Using AI to Power Your Laundromat Business with Pablo Marvel

Jordan Berry [00:00:00]:
Hey. Hey. What’s up, guys? It’s Jordan with the Laundromat Resource Podcast. This is show one eighty seven, and I’m pumped you’re here today because AI has entered the chat. That’s right. Today, we’re gonna talk about AI and laundromats. We’ve got Pablo joining us from SENSE, talking about Sensesys and their AI call center service that they offer, and just AI in general. Actually, this is a really cool AI, conversation that we have today and a lot of different ways, that we can utilize AI with our businesses.

Jordan Berry [00:00:31]:
So listen, times are a changing. You’ve gotta keep up with them. Today, we’re here to help you do exactly that. So we’re talking AI with Pablo and, enjoy, but listen. Gotta put it into action. Alright. So I’m gonna catch you on the back end of this interview and put your feet to the fire and make you do something this week today, if possible, to put this into action. But before we get there, let’s jump into it with Pablo.

Jordan Berry [00:00:59]:
Pablo, what’s going on, man? Thanks for coming on the show. How are you doing?

Pablo Marvel [00:01:02]:
I’m doing great, Jordan. Good to see you. Back in the lab, I see. Different different lab for you. Got a nice, nice new background

Jordan Berry [00:01:10]:
there. That’s right. I’m in the outdoor studio right now with the, nice Hawaiian breeze blowing through it’s, listen, it’s tough to complain right now. I’ll tell them that.

Pablo Marvel [00:01:20]:
Look, next time we got to do this live and I’m, I’m happy that this is a business expense Flying out to do it in your home studio now, we can swing there.

Jordan Berry [00:01:28]:
Yeah. I feel like Alex should be paying for you to do that.

Pablo Marvel [00:01:31]:
So

Jordan Berry [00:01:32]:
You know what?

Pablo Marvel [00:01:32]:
I’m gonna make a note of that. We’ll we’ll follow-up on that for sure.

Jordan Berry [00:01:35]:
That’s good. Hey. Give us just quick who are you? And, we’ve got some interesting stuff to talk about today, so I wanna jump into that. But just give us a quick who are you?

Pablo Marvel [00:01:45]:
Well, I’m very excited, and thanks for having me on. So I’m Pablo Marville. I’m the head of business development at Sense. And over my career, I’ve always been at the intersection of the newest possible technology, trying to bring that to the oldest industries, usually oldest in terms of technology and, you know, where I think I can make the biggest impact. And for the last four years, I’ve been helping build sense into what is now the leading point of sale and payments. We like to add a couple of pluses in there. So point of sale plus, plus, plus for laundry. But I gotta say this has been one of the greatest journeys I’ve been on.

Pablo Marvel [00:02:22]:
We’ve been able to do a lot, and we’ve, you know, had a lot of great great relationships built and great times, great stories in the laundry industry. And we’re excited to keep that going over the next couple of years.

Jordan Berry [00:02:34]:
Yeah. Yeah. Yeah. Well, I mean, you guys definitely came in and made a splash, pretty quickly there and, hit the ground running. But listen, as sort of you know, I I love that intro of, like, that intersection of tech and, you know, kinda older industries or I’ll I’ll just say it. Kind of stagnant industries or at least ours has been and was. One of the things we’re talking about before we hit record is just, like, how quickly this industry has been changing, especially over the last, you know, just couple years even. It’s it’s changing fast.

Jordan Berry [00:03:09]:
It’s been sort of a theme of the last dozen or so podcast episodes over here. A lot of people talking about the changes. So let’s talk about those changes. And I mean, can we start with sort of the hot topic tech wise right now, which is AI? And let’s let’s talk about AI in this industry. Is there any AI in this industry? And if so, like how how is it being utilized right now? And maybe how do we see let’s let’s try to get to how do we see it being utilized in the future too?

Pablo Marvel [00:03:39]:
Yeah. Well, I I gotta say I’m envious of your position in the industry because you got to talk to everyone working on this kind of stuff. And, you know, you’re right that AI is the big sort of headline, not not just in laundry. In fact, it might not even be in laundry to nearly the extent that it is, in the rest of the world. And so what you know, I think we can we can cover a lot of ground here about AI, about what it’s doing. And in particular, you know, something I’m very focused on right now is bringing that to the laundry industry, in the most useful way as possible. So I guess the best place to start, at least for me, I always like to remind myself and whoever will listen to me, that AI has been around for a very long time. In fact, AI, the concept of AI has actually been in development since the fifties.

Pablo Marvel [00:04:30]:
And, you know, everyone I’m sure has heard of the Turing test. That was the first real iteration of artificial intelligence. There’s been a lot of great milestones. You know, in the eighties, they sort of invented the concept of deep learning and machine learning. And, really, in the late two thousands, you know, 02/2010 and onward is when it started coming up in in conversations and tech companies bringing that into products, you know, early versions of AI. I’ll give them this, but Siri and Alexa, I think, were laying groundwork, not just in the technology, but in building familiarity with how people interact with AI. And then you cut to, you know, the twenty ten’s when the first version of ChatGPT came on the scene. And, you know, really ChatGPT, I think, was the consumer world’s first introduction to what we’re now calling AI.

Pablo Marvel [00:05:25]:
But just conceptually, you know, how I would describe the AI that we’re using right now really works around a core concept of natural language processing. I’m sure everyone’s heard of LLMs and large language models, and that’s really the foundation of ChatTBT. And basically what that means is that computers are now able to interpret language, which, you know, for for us mere humans, which is a new adjective, I think we need to a new qualifier. We need to put mere humans because these things are incredible. I think the conceptually, the most exciting part about the AI revolution that we’re in right now is that AI is able to speak with us in natural language, which is our most familiar way of communicating, you know, with with each other. And and now that we can, you know, literally talk to computers, if you’re using a voice component or chat in a way that you would, it’s able to interpret not just what you’re saying, but what you’re trying to say. And that right there is the crux of this whole thing. Is that this intention, right? If an AI based program can interpret what you’re trying to achieve, whether that’s an outcome, you know, interpreting a lot of data or trying to understand something in conversation, it can produce results that to us are mind blowing.

Pablo Marvel [00:06:52]:
But really, that’s just the result of the enormous amount of data that it’s able to process instantaneously and produce answers that that I think have that sort of wow factor. So, you know, you can you can break that down in many ways. And I do want to speak specifically about what the coolest real applications of AI are. But I got to ask you, what is your take on the AI world? And I’m sure everyone besides chat g p t, everyone’s gotta be using it for some daily tasks. So what what’s your experience with AI today?

Jordan Berry [00:07:25]:
Well, first of all, I didn’t realize getting a whole history lesson on AI, so that was awesome.

Pablo Marvel [00:07:29]:
But I came here to nerd out. You know? We gotta get into it.

Jordan Berry [00:07:33]:
Let’s do it then. Well and and second of all, like, I you’re living in this world. I’m living in this world a little bit too. I don’t think most people are using it still, you know, in in day to day applications or or even I think a lot of people have not really delved into it a lot. We just happen to run-in circles. I think that people are using it and and doing awesome things with it. So, yeah, it’s really interesting. You know, I really I’ve I’ve delved into, you know, AI as, as as almost like a a think tank along with me, in terms of generating ideas.

Jordan Berry [00:08:15]:
I just got off a podcast interview where, the the guest who ran a pickup and delivery only business, generated their business model, helped develop their brand, which they have a super strong brand, by the way. And, you know, just like all of these different applications of, just even just chat gbt in and of itself. Right. Or or or barred or like whatever the clot or, you know, whatever one you’re using. And, you know, and, obviously, you know, I I utilize it in content creation and stuff too, which also laundromat owners could could utilize, as well. But then there’s, you know, those those are what I would call maybe, like, surface level applications of AI. And, I you know, they’re we’re starting to see, you know, more, more practical tools being developed to help us manage our businesses. And, I, for one, am very excited, to see the marriage of, like, our mom and pop sort of community based businesses and a lot of, you know, a lot of laundromat owners are, you know, really focused on customer service and high touch and, you know, like building community, building relationships to help them build their businesses.

Jordan Berry [00:09:39]:
But marrying that with this technology and seeing how, you know, how we can, streamline our businesses, but also just serve our customers, better, utilize.

Pablo Marvel [00:09:51]:
I mean, I

Jordan Berry [00:09:52]:
don’t know. I’m I’m pretty intrigued by it all, and I’m pretty excited about how it all is gonna shape our industry.

Pablo Marvel [00:10:00]:
Well, I think you’re you know, part of what you’re hitting on, I think, is is this the magic of it is that as a tool, you know, it’s by all means right now, it’s still a widget. People go to use it on the website. It’s, you know, it’s getting more embedded. I know Apple just had a a partnership outlined with OpenAI. Maybe it was a couple months ago, end of last year, where now Siri is gonna be powered by OpenAI. So you’re gonna see it more and more integrated into our daily lives. But what you’re hitting on is the fact that you can use it as a business tool, which is an incredibly powerful engine even just as a thought partner, let alone when you get into application specific functions. But people also use it on a daily basis for personal uses as well.

Pablo Marvel [00:10:46]:
You know, I think there’s some really interesting and probably worrying stats if you’re one of these big search engines like Google, but more and more people are starting to use ChatTpT or one of the one of the chat models for basic search questions. Right? And so right there, you have vast implications, not just in terms of user habits, but economically speaking, you know, you’re in the content business, marketing business. Google and a lot of people make all their money on search traffic and clicks to their websites. But now whenever I forget Chat GPD, even when I Google something, it has I’m sure you’ve noticed that little AI summary at the top, which is probably answering somewhere north of 50% of people’s questions ad hoc, and they don’t need to go to a a blog or, you know, a site. And that’s just gonna decimate a lot of businesses’ revenues that that depend on click through traffic. I will say for the listeners out there, laundry is safe because, you know, you still laundry is providing a specific service, and it’s not generic information. You’re either ordering through their website or you’re looking at their store hours and whatnot, so we’re safe. But for the most part, you know, there there’s a really interesting discussion starting to happen now about the the broader implications of this kind of ability to surface exact answers to broad questions or specific questions without even having to go directly to a provider.

Pablo Marvel [00:12:17]:
But I will say, you know, one one thing that I’ve found incredibly useful for these models is, learning and, you know, education, whether that’s research for business or or just general interest. I often will whether I’m driving in the car or just, you know, fooling around at home, I’ll use ChatTeeptoe to learn about a topic and you can design your own learning methodology. You know, I like to do, like, a question and answer thing. It’s more engaging, you know, more interactive. Or you can if I’m in the car, I’ll just put on the the voice function, just talk to it. Something even something personal, like if I’m thinking through a tough conversation or, you know, an experience or a thought I had, it is an incredibly powerful reasoning tool. So on the personal side, very cool. But if you’re not using this to better run your business, you you need to because it is just so unbelievably helpful even at the surface level.

Jordan Berry [00:13:16]:
Yeah. Well, and another thing that’s interesting is, you know, while while we’re sort of a local, you know, business and we’re not a knowledge base or information based business, we’re more of, like, a service. Right? So that that does give us a layer of security. But, you know, in terms of, like, searching on Google and stuff and showing up in the power of that, but I do think it’s going to impact a lot of how people are getting information and interacting with businesses. So even though we’re sort of safe on that side of things, that whole process of finding the right business to work with and deciding who you’re going to, you know, trust with your laundry and, like, that kind of stuff. Right? That is evolving and is gonna continue to evolve. So it still behooves us, to pay attention to and not just kinda rest on our laurels saying, hey. We’re safe, because we are on that side of things.

Jordan Berry [00:14:15]:
But we also need to start kind of engaging on how people are starting to interact with businesses and it’s going to open new opportunities. Right? And, you know, whether that’s, you know, figuring out how to, how to show up on chat g p t. Somebody’s like, hey, what’s the what’s the best laundry service in Dallas or whatever. Right? And and figuring out how to rank, quote, unquote on that or if it’s looking at other methods. Right? Like, one thing that we’re seeing a lot of right now is video is very powerful, tool even for kinda local businesses. I was just talking about a buddy of mine. He’s got a Hawaiian island grill restaurant, and he paid two of his employees to manage his social media. He incentivized them with a trip to Disneyland to get the social to, you know, his Instagram account to a hundred thousand subscribers.

Jordan Berry [00:15:12]:
They did it in, like, five days. And so he gave and he gave him two weeks to do it. They didn’t like five days. So he upped it to a trip to Hawaii, if they could get 200,000, you know, within the first two weeks and they did it in like ten days. And so they ended up going to Hawaii. Right? Right. Like, so there are other

Pablo Marvel [00:15:31]:
Next next time he has one of these projects, you know, send send them my way.

Jordan Berry [00:15:34]:
I would probably

Pablo Marvel [00:15:35]:
if that’s maybe that’s how I get out to Hawaii.

Jordan Berry [00:15:38]:
I, yeah, I don’t know if you’re cute enough to get 200,000 subscribers. I don’t know. Maybe maybe you are. I’m already ready. I’ll

Pablo Marvel [00:15:46]:
go do my hair and makeup before the next podcast with you.

Jordan Berry [00:15:48]:
That’s right. That’s right. You better go on a better podcast than mine if you’re trying to get to 200,000. No. But, the but but there’s other ways that people are interacting. Right. And we need to be paying attention to those and AI can help, help you figure out what that is and the best path for you and your business. As you’re, you know, trying to, connect with your your ideal client, your ideal avatar, and Yeah.

Jordan Berry [00:16:17]:
Sell your services to them.

Pablo Marvel [00:16:19]:
A %. So I guess, you know, maybe maybe, I think so maybe I’ll tell you about some of the ways that I’m seeing people use this because what you’re, you know, what you’re getting into here is definitely the core of what AI is is amazing at right now. Right? And I want to just keep a tab open in our mind about this concept of natural language processing. So all of the most, I’d say, productive ways to use AI right now are in we’ve seen in the marketing space, and you’ve seen this huge amount of applications, specific function based applications come out around, like you said, managing social accounts or helping with email campaigns, branding. Right? You mentioned this, this business that was able to actually write out their whole business plan. So that’s more of like a strategic function, but then develop all the branding around that. So obviously, AI is incredibly good at writing marketing content because, you know, to a certain degree, there’s a generic element to, you know, Hey, I’m introducing myself. I’m this brand.

Pablo Marvel [00:17:26]:
Here’s what you should like about us. Try out our products. Right? And obviously writing it is one thing, but then being able to pinpoint audiences and actually just have a repeatable function where you’re you know, not just copying and pasting emails, but, you know and this is, I think, also merging in a lot of the tools people already use for marketing. I think the innovation, let’s say, with AI is this concept of being able to take dynamic input and having structured output. So dynamic input could be like feedback from customers. Right? Like a lot of good marketing tactics rely on when you put an ad or a campaign out there. What is people’s natural response to that and taking that feedback in real time and refining the next iterations of that? And that could be people’s responses. Like, are they clicking on your ads, or what are they, you know, writing on your comment section? But it also could just be these lookalike audience and saying, hey.

Pablo Marvel [00:18:26]:
This demographic responded really well to this, so we’re gonna write even more tailored content for that demographic and drill in there. So marketing as a category, excellent, excellent use case. But I would say the other really incredible application right now, for AI uses is data crunching and analyzing your business data. And up until now, you know, a business owner’s ability to make decisions looking at their existing business has been limited to how good your dashboards and reports are, but also your ability to interpret that data. And so again, we’re coming back to this point of interpretation where, you know, we all use various reports or dashboards to run our businesses, whether that’s downloading Excel sheets and kind of, you know, drawing your own conclusions or maybe if you’re able to manipulate those reports, you can get some really interesting insights. Or if your company provides a really clean looking dashboard that they’ve helped determine, you know, what are the most important insights to be taking from here. But the big step is that traditional software and what’s, you know, in industry terms is now called linear software, is that you have this button executes this function or this data entry field correlates to this area in the database. And so it’s very linear.

Pablo Marvel [00:19:57]:
And so, you know, you’re limited by whoever is providing that to take that and, you know, show it in whatever way. With AI based tools, you can dump a ton of unstructured data in there and not only ask it general or specific questions, but you might even ask it such a question as what do you see here and tell me what I should do with this data. So let’s be specific. If I’m a if I’m a laundromat owner and I download the I find the biggest file possible with all my customers, all the transactions, all of the types like it was a pick and delivery or self-service or you know, the size of the transactions, the frequency, you know, get that all in one report and you find a specific AI model that’s trained to work with this. And actually, that’s something I want to come back to is how how AI tools are what’s called verticalizing. Now they’re getting really good at specific functions instead of this kind of general bucket. But you find one that is meant to analyze data from a business, right, customer transaction data. And generally speaking, these models will not only tell you the the basics of what you need to know, but they’re very good at drawing their own conclusions about where you should be looking based on a goal.

Pablo Marvel [00:21:19]:
So if I upload this report and I say, okay, I don’t you know, I know my daily transaction volume and I know how many delivery orders I had and whatnot. Let’s say I want to figure out which of my self serve customers are most likely to be able to convert to wash, dry, fold or pick them and delivery customers. What these models are capable of doing, which, you know, certainly you could do it to just take you 10 times longer and at this point not be a good use of your time at all, would be to say, okay, let’s look at the customers that come in most frequently and have the highest transaction volume. And, you know, it might infer that that’s someone who has a family or is doing a lot of laundry on behalf of someone. And based on how frequently they’re coming in, would it actually be a net cost savings or time savings for them to come in or to use a pickup and delivery service? And then it might, you know, based on what application this lives within, if let’s say you have a sophisticated point of sale software in the laundry industry, then it might say, would you like to That’s not

Jordan Berry [00:22:26]:
wink, wink.

Pablo Marvel [00:22:27]:
You know, there’s a couple out there I can think of. It might say, would you like us to text or email this customer with a promotion or discount or, you know, offer to try this out? Right? And so that’s where we kind of get into this concept of agentic AI, which is another great little buzzword for folks who are talking about this. Agentic AI is not just information response, but the ability to execute functions. That’s a really cool area that’s developing very quickly right now. So we have marketing. We have data crunching. Yeah.

Jordan Berry [00:23:04]:
No. I was just gonna say, I mean, the agent, you know, the agent thing, the agency thing is is a massive leap, from this the just the straight data, thing, because, you know, you can. I’ve seen people doing all kinds. I mean, you talk about like personal use cases, right? Of like, I’ve seen people dump their blood test results into, chat GPT, have it analyze and have it create a a plan. And, you know, you can even have it ask like, hey. Do you need me to set a doctor’s appointment or a follow-up appointment? You know, traveling, like, all kinds of different things where now this this agent can go through. And and also, I mean, it’s gonna have marketing, which I’m sure we’re gonna get into, but it’s gonna have marketing implications, customer service implications, to all these things too, where now you have these agents working for you at a fraction of the cost of an human agent, and that can work twenty four seven Yeah. Doing all kinds of different things, for your business, which leaves, like, a lot of very exciting possibilities, for our businesses.

Jordan Berry [00:24:12]:
So I didn’t mean to cut you off, but I just got excited because there’s some interesting stuff happening with the agency model.

Pablo Marvel [00:24:18]:
A %. And I think, you know, a thread that is becoming more and more common as people are saying, you know, we’re, we’re just waiting for the first, you know, billion dollar company with under 10 employees to come out because in all reality, you know, depending on what industry and what your project is, that that is entirely possible now. And I think it’s also important to just touch on one thing, which is that there’s a lot of discussion and, you know, apprehension, let’s say, around job cuts and and replacement. And I think that the better way to think of it, at least certainly the way that we think of it, is this should be 10 x ing output, not reducing by a factor of 10 your labour or staff. So if you’re a laundromat and you have five employees and you are looking at these tools, you shouldn’t be thinking, how can I fire three of my employees and bring down my costs? You should be looking at and saying, how can I turn my five person team into a 50 person team with what they’re each doing? And obviously, depending on the industry, you know, a lot of employment and laundromats around you know, people actually folding the laundry, you know, doing the wash, I fold and keeping an eye on the store. It’s not necessarily desk work or analytical work. Usually that falls on the owner, but you can now expand that part of your business. And as a small laundromat, you know, one location with one to five employees, you can operate your business theoretically like a 30 store chain with middle management and things like that.

Pablo Marvel [00:25:51]:
And so it’s really, you know, the the big the big idea is just, you know, you can do anything that’s not necessarily helpful. You should you should be able to figure out what exactly you wanna do, but you can draw a pretty straight line, at least from an operational and and, business business management sense today with that.

Jordan Berry [00:26:12]:
Yeah. And, you know, this is not necessarily really the topic of today, but, you know, robotics is another one that I think is quietly or at least more quietly than than AI, ready to just revolutionize a lot of stuff. And, you know, I would argue, you know, because I think that’s a that’s another one and maybe even more so one that, you know, people fear is gonna replace jobs. And, you know, the reality of it is is robotics will replace some jobs and stuff, but it’ll create other jobs, other opportunities, other roles for us mere humans, to play. Right? And so there will be some, like, shuffling around and stuff. But, you know, robotics and and AI kinda combined, I I love the perspective of, you know, how can we how can we 10 x what we’re already doing? You know? And maybe maybe the goal isn’t to get to 50 employees. Maybe the goal is to stay five employees in 10 x what we’re doing with the five employees and let AI run, you know, all the all the behind the scenes stuff, and you just have your employees that are processing laundry, until you have robots doing it. And then you’ve got employees doing other stuff.

Jordan Berry [00:27:25]:
I don’t know, man. That’s that’s down the line a little, I think. But

Pablo Marvel [00:27:29]:
I I don’t know. I agree I agree with you on the robotic front except I will say the day the day that a robot can pull my balled up socks out of my duvet cover and separate them and fold them, that’s when we’re living in the future. For now, we’re, you know, let let it, sort your groceries and whatnot. But so just going back to applications here, and this is something that, you know, I think is something anyone can try out today. The other really incredible area that AI is available today in product form is customer support. And so, you know, we had launched this call center recently called SENSEAssist. And just sort of touching on something we mentioned earlier, the reason I think this is so exciting for us, but also we’ve had incredible adoption from our customers. It’s by far our highest producing product in terms of know, how widely it was adopted by customers and and how regularly they’re using it.

Pablo Marvel [00:28:28]:
The the main reason this is so exciting is because of this voice aspect. And just touching on this notion that voice is how we’ve always communicated. It’s the most efficient way. I could say I could mumble. I could say half a sentence, and you know exactly what I’m saying. You know, it’s so familiar with us. You don’t have to be formal and type it out. And on top of that, there’s, of course, the the sort of headline bullet points, which is that when you have a voice AI customer assistant answering the phones for you, you know, it’s never cranky.

Pablo Marvel [00:28:59]:
It’s always available twenty four seven. It can actually do things in the agentic front. It can place orders for you. It can transfer calls dynamically. You know, if you have a commercial customer calling, it’ll know to send it to the owner, whereas if someone’s dog is stuck in a dryer, it’ll send it to the store, things like that, which we haven’t seen yet, but soon enough, I’m sure. But the call center is fantastic, for for a couple of reasons. Number one, it is it is productizing customer service, which I think is a really important concept for any business to focus on. Usually in the laundry industry, customer service is something that the owner feels like they have to do or they need to really trust their their management team and attendants to be able to represent the brand effectively, to be able to handle important calls just as well, you know, important in the sense of new business, just as well as an angry customer and have that level of professionalism.

Pablo Marvel [00:30:00]:
But when you look at the top brands in the world, you know, Amazon, Apple, and you also look at the largest you know, the top performing laundromats out there, the hundred store chains or the 50 store chains, or frankly, even the three store operators who operate at an incredibly high margin and have this amazing customer retention, they all say the same thing. And you and I have both heard this at all the big laundry conferences. The first thing they’ll say when they get the question, you know, what’s your secret sauce? They say we invest in customer service. And to your point about reducing costs and having access to professional services through a product like Sensesys, You know, I’m not just plugging ours. There’s many out there. There’s there’s many good options for how to have an AI voice, customer service, but you’re really investing in this notion of customer service. And in order to effectively productize it, you need to be able to measure the results. And so that’s a big thing we’ve focused on here is, yes, you you can subscribe to our call center, get it up and running, you know, as as quickly as possible, and take time, give time back to your management or your employees or yourself.

Pablo Marvel [00:31:12]:
But we also make a big effort to show the results of what that is actually doing to your business. So we define that by a couple of key metrics. Obviously, time saved. You know, right now, we’re saving owners hours and hours a month or, you know, on a however you want to measure it, per day, per week, per month. They’re getting real time back, and that can be reinvested in just better performance, you know, folding more laundry, getting more customers through the store, or spend that time in growing the business and, you know, thinking strategically. So time saved has a big dollar sign next to it. Customer retention is another big thing. Right? Your your business is only as good as the customers you keep.

Pablo Marvel [00:31:52]:
And in laundry, you know, it’s a it’s a very competitive space just in terms of the services being offered. So the way that business owners can stand out is by building a brand. And, you know, I’m sure everyone knows the term you are what you eat, but in the business sense, I really think it’s you are your brand is the tools and customer experience that you provide. And so a big goal with launching SENSEASSIST was give any launch mat, whether it’s the hundred store chain with middle management and a lot of capital behind it, or the one store mom and pop, give them easy access to incredibly high quality professional customer service, and they will feel the results almost immediately. And then, of course, the other big metric is revenue. So we’ve built functionality into this, because we obviously have such a robust business and many products and features around the call center. We’ve integrated the call center into our point of sale and business management system such that when someone wants to place an order, that will the AI will know who the customer is based on their phone number. It can take their order, it can place the order, and it can actually not only place orders, but if someone calls and says, hey.

Pablo Marvel [00:33:12]:
My laundry is supposed to get here this morning. Where is it? You can look it up. It’s fully integrated with our system. So we see regularly now, which is really cool. We see operators just having orders pop up into their business manager. And a critical piece of this is not just, let’s say, a $50 pickup and delivery order. It it might be a $50 order if the attendant picked up the phone and, you know, they’re busy. There’s a kid’s crying in the background.

Pablo Marvel [00:33:39]:
There’s laundry that needs to be folded. They say, okay. Yeah. Yeah. Alright. Yeah. It’ll be $50. Great.

Pablo Marvel [00:33:43]:
We’ll pick it up tomorrow. Okay. But our system is actually sales trained. Right? And so the owner can when they onboard, they can put in anything they wanna upsell or any specials they’re running or promos, whatnot. And so we actually, on average, see the the average order value for orders placed through our AI system is higher than the exact same order had it just been placed online or, you know, over the phone with an attendant who didn’t know to ask, hey, we have lavender spritz, make your clothes smell really nice. It’s only 50¢ a pound or, you know, we have a shoe cleaning special or what have you. So it’s not only revenue coming in, but it’s increased revenue just based on the way the system is trained. So it’s a really powerful product.

Pablo Marvel [00:34:29]:
Even if you don’t use ours, I recommend that every business owner should look at how they can productize their phones and reap the reap the, benefits of that.

Jordan Berry [00:34:40]:
Yeah. I mean, it’s kinda crazy. Right? Like, phones were so out, like, you know, the early two thousands that were like, hey. It’s all about email and all this stuff. Right? But phones never really went away. Phones are powerful. I know. The the power of phones are like they’ve always it’s always been there, but I think people are starting to realize now, you know, man, like, that’s just a great sales tool.

Jordan Berry [00:35:06]:
And what’s interesting, like, I think a lot of people maybe are listening to this and have never knowingly heard an AI, you know, talk like the the technology is insane right now. Like, not just the sound of voices, but the cadence and filler. Like, just it it’s like you’re talking to a human and, you know, if if you don’t say anything and you’re not really looking for it, even sometimes if you are really looking for it, like, it’s hard to tell that you’re not talking to a human. And like you said, it’s really, powerful to have a very human sounding, not just voice and cadence, but also sort of that language model, right, of being able to understand, you know, things that a human would understand that aren’t clear, you know, for like a, like an old timey robot, you know, and I think a lot of people are thinking they’re still sound like, you know, the eighties robots, but it just sounds like you’re talking to a person and the rhythm is great and the cadence is great. It’s wild, man. Yeah. Yeah.

Pablo Marvel [00:36:12]:
So let me throw some, some stats out there that really even, you know, I was responsible for this product and even I’m very surprised when I, you know, do my, my monthly reviews and, and look at the data logs. So, to your point, eight somewhere between 8085% of customers have no idea that it’s an AI. Or maybe I should say, you know, because we don’t know. Maybe they know and they love it. But on the flip side, 15 to 20% of people actively ask, hang on. Is this is this a robot? And the AI will respond, actually, yes. I’m a virtual assistant. And then the the best part is that people will they’ll they’ll continue on with the normal niceties of humans.

Pablo Marvel [00:36:57]:
Like, they’ll say thank you and, you know, and it’s sort of this amazing, juxtaposition of That’s

Jordan Berry [00:37:02]:
because we’re all scared of AI, and we’re afraid

Pablo Marvel [00:37:04]:
Exactly.

Jordan Berry [00:37:05]:
We’re not nice to it. It’s it’s coming for us.

Pablo Marvel [00:37:08]:
Who lives at 25 Magnolia Way. Yeah.

Jordan Berry [00:37:11]:
Yeah. Alright.

Pablo Marvel [00:37:12]:
Like, sorry. I didn’t

Jordan Berry [00:37:14]:
say thank you.

Pablo Marvel [00:37:15]:
Exactly. That’s okay. So we have a a overwhelming number of people who just have no idea or no comment on the fact that it’s a a bot. And even still, it’s not like those 20% have an issue with it. They’re just sort of surprised. But we we are currently processing we’re handling about 90% of the phone calls that come into any given LaunchMat, which if you think about it as a sort of staggering number that just by implementing this one product, your talk time, your call time is reduced by 90%, which which I think is is fantastic. You know, across the board, who doesn’t love who doesn’t love getting that time back? Somewhere around 30% of the calls are in another language. So, obviously, one fantastic thing about this is that it’s instantly multilingual across any language.

Pablo Marvel [00:38:06]:
You know, obviously, in in the industry, we see a lot of Spanish, native Spanish speakers or an Asian language, a lot of Russians in Brooklyn. So it’s really cool to listen to these calls where someone will say, you know, in Spanish, they’ll say, do you speak Spanish? And instantly the AI will switch over to Spanish and have a seamless conversation. So I think that’s really powerful. Also, you’re getting a multilingual employee. Yeah. And, you know, I talked before about the the uplift in actual revenue being driven by these. But just in general, you know, what I would say because I I realized as we’re talking about this, there’s a lot of maybe it sounds technical, like, this is really easy product to listen in to implement. And one thing that really surprised me was, you know, we have we have probably pulling on, like, anywhere between fifty and seventy five customers a month who are onboarding onto this.

Pablo Marvel [00:38:59]:
It’s just it’s a massively adopted product within our ecosystem. I I don’t know have an exact number, but a very, very high percentage of customers will actively review the calls because we have it in our business manager. You have a call log. You have a summary. You have a recording if you wanna listen to it. A lot of people in now instead of picking up the phone, will spend that time reviewing the calls, and you can set parameters for things to pull out. Like, we can say, you know, identify all calls that talk about placing an order or that have an urgent issue or, you know, reporting issues within the laundromat. Right? But our customers will regularly get in touch with us and say, you know, I was listening to all these calls, and so many people were asking about horse blankets that now I offer a horse blanket washing service.

Pablo Marvel [00:39:52]:
Right? So there’s this amazing feedback loop because we’re doing the heavy lifting on on crunching the data, so to speak, and just providing the insights. Say, hey. A lot of customers are asking about horse blankets or, you know, a lot of issues are happening in this location. You might wanna go, you know, talk to the manager over there. I like the the little background pet. Yeah.

Jordan Berry [00:40:14]:
The pup. The pups walking. Yeah.

Pablo Marvel [00:40:17]:
But so, you know, it’s it’s a it’s a amazing, I’d say, lens into a previously obscure area of your business. There was no way that prior to a product like this, unless you really were going over the top and investing in it, there was no way that owners were taking the time to understand what was happening on the phone. If they weren’t on the call themselves, they either don’t care or don’t have the time to care. And now that’s another incredible source of data and insights about what’s going on in your store.

Jordan Berry [00:40:49]:
Yeah. Well and and circling kinda back around. Right? So when I do consulting calls and talking to people who want to buy a laundromat or trying to improve their laundromat or their laundry service or whatever, you know, I have an AI in in those calls, you know? And so after the call, you get. A link with, you know, you get the recording of the call and then, you know, an AI breakdown of everything. It, it, it outlines every question that was asked, who asked it outlines, you know, action steps for everybody. It like and it’s all clickable. Right? So if you click on it

Pablo Marvel [00:41:24]:
Yep.

Jordan Berry [00:41:24]:
Like, hey. You know, Pablo said that, you know, he was gonna send me this. I can click on that and find that spot in the in the interview. Right? Like, so I use that. Right?

Pablo Marvel [00:41:33]:
Too much too much accountability these days.

Jordan Berry [00:41:35]:
I know. That’s that’s what it comes out to. Right? But so so you have that. Right? But same with these calls. Right? So you get these calls, and you get these summaries and all that stuff. But another thing that you can do kinda circling back around is you could take transcripts of these calls, throw them back into AI, and say, hey. These are my sales calls for the last month or week or whatever. You know, can you go through them and pull out any insights? How can you know, what what are the biggest pain points? What are the biggest opportunities, you know, for me to serve my customers or grow my business or make more revenue or what like, right? So you can have AI going back to, like, crunching that data and analysis.

Jordan Berry [00:42:13]:
You’ve got all these tools now that are can work together in, like, powerful ways to where you don’t necessarily even and not that you shouldn’t, but you don’t necessarily have to go through and read all those transcripts. AI can do it for you and synthesize it all and then give you some very applicable things that you can implement or that you can have your AI agent implement, going forward. Right? And so it A %. Gets very synergistic in that way and can I mean, just super powerful stuff? Super powerful stuff.

Pablo Marvel [00:42:48]:
A %. So I’ll give an example of one of my favorite call recordings that I’ve listened to. And to your point about synthesis, you know, this is, I think, where AI applications can differ. So, you know, there are other AI call centers out there that are either standalone or maybe you’ve subscribed, you know, there’s some legacy platforms like Grasshopper or Talkdesk that are implementing AI agents, but they’re really sort of third party call center products or phone products, you know, like Google Voice, things like that. Where where you start to see some some separation in the pack is how integrated and how interconnected a an AI product, in this case, a call center, is with the rest of your business ecosystem. So, obviously, that’s a big, North Star for Sense is to provide a product or service for everything that you touch in your day to day operations in the store. So, for example, we if you’re a specific type of customer that uses our card readers as well as our point of sale and you use the SENSE website and you have our, you know, and, and, and. We had a, with a customer, an end customer call one of our laundromats.

Pablo Marvel [00:44:08]:
And at first, it said, you know, where is the laundromat located? I wanna come by. And the the AI said, well, where are you coming from? You know, it’s he said, how long will it take me to get there? And he just gave sort of a random, random, like, what’s I’m crossing

Jordan Berry [00:44:25]:
the street or something like that?

Pablo Marvel [00:44:26]:
Yeah. It was a a landmark.

Jordan Berry [00:44:28]:
Is Landmark? Yeah.

Pablo Marvel [00:44:29]:
Yeah. Brain fart there. But, so he gave a landmark and the AI located it in the background, did the math. It’s like, okay. It’ll be about a fifteen minute drive if you take a car or twenty five minute train, what have you. Then the customer said, I have two garbage bags full of laundry. I’m gonna wash it myself. How much will that cost? And the AI system, because it was plugged in, it knew what washers, the the store had, and it was able to approximate the weight more or less of two garbage bags.

Pablo Marvel [00:45:05]:
And it said, well, my guess would be each one’s about, you know, 30 to 45 pounds. So you can use the we have two available 45 pound washers right now that aren’t being used, and each one costs $5.25. So bank on $11 to do your laundry plus dry time. And by the way, the store is closing in an hour and a half, so you should get over there. Right? And we looked at it. We’re like, oh my god. That’s amazing. We looked at it, but it it’s not like the owner had put in all those specific information.

Pablo Marvel [00:45:35]:
It it it was all inference. Right? And so the flip side of that coin is that sometimes it’s wrong. Right? And I’m sure everyone has heard about what’s called hallucinations and AI making inferences. Sounds very confident, but it’s not always right. And that’s something that’s gonna be improving over time. You know, we’re we’re not gonna say that we’re not gonna say we we have a ton of influence over that. We’re just hoping that good old, uncle Chad TPT can figure that out quickly. But the the point is that it’s not just, this is a feature I’m implementing.

Pablo Marvel [00:46:07]:
It’s it really is representative of an ecosystem and sort of advanced capability of thinking like an attendant that had picked up the phone and looked over and saw what was possible. So that was a really remarkable, instance. Another great, thing about this product is that it will deflect bot calls. And I will tell you, I’ve listened to some hilarious calls where the AI AI picks up and it’s a scam or a bot caller, and the AI has started to actually get pissed off. That’s the best. It gets pissed off just like me. I’m like, stop calling. It said and there was one call I listened to where it said, you know, we don’t have time for spam calls.

Pablo Marvel [00:46:47]:
Thank you. And just hangs up. Goodness. Better myself. Yeah. So, anyway, it’s it’s really cool to see this. I wish I could take credit for all the cool things it’s doing, but it really is a living, breathing thing.

Jordan Berry [00:47:01]:
Yeah. Well and it it really is remarkable. Like, I’ve I’ve done a few calls where, you know, this has been implemented in laundromats, and I’ve, you know, I’ve done some calls where there’s multiple locations and done some like, hey. Can I get directions, you know, and try different things like landmarks, cross streets, specific addresses, you know, how long is it gonna take? Like, all that stuff. And it’s just it’s wild, like, how accurate it could be. And, you know, like, it would give me a specific location like this. It looks like this one’s the closest to you. And I’d be like, let’s go on the I need to go the other way because I’ve got something after.

Jordan Berry [00:47:37]:
Is there anything in the other direction? You know, like stuff like that where you’re like, man, this is wild. Like, the capabilities that this thing has and, you know, it’s it’s exciting to have this conversation and talk about it and stuff. But until you’ve really, like, experienced it and, like, interacted with it with somebody’s laundromat or or a sample one or something like that, it’s it’s tough to appreciate, like, how crazy this is to have that capability there.

Pablo Marvel [00:48:10]:
I, I was at dinner with my dad last night, and I asked him. I said, when right now, when when you were my age or younger, you know, when you were a kid, what is something that you have now that you never thought would be possible, and even, like, conceptually? And I loved his answer. He said FaceTime. You know, Zoom, FaceTime, video chats. And his, my reaction was like, really like FaceTime. But I think that further reinforces the point that like you and I grew up, you know, more or less in the age of FaceTime and, you know, zoom, video calls for me, but trying to, you know Yeah.

Jordan Berry [00:48:54]:
I appreciate what you were trying to do there. I appreciate that.

Pablo Marvel [00:48:59]:
But, you know, we grew up with that. And so I was sort of unimpressed. I thought he was gonna say, you know, some but he’s he doesn’t even anyway, that, I think, is a perfect example of, like, the way we talk about AI now. We’re tip of the iceberg, and this is only gonna get cooler. We’re still

Jordan Berry [00:49:22]:
Yeah.

Pablo Marvel [00:49:22]:
We’re still typing on keyboards. Right? Like that, I imagine very soon, that’s gonna be gone. In fact Yep. I I found this hilarious trend called vibe coding. I don’t know for the all the engineers out there, but there’s this new thing called Vibe Coding, which is where you just talk to your computer, you know, verbally, and it does all the coding for you. And so I literally, like, could just get on a, you know, a format like this and describe a website or a app widget that I wanna make, and certain programs out there will actually be writing lines of code. And so, you know, if you’ve seen, like, Minority Report or any of these sci fi movies, like, this is all happening so fast that very soon, even Chad GPT going to openai.com. That’s going to be laughable and just say like, really, you guys like held primitives in your hand and right.

Pablo Marvel [00:50:14]:
So I I’m curious, you know, for for all the people who have sort of be in the pre and post, you know, tech boom in the last fifty, sixty years, like, what is the thing that everyone never thought was even conceivable when they were young adults or kids that now is just sort of second nature?

Jordan Berry [00:50:33]:
Yeah. Well and, you know, here’s something for you youngins, is, like, the same thing’s gonna happen to you. Right? Like and probably a lot faster. You’re gonna be, like, my age and not that long. And then you’re gonna be, like, I never even imagined. Like, I I just think with AI and robotics doing what they’re doing right now, there’s this, like

Pablo Marvel [00:50:53]:
I I don’t wanna call

Jordan Berry [00:50:54]:
it a silent revolution happening because it’s not silent, but it’s I think it’s more quiet than what’s really going on here. I think there’s a lot more happiness specifically in robotics, than is touching us in our day to day lives at the moment. And I think there’s gonna be that moment where chat GBTs released and all of a sudden it’s like the game’s on. Right. And I think there’s going to be that similar moment in robotics where we’ve had some like. You know, Roomba and stuff like that, which I guess is in hot water right now for taking picture of people’s houses. But, you know, you know, that that privacy concern is is still gonna be there.

Pablo Marvel [00:51:33]:
Oh, god.

Jordan Berry [00:51:33]:
I’d rather look at ignorance. Yeah. I know. It’s it is it is like a double edged sword. Right? But, you know, the the context that we’re talking about it in right now is like this is how, you know, 11 thing that I’ve been trying to help people do now, right, is like take their their small businesses and turn them into companies. Like that’s, I think, I think that’s really the path to real financial freedom and real wealth is turning your your mom and pop, your small business into a company. And in order to do that, we’ve got to have the right tech stack and we’ve got to have the right people. And there’s never going to be getting around those two variables, to do it, but then we’ve got to implement them in a, in a way that helps us do more with less.

Jordan Berry [00:52:33]:
Right. And that’s, I think the power of AI here is it’s letting us do a whole lot more with less, less time and effort, less energy, less thought it’s no longer reliant on me coming up with good ideas. It’s more about the ideas are there. You know, you can get the ideas now for free. So you’ve got to implement, and you know, this, this is, you know, I think we’re on the precipice of something cool in our industry. I mean, maybe just kind of in general, a little scary, a little cool, but you know, in our industry, I think we’re on the precipice of something very cool. And I think this the Sense Assist is a huge leap, for us. And like I said, there’s I wouldn’t say there’s a lot of other services, but there are there’s a few other services that do something similar.

Jordan Berry [00:53:21]:
But what’s intriguing about the way you guys are doing it is that you’re it’s integrated right into everything that you’re you’ve got or will be integrated into everything that you’ve got if it’s not yet. And, And having the power to be like, Hey, we’ve got these two machines open or, Hey, you can place an order right here for pickup and delivery and I’ll just schedule it for you. And it just pops up in your driver’s app, you know, like, there you go. Right? Like I %. Scratching the surface here, I think. I

Pablo Marvel [00:53:51]:
I agree. And I think, you know, just to circle back to something you mentioned, which I think is really powerful. I first of all, I love this idea of turn your small business into a company. But if I think about most of the people that I know in the laundry industry, they’re really chasing what what you had said, which is financial freedom, or I would even just say freedom in general. You know, people define that in different ways. There’s financial freedom. There’s, you know, time. There’s a great book for you.

Pablo Marvel [00:54:16]:
Five types of wealth. You know, I’m gonna blank on a couple of it. It’s time, it’s financial, it’s, you know, passion or what have you, relationships.

Jordan Berry [00:54:25]:
Yeah.

Pablo Marvel [00:54:26]:
The important stuff. And I think that, you know, the underlying notion here is that these tools are above all else freeing up your time, just like you said, do more with less. Right? And yes, they will generate more revenue and they will create better customer experience. But if all you’re chasing is just more free time to go do what you want and do what you love, then you you you have twice the responsibility to be looking at the latest technology. Now that’s a double edged sword because on the one hand, I would say, you know, that that sounds daunting. That’s my job. You know, my job, especially at SENSE, you know, is to come up, is to do the work, do the research, bring the products to the industry and say, these we have thought a lot about everything you could possibly do in this industry from a technology and management perspective. This is where it’s at.

Pablo Marvel [00:55:20]:
And I would just say, you know, it’s never too late. Like, no matter how if if it’s daunting and this is not meant to be condescending at all, but if you’re you know, a lot of people are sort of nervous about, like, I have to learn this new thing or this is kind of obscure conceptually. It’s not. It’s really easy. We’re we’re at least we’re trying to make it really easy, but importantly, it’s just it’s never too late to learn about how to put these to work for you because it it is only getting more advanced, it’s getting easier to implement. Just to drop some Easter eggs here, Sensesys was our first foray launching an AI based product, but without spoiling any upcoming surprises, we have a lot of really cool stuff coming out this year regarding, you know, implementation of AI across, you know, new instances like a call center or just reinventing the way we interact with, other areas of our product. And I think, you know, I my, my friends get tired of this because if I if you give me enough room road to run here, I’ll talk your ear off. But I I tend to get very philosophical about this because it’s not just a new app or a widget or whatever.

Pablo Marvel [00:56:30]:
Like, we really are in a revolutionary era in terms of technology, and a lot of the experts say that, you know, the the this is the greatest thing since sliced bread being the Internet, you know, the invention of the Internet, and then the next big tech milestone is the release of of AI that we use today. But what I would say is that in all my experience with this, in just launching this product and delving into it, the most interesting sort of human aspect is that it’s really changing the way that we interact with technology. So it’s not it’s not just the thing it does. It’s not just the output and the functionality. It’s the way we interact with it. And we’re sort of in this awkward, like, tween age now where we’re getting the results, but we still have to type into our computers or maybe, you know, certain people may use the, like, voice functionality talking to it. But we’re in our, like, awkward team phase right now where very soon the actual interface for a lot of people’s technology and that’s not just the business manager or their point of sale or whatever. Like, you know, if you have an Alexa home product, like, you probably find yourself talking to your your lights or your air conditioner, which is bizarre concept.

Pablo Marvel [00:57:50]:
Right? But, like, a specific example is when we, were working on implementing a, AI layer to analyze your data and your insights. Right? So if you go into your reporting section and you’re in the business manager, fundamentally, it’s not just dropping your delivery sales report and saying, analyze this and, you know, give me some answers. It actually you know, for the modern user, you probably will never open a report again. You will just have targeted questions that you type into your chat widget, your AI chat widget and say, you know, I get the reporting, I get the daily sales. Here’s what I’m trying to achieve. Help me achieve this. And that could be growth. It could be, you know, cost reduction.

Pablo Marvel [00:58:39]:
It could be whatever, better marketing, what have you. But that’s a big shift in the way we actually use technology. And that’s going to redefine, you know, I think a lot about just, you know, the software providers out there, the small business owners, the big business owners too. Like, everyone is sort of starting to chew on the same question now. It’s like, what’s what’s really going to change fundamentally about the way we use this now? So that to me is very exciting.

Jordan Berry [00:59:06]:
Yeah. And it is very exciting, but it also I mean, it can be daunting or overwhelming, as well. But listen, if you if you’re at a place where you found yourself, I don’t want to say complacent. I’ll say comfortable. If you’ve been comfortable in your your business and you really haven’t, you’ve just kinda been coasting, I mean, I think now is the time to to start playing. And and that’s how you should think of it. I think if you if you’ve done nothing with AI for your business, I think just starting by playing, don’t put a lot of pressure on it transforming your business or anything, but just kinda playing around with it and seeing what it can do to help you grow your business. I think you’ll find that if you just play with it a little bit, it’ll start giving you at the very least, like, ideas.

Jordan Berry [00:59:53]:
Get the creative juices flowing, reenergize you to kind of get jump started again. And then, you know, kind of like Pablo was saying is like there are other people thinking about practical use cases for AI, for us as an industry and, and and more. Right? And so you don’t necessarily have to discover all of that yourself. You know, we can rely on other people doing that. And and listen, you know, Pablo alluded to this. This is like tip of the iceberg stuff, that’s going. And so, you know, I I just if you’re not doing anything with that, I I just start playing. Because if you don’t start playing now and start getting familiar and getting a little more comfortable, starting to understand it a little bit more.

Jordan Berry [01:00:42]:
You know, things are moving fast, and I think they’re only gonna move faster going forward. And that’s we’re just not an industry used to that right now.

Pablo Marvel [01:00:52]:
Well, I think that’s sort of the the best part is that there’s probably a lot of people who listen to this podcast who are like, I I don’t really care or I don’t want to even know about that. You know, laundry is laundry. And I I don’t disagree with that. You know, there’s there’s an important it’s it’s not a worse way of doing your business. It’s just there’s so many different models in the in the laundromat industry. So the things that I like to focus on just conceptually is that I mean, I could talk for hours about this stuff, you know, what’s coming and and what it can do and what it will do. But at the end of the day, my experience is that this is just the best form of time saving and creating efficiency in your day to day life as a business owner or as a as a person or what have you. But if you’re interested in saving time and also having fun, there’s a lot of really cool stuff that kind of is, you know, mind blowing now.

Pablo Marvel [01:01:45]:
But, these things are are the ultimate time savers, when it comes to actually implementing them. So for anyone who’s interested in saving time and streamlining things in their business, I think this is a a really great place to start. And and, you know, just in general, I mean, I love Jordan, I love your podcast because the range of topics you cover goes from, like, a very specific thing or a concept or a theme, you know, to these these broader topics. But I think, you know, for the laundry industry, the thing that makes me the most excited is that this is leveling the playing field. I mean, I would argue that laundry is not even close to the back of the line in terms of, you know, how a lot of the owners in the industry are running their business. In the last couple of years, at least since I’ve been around, you know, four or five years. The people that we speak to are not only just using products that we offer, but they’re asking the conversations we’re engaging in. People are talking about this independently and asking us all the time, like, hey, are you guys doing anything with this? Or, you know, can the product do this? Or, you know, what’s your thoughts on this? So, I think people are starting to catch on.

Pablo Marvel [01:02:59]:
It’s very exciting because it’s not it’s not reliant on just one company by any means to to be thinking about this stuff. And at the end of the day, you know, running a business is running a business, but I think everyone wants to get the most out of that experience and and see see that grow as much as possible. So a lot of, lot of fun stuff happening right now.

Jordan Berry [01:03:20]:
Yeah. A lot of fun stuff. And I would say like the other thing, I think a lot of people are catching on to it, but also it’s attracting people who already kinda understand it and want to implement it in these businesses. And there’s like, you know, your your Cody Sanchez is of the world. Who’s I mean, her model basically that she advocates is take a quote, unquote, boring business. I don’t know. I never was bored running a laundromat, but, you know, boring business and add systems and automations to it. And kind of the next evolution of that is, yeah, add systems and automation to it, but then, you know, start start utilizing AI to, you know, help you build that business, help you refine that business.

Jordan Berry [01:04:01]:
And that’s sort of the next iteration, of it. And it’s attracting people who that’s exactly what they wanna do, which is why if you haven’t started playing around with it yet, it’s time, time, time, time to start. I don’t want to say I told you so a year down the line because that’s all it’ll be. It’ll be like a year, you know?

Pablo Marvel [01:04:21]:
Yeah. Yeah. And, and I think, you know, like one of my favorite parts of the industry is going to the conferences, you know, wash high folds or excellence or clean show, and you get this massive concentration of operators in one place and the amount of ideas that are shared. You know, you have the highest tech and the lowest tech operator sharing a conversation over a beer and they will each learn something from the other. It’s not just being passed down through the top of the funnel. There are so many different ways to do this and, you know, so many different things people are doing. So, you know, here’s, let’s say here’s to the boring businesses because that’s always been my, that’s always been my sandbox. And, I think it will continue to be that way.

Jordan Berry [01:05:08]:
Yeah. That’s awesome. Well, dude, this has been awesome. I mean, listen, if you is there is there a way that, you know, if people are hearing this conversation and they’re like, I kinda wanna get a feel of, like, what is this sense assist like? Like, what does it sound like? How does it work? Like, what’s the best way for people to hear this for themselves?

Pablo Marvel [01:05:30]:
A %. So, you know, if you the easiest way is just go to the Sense website. That’s trysense.com, t r y c e n t s, Com, or just Google Sense. We have it in our solutions page all over the website. You can also schedule a demo anytime. You can email me personally, my email is just Pablo, p a b l o, at trisense dot com. But know, pretty much all roads lead back to Sense and, you know, the call center, I think, is an amazing way to just sort of try it out. You don’t have to use anything else in our business to use the call center.

Pablo Marvel [01:06:08]:
It’s an independent product, obviously more valuable if you combine it with other integrated products and services. But if you just want a call center, it’s available. So check it out online. You can schedule a demo or reach out to me and we can get on the phone even if you just want to shoot the hey about this and that and hear what’s going on. But, you know, we’re just excited for anyone who wants to learn more and see how we can help them grow their business.

Jordan Berry [01:06:35]:
Yeah. And I’ll just say, like, if you’ve never interacted with, one of these AI kinda agents, assistants, especially in in our industry specifically, I I just highly recommend you you do it and just give it a shot because I think you’re gonna I would I was blown away, and I kind of have been keeping up with stuff and, you know, I’ve messed around with, like, 11 labs, you know, voice recreation, like all that stuff. And but even still, like, it’s it’s pretty impressive. And so I, you know, Check it out. Trisense.com or Pablo actually just email Pablo directly.

Pablo Marvel [01:07:13]:
If just everybody emails, that’d be

Jordan Berry [01:07:15]:
great. PablotrySense dot com. That’d be good. And I’m going to have an AI bot just emailing you nonstop now.

Pablo Marvel [01:07:23]:
Exactly. Yeah. That’s and I’ll have my AI bot, answering those emails. So

Jordan Berry [01:07:30]:
Awesome. Hey, man. Thank you for coming on and just sharing, this cool direction that we’re heading in right now and some of the innovation happening in our industry. I love to hear that you guys are working on that, obviously, and other people are working on similar stuff and, you know, just pushing each other higher, which is only gonna help us push our businesses higher. And, I’m listen, I’m on a mission, and I think you guys are a similar mission to rehab the reputation of our industry, here. And I think we’re, you know, going a long ways towards doing that right now. And I want people to think good things when they think laundromats, not dingy, dirty, old, ancient, you know, your hair, unchanging industry. So, appreciate you guys forging the way, you know, and and fighting that battle with us and for us.

Pablo Marvel [01:08:20]:
Well, thank you, Jordan. And, finally got my debut on the the Hallowed podcast. So I, I’ve I’ve loved being here. Thank you very much for having me. And, you know, it’s exciting times, you mentioned, and I love the mission we we share in that. And, you know, one day at a time. Let’s keep going.

Jordan Berry [01:08:37]:
That’s right. That’s right. And, I’ll send you the bill for letting you come on.

Pablo Marvel [01:08:43]:
Exactly. We’ll be double it.

Jordan Berry [01:08:45]:
Yeah. My normal fee. But, no. I appreciate you coming on, dude, and, and talking, some nerd talk, with me just a little bit. And, like I said, scratching the surface, and I know you guys got more coming up. So I’m sure we’ll hear more about that stuff as we go on.

Pablo Marvel [01:09:02]:
I look forward to it. Thanks a lot.

Jordan Berry [01:09:04]:
Alright. I hope you loved that interview with Pablo. So much good stuff in there. We talk in all things AI. Like, listen, we’re scratching the surface of AI and how you can use it in your business. If you’re not utilizing it at all yet to help you run, manage your business, Don’t be tomorrow zombie, Matt. You got to get on, get on this and utilize the technology that we have today that’s available to us to help us serve our customers better, to grow our businesses, to free up more of our time, to make greater returns. That’s what these technologies allow us to do.

Jordan Berry [01:09:40]:
So don’t miss the bandwagon. Jump on it. And here it is, putting your feet to the fire. What are you gonna do today, this week, when it comes to AI, to just start playing with it? Maybe, you know, maybe you’re gonna you’re gonna look more into Sensesys there. That’s one obvious option from this. Maybe Maybe you’re gonna go play with Chad GBT and and start figuring out how it can help you with your business. You can ask Chad GBT, how can you help me with my laundromat business? It will give you ideas and then you can probe deeper into those ideas. All right.

Jordan Berry [01:10:13]:
So get after it today. Get in the air. Don’t be afraid of it. You could be afraid of it on a personal level. I don’t know. There’s some scary stuff, but when it comes to your business, don’t be afraid of it. Get in there and start seeing how you can utilize it to help you run a more efficient business, increase your revenues, decrease your time, commitment, whatever it might be. And let’s get after it.

Jordan Berry [01:10:35]:
Okay. All right. Listen to us. Look look at, man. We’re changing the industry here one action at a time. So put your put your action where your mouth is this week, and we’ll see you next week. Peace.