33:09.045 --> 00:33:10.725
to turn the windshield wipers on,
633
00:33:10.825 --> 00:33:13.765
and, you know, so there is kind of that education.
634
00:33:13.945 --> 00:33:18.445
So like, we wouldn't put my mom and my dad in one, you know,
635
00:33:18.585 --> 00:33:22.285
but you might put my daughter in one who's technologically
636
00:33:22.455 --> 00:33:25.925
savvy and may wanna drive one to see if she wants one.
637
00:33:26.505 --> 00:33:29.765
Um, but yeah, so I think we should push that
638
00:33:29.765 --> 00:33:32.045
for rental companies looking at the person.
639
00:33:33.795 --> 00:33:35.445
It's, it's interesting,
640
00:33:35.445 --> 00:33:38.405
and I don't even know if the AI would necessarily help.
641
00:33:38.605 --> 00:33:42.525
I mean, the out of town visitor use case
642
00:33:43.135 --> 00:33:46.285
where you're not just twiddling around the city,
643
00:33:46.425 --> 00:33:49.805
but you're using it on a trip, uh, is a definitely one
644
00:33:49.805 --> 00:33:51.965
of the tougher EV use cases.
645
00:33:52.345 --> 00:33:55.575
So, um, yeah, I certainly think
646
00:33:55.575 --> 00:33:57.495
that we're gonna see more EVs
647
00:33:57.515 --> 00:34:00.735
and, uh, more dense city environments.
648
00:34:01.165 --> 00:34:04.175
Yeah. Um, I, I'm surprised that you're able
649
00:34:04.175 --> 00:34:05.615
to do 30 miles away
650
00:34:05.675 --> 00:34:08.935
or 30 minutes away as your, uh, local charger.
651
00:34:09.845 --> 00:34:12.575
Well, I have one in my house, so, you know,
652
00:34:12.775 --> 00:34:15.855
I charge every, every night, or not every night,
653
00:34:15.875 --> 00:34:18.015
but I probably charge every other day or so.
654
00:34:18.115 --> 00:34:20.855
But like, I just drove mine to North Carolina
655
00:34:21.075 --> 00:34:22.775
for the Auto Intel Summit,
656
00:34:23.475 --> 00:34:27.175
and everybody was like, you, you drove, well,
657
00:34:27.175 --> 00:34:29.015
how many times did you have to stop and charge?
658
00:34:29.235 --> 00:34:30.535
How long did you have to charge?
659
00:34:30.555 --> 00:34:32.855
And I was like, I only had to stop twice,
660
00:34:33.595 --> 00:34:36.815
and I didn't have to charge as long as I did,
661
00:34:36.835 --> 00:34:39.695
but I started watching a Netflix show that was 30 minutes,
662
00:34:39.795 --> 00:34:43.535
and I wanted to finish it, so I just did a full charge, um,
663
00:34:43.565 --> 00:34:45.535
that way I didn't have to stop a third time.
664
00:34:45.795 --> 00:34:49.215
So it was like, a lot of it just depends on, you know,
665
00:34:49.435 --> 00:34:52.935
how fast you wanna get there, which I am one, let me go in,
666
00:34:53.115 --> 00:34:55.575
get a drink, get a snack, sit in my car,
667
00:34:56.085 --> 00:34:59.175
walk my dog a little bit, you know, so it,
668
00:34:59.595 --> 00:35:00.695
to your point, yes.
669
00:35:00.875 --> 00:35:03.095
You know, if I don't wanna stop for 30 minutes,
670
00:35:03.095 --> 00:35:05.735
then I may not want to run an ev.
671
00:35:05.955 --> 00:35:06.955
But,
672
00:35:07.435 --> 00:35:09.645
Well, to your point on education and,
673
00:35:09.665 --> 00:35:12.365
and this, this will kind of wrap it up for us
674
00:35:12.365 --> 00:35:13.365
as we're coming up on time,
675
00:35:13.425 --> 00:35:17.365
but, um, I still say that even dealers have a,
676
00:35:17.725 --> 00:35:21.765
a opportunity to play a role in that education
677
00:35:21.825 --> 00:35:24.605
and also win a lot of, uh, customer loyalty.
678
00:35:24.605 --> 00:35:27.965
Because let me tell you, if my Volkswagen dealer, I,
679
00:35:28.005 --> 00:35:30.605
I drive an ID four, if my Volkswagen dealer said, Hey,
680
00:35:30.625 --> 00:35:33.365
we have a, a couple of new classes that, you know, free,
681
00:35:33.705 --> 00:35:36.365
you can come and, and learn the ins and outs of your vehicle
682
00:35:36.505 --> 00:35:38.485
and why you should only charge to 80%.
683
00:35:38.585 --> 00:35:41.645
And, and then we'll a, you know, ask, you can ask questions
684
00:35:41.785 --> 00:35:44.445
and where, you know, someone would take the time to
685
00:35:45.235 --> 00:35:46.725
explain all the quirks and,
686
00:35:46.905 --> 00:35:51.335
and, you know, details of driving an av, I might, you know,
687
00:35:51.385 --> 00:35:54.135
stick with the ID four, even though it's super quirky,
688
00:35:54.155 --> 00:35:56.255
but they took the time, you know, to Yeah.
689
00:35:56.255 --> 00:35:58.655
To educate. So, I, I, you know,
690
00:35:58.855 --> 00:36:00.095
I don't know why dealers aren't doing that.
691
00:36:00.095 --> 00:36:01.495
Maybe there are some out there that are,
692
00:36:01.595 --> 00:36:04.135
but I, to your point, there's a lot of education
693
00:36:04.135 --> 00:36:05.175
that still needs to be done.
694
00:36:05.445 --> 00:36:08.295
Yeah. Uh, and I think they could fill that gap very easily.
695
00:36:08.845 --> 00:36:12.415
Yeah. Well, um, thank you so much for your time.
696
00:36:12.835 --> 00:36:16.335
We are, uh, gonna wrap it up as we have started doing
697
00:36:16.645 --> 00:36:18.935
with a fun lightning round, if you're okay with that?
698
00:36:19.675 --> 00:36:22.015
Yes. Awesome. All right, here we go.
699
00:36:22.765 --> 00:36:24.665
So what was your dream car when you were a kid?
700
00:36:25.805 --> 00:36:30.305
So Dream Car was probably the back to the future DeLorean.
701
00:36:30.845 --> 00:36:32.385
Oh, yeah. But
702
00:36:32.585 --> 00:36:34.345
I also, I had,
703
00:36:34.485 --> 00:36:38.865
my first car was a 1986 Camaro Z 28
704
00:36:38.865 --> 00:36:42.705
with T Tops Red, and that was kind of pretty awesome too.
705
00:36:42.925 --> 00:36:44.705
So I think that was my dream car
706
00:36:45.235 --> 00:36:47.225
minus the back to the future DeLorean.
707
00:36:47.835 --> 00:36:51.655
That's a sweet car. My gosh. Um, all right.
708
00:36:51.845 --> 00:36:53.975
Best decades, seventies, eighties, or nineties.
709
00:36:55.005 --> 00:36:58.215
Okay. So I'm gonna have to go with music here.
710
00:36:58.435 --> 00:37:00.455
So I'm a huge Rod Stewart fan,
711
00:37:00.875 --> 00:37:04.215
and if you think of Rod, most people think of the seventies,
712
00:37:04.285 --> 00:37:06.695
even though he's, you know, every decade
713
00:37:07.275 --> 00:37:08.855
is great for Rod music.
714
00:37:09.515 --> 00:37:12.775
Um, but so I was born in the seventies,
715
00:37:12.775 --> 00:37:13.895
so I'm gonna go seventies.
716
00:37:14.395 --> 00:37:18.535
All right. All right. Um, uh, godfather or Star Wars.
717
00:37:19.855 --> 00:37:23.315
So in kindergarten I had a princess lay a lunchbox,
718
00:37:23.415 --> 00:37:24.915
so I'm going Star Wars.
719
00:37:25.545 --> 00:37:28.035
Nice. All right. Finish this sentence.
720
00:37:28.595 --> 00:37:29.635
Electric vehicles are
721
00:37:30.985 --> 00:37:33.285
All I ever want to drive and own.
722
00:37:34.945 --> 00:37:37.345
I love it. I love it. Alright.
723
00:37:37.345 --> 00:37:39.225
Finally, what's the most exciting thing
724
00:37:39.225 --> 00:37:40.825
for you about the automotive industry?
725
00:37:42.305 --> 00:37:46.415
You know, there's so many things.
726
00:37:46.675 --> 00:37:50.455
If you're talking industry specific, I just
727
00:37:51.005 --> 00:37:52.175
love the people.
728
00:37:52.715 --> 00:37:56.095
Um, I love everything about the community,
729
00:37:56.475 --> 00:38:00.655
and it's like the, the world that we are in is sort
730
00:38:00.655 --> 00:38:03.775
of this like, hidden little nugget that nobody knows about.
731
00:38:04.075 --> 00:38:06.775
And so I think we're all really protective over it.
732
00:38:07.435 --> 00:38:11.055
Um, but automotive as a whole, um,
733
00:38:12.335 --> 00:38:16.575
I love that we're talking about AI and technology
734
00:38:16.875 --> 00:38:19.415
and all of the things that we're gonna see in the future.
735
00:38:20.035 --> 00:38:22.295
You know, I remember watching the Jetsons
736
00:38:22.295 --> 00:38:24.895
and thinking, are we gonna have driving cars in my lifetime?
737
00:38:25.235 --> 00:38:28.255
And I think we might have driving cars in my lifetime.
738
00:38:28.355 --> 00:38:31.255
Mm-Hmm. So, um, I just, I think that
739
00:38:32.575 --> 00:38:35.245
the unknown, like, I have chill bumps,
740
00:38:35.245 --> 00:38:36.405
like with this question.
741
00:38:36.705 --> 00:38:39.605
Um, it just, I love everything about it,
742
00:38:39.705 --> 00:38:43.245
but I love that we never know what we're gonna get.
743
00:38:43.545 --> 00:38:47.485
We never know how the consumer is going to really buy in,
744
00:38:48.105 --> 00:38:53.045
and we get to help kind of navigate all of that,
745
00:38:53.585 --> 00:38:56.925
um, and on the side that we are on.
746
00:38:57.265 --> 00:39:01.845
And so, yeah, I think technology and, uh, people,
747
00:39:02.635 --> 00:39:04.085
Yeah, I, I would agree with that.
748
00:39:04.085 --> 00:39:08.405
And, but I will say, uh, the, whoever makes a flying card
749
00:39:08.405 --> 00:39:10.965
that sounds like the Jesse Mobile,
750
00:39:11.565 --> 00:39:13.445
I think we'll win out in the end.
751
00:39:13.625 --> 00:39:16.445
Yes. Purely because of the sound, right? Yeah,
752
00:39:17.145 --> 00:39:18.145
100%.
753
00:39:18.385 --> 00:39:23.285
Yes. And I'm still waiting on, um, my maid too. My,
754
00:39:23.545 --> 00:39:24.965
Oh, Rosie. Yes, Rosie.
755
00:39:25.185 --> 00:39:27.245
Yes. Thank you. I'm still waiting on Rosie, so.
756
00:39:27.535 --> 00:39:29.525
Right. I thought the Roomba was gonna be it,
757
00:39:29.625 --> 00:39:31.365
but the Roomba's, no. Rosie.
758
00:39:32.065 --> 00:39:35.525
No, not at all. In fact, I'm not even, I'm not even happy
759
00:39:35.525 --> 00:39:37.285
with our Roomba, but that's a whole other podcast.
760
00:39:39.015 --> 00:39:41.645
Right. Well, thank you so much, Jamye. It's been a pleasure.
761
00:39:41.745 --> 00:39:43.205
And thank you so much, mark, as always.
762
00:39:43.945 --> 00:39:46.005
Yes, thank you. Thank you so much.
763
00:39:47.025 --> 00:39:48.765
Thanks for listening to The Mile Marker podcast.
764
00:39:49.225 --> 00:39:51.645
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765
00:39:51.735 --> 00:39:53.285
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766
00:39:53.625 --> 00:39:56.365
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767
00:39:56.365 --> 00:39:58.285
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768
00:39:58.705 --> 00:40:01.085
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769
00:40:01.105 --> 00:40:03.165
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770
00:40:03.165 --> 00:40:06.005
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