WEBVTT

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Welcome to Did You Know, the ESCO HVAC podcast,

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the show where we explore the cool, the hot,

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and the everything in between of the HVACR industry.

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Each week, we dig into the innovations, the insights,

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and the inspiring stories that power our trade,

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from the classroom to the job site and beyond.

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This episode is brought to you by this week's

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amazing sponsors. Daikin Comfort Technology,

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perfecting the air since 1924. ServiceLogic,

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people first. Always. Hudson Technologies. One

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pound reclaimed is one pound not made. iConnect

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Training. Supporting HVAC and refrigeration instructors.

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As well as the United Association of Journeymen

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and Apprentices of the Plumbing and Pipefitting

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Industry of the United States and Canada. Built

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on excellence since 1889. Whether you're just

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getting started or you've been turning wrenches

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for decades like myself, there's always something

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new for us to learn. I'm Clifton Beck, and this

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is Did You Know? The ESCO Age Fact Podcast. Let's

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dive in. All right, everyone. Thank you so much

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for joining us once again on Did You Know? The

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ESCO Age Fact Podcast. Today, I'm spending some

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time with Winston Chee. How are you, sir? I'm

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good. I'm good. Thank you for inviting me. You

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know, we had a really good conversation. We've

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been trying to figure out what's going to be

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the best way to approach this. And I think the

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way that we should address this conversation

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is... breaking the status quo. And, you know,

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there's a lot of things changing in our industry.

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And it's not just our industry. I think it's

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just society in general. You know, technology

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has been advancing so rapidly. It's changed the

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way people communicate. It's changed the way

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people learn. You know, it was interesting for

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me. I was going through a small town here in

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the Midwest about a month ago. I was coming back

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from our farm. I've got some property out in

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the middle of nowhere. And I was coming back

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through this little bitty town and just looking

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for something quick to eat. So I stopped at the

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local. They do have a Taco Bell. They've got

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a few restaurants in this little town. And so

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I stopped in Taco Bell. And as I was getting

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my order, I looked around and there were 20 year

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olds on their phone. There were 30 -year -olds

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on their phone. There were 40 -year -olds on

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their phone, all the way up into 80s. There was

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a couple, there was three, two older ladies and

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one older gentleman sitting at a table, all of

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them in their 80s, and all of them were on their

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phones using technology. And so norms that we

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had from even 10 years ago are starting to look

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a lot different today. Wouldn't you agree? Yeah,

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I think the world is accelerating in a... very

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different way nowadays i would say even compared

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to half a years ago now i barely use google i

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use chat gbt every day so i mean there are times

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when i open the browser and start typing something

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and then i just realize that okay i don't need

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to do here i just close the browser and then

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go to chat gbt i mean on my phone i just go to

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chat gbt directly without really typing search

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for things it's just much faster and easier um

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that almost feels like probably 20 years ago

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when you opened Yahoo, right? Try to do something

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and then you realize you can use Google. It just

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reminds me of that. And that was very much a

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transition that happened in a short period of

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time. It was a learning curve and then things

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were very different afterwards. And I do believe

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that that's where you're right. We are there

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again. Actually, I did an episode last week where

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I had Brigham Dickinson on the live show and

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we were talking about how AI is... is being more

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involved with the customer service side, right?

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Just the call centers in general. Like when we

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look at what's happening at a call center, there

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are companies that are going, hey, I think I'm

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going to use AI to take over my call center.

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And then we have others going, well, it wasn't

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a very good experience. Maybe we should have

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a blend of both. And then we even had educators

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that were on the live show. I asked the question,

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how are you using artificial intelligence right

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now? And I was surprised how many of our educators

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said, well, I don't really use it. And in the

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background, I'm going, you're probably using

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it and you don't even realize it. And it's become

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part of our culture and part of our norm. But

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it does change the way we look at training and

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we look at preparing technicians for the field.

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That has definitely been a shift. Yeah. Yeah.

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I have to say that because I live in San Francisco.

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And whatever is happening in other places of

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the world always happens in San Francisco first.

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Because when you drive through 101 or 280, you

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don't see that many billboards, but 101, you

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see all the AI replaced people, AI for whatever,

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AI for infra, they will be all billboards. All

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over? Really? Yeah, for AI. If you come here,

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you should just check it out. Drive down from

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the city to the South Bay, look at all the billboards.

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You will realize probably all the... hot companies

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are on the billboard no kidding yeah yeah so

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it's a very different place but um i would say

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like one thing i really hate is that people try

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to try to use ai to replace people i think it

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should be a tool to augment people i agree to

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replace people and plus i don't think the ai

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is truly ready for a lot of call center uh i

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hate it every time when i call like there were

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time I just try to book something, right? And

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they just keep routing me to AI and then keep

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asking me questions. And it's just, all I want

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is one simple thing. I know AI couldn't answer

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and I cannot get it. I have to call other companies.

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So that's something I've seen as big challenge

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nowadays for the AI, especially for call center.

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But I do agree. The cost on human beings to take

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the phone call is high and it's not a good job

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for people to actually rely their life. on taking

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phone calls to answer people's questions, some

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basic questions. So it's a dilemma for sure.

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So how do we approach it? You spend a lot of

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time on the software side, particularly in the

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AI sector. So walk me through some challenges

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and some solutions that you are providing and

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that you see in our industry. So we are working

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in HVAC and plumbing. So in order to really make

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sure we can empower people on the field, we need

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to look at what the demographic looks like nowadays.

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So people are calling it in the industry. First

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of all, it's a donut shape, meaning there is

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a big gap between the workforce in terms of their

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age, usually 150s and then a bunch of 20s and

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30s. I don't know. Where are the 40s? It's like

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a generational gap. It's probably for the last

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10 years, right? People are not paying attention

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to that at all. As a result, there are very minimal

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number of people going to that space. But nowadays

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with all the policy shifting, people are going

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back to the trades again. So you see a lot of

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20s. So that generation gap is real. Meaning

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if you don't take advantage of the people are

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still there for the next five years. there will

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be a huge disaster of how do we transfer knowledge

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to the younger generation. And that's one part

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of it, right? Another is you have to, in order

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to adapt to these demographic, we have to know

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what the younger people really think. I mean,

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we know the 50 -year -old are already working

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there for a long time, but the real challenge

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is how do we adapt the younger generation people

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to do the good work, to serve the homeowner good

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enough. I would say another thing is also because

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of younger generation people are using TikTok

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or like other short video. People are not patient

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at all. People's time spent attention is 15 seconds

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or less. So as a result, when I'm looking at

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those industries, a lot of the time people are

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rushing to do a lot of things, right? Like you

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don't see people taking this apprentice for three,

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four years. There are. but much less. People

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want to go to do the real comfort advisor job

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or do the real service job right away without

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much training. And as a result, in a company

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that with more technicians, the work quality

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is not consistent at all. And that creates a

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lot of issues. Another big thing is you're seeing

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so many PEs coming in this space, right? Private

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equities. Yeah. yeah they're acquiring so many

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companies and pe coming here for a reason first

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of all it means there are a lot of value in this

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space but also we have to know pe usually are

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driven by probability yes and also they have

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pretty good back office supporting them, right?

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They always call this operating company and management

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company structure. Management company going to

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provide all the resources to the operating company

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to do that and train them. So they're they look

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at the problem. OK, those are a bunch of 20 year

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old. We have program in place to train them.

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And that going to give them a lot of competitive

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advantage compared to a lot of smaller shops.

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So those are phenomenon we're looking at. And

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of course, because I know a lot of companies

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already pushing AI adoption, of course, even

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like the biggest player server titan is rolling

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out a lot of AI features. So this is the overview

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of what the industry right now is shifting as

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a status quo. Sure. You know, when we look at

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how do you train that technician, like how do

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you keep them up to date, not only with the existing

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technologies, but the new technologies that we're

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introducing very quickly, very regularly. You

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know, that gap that you'd mentioned, that circular

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labor supply. It's really interesting when you

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mention that because I see it very differently

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now because it's exactly right. Like we have

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this whole industry, but there's a big chunk

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of it that is gone. And a lot of the older generation,

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myself and older, are focusing on phasing out

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of the industry, right? Looking towards getting

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out of the field, maybe giving back my knowledge.

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Hopefully that's what's going to happen. But

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in the process, we have an abundance of new talent

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coming into the field that, yes, they're going

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to be learning some of this tribal, hopefully

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the tribal education, things that we learned

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on these pieces of equipment that really hadn't

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changed for decades. But what about everything

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else, right? And communication. And so it's not

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like we're handing it down from one generation

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to the next. typically been how the trade survived

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is an experienced person passed their knowledge

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down to the next generation and the next generation

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passed it on down you picked up new things along

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the way but when you skip a step you kind of

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skip a generation well you got to make up for

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that and technology is really what we're going

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to have to utilize to do that Yeah. And I would

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say, if you're looking at it, what matters the

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most, because I'm from the technology perspective,

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if you're looking at any of those companies,

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80 % of the payroll goes to the field, the technicians.

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And there will be 20 % of payroll go into the

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office. And I see a big shift right now. Most

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of the companies, I would say, nowadays are focusing

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on replacing the office staff, which I think

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is good, but it's not a... the real answer to

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the industry. And like what you're saying, we

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need to have a way to properly prepare the people

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on the field to adapt themselves to this world.

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And I think that's how AI can come into play

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to educate them differently. Because even like

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nowadays, we see a lot of discussion. People

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are thinking like, how do we change the K -12

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education because of AI? A lot of knowledge we

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teach are not. applicable anymore. It's probably

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knowledge 300 years ago. Why is it still taught?

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They can get it from Chachi BD in a second, probably

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not something we need to do. And I would say

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like, we see a lot of companies, I can see some

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good practices and some bad practices from big

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companies that are utilizing a lot of technologies.

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We see things could be accelerated much faster

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because they can capture the data. and process

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that and give it in a training to the different

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people. But I still have a lot of doubts on a

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lot of the trainings because my feedback from,

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I heard feedback from the big companies is, okay,

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people give training for every month. One week

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found out the close rate drastically improved,

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right? Two weeks later, slightly slowed down.

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Four weeks later, everybody forgot about it.

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Right. Well, that just means. it's not natural

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right otherwise you would try to bend the wood

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too much and you always go back to what it's

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originally supposed to be exactly so for that

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part i see that the training is important but

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but probably the current training is not the

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best way to utilize it and what i think should

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happen is train them by letting them doing it

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is actually more important because because we're

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in the industry of hands -on work right so you

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shouldn't be like okay train them every one month

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every two months you can do that but it's more

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of a reminder versus try to let them sit in the

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office or in the classroom give them the feedback

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on what they've done or i'll pick one or two

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people because as a trainer right you're gonna

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be your audience gonna be maybe 50 100 people

00:14:14.580 --> 00:14:18.490
or maybe less 20 even 20. For last month, they

00:14:18.490 --> 00:14:22.129
will be performing hundreds of jobs. As a trainer,

00:14:22.330 --> 00:14:25.549
you have only limited time spent to listen to

00:14:25.549 --> 00:14:28.870
certain calls. And maybe AI can tell you which

00:14:28.870 --> 00:14:30.889
one are good, which one are bad. But people,

00:14:31.009 --> 00:14:34.190
it's not really that personalized. Yeah, I get

00:14:34.190 --> 00:14:37.070
that completely. Yeah, so it's not going to provide

00:14:37.070 --> 00:14:39.889
the best feedback to that. So what we think is,

00:14:39.970 --> 00:14:44.250
okay, technology as a way to help people. what

00:14:44.250 --> 00:14:46.370
we should do is, okay, how do we make sure it's

00:14:46.370 --> 00:14:49.830
almost like companion that can help you to improve

00:14:49.830 --> 00:14:58.070
your work on the field? Okay. Noso Labs is working

00:14:58.070 --> 00:15:01.970
on a mentorship, really a digital mentorship.

00:15:05.250 --> 00:15:08.850
That's a pretty accurate way to describe it.

00:15:11.529 --> 00:15:14.210
We are more of just making things much easier

00:15:14.210 --> 00:15:16.429
to do so many different parts of the work. Yeah.

00:15:16.629 --> 00:15:19.190
But let's look at the fundamental issues, right?

00:15:19.250 --> 00:15:22.309
Like the most fundamental issue for a lot of

00:15:22.309 --> 00:15:25.549
fuel jobs is did you close the job? Right. You

00:15:25.549 --> 00:15:27.049
don't close the job, you lose the money. And

00:15:27.049 --> 00:15:29.750
for most of the companies, you've already spent

00:15:29.750 --> 00:15:34.529
all the resources sending a technician out. And

00:15:34.529 --> 00:15:37.450
technician is going to spend an hour, talk to,

00:15:37.509 --> 00:15:40.590
or 30 minutes, talk to the homeowner. And they

00:15:40.590 --> 00:15:43.330
leave. That's it. Right. And then by the end

00:15:43.330 --> 00:15:45.009
of the month, if you're looking at it, you're

00:15:45.009 --> 00:15:47.610
seeing probably 60 to 70 percent of jobs never

00:15:47.610 --> 00:15:50.929
closed. Yeah. Of course, this is a rough status.

00:15:51.809 --> 00:15:55.149
That's realistic. Yeah. But some companies can

00:15:55.149 --> 00:15:57.629
do really well. For example, we know some pretty

00:15:57.629 --> 00:16:01.049
big company doing 200 million in Vegas is doing

00:16:01.049 --> 00:16:03.570
around 70 percent close rate because the company

00:16:03.570 --> 00:16:05.990
is entirely focused on close rate. Of course,

00:16:06.049 --> 00:16:08.929
they're doing really well. you're seeing around

00:16:08.929 --> 00:16:11.710
40, 30 to 40 % close rate is pretty accurate.

00:16:11.990 --> 00:16:14.649
If you're looking at it, that's a big money losing

00:16:14.649 --> 00:16:18.129
part for any HVAC company, right? So how do we

00:16:18.129 --> 00:16:20.830
make sure that you can improve the close rate

00:16:20.830 --> 00:16:23.169
is actually pretty important. And if you're looking

00:16:23.169 --> 00:16:26.889
at what contribute to the close rate, it's really

00:16:26.889 --> 00:16:31.129
just three things. First is all the communication.

00:16:33.710 --> 00:16:35.789
That communication could be like, did you prepare

00:16:35.789 --> 00:16:38.230
everything in advance? How did you make sure

00:16:38.230 --> 00:16:41.090
you conveyed a message to the homeowner? Did

00:16:41.090 --> 00:16:44.190
you handle the back and forth Q &A properly before

00:16:44.190 --> 00:16:47.009
you do any work? Right? Second is a proposal.

00:16:47.929 --> 00:16:52.049
Did you have a proposal that truly represented

00:16:52.049 --> 00:16:55.690
value that you're trying to create for the homeowner

00:16:55.690 --> 00:16:58.330
based on what they're asking? Because they call

00:16:58.330 --> 00:17:00.269
you for a reason. They don't call you, just call

00:17:00.269 --> 00:17:03.269
you coming in to check it out. And then without,

00:17:03.350 --> 00:17:05.670
they're ready to pay, but you are not closing

00:17:05.670 --> 00:17:08.539
it. That's probably. you're not present something

00:17:08.539 --> 00:17:11.539
they're comfortable with. Sure. And finally is

00:17:11.539 --> 00:17:15.000
the process, meaning we're in the world got so

00:17:15.000 --> 00:17:19.000
distracted. Did you properly follow up with the

00:17:19.000 --> 00:17:23.140
homeowner for the proposal you presented? You

00:17:23.140 --> 00:17:25.380
remind the homeowner that they need something,

00:17:25.480 --> 00:17:31.240
right? So, but let's start from the back. The

00:17:31.240 --> 00:17:33.319
follow -up is actually a pretty challenging piece

00:17:33.319 --> 00:17:36.650
nowadays for a lot of technicians because It's

00:17:36.650 --> 00:17:39.690
nobody's job. Technician is going to need to

00:17:39.690 --> 00:17:42.210
do three to four jobs, maybe six jobs. Depends

00:17:42.210 --> 00:17:45.089
on how they divide and conquer their work, right?

00:17:45.130 --> 00:17:47.309
If they do six jobs a day or four jobs a day,

00:17:47.390 --> 00:17:51.009
how do you remember last Wednesday, there was

00:17:51.009 --> 00:17:55.329
a homeowner asked me to call back next Monday,

00:17:55.509 --> 00:17:59.109
4 p .m.? Right. Monday came around and I had

00:17:59.109 --> 00:18:04.690
five emergency calls waiting for me. This homeowner's...

00:18:05.000 --> 00:18:06.859
Not on the highest of my priority, unfortunately.

00:18:07.380 --> 00:18:10.660
Yeah, you can argue. Yeah, you can argue, okay,

00:18:10.779 --> 00:18:12.859
that everything's in ServerTitan. Everything's

00:18:12.859 --> 00:18:15.700
in Hotspot Pro. You can always go in. But look,

00:18:16.460 --> 00:18:19.079
there is a big difference between a software

00:18:19.079 --> 00:18:23.420
and AI nowadays. Yeah. Right? If you go to like

00:18:23.420 --> 00:18:25.359
chat DVD, it has all the polls. It can remind

00:18:25.359 --> 00:18:27.480
you everything. You can have all the calendar.

00:18:27.720 --> 00:18:29.519
It's supposed to be something on your calendar

00:18:29.519 --> 00:18:32.609
to tell you it's a push, not a pull. The way

00:18:32.609 --> 00:18:35.190
I'm thinking about the older generation of software

00:18:35.190 --> 00:18:38.029
is it's always a pull. We need to go in and then

00:18:38.029 --> 00:18:40.190
dig it out. It's a pull. It's very unnatural.

00:18:40.589 --> 00:18:43.450
Right. The difference between AI and non -AI

00:18:43.450 --> 00:18:46.670
is it can be a push. It can remind you what you

00:18:46.670 --> 00:18:48.549
need based on the right timing and everything.

00:18:48.930 --> 00:18:53.430
Just come in. Okay. Hey, Jack, like you've talked

00:18:53.430 --> 00:18:55.589
about it last week for this. Do you want me to

00:18:55.589 --> 00:18:58.650
do this for you? You can say no, but that's the

00:18:58.650 --> 00:19:02.380
biggest difference. It's more responsive. compared

00:19:02.380 --> 00:19:04.740
to more passive approach of the software because

00:19:04.740 --> 00:19:08.019
previous software is just a UI and we rely on

00:19:08.019 --> 00:19:11.940
our own ability to go in and check on it. Sure.

00:19:12.420 --> 00:19:15.819
It's like that whole mentorship aspect where

00:19:15.819 --> 00:19:21.359
you have an assistant that is helping you see

00:19:21.359 --> 00:19:24.140
things that maybe you forgot. Or maybe you didn't

00:19:24.140 --> 00:19:27.099
see. And that's really what I enjoyed about being

00:19:27.099 --> 00:19:31.119
in the field and having a mentor is that as I'm

00:19:31.119 --> 00:19:35.400
learning, I'm getting tips. I'm getting recommendations

00:19:35.400 --> 00:19:38.359
along the way that I might not have thought about.

00:19:38.460 --> 00:19:40.680
And AI is getting to that point where it can

00:19:40.680 --> 00:19:42.819
actually do that in this process. And I really

00:19:42.819 --> 00:19:44.480
think that's kind of where you're focusing in

00:19:44.480 --> 00:19:49.299
on is being that push for what we're doing on

00:19:49.299 --> 00:19:53.569
a daily basis. Exactly. And it's not just a ride

00:19:53.569 --> 00:19:55.029
-along, right? If you think about it, all the

00:19:55.029 --> 00:19:58.450
previous time, a lot of technicians relies on

00:19:58.450 --> 00:20:01.829
the ride -along person to help things out. But,

00:20:01.869 --> 00:20:06.029
I mean, to be honest, what AI is doing is more

00:20:06.029 --> 00:20:08.849
than that. It helps you with all the trivial

00:20:08.849 --> 00:20:11.990
parts of the work. The ride -along usually means

00:20:11.990 --> 00:20:16.309
it's a mentor. in the truck, try to do the high

00:20:16.309 --> 00:20:18.089
-level thing, you still do all the nitty -gritty

00:20:18.089 --> 00:20:21.569
details. But a true companion is a system that

00:20:21.569 --> 00:20:23.970
has a lot of superpower that know the industry

00:20:23.970 --> 00:20:26.430
pretty well, and that would do all the nitty

00:20:26.430 --> 00:20:29.309
-gritty parts of the work so that it helps you

00:20:29.309 --> 00:20:31.450
alleviate yourself to focus on more fundamental

00:20:31.450 --> 00:20:33.630
thinking, and you can do a lot of back and forth

00:20:33.630 --> 00:20:39.109
Q &A with it. Walk me through what an average

00:20:39.109 --> 00:20:47.420
day for one of your users is. So our long -term

00:20:47.420 --> 00:20:51.640
goal is to help them boost the close rate. So

00:20:51.640 --> 00:20:55.500
for the close rate, we're starting working from,

00:20:55.559 --> 00:20:59.220
in the very beginning, we start focusing a lot

00:20:59.220 --> 00:21:03.400
of time on diagnostics. And we actually gather

00:21:03.400 --> 00:21:06.259
a lot of the industry manuals. Most industry

00:21:06.259 --> 00:21:09.819
manuals is trained using our AI in the system.

00:21:10.730 --> 00:21:13.410
But later on, we figured out, okay, what are

00:21:13.410 --> 00:21:16.089
something just super easy for people to immediately

00:21:16.089 --> 00:21:19.849
get value out of it? So we spent some time building

00:21:19.849 --> 00:21:22.990
this follow -up feature that worked really well.

00:21:23.390 --> 00:21:28.549
It is as simple as an easy reminder on your mobile

00:21:28.549 --> 00:21:32.869
app to tell you, hey, Jack, this is the time

00:21:32.869 --> 00:21:35.349
follow -up you need to do today. And you just

00:21:35.349 --> 00:21:37.470
need to click a button. We compiled a text message

00:21:37.470 --> 00:21:40.140
for you already. Because writing a text message

00:21:40.140 --> 00:21:43.500
where you're on the field is still tough. If

00:21:43.500 --> 00:21:45.279
you need to think about it, yeah, what I did

00:21:45.279 --> 00:21:47.579
last Tuesday and then write a proper text message

00:21:47.579 --> 00:21:50.420
is just not easy. And doing a phone call works,

00:21:50.599 --> 00:21:54.480
but unfortunately, because a lot of spams nowadays,

00:21:54.799 --> 00:21:56.900
no one really take phone calls. That's very true.

00:21:57.359 --> 00:22:00.279
Yeah, so you kind of have to rely on the text

00:22:00.279 --> 00:22:05.809
message to go out. And I'll say the work. um

00:22:05.809 --> 00:22:08.470
we're saying for a lot of technicians they still

00:22:08.470 --> 00:22:11.269
do whatever the work they're doing nothing really

00:22:11.269 --> 00:22:13.349
changed except that they can spend maybe three

00:22:13.349 --> 00:22:15.690
minutes to make sure they do the follow -up for

00:22:15.690 --> 00:22:18.529
the whole week everything done swipe clean it

00:22:18.529 --> 00:22:20.789
up and it will pop out again for the next uh

00:22:20.789 --> 00:22:23.109
we would remind them to do around three follow

00:22:23.109 --> 00:22:25.750
-ups and that's it if it doesn't convert for

00:22:25.750 --> 00:22:29.589
a week probably it's never got converted because

00:22:29.589 --> 00:22:33.630
we run stats over 95 of the job got converted

00:22:33.630 --> 00:22:36.970
in seven days. By somebody. Yeah, by somebody.

00:22:37.470 --> 00:22:42.450
So if it is not converted by you, it's already

00:22:42.450 --> 00:22:44.609
gone. So don't waste your time on it. So that's

00:22:44.609 --> 00:22:46.630
how our system needs to look like. And then the

00:22:46.630 --> 00:22:49.170
technician can also coordinate writing notes

00:22:49.170 --> 00:22:52.769
on it to coordinate with their service manager

00:22:52.769 --> 00:22:54.549
in the office. Service manager can write more

00:22:54.549 --> 00:22:57.269
notes on it. That's how we see this is utilized

00:22:57.269 --> 00:23:01.269
right now. We're expanding more into other pieces.

00:23:01.710 --> 00:23:04.390
Right now, the proposal piece, I mentioned it

00:23:04.390 --> 00:23:06.349
because if you remember what I just mentioned,

00:23:06.430 --> 00:23:08.250
there are three pieces, the communication, the

00:23:08.250 --> 00:23:11.109
proposal, and the procedure. The follow -up fit

00:23:11.109 --> 00:23:13.950
into the procedure piece. The proposal piece

00:23:13.950 --> 00:23:17.910
is actually much, much harder because every businesses

00:23:17.910 --> 00:23:21.990
want to run proposals slightly differently. Sure.

00:23:22.470 --> 00:23:26.339
We are building that piece, but I wouldn't. share

00:23:26.339 --> 00:23:29.720
too much detail until it's really working well.

00:23:30.700 --> 00:23:35.359
It's very challenging, but it's very great problem

00:23:35.359 --> 00:23:37.539
to solve because at the end of the day, the proposal

00:23:37.539 --> 00:23:42.240
matters more than anything else. I agree. If

00:23:42.240 --> 00:23:44.839
someone wants to learn more about your product

00:23:44.839 --> 00:23:49.559
and get in contact, what's the best way to reach

00:23:49.559 --> 00:23:54.980
out to NoSoLabs? Usually, it just go to our website.

00:23:56.119 --> 00:24:01.119
noso .so, N -O -S -O dot S -O. And then you can

00:24:01.119 --> 00:24:03.319
book a demo with us and then we can chat about

00:24:03.319 --> 00:24:06.640
it. That's probably the easiest way. We also

00:24:06.640 --> 00:24:08.579
have LinkedIn page, have a lot of followers.

00:24:08.859 --> 00:24:11.880
If you go there, reach out to us, that also works.

00:24:12.690 --> 00:24:14.710
Fantastic, Winston. I sure appreciate you joining

00:24:14.710 --> 00:24:18.069
us today and I encourage everyone to rethink

00:24:18.069 --> 00:24:22.150
your learning process and look at tools when

00:24:22.150 --> 00:24:25.250
we start moving into these new software. Just

00:24:25.250 --> 00:24:27.630
remember, it's a tool to help us become more

00:24:27.630 --> 00:24:29.309
efficient. We appreciate you joining us today.

00:24:29.670 --> 00:24:30.369
Thank you.
