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Barbara and Ernesto AI discussion — Transcript

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0:00Most people are not really using AI in a
0:02meaningful way in our industry yet.
0:04>> and I wanted to do is introduce AI or
0:06automation into geofencing. Because why
0:10is geofencing important? Because it
0:12leads to foot traffic.
0:14There's a formula that could be
0:15programmed into your website or into
0:17your landing pages that basically lets
0:19the user know when they click onto your
0:22site what location of yours is nearest
0:25to that.
0:2662% of laundromat owners are actually
0:29still not doing any kind of marketing
0:33and nor are they even trying to get
0:35their stuff listed on Google.
0:38>> Hey, hey, what's up guys? It's Jordan
0:39with The Laundromat Resource Podcast.
0:41This is show 247.
0:45And I'm pumped you're here today cuz
0:46today we have back on the show Barbara
0:49and Ernesto with Colarian Wardell,
0:52marketing and ad agency. And listen,
0:55we're talking all things AI. This is
0:57like an AI masterclass today and how you
1:01can use AI in your laundromat business.
1:03There are things that you can implement
1:06yourself. There's some pretty incredible
1:07things that they can implement for you
1:09and your business. And we just talk
1:12AI in general and how we can use it to
1:15improve our lives and our businesses.
1:17Fascinating episode. AI is all the rage.
1:19It's moving super fast. Things are
1:21changing so quickly that uh I don't
1:24know, maybe we may have to have a
1:26semi-regular AI podcast episode cuz it's
1:29changing so quick. Uh but without
1:31further ado, let's jump into Oh, before
1:34we jump into it, actually, I wanted to
1:36mention Barbara and Ernesto and I are
1:39going to be doing a live Q&A talking all
1:42things AI and being able to uh allow you
1:45to ask questions about AI or some of the
1:47things we talked about in this episode.
1:49That's coming up May 21st, 2026 uh
1:53at 2:00 p.m. Best Coast West Coast time
1:57and 5:00 p.m. East Coast time. So, be
2:00there for that for sure. Get your
2:02questions in all things AI for your
2:04business and I know you're going to be
2:06blown away by what's
2:08what's possible here with AI in your
2:11little old laundromat business or little
2:13old laundromat empire you got building
2:15over there. So, you might have questions
2:17about how to apply it specifically to
2:18your specific business. Bring it to that
2:21live Q&A. Again, that's May 21st uh 2:00
2:24p.m. Pacific time 5:00 p.m. East Coast
2:27time and I be on the lookout for an
2:30email with more details about that.
2:31That'll be hosted on YouTube live on my
2:34LinkedIn channel, maybe some other
2:36places, but definitely on YouTube at the
2:38Laundromat Resource YouTube channel. By
2:40the way, if you haven't subscribed over
2:42there, I haven't
2:43I haven't pointed anybody over there in
2:45a little while.
2:46While you're over there reserving your
2:48spot for that live Q&A,
2:50uh go ahead and give us a
2:51give us a subscribe.
2:54Uh so, yeah. I can't even say it. It's
2:56been so long since I've asked. But, go
2:57give us a subscribe over there. Lots of
2:58good stuff happening all the time on the
3:01Laundromat Resource Laundromat Resource
3:04YouTube channel including that live Q&A.
3:06So, all right. Now, without any further
3:07ado, let's jump into it with Barbara and
3:10Ernesto.
3:12Oh man, back on the show Ernesto and
3:15Barbara. How are you guys doing today?
3:17>> We're doing great.
3:18>> We're happy to be back with you. It's
3:19been it feels like it's been way way way
3:21too long.
3:22>> Way too long, definitely.
3:24>> Yeah. Well, you know, you know my
3:25feelings on this as if it's been more
3:27than a day, it's been too long. We
3:29should just be hanging out every day.
3:30[laughter] You know what I mean?
3:31>> We don't live in heaven like you do.
3:33You're in
3:34the heavenly bliss of Hawaii. So, yeah.
3:37>> Yeah. Where where mortal people live,
3:39you know?
3:41Where the weather changes and it's you
3:42know, cold and icy and I just I want you
3:45guys to know that Pink plays in Hawaii.
3:47So, you guys maybe just need to come out
3:49here and
3:50make it to
3:52>> We're going.
3:53>> We should do we should do one of these
3:55on the beach one of these days, you
3:56know, maybe we can get a pink couch and
3:57throw it in the sand.
3:58>> Cuz we love the beach.
4:00>> Yeah. Yeah. That'd be good. Well, hey,
4:02uh super excited to have you guys back
4:04on the show. This one I'm excited about.
4:06We've been kind of chatting a little bit
4:07about what to talk about and uh
4:09we're we're going so straight to the hot
4:11spot right now. We're hitting AI.
4:15Um and real quick before we jump into it
4:16though, I want to just give you guys a
4:18quick opportunity to if if you haven't
4:21heard who Ernesto and Barbara are,
4:24Clarian Wardell, uh tell us uh who you
4:27guys are and then you guys who are
4:29listening
4:30go back and listen to their previous
4:31episodes, too. But who are you guys?
4:33>> Um well, now we we have a lot of titles
4:36now.
4:37>> [laughter]
4:38>> But um we started a geofencing company
4:41and uh we have
4:44grown our marketing and everything with
4:47AI and everything else. So, what How do
4:50you want to wrap it up?
4:51>> So, yeah, um Barbara and I got started
4:54uh I think three or four years ago.
4:56>> Yeah, almost four years now.
4:58>> Four years ago. Four years.
4:59>> And I have been doing geofencing a
5:00while. It
5:02you know, start off with working with
5:03the biggest operators in the business
5:06and you know, driving
5:08I mean
5:10right off the gate we were doing like
5:115,000 plus visits a month. And then
5:14Barbara and I joined forces. And
5:18then we had a we appeared on your
5:19podcast. And the interesting thing about
5:22that conversation we had is you know,
5:26Barbara and I were always thinking about
5:29how do we take technology and use it for
5:32our business and then use it for our our
5:34clients and take it to the next level.
5:36And at that point, I don't even know if
5:38it was called but there were there were
5:39platforms around back then called Make.
5:42Um so, Make is like you could think of
5:44it like a no-code way to do automation.
5:48So, automation at that point was really
5:51basic.
5:52Uh I had messed around with automation
5:54with Instagram in around 2015. That's
5:58when I really got into looking at
6:00automation, but then um Meta shut us
6:02down. Any anytime a third-party
6:04integration you did into when they
6:06acquired Instagram, they shut you down.
6:08So, my background for for automation
6:11goes way back then, but that we touched
6:13on it with our very first podcast uh
6:16talk together because what Barbara and I
6:19wanted to do is learn how to automate or
6:22introduce AI or automation into
6:25geofencing. Because why is geofencing
6:27important? Because it leads to foot
6:29traffic. So, this discussion is sort of
6:32like a long time coming.
6:34And it's a culmination of really what
6:36began
6:38back in 2015 with Instagram automation.
6:41And then uh getting into geofencing and
6:43then Barbara and I partnering up and
6:45appearing on your podcast.
6:46>> And we made a lot of promises to our
6:48customers that we would stay right on
6:51top of uh all the technology and we have
6:54kept that promise to this day. It's a
6:56lot of work, but we have done it.
6:58>> true.
6:59>> I think that'll be evident uh by the end
7:01of this thing as we start digging into
7:04uh
7:04into it. But let's let's uh let's you
7:07know, AI can be an intimidating
7:09topic for some people to talk about. A
7:11lot of people aren't living in it,
7:13breathing it, eating it, sleeping in it
7:15like you guys are. And all they know
7:17about
7:19uh AI is maybe a little bit about
7:21ChatGPT and how it's going to take over
7:23the world and enslave us all. So,
7:25uh let's maybe start with, you know, how
7:28how do you guys look at AI? What is AI?
7:30What do we need to know uh high-level
7:33about AI?
7:35>> Most people think about AI like Alexa or
7:39Siri or ChatGPT.
7:42And that AI is a language model
7:47and most products that most people have
7:50experience with would be a large
7:52language model with a wrapper.
7:54So, what I mean by that is if
7:57you're using a chat widget with no tools
8:01on your your website, then you're using
8:04a basic version
8:06of AI, which is basically chat GPT given
8:09a few instructions to answer a few
8:12questions on your website and that's
8:16basically what what people think of as
8:18AI.
8:19Um people think AI can freely think and
8:23and in some ways it can. It it depends
8:25on what you plug
8:26um a model into
8:27>> that right, the information you give it.
8:29>> and and the guardrails that you give it.
8:31But uh what AI actually is and where it
8:34becomes useful
8:35is
8:37a a large language model could be the
8:40example, a real-world model that where
8:42it knows proprioception is another
8:43example, but it has tools.
8:46So, if you see self-driving cars, you
8:49know, I spent a lot of time pitching at
8:51the Capital Factory in Austin and
8:53everywhere I went was with a
8:55self-driving car.
8:57Uh we had our food delivered by robot
9:00and uh that is AI in the real world
9:03where you give it a tool, you give it a
9:05task, they can handle those tasks, you
9:08have metrics to uh to to verify and
9:11validate what work was done or what work
9:14was not done.
9:15And
9:16the reason why we're here is because I
9:18think that there's a large gaping hole
9:22in business, in particular the
9:24laundromat industry, the laundry
9:25industry, because there's all these
9:27tools now that don't have to do with
9:30large language model wrappers one
9:32and um that have tools that could do
9:34real work for you and actually can make
9:37you money from moment one.
9:39And that's the important thing. If
9:40you're using AI and it's just a chat
9:42widget on your site, that's a vanity
9:44thing. Uh that's really nice. You might
9:46as well have a gold belt buckle because
9:48it's really not doing much for you,
9:50right? Hold your pants up, that's it,
9:52but it's really not being fruitful for
9:54you. I was curious because you you
9:57talked to laundromat operators probably
9:59in more than one country by now, you
10:00know, you're you're all over.
10:01>> Yeah, yeah.
10:02>> So, I'm really curious what you're
10:04hearing,
10:05um what complaints you hear about AI,
10:07what good you hear about about AI in the
10:09laundry laundry industry, what you think
10:12is possible, all those kinds of things
10:14because I think you're you're at a great
10:16vantage point to hear things from from
10:18many different angles. So, what what
10:20have you heard about AI and and its
10:22application in the laundry industry?
10:23>> Yeah, I mean, uh
10:26I'll just shoot straight with you. This
10:27probably not going to be a surprise to
10:28you or maybe anybody, but I would say
10:30most people are not really using AI in a
10:33meaningful way in our industry yet. Uh
10:36I mean,
10:37you know, and we'll we'll we'll talk
10:38about this, I'm sure, but even even when
10:40it comes to just basic marketing without
10:42AI or anything, still a lot if not most
10:46laundromats are not even doing that. So,
10:49you know, the utilization of AI is we're
10:52in an infant stage. So, if you're out
10:53there and you're listening to this and
10:54you're like, "Oh man, I'm so behind the
10:56eight ball."
10:57Um there are a few people that you are
10:58probably behind in our industry, but by
11:01and large, you're okay. Um so, but with
11:04that said, there are some cool use cases
11:07uh out there of AI, you know, obviously,
11:11people are using uh chatbots, stuff like
11:13that on their websites. Um
11:16uh the sort of like the next level to
11:18that is um some of the answering
11:20services
11:21uh that are out there to be able to
11:23answer your phones. There's some of that
11:25out there. Some people are using that uh
11:28to to not miss out on customer service
11:30calls. Um I've heard
11:32some people using
11:34AI in some creative ways to kind of help
11:37them analyze uh some of the data they're
11:40getting from their POS systems or their
11:42their software.
11:44Um
11:44>> Okay, so they put it in there and then
11:46get a report out.
11:48>> Yeah, getting some reports and
11:49opportunities for growth, uh
11:51profitability problems. I mean, there's
11:53a whole lot of, you know, things like
11:54that that you can do
11:56uh with AI that people are doing. Um
11:59I've just started seeing and I'm
12:01surprised it's kind of taking this long
12:02actually, but I just started seeing some
12:03people in the industry who are
12:06um
12:06starting to vibe code some some
12:09dashboards or apps or things like that.
12:11We've, you know, we've got some stuff
12:12over here that that we put together,
12:13too, but um I've been seeing some people
12:16trying to, you know, get that out there,
12:18so I think that's kind of interesting.
12:20Um
12:22yeah, but, you know, in terms of like
12:24where we can go with this, I I mean, I
12:26think that we're, like I said, we're
12:28just scratching the surface and and
12:30still most people aren't utilizing it at
12:32all. Uh what are you guys seeing? You're
12:34You're talking to a lot of owners now,
12:35too.
12:37>> I'm seeing that the best operators in
12:39the industry are not using AI
12:41almost at a 100% level. Yes, they're
12:43using it in as a tool,
12:46ChatGPT as a tool or Claude as a tool,
12:49like you just said that they might, in a
12:50good way, they're they're using it maybe
12:53to vibe code some some
12:55of the assets that they need, but
12:58the best operators in the country are
13:00not
13:01they don't have any unified kind of
13:03platform. They have no unified
13:05communications, no unified way to manage
13:09their data.
13:10And whether in laundry or in medicine,
13:13we actually came up with the many of the
13:15tools that we're going to talk about
13:16today
13:17um by developing what's called Luke,
13:20luke.care. You can look at it. It's a
13:21telehealth platform that um peptide
13:25companies use, clinicians that um do
13:28telehealth and prescribe peptides that
13:30need to deal with blood work. So we took
13:32a lot of that technology and now we're
13:35coming back to the laundromat industry,
13:37not just to to we've always been doing
13:40geo fencing.
13:40>> never left it.
13:42>> [laughter]
13:42>> We never left it.
13:43That's a good point. But we're taking
13:45the tools that are used in telehealth
13:47that we
13:48developed and now we're offering them
13:51now that they're proven technologies. We
13:53now we're offering it to small business
13:55in a unified way for laundromat owners
13:58and you defined actually have a little
14:00outline here that you kind of um you
14:03mentioned, let me see if I can share my
14:05screen.
14:06>> While you're doing that, I I appreciate
14:08that you experimented first on the
14:10healthcare industry before you brought
14:11it into something serious like laundry.
14:13>> That's right. My
14:15>> we needed it proven.
14:17>> Seriously.
14:18>> Use it on human beings first if they
14:20don't die.
14:21>> The idea is if they don't die then we
14:23can use this totally for laundry.
14:25>> Yeah, for laundry.
14:26>> I guess it's okay.
14:28>> [laughter]
14:29>> So absolutely.
14:31So let me see if I'm sharing.
14:35Did that work?
14:37>> Yes.
14:38>> There it is.
14:39>> see it? Yep.
14:40>> That worked for you? Great. So what
14:42we're really talking about is
14:44opportunity and
14:47um
14:47I can totally understand we we talked to
14:49business owners in and out of the
14:51laundry industry that are really
14:52concerned about um their data one
14:56uh the quality of customer service two
14:59um but all the all those things could be
15:02mitigated, you know, with with great
15:04development um you know, like I said we
15:07built platforms that will pass HIPAA
15:09compliance
15:11um so if it works for the federal
15:13government and for for
15:15uh peptide clinicians it'll work for
15:17laundry. So but the main issue is that
15:20there's a lot of opportunities being
15:21lost. And it really starts with a
15:25disjointed systems.
15:27>> Right. And I'm trying to duct tape it
15:29all together and just kind of
15:32or not at all. You just use those ones
15:35or the other.
15:36>> Yeah, if if you really think about just
15:37>> a trick, too, right? Sorry, I didn't
15:39mean to interrupt you, but real quick,
15:40like that's a trick, too, right? Like
15:41anybody could dump something into a chat
15:43GPT or cloud or whatever and it'll spit
15:46out stuff. But when you have tools that
15:48need to communicate with each other to
15:50to to integrate and to create a full,
15:54you know, plan or even a full task list
15:56that either you're going to do or
15:58employees or AI itself will do, that's
16:00the tricky part, I think.
16:03>> Uh true, that is. And also, when you're
16:05using the each individual ones and then
16:07you're trying to put it to another one,
16:10you spend more time doing that than if
16:12you connect them all.
16:14You know, and making a flow so much
16:16faster and so much easier. But the
16:19intelligence has to be there, too.
16:21>> Yeah.
16:21>> Can't just put junk in there cuz you're
16:23only getting junk back.
16:24>> That's right.
16:24>> That is very true. That's true. That's
16:25[laughter]
16:26That is a wonderful point about AI. What
16:29you put in is what you get out. So,
16:32um if you're not using high-quality
16:35tools, if you're using out of the box
16:37AI, it's a good start, but it's going to
16:38be limited. It's like what Barbara is
16:40saying, it's going to be duct taped
16:41together.
16:42Uh there's no unified communications.
16:45And really what we hope to convey today
16:46is that whether you work with us or you
16:48work with,
16:49you know, engineers, developers, those
16:52engineers and developers would also want
16:54to put a unified platform together for
16:56you.
16:57Uh we just happen to have solved that
16:59for medicine and and which brings us to
17:01our conversation with we experimented on
17:04real human beings now.
17:05>> And more [clears throat] importantly
17:06now, laundry. Laundry for real important
17:09stuff.
17:10>> [laughter]
17:10>> So, tools don't talk. You know, your
17:13that chat widget on your site doesn't
17:15talk to clean cloud. That uh chat widget
17:18on your site doesn't talk to Sense.
17:21Um all those things are not talking to
17:23your, you know, not handling phone
17:26calls. It's not uh integrated with your
17:29email. It's all those things are
17:30disjointed. So, what we want to let
17:32people know is that
17:35the data is real. It says that more than
17:38half of the phone calls going to you
17:40going to your laundromat are not being
17:41answered.
17:43Um and a lot of times
17:45it's sad, but um people are
17:48people's attention span they they want
17:50things done if they wanted to do a
17:51drop-off or they want to they want to
17:53schedule for pickup. Um they want it
17:56done. They want it done now. So, and we
17:58can understand that, right? You're
17:59you're a parent and you've got stuff
18:00going on tomorrow. Uh you got a soccer
18:03game and you just realized that you're,
18:05you know, you try to let your
18:0611-year-old have some responsibility.
18:08They didn't get clothes in the washer
18:10nor the dryer. Now you have to get it to
18:12a laundromat. So, that's that's the
18:14problem that we're all here to solve.
18:15We're here to solve these customer
18:16service problems.
18:18But, when calls go unanswered, when
18:20emails go unanswered,
18:21>> It's a loss of money.
18:22>> when that chat widget is answering
18:24questions and it's not handed over to a
18:26human, we're just creating chaos with
18:28with with these tools we have and
18:30they're not really doing any work for
18:31us.
18:32>> And they're not going to come back.
18:33Well, everything's about instant. If
18:36you're not getting an answer, you just
18:37move on.
18:38>> Yeah. Well, in the in the I'd say maybe
18:41even a bigger deal than losing money is
18:45you're losing trust, right? You're
18:47customer trust erodes if call doesn't
18:49get answered. Like you said, they're
18:50just going to move on.
18:52>> true.
18:52>> They're not going to trust you anymore.
18:53And, you know, one thing I've learned
18:55doing business is
18:56if if you have trust, you can the money
18:59will come, right? You don't have to
19:01focus on getting the money. The money
19:03will come if people trust you.
19:06Um and, you know, like like you're
19:08saying, like if calls go unanswered or
19:11an experience is a bad one, and it
19:13erodes trust. And in today's world,
19:18that spreads like wildfire,
19:20>> [laughter]
19:20>> right? Like we've got Google reviews,
19:22we've got Yelp, we've got
19:24social media now that will
19:27put you on blast.
19:29And it adds up.
19:30>> It's cumulative. The those things that
19:32we're talking about um
19:35a
19:35wash dry fold order here and there.
19:38Actually, you know what we're going to
19:38talk about in a little bit, but I think
19:40wash dry fold there's so many cool
19:42things that can be done in terms of
19:43communications.
19:45And I think some of the things we're
19:46going to talk about are such low-hanging
19:48fruit that it's almost embarrassing
19:51that we're that we came up with
19:52solutions for it. You know what I mean?
19:54It's almost embarrassing like
19:55it's almost like reminding imagine
19:58having an app where you reminded your
20:00kids to brush your teeth, right? And And
20:02but think about this seriously. An app
20:03that reminded your kids to brush your
20:05teeth, how much you would save in in
20:07dental bills and fillings and how much
20:09of a healthier smile your kid would have
20:11over time if we just did these
20:13low-hanging fruit things. So, we want
20:16your laundromat not to have cavities.
20:18We're We're here to show you low-hanging
20:20fruit, things that you can do with or
20:22without us.
20:23Uh that's that's always our mission when
20:25we come on. You know, there's other
20:26companies out there that can do one each
20:30I don't want to say everything here, but
20:31at least one piece of the pie. There are
20:34companies out there that they can put
20:35together for you. But the problem
20:37becomes is that when you start with one
20:39issue and you start duct taping things
20:41together and you start dropping the ball
20:43on one thing,
20:44uh it becomes cumulative.
20:47So, um
20:49one of the things that we're seeing is
20:52right now,
20:53every industry is seeing this, is that
20:56people aren't Googling as much as they
20:58used to. I mean, have you Have you
21:00Have you heard of these new stories
21:02where people are all concerned about
21:03their Google placement now, Jordan?
21:04>> Mm. No. Fill me in.
21:07>> Yeah, so
21:09um I went to an uh what would you call
21:12that when you when a whole bunch of
21:13marketing and advertising people get
21:15together? What is that called? It's like
21:16an expo or a
21:17>> No, it's a mar- a marketing event. Uh
21:19the
21:22>> I went to one of those, whatever they're
21:24called.
21:24>> Yeah. Yeah, yeah.
21:25>> Those
21:25those marketing meetups where uh
21:28>> Yeah.
21:28>> Marketing party where
21:29>> [laughter]
21:29>> these agencies uh meet up at at uh Bell
21:33Labs and
21:34>> Or
21:35>> Yeah, so we met up at Bell Labs and
21:36there was about 500 um marketing and ad
21:39execs there. And
21:41a presenter came up and he started
21:43talking about how ChatGPT
21:46is is about is it now about 50
21:4950 might even be 51% of all search.
21:52And this is a room, by the way, that
21:54made all of its money
21:56on SEO.
21:57>> Yeah.
21:58>> They made all of their money on Google
21:59AdWords and Google AdSense.
22:02>> And suddenly the rug gets pulled out
22:05from under them because now it's about
22:08getting referred by ChatGPT.
22:10And there are owner-operators out there
22:12in laundry right now uh smartly
22:15uh adding some some code um to their
22:18site so that at least when ChatGPT
22:21scrapes their site or someone asks about
22:23it, there is some code on on sites out
22:26there where ChatGPT can at least give an
22:28answer. But over half of search right
22:31now in the rest of the advertising world
22:34has been eaten up by ChatGPT
22:37uh referrals. So
22:39>> It's not just ChatGPT though. We have,
22:42you know, all the other AI platforms as
22:45well. A lot of people
22:46>> Right.
22:47So another issue is that out of that, if
22:50you this is I think we were talking
22:51about this even before we started uh the
22:53official uh discussion, that 62% of
22:57laundromat owners are actually still not
22:59doing any kind of marketing.
23:02Nor are they even trying to get their
23:04stuff listed on Google.
23:06So,
23:07>> that's insane.
23:08>> It's a big deal.
23:09>> Yeah. Yeah. It's Well, and we've been
23:11talking about this for a while. Like,
23:12this is pretty low-hanging fruit in this
23:14whole, you know, just just being on
23:17Google, listing your services, keeping
23:19that updated, doing some basic
23:21marketing. All pretty low-hanging fruit.
23:24And, you know,
23:26but but I will say we've seen a huge
23:28jump in the number of laundromat owners
23:29who are starting to do that uh over the
23:32last 5 years or so.
23:34Um but this is the next low-hanging
23:36fruit, right? It's the chat GPT
23:39uh AI
23:40uh search and and search for answers as
23:44well.
23:45>> Yeah, these are things that can be
23:46addressed uh by AI for AI that don't
23:50cost an arm and a leg to do it. Um but
23:54what's interesting,
23:56you know, the industry it's a laundry is
23:58a 70 uh
23:597.2 billion dollar industry with 18,000
24:04locations.
24:05And but the industry's contracting
24:08each year by 1.5%
24:11on average. So, those are zombie mats
24:13that that are being spoken about. But a
24:16large percentage of this 1.5%
24:19is also
24:20these laundromats that
24:23are not letting the users know where
24:25they're found.
24:26And
24:27it goes to the low-hanging fruit that
24:29we're talking about. At the very least,
24:31you need to do the basics of marketing.
24:34AI can help you do it. But you have to
24:37you have to make that first step. Um 1.5
24:40is a is a in an industry where the
24:43people are looking to get into it, it's
24:45kind of interesting, right? The
24:46industry's contracting 1.5%
24:49but people are trying to get into it
24:51more and more. You know, every
24:53conversation that you have
24:55uh is someone looking to get into the
24:57laundry industry or save their business,
24:59right? They're looking They're They're
25:00coming to the Laundromat Resource to
25:02find new tools
25:04or they're looking to get into the
25:05industry and they want to hear from you
25:08and other industry uh, veterans. But
25:12nonetheless, the industry's contracting.
25:15It's quite shocking and I think a lot of
25:16it's because a lot of reinvestment into
25:19the basics is not being done. People are
25:20buying buildings, they're buying um,
25:23machines, but they're not reinvesting in
25:26the health of the way they're
25:29interacting with the public.
25:30>> And it's very important for foundation.
25:33All those for low-hanging fruit.
25:37>> That's right.
25:38>> Yeah. Yeah, and you know, it I think
25:41uh,
25:41it
25:43it is interesting to see kind of what's
25:45happening with
25:47uh, with the industry. I'd be I'd be
25:49interested to see
25:50um, I I am not sure that the industry is
25:55contracting
25:57in terms Well, I I think it might be
25:59contracting by number of stores.
26:02>> Yes.
26:03>> I'm wondering if our
26:05wash capacity and our revenue are
26:08actually increasing cuz we're we're
26:10seeing larger stores being built. We're
26:12seeing people put larger machines and
26:14and so that So but there's interesting
26:16dynamics here with all of that that's
26:18going on that's not related to
26:19necessarily what we're talking about,
26:21but
26:22um, but it kind of
26:23>> to stand corrected because it It is when
26:26when actually you look more into that
26:27data, you're you're right. It's the
26:30It's the number of
26:32stores that may be and and these
26:35individuals that are going out, but
26:37they're they're being absorbed or you
26:40have more growth in the financial side,
26:43but this other side that is certainly
26:45contracting. So I I think you're more
26:47accurate in my statement.
26:48>> Yeah, well, which I think actually kind
26:50of goes right along with your point,
26:51right? It's like, well, why is this
26:52happening? Well, it's because guess
26:54what? Now we're getting tools
26:57that we can utilize to own more
27:00laundromats, we can own them further
27:02away from where we are.
27:04Uh we can we can uh manage them better
27:07because we have more information and
27:09analytics about it because of the
27:10technology that's involved. And that's
27:13just going to increase
27:15as the stuff that we're talking about
27:17today continues to kind of grow in its
27:20influence on our industry uh here. So, I
27:23I mean, I think the the the point stands
27:25here that the number of stores is is
27:28diminishing, but it's because
27:30sophisticated operators who are running
27:33their business like a business are
27:34coming in, they're owning more stores,
27:36they're putting one large store in the
27:38middle of four small stores, and two of
27:40those go away, right? And so,
27:43uh
27:44it's interesting what's happening right
27:45now, and it does tie directly into what
27:48we're talking about today.
27:49>> Absolutely. I think and with the way
27:52that
27:53the economy and everything else is
27:55going, more and poorer people are
27:57renting than buying, and they do have to
27:59wash their clothes.
28:01You know,
28:02they're getting smaller and smaller the
28:04apartments that they are renting.
28:06>> Yeah, you would be amazed. I was just in
28:09Austin, and then I was back in
28:11Manhattan, and I was uh we have a client
28:13in Manhattan who was just telling us
28:14that he had no idea that the building
28:17that he's in, the entire building,
28:20he just found out
28:21does not they don't have their own
28:23washers and dryers. So, then we were
28:26talking about how to reach people.
28:28Uh it's a fairly new client. How to
28:29reach people within his own building.
28:31And uh but yeah, like these apartments
28:34are being built up, they're um they're
28:37all rentals, many of them are rentals
28:40uh in major cities, or not, and uh they
28:43don't have the washer and dryer capacity
28:44that you thought.
28:46>> Yeah.
28:47>> And so opportunities are there's
28:49opportunities of that abound there.
28:51Um so one of the main promises that we
28:53want to drive home today
28:55is that
28:56you can have your systems and your
28:59communications unified and it doesn't
29:02need to be overwhelming.
29:04Um there are ways if you if you remember
29:06Jordan some of our first conversations
29:09actually all of our conversations have
29:10eventually gotten back to don't give
29:13away free Wi-Fi.
29:14>> Yeah, yeah, [laughter] yeah.
29:15Don't give away Wi-Fi for free.
29:18And I was always like I was telling
29:20Barbara earlier
29:22I would let women know that if I'm going
29:24to the prom with you when I was in high
29:25school we're making out. Right?
29:27>> You got to yeah.
29:29>> There are no free rides here.
29:30>> Non-negotiable.
29:30>> free rides.
29:31>> If I'm putting a tux on yeah, come on.
29:34>> Absolutely.
29:35>> I love it.
29:36>> [laughter]
29:36>> So
29:37>> No, we
29:37>> There's a price for admission.
29:39>> Yeah, yeah, that is true. Um it was
29:41funny cuz we a lot of our customers we
29:44told them to go and get Bean Box.
29:46>> Yeah, we were telling
29:47>> You know, we had you know, no
29:50affiliation with them but we knew that
29:52that would work. And it's funny how
29:54we've been giving that advice for so
29:56long and now we found a way of solving
30:00that problem without going that route.
30:03Which is incredible.
30:04>> So stop giving away free Wi-Fi. It is
30:07>> What do you mean by that thing?
30:08>> What do you mean by that? What do
30:09[laughter] you What do you mean by that?
30:11I know we've talked about it in the past
30:12but I mean what do you mean? Like
30:15>> We would always refer people
30:17So
30:17>> No, well
30:18>> Well, you Well, we'll we'll explain it
30:20right now. So
30:21>> do it. That's what I'm talking about.
30:23>> So you're paying right now
30:25money, right? Couple hundred bucks
30:26depending on how many locations you have
30:29because you're you're basically giving
30:31away Wi-Fi and people just sign on and
30:33that's
30:34that is the first touch in your store
30:37where you're losing an opportunity to
30:39build a the
30:41So there's other places where that's
30:43being done, right? Um if you're heavy on
30:46Instagram and heavy on Facebook and
30:50what you know
30:51one of my buddies is big in the peptide
30:53world just had his uh Facebook for no
30:55reason taken away.
30:57And uh his Instagram was also taken
30:59away. There's your relationship. Your
31:00relationship is gone. Well, in the
31:03laundromat industry, you have these
31:04people walking into your store
31:06and you have a captive audience for
31:08about an hour.
31:10And when they're in your store
31:12they're they're using your Wi-Fi. It's
31:15very few people don't want to know what
31:17your Wi-Fi password is. In fact, if
31:20besides do you sell detergent, it's
31:21what's your Wi-Fi password, right?
31:23>> Mhm.
31:24>> And if you're just giving away Wi-Fi and
31:26you're not using it as a tool
31:29then you're missing the opportunity. So,
31:31on visit one, depending this this
31:33cadence, you know, can be customized.
31:36But, on visit one, you know, you should
31:38be grabbing their information so you can
31:39send them a welcome email letting them
31:41know what services you have.
31:43And
31:45with the platform that we developed um
31:48you have to leave a Google review. So,
31:50before you can access Wi-Fi, you have to
31:53leave a leave a Google review. You also
31:56have to opt in to receive emails and or
31:58text messages.
32:00And um
32:02with the way we have our Wi-Fi set up,
32:04it's software only. It's not hardware.
32:06We don't have to send you a piece of
32:07hardware to do this. You simply enter in
32:09a snippet of code into your Wi-Fi router
32:12and our platform does the rest. It hooks
32:15you but at the very least, if you think
32:17about this, if you do nothing else
32:18today,
32:20you can use Beanbox or you can use us.
32:22Do not give away free Wi-Fi. You're
32:23missing the opportunity
32:25to develop a communication cadence with
32:29your people. You can in- instantly get a
32:31Google review. You can instantly have
32:33them opt in for email and text
32:35messaging. And every time they come in,
32:38the system knows our system knows if
32:40it's a repeat visit or if it's a new
32:42visit. So, whether or not you're doing
32:45geofencing, it doesn't matter. We can
32:46validate visits for you and we can know
32:49if those devices are new devices or if
32:52they're repeat devices.
32:53So, it's a huge opportunity if you just
32:57think about we have clients
33:00if you go with the natural number is we
33:01have one client that gets about 30,000
33:04across their places 30,000 visits
33:07a year, right? So,
33:10imagine
33:12if we had done this technology with them
33:14and for them say when they started with
33:16us, right? How their email database
33:19would be 30,000 deep now.
33:21>> That low-hanging fruit would have been
33:23amazing.
33:24>> Well, and I I just interject and I'll
33:26say that I've been I've been saying this
33:28for a long time. I think email marketing
33:31is the most underutilized
33:35highest ROI
33:37thing that we can be doing. So, I mean
33:39and it starts with capturing that
33:41information uh you know, from them as
33:44well. And I want to say uh before I let
33:47Ernesta go cuz then I might not get to
33:48say anything anymore.
33:49Uh
33:50>> [laughter]
33:50>> I know, isn't that a problem sometimes?
33:53>> man.
33:53>> And he says I talk a lot.
33:55>> Yeah.
33:56>> [laughter]
33:56>> That's cuz he's
33:57>> We have lots of video on this, so it's
33:59subject
33:59>> we got evidence.
34:01Uh no, but I wanted to say too, I mean,
34:03just being in people's inbox is a huge
34:05win automatically. Telling them you
34:08know, what services you have, getting
34:10that Google review. We've talked about
34:11how that's a low-hanging fruit as well.
34:14As long as you're providing a good
34:15service, don't get a bunch of bad ones.
34:17Um and being able to kind of re-engage,
34:19I mean, kind of what you're outlining
34:20here, all huge. But one other thing that
34:23you don't mention here that I think is
34:24huge. Well, you kind of do a little bit,
34:25but
34:26that I think is huge about the
34:29opportunity with what you're saying is
34:32um I've been I've been kind of spouting
34:33off a little bit about branding lately
34:35and we had Bo Parapera back on the show.
34:39We were talking about branding and
34:42I think that branding is getting more
34:44and more important. I think it's going
34:45to be hugely important going forward.
34:47We're seeing brands like Tide come in
34:50and you know, people know that brand.
34:53They will drive by a mediocre laundromat
34:55to go to a Tide laundromat. I don't
34:58think that's true for all franchises,
34:59but for that franchise it's true.
35:02>> all chemicals.
35:03>> That's right. [laughter] Yeah, but but
35:05it's known chemicals. That's the thing.
35:07Known and accepted chemicals [laughter]
35:09widely.
35:10But
35:11this gives you a huge opportunity. When
35:13we talk about branding all we talk about
35:15or all we mean is do people know you?
35:18Like do people know you? And how do they
35:20think about you when they know you? This
35:22is a huge opportunity to not just be
35:25a laundromat random laundromat you went
35:27to,
35:28but to be known by your customers and
35:30that builds brand loyalty. That builds
35:35trust which we already talked about and
35:37that builds your revenue stream also
35:39when it comes down to it.
35:41>> So it all works out together.
35:42>> That's right.
35:43That's right.
35:44So I think this is hugely powerful all
35:46that to say and you know, I know we talk
35:48about email not giving away free Wi-Fi I
35:51mean all the time, but I think for good
35:53reason.
35:54>> Yeah.
35:55Definitely want to maintain
35:58a good connection with them. Emails are
35:59a wonderful way to do it. You don't have
36:01to send an email everyday like Spirit
36:03Airlines does.
36:05>> [laughter]
36:05>> That would get annoying anyway.
36:07>> But as annoying as riding on Spirit
36:09Airlines.
36:11>> Oh god, I've never done that.
36:12>> But you know what Jordan? Back to your
36:14point about branding, their very their
36:16emails are very funny.
36:17>> Yeah.
36:18>> If you're going to email someone
36:19everyday, you better be funny.
36:20>> Yeah, that's right.
36:21>> So they're actually pretty funny and
36:23pretty clever emails.
36:26So we were talking about um the
36:28difference between a basic chat widget
36:31which is a large which is a chat GPT
36:33wrapper or a Claude wrapper or some
36:37other, you know, AI platform wrapper
36:40versus what an agent is, what a what a
36:43AI agent is. And an AI agent is
36:45something that basically can do work for
36:48you.
36:49It um it know it doesn't just handle
36:51your hours. It doesn't just handle uh
36:55basic questions. Uh we have clients that
36:58use um our chat widgets and our phone
37:01agents to check what their balance is on
37:03their card. So,
37:05that is
37:06low-hanging fruit because
37:09I can tell you right now uh we get
37:10reports of what every intera- every chat
37:13interaction is for each one of our
37:15clients and the top uh question is is
37:19not your hours or where are you located.
37:21It's from existing customers with
37:23questions like, "How much do I have on
37:25my card balance?"
37:26So, answering questions like this and
37:29then enabling them to refresh their
37:32balance online through the agent is
37:36very important because now you're
37:38removing a step an extra step that the
37:40user needs to make. You're enabling them
37:43to do that right there when they're ans-
37:45asking their question. You're enabling
37:47them to make make more purchases right
37:50then and there. So, um it's good if
37:52you're using a chat widget, but I
37:54recommend that you give your widget
37:58um some tools and if your widget doesn't
38:00have tools, then
38:01uh you need to get an agent and um an
38:04agent is something that can actually do
38:06work for you.
38:07>> And an agent gives you time.
38:09It frees you up answering those little
38:11things that would have taken you time to
38:13do.
38:14Which is very important.
38:16>> Well, and one other thing. I mean, I'll
38:18just I'm going to I'm I'm to be a little
38:20vulnerable with you guys here. Uh
38:23one thing I've learned about myself and
38:25I think it's true of a lot of
38:26entrepreneurs, business owners, is
38:31doing the same things over and over gets
38:32really boring. And so if I've realized
38:35that if I want those things to get done,
38:37for example, editing this podcast, shout
38:39out to Tristan, uh if
38:42I want it to get done, I've got to
38:45have somebody reliable who can get it
38:48done.
38:49>> Done.
38:49>> Cuz if it relies on me, it's going to be
38:52spotty at best, right? And that and you
38:54know, I think we're probably get to the
38:56get to this point of if we uh are
38:59missing phone calls and things like
39:01that, that gets real costly. That that
39:04affects the top line and eventually the
39:06bottom line for us in a real way. So if
39:09we want things to get done,
39:11let's get it to
39:12>> Very important.
39:13>> people or tools that are going to get it
39:14done for us.
39:16>> One of the other things we see that's
39:17disjointed is it no matter what
39:21ad your ad platform you're using, if
39:24you're doing Google Ads or you're using
39:28um
39:29there's plenty people that do social
39:30media ads out there that are really
39:32good,
39:33but
39:35a lot of the population in America
39:37speaks more than one language. And the
39:39two most common are English and Spanish.
39:42So if you're not delivering your ads
39:45with language detection,
39:47then you're missing an opportunity or
39:50you're overspending on your ads and and
39:52>> Yeah, that's what we used to do,
39:53remember?
39:54>> We used to have to
39:56>> And so we used to have to um to ads in
39:59in say Spanish and in English. So we had
40:02so many ads because you didn't want to
40:05deliver that ad to a customer and that
40:09wasn't their native language, right? So
40:11we would have to work even harder and
40:13spend more ad spend to segregate those
40:17ads for those populations when they came
40:20in contact with them. Now with the
40:22language detection, it automatically
40:24picks up the fact that they're speaking
40:28Spanish because of their their context
40:30in their phone, right? Is that what it's
40:32called?
40:32>> Sure. So we engineered I did the
40:35engineering part. So when someone is
40:38browsing the news
40:40in Spanish because that's the language
40:42they speak at home,
40:44you want to deliver their ad to them in
40:46Spanish. And vice versa, by the way.
40:48Um
40:48>> Yeah, I want them in English.
40:49>> Yeah, we want our ads in English because
40:51we speak English. So everything that we
40:54engineer and everything that
40:55>> If you're ever here in Hawaii.
40:56>> I'm thinking about pigeon. What do you
40:58think?
40:58>> I think pigeon's great because basically
41:01you got a low low calorie message of
41:03stuff on your car.
41:04>> [laughter]
41:06>> So you know they you know your your your
41:08mail's arrived. And you know they
41:10the notes they carry are very small.
41:11>> I I I really like those little notes.
41:13>> Yeah.
41:14>> And we may need a magnifying glass to
41:16read it, but maybe AI will do that for
41:17me.
41:18>> Yeah, so our version of old fashioned is
41:20sending each other pigeon notes.
41:21[laughter]
41:26That's actually John Wick like in John
41:27Wick.
41:28>> Do a chat widget of a pigeon.
41:31>> Yeah.
41:32We put a little little chat thing around
41:34the neck.
41:35>> I hate I hate to like I hate to do this
41:37cuz I really like this rant we're going
41:39on here, but I meant pigeon is in
41:41Hawaiian pidgin language. But we can
41:43stick with the messenger pigeon as well.
41:46>> So they they speak it's called a pigeon?
41:49>> Yeah, it's Hawaiian pidgin. Yeah.
41:50>> Cool. I did not know that.
41:52>> One of the one of the greatest Pacific
41:53Islander I'm supposed to know.
41:55>> One of the
41:56>> that.
41:57>> Well, if you came and hung out with me
41:58in Hawaii more, you'd know. One of the
42:00greatest
42:00>> Oh, we're definitely doing that.
42:02>> the greatest things I've ever read in my
42:03entire life is there's a there's an
42:05entire Bible in pidgin.
42:07Uh so if you ever want to hear Jesus
42:09talk like a Hawaiian, you can go find
42:11that.
42:11>> That is amazing.
42:13>> Yeah, so
42:14>> All right. That's pretty fun.
42:15>> That's amazing.
42:16>> That sounds great.
42:17>> great.
42:17>> So, that is one language I'm pretty sure
42:19I can program for
42:21and and I'll tell you why. I've already
42:22done
42:24Korean, Japanese,
42:27Tagalog,
42:28but
42:29if unless there's a large source of data
42:32out there on that is how how protected
42:34is that language, do you know?
42:36>> Yeah, it's not super common. It's not
42:38super common.
42:38>> Got you.
42:38>> Yeah.
42:39>> So, that that would be wonderful by the
42:40way for AI to preserve. That would be a
42:42really good example
42:43>> Totally.
42:43>> of of having people capture their
42:46conversation, recording it, and then
42:48creating a database. And
42:51that's a great wonderful use case for
42:53AI, by the way.
42:54>> Yeah.
42:55>> Um in this context,
42:57um you don't want to waste money by
42:59splitting up your budget, and you really
43:00want to honor different cultures because
43:03it's good for business, right? And it's
43:05the way we want to
43:06>> And it's good for people to communicate.
43:07>> Yeah.
43:07>> Yeah.
43:08>> It's it's it's good we
43:10>> we feel special when people are paying
43:12attention to the way we like to consume
43:14things. So, your agents, your AI agents
43:18should be multilingual. And no matter
43:20what platform you're you're advertising
43:22on, you should be designing ads that
43:25have language detection. If you Google
43:27it, you'll find that
43:29Google itself struggles to
43:32to fulfill language detection, but we
43:34have that solved on our end from a
43:36technological standpoint. Anyone who
43:38everyone who advertises with us has
43:42language detection built in to to
43:44everything that we that we have. So,
43:46>> Have you seen This is a little bit of a
43:49diversion, but it's related. I I've just
43:52started getting like when I'm
43:54you know,
43:55vegging out browsing on Instagram reels
43:57or whatever, I started getting these
43:59weird like a little bit weird videos
44:01where I'm like, is this AI created, but
44:04it looks
44:05really really not like AI real, but like
44:07really, really real. And I realized that
44:10uh these videos were people in other
44:13countries filming and communicating in
44:16their language, but AI was translating
44:19with an AI with a like a realistic
44:21sounding AI voice. And the thing that
44:23was off was the lips weren't matching
44:25the words.
44:26>> Matching. Yeah, looks weird, right?
44:27>> Yeah, but they're doing that uh they're
44:29presenting videos in the language that
44:32you're consuming.
44:34What are what stuff on your phone on,
44:36which is super interesting.
44:37>> very interesting, yeah.
44:39>> I just started seeing that pop up uh
44:41recently.
44:43Interesting.
44:43>> I think I've seen some of that, too, and
44:45I just didn't know what it was, and I
44:46was like, that's
44:48because of the way the lips move. It's
44:49just like
44:50>> I yeah, I was like, is this just AI
44:53creating something like doesn't even
44:54look good for AI for some reason, but
44:56it's real it's it's real, and people are
44:59doing it in Spanish or, you know, Korean
45:01or whatever language they're doing
45:02Japanese, I see a lot of those, and but
45:05but Instagram is
45:07translating them into I'm assuming
45:10English cuz I'm
45:12I consume in English.
45:14Uh so, it's really, really interesting.
45:16>> So, if if Meta is doing that, that's a
45:19leap giant leap forward that Google does
45:22not have built into their systems. So,
45:24we had to we had we have had to engineer
45:27that ourselves, so that when we
45:29deliver ads on any demand-side platform,
45:32whether inside the Google network or
45:34outside the Google network, um
45:36our pages and our agents detect what
45:39you're reading. But if Meta is doing
45:41that,
45:42that's tremendous for for Meta. Um no
45:45longer does and Google's a great example
45:48uh with with their Gemini models how um
45:51you're no longer creating aliens with
45:53six 10 fingers or and and 10 toes. Um
45:57it's it's remarkable how how much better
46:00it is.
46:01>> And how fast, man. It's It's crazy how
46:04fast stuff's getting better.
46:08>> Definitely. I I think since uh from
46:11from being young to now, it's it's it's
46:16crazy what
46:18it's been Forget my mom. I mean, she's
46:1978 years old, and she went from
46:22um
46:24she she calls the uh refrigerator an ice
46:27box cuz they used to deliver ice to the
46:30box. [laughter]
46:32>> And now look at our world.
46:33>> I know. We went from
46:34>> We have TVs on our refrigerators now.
46:38>> Right.
46:38>> Yeah, computers on the refrigerator.
46:40>> Like behind our mirrors.
46:42>> So, if we can do that, wouldn't it be
46:44fair to suggest that the laundromat
46:46industry could start implementing some
46:48of these tools like language detection
46:51and uh one other great thing that we've
46:53implemented, and you should be doing
46:55this as well,
46:56is geolocation. So, a lot of big
46:59operators have stores that might be 10,
47:0315 minutes, or even closer.
47:06And if you really want to make sure that
47:08you're grabbing
47:09the attention span of your customer,
47:13your ad should be delivered, your
47:15landing pages should be delivered, and
47:17your website should have language detect
47:19I'm sorry, language detection and
47:21geolocation. So, there's a formula. I'm
47:24not going to tell you what it is because
47:25if someone else is going to try and copy
47:26this, I want you to have to do the work
47:27yourself.
47:28Um
47:29>> Yeah, shh. We're not telling.
47:31>> But there's a formula that lets you know
47:34um that could be programmed into your
47:36website or into your landing pages that
47:38basically lets the user know when they
47:40click onto your site what location of
47:43yours is nearest to them. So, a lot of
47:47our laundromat owners have this problem
47:49that we've we've we've remediated simply
47:53by adding geolocation to both the the
47:55and to the ad the ad assets.
47:58>> Well, and I like that because the
48:00I'll call it {quote} {unquote}
48:02traditional method is a shotgun method,
48:04right? Which is like, I'm going to list
48:05all my locations,
48:07find the one that's closest to you kind
48:09of thing, and this is more of like a
48:13I I hate to kind of use this analogy,
48:14but more like a sniper
48:16uh laser laser like a non-harming laser
48:20for cats.
48:22>> Right.
48:22>> Less less violent. [clears throat]
48:24>> Otherwise, you're creating fr- You're
48:25creating frustration with your
48:27>> Totally.
48:27>> with with your customer. Um give them
48:30what they need, and you know, and and as
48:32soon as you you can deliver it. And
48:34language detection is one, and then uh
48:36geolocation is the other. Give them the
48:39information they need in the language
48:41that they need it, and then show them
48:43how close they are to your nearest
48:45location.
48:46>> Yeah.
48:47Yeah. It's incredible.
48:50It's incredible that that those tools
48:52exist and that they exist in a way
48:55that's accessible to
48:57little old us laundromat owners, man.
49:00Kudos to you guys. You're always pushing
49:01the bounds over there. I like that.
49:03That's why I like you.
49:03>> Well, one of the things I think is like
49:06>> Also, that.
49:06>> [laughter]
49:07>> Yeah, we noticed we matched today.
49:09>> And that wasn't even planned.
49:11>> It was not.
49:12>> You guys are insane. I like it.
49:15>> We do we do a good job of um supporting
49:18each other.
49:18>> Yeah. Yes. Very true.
49:21So, uh we threw in a case study here
49:22that we'll we'll let people look at that
49:25but
49:26um
49:27this this is more more has to do with
49:29geofencing and and geofencing uh
49:31footstep, you know, for traffic
49:33attribution. Um but we'll we'll give you
49:37a link to share in the thing so people
49:38can look at that uh later. One of the
49:41other things that is not unified in uh
49:43laundromat owners are not business
49:45owners are not taking good use of is
49:48the relationship between SEO, which is
49:51search engine optimization, and GEO,
49:54which is generative engine optimization,
49:56and we have invented something called
49:58active GEO. You can Google it. It
50:00doesn't exist at the moment because we
50:02invented it. So, I'll I'll explain what
50:04that is in a moment, but SEO is a is a
50:08fun game, right? Because you're creating
50:10content on a cadence,
50:12and you're searching for backlinks, and
50:15and you're trying to create backlinks.
50:17It's It's what I was explaining earlier
50:19how I went to that um
50:21that expo for the advertising industry.
50:24>> Oh, when the guy was up there talking?
50:26>> Yeah, so by the way, I confronted the
50:28the keynote speaker, [laughter] and
50:30I'm not sure he was he was happy with
50:32what I told him. But, he's trying to
50:33tell every He's trying Well, I was like
50:36I did all this
50:36>> You really don't want that on you.
50:38>> So, he's he has this whole company, and
50:40they're they're doing well over a
50:41hundred million a year in revenue,
50:42right? We're not We're not there yet,
50:44but all the things that he's doing, I'm
50:46like that he's a keynote speaker, and
50:48I'm like I did that myself.
50:50And he's not even up to what we're
50:51talking about or or
50:52>> believe him. He was like, "What?"
50:54>> like, "Yeah, take my card. Like look at
50:56my platform. I already built all this
50:57myself." So, um
51:00but anyway, there's a marriage. So, what
51:03as he's talking about SEO and these
51:05things, people are panicking in the room
51:07because their their lifeblood is SEO.
51:10And
51:11along comes ChatGPT.
51:14>> Well, even even before that, uh
51:16really before ChatGPT got or maybe like
51:19right before, uh Google cuz you know,
51:22I've I've been in the SEO game a little
51:23bit, too, and and all that, and even
51:26before that, it it threw everybody for a
51:29tizzy when Google started offering their
51:32AI suggestions. So, like when you search
51:34now, the AI suggestion is coming up.
51:36It's not sending Google's not sending
51:38people to your website anymore,
51:41which a lot of like online businesses
51:44were require and rely on traffic to
51:46their sites, Google's just answering it
51:49for them in the front there and then
51:50it'll link the sources. Uh but that was
51:53a huge deal
51:55on the SEO before even
51:57people started
51:58chat GPTing things so much.
52:01>> Yes. So, this is an opportunity for
52:04laundromat owners to like be the first
52:06to to deliver on this for your local
52:08community.
52:10So, basically
52:12where SEO is about the backlinks and and
52:15the other techniques that marketing and
52:17ad people do, including publishing blogs
52:20with keywords and and and things like
52:22that and then some paid things uh
52:25for to increase SEO value.
52:27Generative engine basics is you need a
52:31schema on your site. It's a It's
52:34basically a data packet that when chat
52:37GPT or Gemini or Claude
52:40scrapes your site, it has some basic
52:42information on there so that they can
52:45say, "I've just validated that Fluff and
52:48Fold Laundry in Ocean Township, New
52:50Jersey does pick up and delivery and no,
52:54they do it on their own. They're not
52:55part of some other other group." So, it
52:58can answer these questions for you and
53:02whereas a laundromat that's not
53:04providing this data schema
53:06uh is is not going to show up. So,
53:10I would say 99.9%
53:12of laundromats are not chat GPT
53:14friendly. There's no data schema on
53:16there. There's no data packet on there
53:18so that when chat GPT is asked a
53:21question for to to remediate uh
53:25a a local query, it can't it won't do
53:27that for you. It can't do that for you
53:30simply because it doesn't have
53:33Unless it has a tool unless you're
53:35giving chat GPT a tool like Playwright
53:37MCP, it's not going to know what's on
53:41your site
53:42because it it doesn't have that extra
53:45tool. It needs when it goes to your
53:47site, it needs to
53:49see immediately see that there's a
53:53a packet of data on there so that
53:55ChatGPT knows it's there. So if you want
53:58to know the difference between SEO
54:00and GEO is that large language models
54:04need to read information unless you're
54:06giving them the second tool, a third
54:08tool, they need to see that data packet
54:11there. So it's it's a simple thing to
54:13do. You need to be adding
54:15uh you need experts or the right people
54:18the the right agencies to add a schema
54:21on there so that the data can be read.
54:25>> Yeah.
54:26>> Nicely, but
54:27>> Well, which is you and there's no
54:28there's no avoiding it, right? Cuz now
54:30like I said, when people are Googling
54:31things, even if they're in the past
54:33Googling things,
54:35uh
54:36it's an AI response, right? So it's
54:38functioning similarly to when you're,
54:42you know, searching on an AI your your
54:44AI of choice.
54:46Uh it there's no getting around it here.
54:49And I mean, we're talking about
54:50low-hanging fruit again uh here. Like
54:52you said, 99.9% of people aren't doing
54:55it in our industry. So if you do it,
54:57that puts you ahead
54:59of everybody else in your market and
55:01beyond.
55:05>> Active GEO. So this is not something
55:08that other other agencies are doing. I'm
55:10actually going to tell you what it is so
55:12that other agencies can struggle and
55:14that will give us a moat, a defendable
55:16moat as they get in and as they try to
55:18figure out the technology. I'm going to
55:20I'm going to do it without giving it all
55:22away. So active GEO is what we engineer.
55:25Active GEO is when ChatGPT comes to one
55:28of our sites or one of our landing
55:30pages,
55:31it's greeted by an agent that trades
55:34information with that instance of chat
55:37GPT. So,
55:39and further, when one of our sites are
55:41updated,
55:43it pushes data to Bing and to chat GPT
55:47and lets it know that you need to
55:49scrape, your servers need to scrape our
55:52server so that because it's updated with
55:55fresh information. And that's important
55:57because
55:58the distinction is
56:00chat GPT wants to know that something
56:02new is there, one.
56:04They need it in a format that they can
56:07read, two. What's uniquely different
56:10about the way we approach this problem
56:13is that we engineered it so that our we
56:16have a greeting agent that can answer
56:19questions, queries on behalf of the user
56:22to chat GPT.
56:24And um we even provide an MC
56:31model context proder, model context
56:33protocol server endpoint to our sites
56:36because that is the future. In the
56:38future, it's it's going to be more like
56:41um two a agents plugging into each
56:43other. So, we've already built that in
56:46on every one of our sites. So, when the
56:48future comes,
56:49we're ready for that. But what is not
56:51being done now is active GEO, which we
56:53do exclusively in the entire ad world.
56:56And then GEO is what you should be doing
56:58now
56:59in combination with SEO. Those things
57:01should not just because GEO exists
57:04doesn't mean you can turn your back on
57:06SEO. They're SEO is just as important as
57:08it ever was, and I'm sure the agency
57:10you're using is doing it well,
57:12especially if you've been with them, but
57:15it really needs to be used in
57:16combination with GEO. And then if you
57:18want to join the future, we're doing
57:20active GEO and model content model
57:22context protocol um built into that as
57:26well.
57:26>> And there you go. It rounds it back to
57:28the prompt date.
57:31>> [laughter]
57:32>> Model context protocol, not model
57:34contacts
57:36prompt date.
57:37>> [laughter]
57:40>> So,
57:42so this is this actually this slide
57:43actually spells it all out. Um
57:46AI asks a question
57:48of your site, and then the site needs to
57:51answer with your specific data. And that
57:54is exactly
57:56um what you need. You You need um chat
58:00GPT needs a a confidence score as well,
58:03right? So, um built into what we do is a
58:06confidence score. You need a high
58:08confidence score so that chat GPT knows
58:11that this is a reliable answer that it's
58:13giving the user, and that's super
58:15important. Um
58:17AI recommendations are are often called
58:20referrals.
58:22They need if your information is in the
58:24proper format, and it's being greeted by
58:27another agent, it your trust is nearly
58:30perfect. Um it's not scraping your
58:33website and having to rely on did it
58:35take the proper snapshot, and did it
58:37read the proper um
58:39CSS and HTML on your site? Because that
58:42is data intensive, by the way. It takes
58:44a lot of tokens to do that. So, what you
58:46want to do is right away, you want to
58:48put your data in the format that AI can
58:51read and recognize immediately, and you
58:53want that done in 200, you know, 200
58:57milliseconds.
58:59>> Yeah. Well, and it it again, that's huge
59:03uh to
59:04to have the the ability to have
59:08It's almost like a like a
59:11I was going to say like a concierge or
59:12something at at a hotel, but then I was
59:14thinking it's like a greeter at Walmart,
59:16right? Like you come in, they greet you,
59:18they welcome you. You're welcoming chat
59:20GPTs with your agent that's coming in,
59:23and you underpay them,
59:26but you know
59:27>> [laughter]
59:28>> they're cheap but they're there to kind
59:30of greet you and make you feel good. Uh
59:33>> Right.
59:34>> That's funny.
59:35>> They're always there to help.
59:37>> [laughter]
59:38>> The agents definitely underpaid, that's
59:40for sure.
59:40>> Yeah.
59:41>> So, um
59:42>> They work very hard though.
59:44>> Yes.
59:46>> It's also important to have good
59:47information by the way. So, if you're
59:48putting any of these tools to use, you
59:51want to know like who's my main
59:53referrer? Is it Gemini? Is it Claude? Is
59:55it ChatGPT? That's one. And you want to
59:58know what questions are being asked.
1:00:00Um as I said, I was really really
1:00:03surprised.
1:00:04The number one question being asked of
1:00:06our agents for uh companies that use
1:00:09point of sale is how much money do I
1:00:11have left on my card? That is the number
1:00:13one question.
1:00:15Um it can also tell you by the way
1:00:18if you're having staffing problems. We
1:00:20get things like, "By the way, I think uh
1:00:23James is selling cocaine in in Crystal
1:00:25Meth in your ninth street apartment."
1:00:27>> that, James.
1:00:28>> [laughter]
1:00:29>> So
1:00:29>> Jameses. I have a brother named James
1:00:31and it's true. He's
1:00:32>> He's a trouble.
1:00:33>> Nothing but trouble.
1:00:34>> He's always been trouble. Let you know
1:00:35that.
1:00:35>> Nothing but trouble.
1:00:37>> You should give him the Bible and
1:00:38pigeons.
1:00:39>> Yeah, I'm going to have to. I'm going to
1:00:42have to.
1:00:44>> So, um
1:00:45>> Was he the one in the bathroom that you
1:00:46wanted to geo-target?
1:00:47>> my other brother, John.
1:00:49Who was in the John? Yeah.
1:00:51>> [laughter]
1:00:52>> That's funny. How did you get left out
1:00:53of the Bible?
1:00:55>> I
1:00:55>> James and John.
1:00:56>> I'm I'm not left out. Jesus was baptized
1:00:58in the Jordan River.
1:00:59>> Oh, that's awesome.
1:01:01>> But my brothers do make fun of me that I
1:01:04have a girl's name. And also, there's
1:01:07James and John
1:01:08in the Bible who are known as the sons
1:01:10of thunder, which is a sweet nickname.
1:01:13You know what I mean?
1:01:14>> Sons of Zebedee, that's right.
1:01:15>> I've got a girl's name, so uh it's been
1:01:17rough. Even though I'm the oldest, it's
1:01:18been rough. They're bullies.
1:01:20>> [laughter]
1:01:21>> That's funny. I didn't realize that
1:01:22Jordan is Jordan
1:01:23>> No, no. If you
1:01:25No, you're
1:01:26>> You know what the problem is? One hot
1:01:27girl named Jordan ruined it for you.
1:01:30>> Yeah.
1:01:30>> Hey, she
1:01:31>> She owned the She owned the name.
1:01:33>> She owned the name and it's like, "Oh,
1:01:34you're like hot that hot girl Jordan."
1:01:37>> I know.
1:01:37>> So, whatever. That's That's what
1:01:38happened to you. You got typecast based
1:01:40on the name.
1:01:41>> and that's why I had to cut my hair is I
1:01:43didn't want people thinking I was the
1:01:45hot girl.
1:01:48Just kidding.
1:01:49>> That's hilarious.
1:01:49>> What is your middle name?
1:01:51>> Uh Lewis.
1:01:53>> Lewis.
1:01:55Yeah, you're not a Lou.
1:01:56>> After my grandpa. My grandpa's middle
1:01:58name.
1:01:58>> Well, that's kind of nice, though. I
1:02:00like names after grandpa, but you're not
1:02:01a Lou.
1:02:02>> Yeah, I couldn't I was a little too old
1:02:03school for me.
1:02:05>> Yeah.
1:02:06>> Yeah.
1:02:07>> So, I I created a nice graphic here, by
1:02:08the way, that really ties up what we
1:02:10were talking about about the kind of
1:02:12information that a large language model
1:02:15like ChatGPT or Yama or Claude or Gemini
1:02:19would need to read.
1:02:21Every single website right now should
1:02:23have a large language model text file.
1:02:25That's basically what I was telling you.
1:02:27It needs to be in a proper schema. Uh
1:02:30JSON as well. JSON is another
1:02:33call it a language, but it you need that
1:02:35language um file on your site. Then, you
1:02:40need tool use.
1:02:41We were also talking about MCP server.
1:02:43It's another kind of tool. It's um
1:02:46another kind of standard. Claude or
1:02:49Anthropic rather um really pioneered MCP
1:02:52servers and made that a standard way for
1:02:55um
1:02:56tools to interact. Um and then
1:02:59the rest gets into um what what truly
1:03:03sets us apart from the MC
1:03:05MCP server all the way down is that we
1:03:08have an answer engine and that our
1:03:11agents actively push for you to ChatGPT,
1:03:15Claude, and Gemini. So, that's basically
1:03:18our stack right there that separates
1:03:21um
1:03:22us from
1:03:24100% of the ad world is that we're
1:03:27employing this technology um
1:03:30and even Madison Avenue has not yet
1:03:32caught up to it. So,
1:03:34but the laundry industry is really has
1:03:35an opportunity
1:03:37um to take a lead. I mean,
1:03:40there's the
1:03:41the industry is ripe for change. Um
1:03:44these these tools are not don't break
1:03:47the bank, but what they really do is
1:03:49build a closer connection to people who
1:03:53are going to be your walk-in.
1:03:56Or these are people who um
1:03:58these tools will enable you to capture
1:04:00those pick up and delivery customers,
1:04:02those wash, dry, fold people. But um all
1:04:05these all this technology represents
1:04:07money that's on the table that the
1:04:09average laundromat owner is losing out
1:04:11on.
1:04:13>> Huge. Right? Like and you know, we
1:04:16talked about this before some of the
1:04:17stuff you guys have been building and
1:04:19doing over there and other people in the
1:04:21industry um but you know, we kind of
1:04:24went from being the ice box of the
1:04:26industry to the Samsung smart
1:04:29refrigerator
1:04:31uh and we you know, we were kind of
1:04:34lagging, you know, when it comes to like
1:04:36I I've said it before I've kind of
1:04:38jokingly criticized the industry of
1:04:39like, "Hey, a couple years ago we got
1:04:41super excited. We got touch screen
1:04:43washing machines." But I've been
1:04:44carrying a touch screen in my pocket for
1:04:46since 2008 or whatever, right? So, uh
1:04:49we've kind of been lagging behind
1:04:51everything, but you guys and and some
1:04:53other people are pushing pushing the
1:04:54edges, pushing the the boundaries
1:04:57of what we have access to which honestly
1:05:00I did not see coming. So, kudos to you
1:05:02guys for for doing that cuz this
1:05:03industry is not known for being on the
1:05:07front edge of technology.
1:05:11>> So, this is a good graphic about um that
1:05:14has to do with the point of sale systems
1:05:16that are out there.
1:05:18Um
1:05:19What kind of What kind of things do you
1:05:20hear, Jordan? We don't have to name any
1:05:22names of companies, but what kind of
1:05:23things do you hear complaints about
1:05:25point of sale systems? What do you hear?
1:05:28>> Uh I mean just inconsistencies,
1:05:29downtime, uh lack of customer service,
1:05:33uh confusing, hard to use for customers
1:05:36but also employees.
1:05:39Uh I don't know. Are you fishing for
1:05:40something in particular cuz I It's
1:05:41probably true whatever you're you're
1:05:43fishing for.
1:05:44>> Well, you helped me with uh the number
1:05:45one thing is if you look on Facebook and
1:05:48you look at some of the laundromat
1:05:50owners groups, you'll see that downtime
1:05:52is something they complain a lot about.
1:05:54>> Yeah.
1:05:55>> So
1:05:56our system has zero downtime. Our uptime
1:06:00is 99.99999%.
1:06:03So we built a relay system that no
1:06:05matter if you're using CleanCloud,
1:06:07Sense, which does at least
1:06:10uh we're not aware of if Sense has API
1:06:12integration. For us it doesn't matter.
1:06:14Uh our platform has 100% uptime. It
1:06:16integrates with CleanCloud, Sense,
1:06:19uh or any of any system that you're
1:06:21using, even Zapier. So if you made
1:06:23something on Zapier,
1:06:25if you made something on make.com,
1:06:27um you want to ask your engineer if they
1:06:29could build you a relay system, which is
1:06:31what which is what I built. And uh
1:06:34essentially what happens is it doesn't
1:06:35matter what point of sale system you
1:06:37use, we can either plug in directly like
1:06:40with CleanCloud integration or we can
1:06:44do a run around completely and deliver
1:06:46you that communication and that order
1:06:48directly to your WhatsApp, to your It
1:06:51could text you or it could deliver it
1:06:53deliver that request to your inbox and
1:06:56then you you Yes, you'd have to manually
1:06:59uh you might have to manually enter
1:07:00something, but we did a complete uh run
1:07:03around of every point of sale system out
1:07:05there. It doesn't matter what you're
1:07:07using, we can set you up so that you can
1:07:10dunk the ball. So, basically
1:07:12we'll pass the ball to you. We'll pass
1:07:14that communication to you in real time.
1:07:16We can pass that order to you, that
1:07:18request for pick up in real time. Uh if
1:07:20you're using a platform that will open
1:07:22up its API uh to us, we can do that. So,
1:07:25we can do it by direct webhook push
1:07:28or we can do it um a myriad of other
1:07:31ways. So,
1:07:33>> And that was a a solving a problem that
1:07:35we did have.
1:07:36Trying to
1:07:37>> [laughter]
1:07:38>> We did have people telling us
1:07:40complaining that um they really they
1:07:42asked us actually to come up with our
1:07:44own point of sale system because they
1:07:46saw how well our system's working. And I
1:07:49it's not something at least unless
1:07:51you're going to pay me a a ton of money,
1:07:52I'm not really interested in doing that.
1:07:54But um what we'd rather do is is give
1:07:57you sometimes the most elegant solution
1:07:59is the best solution, right? It doesn't
1:08:01have to be some big point of sale system
1:08:03for us. Our platforms can integrate with
1:08:06any system. And if you're using your own
1:08:08developers, you want to ask your
1:08:09developer if they can build you a relay
1:08:11system. So,
1:08:14>> Well, you're nothing if not elegant,
1:08:16I'll tell you that. All the way through
1:08:18and through. Both of you.
1:08:19>> It's the salmon. It's the salmon.
1:08:21>> [laughter]
1:08:21>> I see you were imagining what you can't
1:08:23see cuz we're not on two one camera.
1:08:28>> So, um the rest is case studies in here
1:08:30you can look. I mean, we we've used
1:08:32these um these platforms ourself. Uh
1:08:36we've used them for our clients. We use
1:08:38a lot of this for the healthcare
1:08:40industry.
1:08:41Um if anyone has 1.8 billion dollars,
1:08:44we'll take it for Luke. I'll walk away
1:08:45happily.
1:08:46>> 1.8 you said.
1:08:48>> That's the That's the value of our
1:08:49competitor Medvy, and they don't they
1:08:51don't have all of our tools. They only
1:08:53have two of our eight tools.
1:08:54>> Wait, you said 1.8.
1:08:55>> They're worth 1.8 billion.
1:08:56>> Oh, billion. I thought he said million
1:08:58for some reason.
1:08:59>> I was like, what? What?
1:09:00>> 1.8 1.8 [laughter] million covers my
1:09:02tequila bill.
1:09:04>> That's what I was going to say.
1:09:05>> Yeah, you can't move out here to Hawaii
1:09:07with 1.8 million. Come on. You can't
1:09:09live like a
1:09:10pauper.
1:09:11I'll have to rent your garage.
1:09:13>> We're going to We're going to go out
1:09:14there and we're going to
1:09:17do the nice
1:09:18sailboat.
1:09:19>> That's right.
1:09:20>> That That sounds fun.
1:09:21>> Sailing Sailing, yeah.
1:09:22>> It does sound fun.
1:09:23>> Yes.
1:09:24We do We do like sailing.
1:09:27>> I'm looking at my own slide and made me
1:09:29think one thing we didn't talk about,
1:09:30which is, you know, wash, dry, fold
1:09:32could be imagined reimagined in a little
1:09:34different way, kind of like how pick up
1:09:36and delivery is, um, where people
1:09:37actually schedule. So,
1:09:40>> Instead of just dropping in, they can
1:09:42schedule to to
1:09:44drop off and pick up.
1:09:45>> Yeah, commitment's a commitment. If I If
1:09:47I say like if I'm going to drop my buddy
1:09:49drops his dog off to the, you know, Moe.
1:09:52>> Yes.
1:09:52>> Bob drops Moe off to the
1:09:54>> Bob is the sweetest dog.
1:09:55>> Moe's awesome. He's a He looks like a
1:09:57like What was a ridgeback?
1:09:59>> Yeah, so him and him and Taylor are
1:10:02almost twins, except Moe's longer.
1:10:04>> Yeah.
1:10:05>> And they're just They're the just the
1:10:06best dogs.
1:10:07>> So, with your dog, you know, you're
1:10:09going to make an appointment to drop it
1:10:10off at the doggy daycare, right? So,
1:10:12it's a commitment. When people are
1:10:14committed to doing something,
1:10:15psychologically, they're going to do it.
1:10:17So, why not the same thing with wash and
1:10:19wash, dry, fold? Why not create an
1:10:21opportunity where users can
1:10:24put put a time on the clock on the
1:10:26calendar and say that they're going to
1:10:27drop something off. And then, hey Dave,
1:10:29we were expecting you or James and John
1:10:32with those cool names. You should get
1:10:33your brother Jordan to come do laundry
1:10:35here. So,
1:10:36>> I wouldn't say they're cool names, but,
1:10:38you know, whatever.
1:10:39>> [laughter]
1:10:40>> I think Jordan's cooler.
1:10:42>> Jordan's all right. Yeah,
1:10:43totally.
1:10:44So, wash, dry, fold is something that
1:10:46could be reimagined. You know, why not
1:10:48use these tools to get people to commit
1:10:50to a wash, dry, fold drop-off?
1:10:53>> Yeah. Yeah, I mean, I love that and I
1:10:55think, uh,
1:10:57you know, that's interesting interesting
1:10:59idea with the
1:11:01having people, you know, schedule and
1:11:03make that commitment. Like you said,
1:11:04once people, you know, put something on
1:11:06the calendar or, you know,
1:11:09or commit verbally commit to something,
1:11:11uh they're more likely to do it.
1:11:13Everybody says that at least in New
1:11:14Year's resolution, so it must be true.
1:11:17>> [laughter]
1:11:18>> So, yeah, I mean, I love that. And And
1:11:19it gives you an opportunity, like you
1:11:20said, if they don't show or they're late
1:11:22or something, it gives you another
1:11:23touchpoint with them to let people know,
1:11:26"Hey, you know, we're we're thinking of
1:11:28you. We're, you know, everything good?
1:11:30You need us to send a driver to come do
1:11:32the pickup instead? You know, here's
1:11:34what that costs." You know, things like
1:11:36that. I mean, gives you a lot of
1:11:37opportunity to really serve the customer
1:11:39in a unique way.
1:11:41Um and you could still, you know,
1:11:43accept walk-ins and stuff like that,
1:11:44too. But, uh and that's what like
1:11:46barbers do, right? Or salons or I don't
1:11:49know, wherever people do their hair. I'm
1:11:51new again to the haircut game. Uh so, I
1:11:54can't but you can do you can do a
1:11:56walk-in or you can do a an appointment.
1:11:58Um and uh yeah, I think there's a lot to
1:12:01be gained from,
1:12:02you know, having those communication,
1:12:04those touchpoints
1:12:06with with our customer base.
1:12:08>> Massive.
1:12:10Massive. Guys,
1:12:13it's been
1:12:14awesome. I don't know if you have more
1:12:16to say, but I mean, this has been
1:12:18incredible and I think it's something
1:12:19that
1:12:20uh
1:12:21people aren't talking about enough,
1:12:23but even though you know, even even the
1:12:26people who are talking about it, we're
1:12:27not doing enough of this. We're not
1:12:28utilizing We have massive leverage with
1:12:31utilizing some of these tools even just
1:12:33individually, and then being able to
1:12:35connect them together for them to be
1:12:37able to communicate. You know, I was
1:12:39thinking like
1:12:40Avatar, the movie, how the writers of
1:12:43those I forget what they're called. They
1:12:45like plug into each other, you know, and
1:12:47they communicate that way. Uh when we're
1:12:49able to do that, um
1:12:51man, uh, talking about systems to to be
1:12:55more efficient, to be more profitable,
1:12:57to get more done in less time. I mean,
1:13:00huge huge potential there. Huge
1:13:02potential.
1:13:04>> So, let me ask you a question. Is there
1:13:06Is there an area of the industry that
1:13:08you think could
1:13:10be better managed by AI,
1:13:13um, but is not currently being looked
1:13:16at?
1:13:18>> That's a great
1:13:20question.
1:13:21Um,
1:13:24being looked Well, I mean, I I do think,
1:13:26you know,
1:13:28even just web design is not
1:13:31utilizing AI enough. And uh, I don't I
1:13:34don't know if that's not being looked
1:13:36at, but um, we got, you know,
1:13:39the marketing website I There's still a
1:13:41lot of room for growth there. Um, I'm
1:13:43really intrigued
1:13:46by
1:13:47um,
1:13:49in general, not just
1:13:51uh, not just
1:13:53in our industry, but in general, I'm
1:13:54really intrigued by this coming wave of
1:13:57robotics that's starting to happen here.
1:14:00We're starting to see the front end, and
1:14:01as robotics starts to
1:14:03integrate AI into it, I mean, we saw,
1:14:06you know, the presser machine is
1:14:08utilizing robotics to to dry clean uh,
1:14:11stuff. There's the folding arm robots
1:14:13that were a huge hit at the Clean Show.
1:14:16They're um, you know, not being
1:14:18widespreadly that those Those aren't
1:14:20being widespreadly right now, but those
1:14:22are interesting. Uh, but I do think that
1:14:25there's more to be done
1:14:28with our equipment uh, with AI uh, right
1:14:31now that's not being utilized, at least
1:14:34not very well. And I don't know how much
1:14:36it's being looked at, but
1:14:38um, I don't know. What about you guys?
1:14:41>> One of the things that we look at, um,
1:14:43we develop
1:14:45um,
1:14:46recommendation engines.
1:14:48So,
1:14:51for Hint Beauty, H Y N T Beauty, we came
1:14:55up with um
1:14:57So, basically, you could tell it what,
1:14:58you know, what skin issues you have or
1:15:00even what skin color you have. And then,
1:15:03um the recommendation engine will start
1:15:05making
1:15:07product recommendations. But, how that
1:15:09would apply to the laundromat industry,
1:15:10I think, is
1:15:13>> [clears throat]
1:15:13>> one of the things is none of us are made
1:15:14of as money. And, you know, there are
1:15:16supplies that we work with that
1:15:18laundromat owners work with every day.
1:15:21Um some of those supplies are could be
1:15:23indicative of good productivity or bad
1:15:26productivity. So, I mean, I'm just I'm
1:15:29just, you know, vibing with you now
1:15:31about it.
1:15:32>> Yeah.
1:15:32>> But, I think, um in terms of supplies,
1:15:35I would be curious uh what what problems
1:15:38could be, you know, order in terms of
1:15:40ordering, things like that. Um
1:15:43>> AI works really well
1:15:46with um planning and logistics. So, I
1:15:50So, if you own seven, eight stores,
1:15:53this is probably,
1:15:55you know, something that we could talk
1:15:56about together, how to how to manage
1:15:59that and how to how to forecast that. I
1:16:01don't know I'm not sure if you saw this,
1:16:02but um I believe it's Palantir
1:16:05is working on air traffic control
1:16:08and how to um
1:16:10>> They're using gamers.
1:16:11>> Yeah, [clears throat] they're using
1:16:12gamers and they're they're using AI that
1:16:16if a plane takes off in Chicago and then
1:16:19one from Atlanta, they're both headed to
1:16:20Newark Airport, how delaying the takeoff
1:16:23or how having them just slow up or speed
1:16:26up can impact the safety
1:16:29airline safety. And
1:16:30>> remember these uh problems from my
1:16:33physics classes. One airplane leaves
1:16:36from here.
1:16:38>> Yes, absolutely absolutely. So, those
1:16:40are some things. You know, you were
1:16:42talking about the uh design. I'm not
1:16:44going to tell you how we do it, but um
1:16:48we have a roster of designers.
1:16:50Um some of them are famous, some of them
1:16:52are not. But, um the design aspect we
1:16:56definitely have down.
1:16:58Um
1:16:59some some of them are
1:17:01>> the AI into their websites.
1:17:03>> Yeah.
1:17:04>> What you were talking about.
1:17:05>> So, I mean, who doesn't love dogs? We do
1:17:08we do plenty of dog stuff.
1:17:09>> Nobody wants to [clears throat] hang out
1:17:10with, I know that.
1:17:12>> [laughter]
1:17:15>> That's hilarious. So, um so, yeah. The
1:17:19design part um also Google is putting a
1:17:22lot of stuff out there.
1:17:24But, um
1:17:26but as an agency, we certainly have that
1:17:28down pat. And um
1:17:31even though it's not emphasis of ours,
1:17:32we're really focusing focused on what
1:17:34our discussion was, solving real
1:17:36problems about money. You know, how to
1:17:38be more efficient, how to get um
1:17:40laundromats to run more efficiently, how
1:17:42to get tools
1:17:44um that solves that by unifying your
1:17:48systems, how it's how it solves
1:17:50problems. And instead of increasing your
1:17:53expenses, it's almost like
1:17:55you're consolidating all the at least
1:17:57the way we're trying to solve these
1:17:58problems. Your your developer can try
1:18:00and do the same for you. Um is try to
1:18:02consolidate the system so that your
1:18:04Wi-Fi is working with your CRM. Your CRM
1:18:07is working with the phone system. The
1:18:09phone system is working with the point
1:18:11of sale. The point of sale is working
1:18:12with the CRM.
1:18:14Um and it's it's all integrated.
1:18:16>> in a loop so that everyone every one of
1:18:19those products are working together and
1:18:20not against each other.
1:18:23>> Yeah.
1:18:24Yeah, and I think that's where I mean,
1:18:25you take something that's powerful and
1:18:27you make it
1:18:28I mean, unstoppable. Like I mean, that's
1:18:31that what you're describing is
1:18:33what companies have paid
1:18:36millions of dollars in technology and
1:18:40and staffing to be able to do up until
1:18:43the last 2 years. Or in less than that.
1:18:46Like we would not as a small business
1:18:47have access to be able to do any of that
1:18:50stuff
1:18:51until like now. Like now now.
1:18:55Like today.
1:18:55>> Yes.
1:18:56>> Yesterday, maybe.
1:18:57>> that exciting, though?
1:18:58>> It's super exciting.
1:18:59>> Yeah, it's exciting.
1:19:00>> I'm all about right now like
1:19:03you know, utilizing some of this AI,
1:19:06some of this technology, some of these
1:19:07tools uh to be able to do things that
1:19:11small businesses have no business to be
1:19:13able should be able to do. Like we
1:19:15should not be able to do some of the
1:19:16stuff that we're able to do now with
1:19:19marketing, with integrating uh all these
1:19:21different tools. And it's pretty
1:19:22exciting. It is pretty exciting.
1:19:25>> If you have the time to dedicate,
1:19:27Jordan, you can build anything you want
1:19:29to do.
1:19:30>> Yeah.
1:19:30>> Um I got so excited doing this.
1:19:33Uh there's days that I work 27 hours
1:19:36straight.
1:19:37Because the tools that we can have
1:19:41I mean, think about it. When you When
1:19:42you were a kid, did you not love the
1:19:44Sears catalog?
1:19:45>> Absolutely, man. Yeah.
1:19:47>> I would look at stuff like the
1:19:49walkie-talkies and the watch with um the
1:19:51calen- uh
1:19:53>> Calculator?
1:19:53>> Calculator. Yeah.
1:19:55>> I couldn't wait for Christmas cuz I'd go
1:19:56through all the catalogs and I'd circle
1:19:58the
1:19:58>> You're checking them all off.
1:20:00>> [laughter]
1:20:00>> So, I was always trying to figure out
1:20:02what I could build. Can I build a fort
1:20:04with this? Can I run away from home and
1:20:05sell my parents in the black market? Uh
1:20:08what can I get away with? What can I
1:20:09possibly do?
1:20:11Turns out no one wanted to buy my
1:20:13parents, but hell. So, here I am, the
1:20:1521st century. You can You can use the
1:20:19>> market.
1:20:21>> [laughter]
1:20:23>> Lonely hearts, there's a weird fetish
1:20:25for everything, you fudger freaks. So,
1:20:27>> [laughter]
1:20:27>> uh
1:20:28So, if you if you have um the desire,
1:20:32you have the discipline, you there's
1:20:34things there's solutions that you could
1:20:35build for your business.
1:20:37I recommend by the way, um experimenting
1:20:40before you deploy them. Uh but you know,
1:20:42there there's things that you can build.
1:20:44If you see a problem, you can build it.
1:20:46Uh it's an exciting time to be in
1:20:47business.
1:20:48>> Yeah.
1:20:49>> Uh if if you're not looking to take the
1:20:50risk, find engineers or or developers uh
1:20:54that could do it for you.
1:20:55Uh
1:20:57it's an exciting time to be in business.
1:20:58At least that's the way we see it.
1:21:00>> Yeah. Well, listen, if uh if somebody's
1:21:02listening to this and is as excited as
1:21:04we are about what's going on here and
1:21:06they want to, you know, take a peek at
1:21:08uh or hear more about what exactly
1:21:12uh you guys have to offer that that can
1:21:14be uh integrated into their businesses,
1:21:17what's the best way for them to get a
1:21:18hold of you?
1:21:20>> You don't have to put your reading
1:21:21glasses on cuz I just blew up the
1:21:22screen. I saw it.
1:21:23>> [laughter]
1:21:25>> cwadagency.com
1:21:27and you you can do all kinds of research
1:21:29out there out there. If you're a
1:21:31competitor, you want to learn how to do
1:21:32it right, you can learn how to uh you
1:21:34know, master class right there on AI.
1:21:36And um yeah, all you all you need after
1:21:39that is several thousand hours.
1:21:42>> Like come at me, bro.
1:21:43Come at me.
1:21:44>> Yeah.
1:21:44>> And we have um anyone that calls to make
1:21:46an appointment, we have
1:21:48>> That's true. We love that. We love that.
1:21:49>> We have a little gift for them. If they
1:21:52do, I had um the team make something up.
1:21:54>> Oh, really?
1:21:55>> Yeah. They're cool.
1:21:57I'm not saying.
1:21:58>> She's not saying.
1:21:59>> No.
1:21:59>> But we can't say anything. Just just
1:22:01before we got on with you, um someone
1:22:03reached out to us. They're like, "Yeah,
1:22:05we saw you on the uh Jordan's Lunch With
1:22:07My Resource podcast." We're like,
1:22:08"That's funny. Which one was it?" It was
1:22:10like our first one and then I'm like,
1:22:11"We're We're about to do our latest
1:22:12one." [laughter]
1:22:13Yeah. So, they were they were so excited
1:22:15to uh to hear about this episode and
1:22:17learn all about uh
1:22:19AI and how they might integrate it. So,
1:22:21and they obviously love your podcast,
1:22:23which is a tremendous resource to
1:22:24people. So,
1:22:25we're just happy to
1:22:27yeah.
1:22:29To be here.
1:22:30>> Yeah, well happy to have you and I mean
1:22:32it's a great resource you know mostly
1:22:34thanks to people like you who come on
1:22:35here and share your knowledge your work
1:22:37that you've been putting into the
1:22:38industry and
1:22:40your experience and lessons you've
1:22:41learned so I I appreciate you guys
1:22:43always taking the time maybe we should
1:22:46put put a
1:22:47Q&A on the books so people can jump on
1:22:50and ask you guys questions live about AI
1:22:52and their businesses and that'd be fun.
1:22:54>> We would love to that'd be fun. There's
1:22:56so many other things to talk about about
1:22:58AI you know it's it's an exciting
1:23:00industry.
1:23:01>> So big.
1:23:02So much to
1:23:03conquer.
1:23:05>> All right, well we'll get one of those
1:23:06on the books and maybe we'll do it by
1:23:07the time this one goes out that way we
1:23:09can announce it in the beginning. So
1:23:10maybe you've already heard about this
1:23:12Q&A if you listen to the intro. I don't
1:23:14know you're ahead of us.
1:23:16>> [laughter]
1:23:17>> Guys thank you again for coming on
1:23:18incredible stuff keep pushing the bounds
1:23:21of what's possible in our industry and
1:23:24you will be rewarded and so will we cuz
1:23:26we'll get to benefit from it. So
1:23:28appreciate you guys a ton
1:23:30and
1:23:31listen Q&A coming up.
1:23:34>> See you there.
1:23:36>> All right, I hope you loved that episode
1:23:37with Barbara and Ernesto so much good
1:23:39stuff AI's changing so quickly so many
1:23:41things happening all the time more and
1:23:44more capabilities more and more tools to
1:23:46help us grow our businesses make more
1:23:48money serve our customers better all of
1:23:50the above happening
1:23:53pretty much every single week new stuff
1:23:54coming out. So join us once again May
1:23:5721st 2026 2:00 p.m. Pacific 5:00 p.m.
1:24:01Eastern for that live Q&A and we'll see
1:24:04you there. Peace.

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