WEBVTT - Triumph Sees Structural Freight Tightening

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<v Speaker 1>Hi everyone, This is Lee Clasgow and we're Talking Transports.

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<v Speaker 1>Welcome to Bloomberg Intelligence Talking Transports podcast. I'm your host,

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<v Speaker 1>Lee Clascow, Senior Freight transportation logistics Analysts at Bloomberg Intelligence,

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<v Speaker 1>Bloomberg's in house research arm of almost five hundred analysts

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<v Speaker 1>and strategists around the world. A quick public service announcement

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<v Speaker 1>before we dive in. Your support is instrumental to keep

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<v Speaker 1>you've got ideas, feedback, or just want to talk transports,

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<v Speaker 1>I'm always happy to connect. You can find me on

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<v Speaker 1>the Bloomberg terminal, on LinkedIn, or on x at Logistics. Lee.

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<v Speaker 1>Today we're doing something a little different. You get too

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<v Speaker 1>Bloomberg Intelligence Analysts for the price of one. With me

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<v Speaker 1>today is Eric Biddell, Bloomberg Intelligence US MidCap bank Analysts.

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<v Speaker 1>I invited him to join us because of our guest today.

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<v Speaker 1>He straddles the freight in financial markets. With us today

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<v Speaker 1>is Aaron Graft, the founder, vice chairman and chief executive

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<v Speaker 1>officer of Triumph Financial, the company trades under the ticker

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<v Speaker 1>tfi N and as a market cap of roughly one

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<v Speaker 1>point five billion dollars. Welcome to Talking Transports.

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<v Speaker 2>Aaron, good morning, and thank you for having me.

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<v Speaker 1>And Erica welcome to the podcast as well. Thanks for

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<v Speaker 1>joining us, Thanks for having me.

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<v Speaker 2>I feel good about being able to connect a banking

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<v Speaker 2>analyst and a transportation analyst like this is my dreams

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<v Speaker 2>are coming true.

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<v Speaker 1>Well, you know, Triumph, maybe everybody doesn't know what you

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<v Speaker 1>guys do. Can you just give us a quick synopsis

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<v Speaker 1>of the company.

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<v Speaker 2>Sure, so, while on bank and that that part is

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<v Speaker 2>a given. What makes us different is so much of

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<v Speaker 2>our business is about about handling facilitating the payment of

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<v Speaker 2>invoices in the trucking industry. So specifically, what do we

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<v Speaker 2>do in transportation and specifically over the road trucking. I mean,

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<v Speaker 2>you're talking about a massive industry we touch, you know,

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<v Speaker 2>about what seventy billion in freight annually. We either audit

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<v Speaker 2>the invoices, we pay the invoices, we buy the invoices,

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<v Speaker 2>or we aggregate the invoices to provide the market some

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<v Speaker 2>intelligence about where the market is going. And that aggregation

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<v Speaker 2>of data, in my opinion, and to my knowledge is

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<v Speaker 2>probably the largest single point aggregation of data, especially for

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<v Speaker 2>broker freight, but possibly of all the trucking industry.

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<v Speaker 1>And could you just give us a little history, you know,

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<v Speaker 1>because you're you're not like a bank that was established

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<v Speaker 1>in the seventeen hundreds, so you're relatively new. Can you

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<v Speaker 1>talk about, you know, the fact that you are a founder,

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<v Speaker 1>you know when you founded it and why?

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<v Speaker 2>Yeah? So I grew up in a rural part of Oklahoma,

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<v Speaker 2>went to college law school, went to work at a

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<v Speaker 2>big law firm. And one of the things you learn

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<v Speaker 2>working at a big law firm, which was great people,

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<v Speaker 2>smart people, great work, but you learn there that if

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<v Speaker 2>you want to have a long career in law, you

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<v Speaker 2>should be detail oriented and risk averse. And I was neither.

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<v Speaker 2>So at twenty eight, I left with a laptop and

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<v Speaker 2>started Triumph. Had no aspirations of being in banking, had

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<v Speaker 2>no aspirations or understanding of serving the freight markets. What

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<v Speaker 2>I started off doing was buying distressed commercial real estate

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<v Speaker 2>debt because that's what I'd done as a lawyer. And

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<v Speaker 2>then you know, I September of eight happened. Lehman failed,

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<v Speaker 2>the world went, the world lost confidence and I was

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<v Speaker 2>twenty nine years old, and I figured the best thing

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<v Speaker 2>to do in the face of the greatest uncertainty that

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<v Speaker 2>we'd seen, maybe since the nineteen thirties was just double down, right,

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<v Speaker 2>because you're young. If you're wrong, you know, hopefully you

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<v Speaker 2>got a chance to dig yourself out of it. So

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<v Speaker 2>I went to my mentors and said, nobody wants to

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<v Speaker 2>touch banks. Let's buy a bank. Let's find a bank

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<v Speaker 2>that's in trouble with failing, a small, hopefully Dallas based

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<v Speaker 2>bank is where I lived. And so that's what we did.

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<v Speaker 2>We bought a very troubled small bank. It was very

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<v Speaker 2>difficult to get regulatory approval, very difficult to raise the

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<v Speaker 2>capitol because I was asking investors to back me in

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<v Speaker 2>an endeavor and I'd never really worked in a bank.

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<v Speaker 2>But we did get it done in twenty ten November

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<v Speaker 2>of twenty ten. We spent a year cleaning the bank up.

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<v Speaker 2>And during that period we came across this little business

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<v Speaker 2>that factored trucking invoices. And you know factoring, if you

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<v Speaker 2>dig into it, it's the oldest form of commercial finance.

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<v Speaker 2>It's where you it's actually not lending, You buy the

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<v Speaker 2>invoice from your customer, and then you collect from the

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<v Speaker 2>party who your customer did the work for. And it's

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<v Speaker 2>been around forever, and so this little business did this

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<v Speaker 2>for the trucking industry, and it seemed to me that

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<v Speaker 2>this was a great business to put inside a bank

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<v Speaker 2>because the invoices turned quickly, the yields were very high,

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<v Speaker 2>and so we bought it Friday, January the thirteenth of

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<v Speaker 2>twenty twelve, and it was about forty million of invoices

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<v Speaker 2>we were buying at the time. They turn every thirty days,

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<v Speaker 2>and from that has come everything we've built since. So

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<v Speaker 2>I know that I had no idea at the time

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<v Speaker 2>what I was getting into, both the hard and the

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<v Speaker 2>good and the opportunity of it. It was only much later,

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<v Speaker 2>as we begin to live inside the trucking ecosystem that

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<v Speaker 2>we saw the opportunity to grow and expand. So there

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<v Speaker 2>was a lot of providence and luck in us being here,

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<v Speaker 2>maybe more than I should give myself credit for coming

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<v Speaker 2>into this with a fully developed plan, because that is

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<v Speaker 2>not what happened.

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<v Speaker 1>Well, it sounds like a great story, and so far,

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<v Speaker 1>so good, I would say, given you know what I've

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<v Speaker 1>seen about your earnings and the trajectory for your earnings.

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<v Speaker 1>Could you know your your company? Lake you mentioned you're

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<v Speaker 1>really involved in the trucking industry and you probably get

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<v Speaker 1>to see a lot of interesting data. What is the

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<v Speaker 1>information that you're seeing telling you about the freight markets

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<v Speaker 1>right now?

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<v Speaker 2>Freight markets right now are tightening in a way that

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<v Speaker 2>we have not seen since twenty twenty one and or

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<v Speaker 2>twenty twenty when when basically the government injected a tremendous

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<v Speaker 2>amount of stimulus into an economy where people were home

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<v Speaker 2>bound and needing to buy things. Beyond that, since the

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<v Speaker 2>deregulation of trucking in nineteen eighty, I don't know if

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<v Speaker 2>you've seen as many forces converging at one time. This

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<v Speaker 2>is an incredibly unique situation, very different than twenty twenty

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<v Speaker 2>and twenty twenty one, because this is not a demand

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<v Speaker 2>driven spike. It is a supply driven spike, and a

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<v Speaker 2>whole bunch of things are happening at one time to

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<v Speaker 2>take capacity off of the roads, and that means that

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<v Speaker 2>can mean multiple things, take it off the roads entirely

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<v Speaker 2>for illegal carriers, et cetera, but also restrict carriers who

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<v Speaker 2>can operate to operating within the parameters that they're supposed

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<v Speaker 2>to observe. And as a result, freight rates are have spiked.

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<v Speaker 2>I believe they are going higher. This will be inflationary.

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<v Speaker 2>It is healthy for certain segments of the transportation market.

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<v Speaker 2>It is painful for other segments. So it is a

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<v Speaker 2>time of profound change for sure in transportation.

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<v Speaker 1>And are you seeing I guess because of this and

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<v Speaker 1>the information you see, are our truckers are their balance

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<v Speaker 1>sheets in a better position today than they a year ago?

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<v Speaker 2>Well, that's a great question. I mean, first of all,

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<v Speaker 2>when you use the term truck or you're describing all

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<v Speaker 2>of trucking. And what I would say is, in a

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<v Speaker 2>given year, in our payments business, we're gonna pay about

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<v Speaker 2>one hundred and thirty thousand carriers, okay, And a carrier

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<v Speaker 2>might have one truck, they might have ten thousand trucks.

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<v Speaker 2>Not all truckers are created equally. And you know, people

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<v Speaker 2>quote the FMCSA data and how many trucking authorities are

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<v Speaker 2>out there, and they quote these huge numbers, And I

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<v Speaker 2>don't disagree that that's what the numbers are, but that's

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<v Speaker 2>maybe somewhat like attendance or membership figures in a church.

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<v Speaker 2>How many people actually show up on a Sunday like

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<v Speaker 2>how many people are active in the market, And I

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<v Speaker 2>promise you it is a much smaller number than what

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<v Speaker 2>those numbers are being reported. We're going to run in

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<v Speaker 2>a twelve month period, I would argue to you in

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<v Speaker 2>the four higher market, there's less than two hundred thousand

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<v Speaker 2>carriers that are active and moving freight. Now, when you

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<v Speaker 2>ask about balance sheets, let's just first of all acknowledge

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<v Speaker 2>that a single truck owner operator or someone with less

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<v Speaker 2>than four trucks, which makes up ninety five percent of

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<v Speaker 2>those two hundred thousand more or less truckers. I mean

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<v Speaker 2>that balance sheet is really really a personal balance sheet.

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<v Speaker 2>There's no company balance sheet, and so I don't know

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<v Speaker 2>that those balance sheets. That's a hard thing to answer.

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<v Speaker 2>The durability of small truckers to stay in the game

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<v Speaker 2>despite really hard markets has impressed me for going on

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<v Speaker 2>fifteen years. What generally happens is they pivot to do

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<v Speaker 2>other things, They figure out how to park their truck

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<v Speaker 2>when they can't make money driving their truck, and they

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<v Speaker 2>stay alive. And that's not staying alive because of a

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<v Speaker 2>balance sheet. They're staying alive because of their entrepreneurialism as

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<v Speaker 2>it relates to the large asset carriers, the ones you

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<v Speaker 2>and I can see that are publicly traded. I don't

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<v Speaker 2>know that we've been in this long enough to speak

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<v Speaker 2>to how much their balance sheets have changed, but certainly

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<v Speaker 2>the earnings estimates for the asset based carriers have to

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<v Speaker 2>go up in a market like this, and so you

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<v Speaker 2>would expect that their balance sheets, their earnings, their multiples

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<v Speaker 2>are all going to go up given what's happening in

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<v Speaker 2>this marketplace.

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<v Speaker 1>All right, great, I'm going to bring in Eric because

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<v Speaker 1>I think he has some interesting questions that he wants

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<v Speaker 1>to ask you about the company.

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<v Speaker 3>Yeah, thanks, Lee and Eron. You know, I was really

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<v Speaker 3>fascinated with Triumph from day one. When I learned about you,

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<v Speaker 3>I was wondering if you could just talk to us

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<v Speaker 3>a bit about why you started the payments network specifically,

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<v Speaker 3>and you know what value that brings to your clients

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<v Speaker 3>and also just all the participants in the network.

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<v Speaker 2>Yeah, so let me answer that by and I think

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<v Speaker 2>this is relevant to you both. Think about how freight

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<v Speaker 2>and specifically the payments in freight moves. You start off

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<v Speaker 2>with a shipper, that's the person who makes the thing, right,

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<v Speaker 2>whether they're distributor manufacture, whatever they are, and the shipper

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<v Speaker 2>is going to tender freight either to a carrier or

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<v Speaker 2>a broker or some carriers who have a brokerage within them,

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<v Speaker 2>and that's going to be just for farmers math Let's

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<v Speaker 2>just call it that a two thousand dollars load, and

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<v Speaker 2>in turn, that broker or either the carrier then hauls

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<v Speaker 2>the load and gets paid, or in the case of

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<v Speaker 2>the growing part of broker freight, that broker then turns

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<v Speaker 2>around and needs to purchase capacity, purchase a truck to

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<v Speaker 2>move that freight. And on a if it's if they're

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<v Speaker 2>getting paid two thousand dollars to move the load, then

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<v Speaker 2>ideally they're going to be able to buy a truck

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<v Speaker 2>to haul that load at seventeen hundred dollars, in which

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<v Speaker 2>case they would make a fifteen percent margin, right, and

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<v Speaker 2>that's what they live off of. That broker has to

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<v Speaker 2>be supported off of that. What's happened in the last

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<v Speaker 2>twenty plus years is when the broker hired the trucker

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<v Speaker 2>brokers weren't actually paying truckers brokers. It turns out seventy

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<v Speaker 2>five percent of the time ish this is an approximation

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<v Speaker 2>well paying factoring companies because these companies had come in

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<v Speaker 2>and become the financing partners for the small trucking industry.

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<v Speaker 2>So now you've got shipper tendering money. It's tendering freight

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<v Speaker 2>to a broker broker then hiring a trucker to haul it,

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<v Speaker 2>and then when the broker needs to make the payment,

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<v Speaker 2>they're not paying the trucker. They're not paying their vendor.

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<v Speaker 2>They're paying a factoring company who charged let's just say

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<v Speaker 2>a two percent discount. So if that was a seventeen

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<v Speaker 2>hundred dollars invoice, then the factoring company made thirty four

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<v Speaker 2>dollars to provide instant liquidity to the trucker. And so

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<v Speaker 2>what started out as a two thousand dollars transaction between

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<v Speaker 2>a shipper and a broker ends up by the time

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<v Speaker 2>it makes it into the carrier's pocket book, is sixteen

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<v Speaker 2>hundred and fifty six dollars, right, because the broker had

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<v Speaker 2>to make their margin, factor had to make their margin.

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<v Speaker 2>So Triumph got wool and Gillet at being the factoring

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<v Speaker 2>company two small truckers. We're the second largest in North

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<v Speaker 2>America and probably the world. We buy a billion dollars

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<v Speaker 2>of invoices a month. So what you find when you

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<v Speaker 2>do that is it's a very high margin, high turn business.

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<v Speaker 2>If you cover banks, you understand we're making well collecting

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<v Speaker 2>out every thirty three days, so the yield is dependent

0:13:21.960 --> 0:13:26.080
<v Speaker 2>upon how quickly we're collecting. Your biggest expense, or one

0:13:26.120 --> 0:13:30.920
<v Speaker 2>of your biggest expenses, is the cost of sales. You

0:13:30.960 --> 0:13:34.880
<v Speaker 2>can onboard a new carrier, and the average duration that

0:13:34.880 --> 0:13:37.360
<v Speaker 2>that carrier will stay with you is twenty two months,

0:13:37.720 --> 0:13:40.040
<v Speaker 2>and that's actually the averagest sort of lie. What it

0:13:40.040 --> 0:13:41.920
<v Speaker 2>really is is a barbelle. You end up with some

0:13:42.080 --> 0:13:45.200
<v Speaker 2>carriers who only stay with you three months because they

0:13:45.200 --> 0:13:47.240
<v Speaker 2>find out they don't want to run under their own authority,

0:13:47.760 --> 0:13:49.760
<v Speaker 2>or you know, any number of reasons, and they go

0:13:49.800 --> 0:13:51.720
<v Speaker 2>work for someone else. And then some stay with you

0:13:51.760 --> 0:13:55.160
<v Speaker 2>for years. So when I stepped back and looked at it,

0:13:55.200 --> 0:13:57.000
<v Speaker 2>and it wasn't just me, but as a team we

0:13:57.000 --> 0:13:59.439
<v Speaker 2>stepped back and looked at things. We said, look, we

0:13:59.520 --> 0:14:03.120
<v Speaker 2>got all the carriers, like today, Triumphs serve seven two

0:14:03.240 --> 0:14:06.600
<v Speaker 2>hundred carriers in our factoring business, and those seven two

0:14:06.679 --> 0:14:10.800
<v Speaker 2>hundred carriers own about sixty thousand trucks. But there's churn

0:14:10.960 --> 0:14:13.600
<v Speaker 2>all the time. You know, we said, you know where

0:14:13.600 --> 0:14:16.920
<v Speaker 2>that actually we should go. Let's go to the freight

0:14:17.040 --> 0:14:21.320
<v Speaker 2>brokers and offer to make all of their payments to

0:14:21.440 --> 0:14:25.200
<v Speaker 2>their carriers, and let's do it at the time, let's

0:14:25.200 --> 0:14:28.440
<v Speaker 2>do it for free. And people were like, that's that's

0:14:28.440 --> 0:14:31.360
<v Speaker 2>a crazy idea. Why would we do that? And I said, well,

0:14:31.360 --> 0:14:35.120
<v Speaker 2>the reason is we know that seventy five percent of

0:14:35.160 --> 0:14:40.480
<v Speaker 2>those payments are new liquidity injected into them. In other words,

0:14:41.080 --> 0:14:43.160
<v Speaker 2>the trucker was never going to be able to wait

0:14:43.240 --> 0:14:44.960
<v Speaker 2>thirty days to get paid or if you haul for

0:14:45.040 --> 0:14:47.880
<v Speaker 2>anheuser bush forty five days to get paid. And so

0:14:48.000 --> 0:14:52.880
<v Speaker 2>we will create an embedded supply chain financing opportunity, call

0:14:52.920 --> 0:14:55.880
<v Speaker 2>it reverse factory. I mean, it's the same transaction. It's

0:14:55.880 --> 0:14:57.920
<v Speaker 2>just whether you're on the payor or the pay east

0:14:57.960 --> 0:15:01.840
<v Speaker 2>side and let's go bill this. And so that's what

0:15:01.880 --> 0:15:06.640
<v Speaker 2>we started to do. And that when and you learn

0:15:06.680 --> 0:15:08.280
<v Speaker 2>a lot of things. Right when you walk up to

0:15:08.320 --> 0:15:11.240
<v Speaker 2>a fortune one thousand company and you say, outsource all

0:15:11.280 --> 0:15:15.200
<v Speaker 2>of your payments to me, that's a big thing. And

0:15:15.240 --> 0:15:19.400
<v Speaker 2>what makes it unique is supply chain finance. The big

0:15:19.440 --> 0:15:21.720
<v Speaker 2>banks have been in this for years, right, They work

0:15:21.800 --> 0:15:25.400
<v Speaker 2>with big companies manufacturing companies, and they do supply chain

0:15:25.400 --> 0:15:29.800
<v Speaker 2>finance programs for their vendors. What's different here. A five

0:15:29.880 --> 0:15:36.000
<v Speaker 2>hundred million dollar manufacturing company might have fifty primary suppliers

0:15:36.080 --> 0:15:40.120
<v Speaker 2>or vendors that you need to onboard into its supply

0:15:40.200 --> 0:15:44.760
<v Speaker 2>chain finance program. A five hundred million dollar broker probably

0:15:44.800 --> 0:15:48.040
<v Speaker 2>worked with fifty thousand trucking companies in the last twelve months,

0:15:48.440 --> 0:15:51.440
<v Speaker 2>and supply chain finance never had the technology or the

0:15:51.480 --> 0:15:55.960
<v Speaker 2>infrastructure built in it traditional supply chain finance to handle

0:15:56.040 --> 0:16:00.000
<v Speaker 2>fifty thousand vendors getting paid seventeen or eighteen hundred dollar.

0:16:00.640 --> 0:16:05.800
<v Speaker 2>So we built a technology, product, ecosystem, and value chain

0:16:06.520 --> 0:16:09.760
<v Speaker 2>that created a network that allowed the brokers and the

0:16:09.840 --> 0:16:12.800
<v Speaker 2>carriers and the factors to all see each other and

0:16:12.960 --> 0:16:18.520
<v Speaker 2>transmit information in a structured format and remove the friction

0:16:18.640 --> 0:16:20.800
<v Speaker 2>from that process. That's why we did it.

0:16:21.280 --> 0:16:23.760
<v Speaker 1>Yeah, you know, eron just a quick question. I mean,

0:16:23.800 --> 0:16:25.720
<v Speaker 1>you know, you mentioned you know, you guys started as

0:16:25.760 --> 0:16:28.120
<v Speaker 1>a bank, but would you consider yourself a bank, a

0:16:28.120 --> 0:16:30.400
<v Speaker 1>fintech or something else right now?

0:16:31.120 --> 0:16:33.360
<v Speaker 2>I mean I think what you are is what you do.

0:16:34.160 --> 0:16:38.000
<v Speaker 2>So we're a financial technology company. We build financial technology

0:16:38.600 --> 0:16:41.200
<v Speaker 2>that has created a network and a platform for the

0:16:41.200 --> 0:16:44.560
<v Speaker 2>freight industry. We just happened to do that as a

0:16:44.560 --> 0:16:48.240
<v Speaker 2>publicly traded bank, and I think this is a benefit

0:16:48.240 --> 0:16:50.200
<v Speaker 2>that I never grew up in banking, so I didn't

0:16:50.200 --> 0:16:52.360
<v Speaker 2>begin with a premise in mind of what a bank

0:16:52.400 --> 0:16:54.760
<v Speaker 2>should look like. I don't think banks have to be

0:16:54.880 --> 0:16:56.760
<v Speaker 2>box a box. I think a bank can be a

0:16:56.800 --> 0:17:01.440
<v Speaker 2>bag and can be conformed to your ideas. So we

0:17:01.480 --> 0:17:04.040
<v Speaker 2>are a bank, but what we build is financial technology

0:17:04.560 --> 0:17:07.840
<v Speaker 2>for a very specific industry that happens to be a

0:17:07.920 --> 0:17:08.920
<v Speaker 2>very large industry.

0:17:09.440 --> 0:17:12.160
<v Speaker 3>So maybe if you could expand that a bit, what's

0:17:12.200 --> 0:17:16.520
<v Speaker 3>the advantage of having a bank versus just being a fintech?

0:17:16.720 --> 0:17:22.040
<v Speaker 2>Okay, So take a given invoice, and remember we started

0:17:22.080 --> 0:17:24.280
<v Speaker 2>off with the two thousand dollars invoice that went from

0:17:24.280 --> 0:17:26.919
<v Speaker 2>the ship, where became a seventeen hundred dollars invoice at

0:17:26.920 --> 0:17:30.239
<v Speaker 2>the broker level, became thirty four dollars of revenue at

0:17:30.240 --> 0:17:33.080
<v Speaker 2>the factoring company, which put sixteen hundred and fifty six

0:17:33.160 --> 0:17:37.520
<v Speaker 2>dollars into the trucker's bank account. Chase that one step further,

0:17:38.640 --> 0:17:41.240
<v Speaker 2>what does the trucker do with the money? Well, the

0:17:41.359 --> 0:17:43.840
<v Speaker 2>number one expense that comes out of that sixteen hundred

0:17:43.840 --> 0:17:46.440
<v Speaker 2>and fifty six dollars they're left with is to pay

0:17:46.520 --> 0:17:49.880
<v Speaker 2>their labor. All right, So let's just roughly say that's

0:17:49.920 --> 0:17:54.119
<v Speaker 2>six hundred dollars. What's their second biggest expense? Fuel? They

0:17:54.160 --> 0:17:56.320
<v Speaker 2>got to go buy fuel, you know, whether it's depending

0:17:56.359 --> 0:17:59.199
<v Speaker 2>upon the market. Of course, today's a very destorted market.

0:17:59.600 --> 0:18:01.760
<v Speaker 2>Up to time, percent of their cost is going to

0:18:01.760 --> 0:18:04.800
<v Speaker 2>be fuel. What happens after that, I've got insurance, and

0:18:04.800 --> 0:18:06.920
<v Speaker 2>then I've got all the things that the trucker either

0:18:07.040 --> 0:18:09.959
<v Speaker 2>needs to buy as an independent owner operator or as

0:18:09.960 --> 0:18:15.320
<v Speaker 2>a company driver. And how does that money get spent? Well,

0:18:15.359 --> 0:18:18.119
<v Speaker 2>if you chase it all the way down, it generally

0:18:18.160 --> 0:18:21.000
<v Speaker 2>gets spent on a card. And if money is spent

0:18:21.040 --> 0:18:23.520
<v Speaker 2>on a card inside a truck stop, either out at

0:18:23.560 --> 0:18:27.159
<v Speaker 2>the high volume diesel pump or inside the store for

0:18:27.640 --> 0:18:33.840
<v Speaker 2>coats and snacks and food, there are interchange fees right visa, MasterCard,

0:18:33.840 --> 0:18:38.560
<v Speaker 2>et cetera. So Triumph now is involved in the ecosystem

0:18:38.720 --> 0:18:42.600
<v Speaker 2>all the way from the shipper to the merchant, and

0:18:42.640 --> 0:18:44.800
<v Speaker 2>which is why we built load pay. So we are

0:18:44.840 --> 0:18:48.080
<v Speaker 2>both the issuing bank and the program sponsor for the

0:18:48.119 --> 0:18:51.720
<v Speaker 2>card that the trucker uses. At the point of sale.

0:18:51.840 --> 0:18:54.200
<v Speaker 2>You cannot do that unless you're a bank. If you're

0:18:54.240 --> 0:18:55.879
<v Speaker 2>not a bank, you're a fintech. You got to go

0:18:55.880 --> 0:18:58.199
<v Speaker 2>to someone as your banking as a service provider and

0:18:58.280 --> 0:19:01.320
<v Speaker 2>you give away margin to them. As it is, Triumph

0:19:01.400 --> 0:19:03.600
<v Speaker 2>keeps one point six to one point seven percent of

0:19:03.640 --> 0:19:07.120
<v Speaker 2>the interchange fees which we use to help our truckers right,

0:19:07.160 --> 0:19:11.240
<v Speaker 2>and we fund our business. Go one step back from that,

0:19:11.960 --> 0:19:16.560
<v Speaker 2>the second revenue opportunity in factoring. The revenue opportunity is

0:19:16.600 --> 0:19:21.400
<v Speaker 2>you exchange your balance sheet for a fee to give

0:19:21.480 --> 0:19:25.480
<v Speaker 2>liquidity to the trucker. That's how factoring works in any industry,

0:19:25.520 --> 0:19:28.679
<v Speaker 2>whether you're a bank or a commercial finance company, you

0:19:28.880 --> 0:19:31.040
<v Speaker 2>have to have the ability. You have to have the

0:19:31.119 --> 0:19:33.959
<v Speaker 2>funds in in order to be able to sell the funds.

0:19:34.280 --> 0:19:37.120
<v Speaker 2>As I said, we buy a billion dollars of invoices.

0:19:38.440 --> 0:19:42.639
<v Speaker 2>Actually today it's probably more like one point two billion

0:19:42.680 --> 0:19:45.480
<v Speaker 2>dollars one point three billion dollars a month. Well, that

0:19:45.680 --> 0:19:48.720
<v Speaker 2>money has to come from somewhere. If you're a commercial

0:19:48.720 --> 0:19:54.000
<v Speaker 2>finance company, you're going to borrow that money from a litterer.

0:19:54.359 --> 0:19:57.439
<v Speaker 2>If you're a bank, you're going to use your deposits

0:19:57.640 --> 0:19:59.679
<v Speaker 2>and so if our cost of funds and a bank's

0:19:59.680 --> 0:20:01.840
<v Speaker 2>one point point seven percent, I think is about where

0:20:01.840 --> 0:20:03.679
<v Speaker 2>ours is right now, which because we have a very

0:20:03.680 --> 0:20:07.640
<v Speaker 2>good deposit franchise and your yield on your factoring book

0:20:07.720 --> 0:20:10.640
<v Speaker 2>is fourteen percent. I mean you've covered banks long enough

0:20:10.640 --> 0:20:13.600
<v Speaker 2>to know that net interest margins spread there is extremely high,

0:20:13.920 --> 0:20:17.520
<v Speaker 2>which is why our factoring segment generates pre tax ROAs

0:20:17.920 --> 0:20:21.520
<v Speaker 2>return on average assets that are above four percent. You're

0:20:21.560 --> 0:20:26.280
<v Speaker 2>doing it seventeen hundred dollars at a time, millions that

0:20:26.320 --> 0:20:29.480
<v Speaker 2>will buy thirty three thirty four thousand invoices a day

0:20:30.200 --> 0:20:35.199
<v Speaker 2>that you have to ingest, audit, reconcile, pay well. This

0:20:35.280 --> 0:20:38.439
<v Speaker 2>goes back to the network and how we reduce friction

0:20:39.119 --> 0:20:43.040
<v Speaker 2>from that experience. So all of the things we do,

0:20:43.560 --> 0:20:46.800
<v Speaker 2>I suppose could be done by a non bank fintech

0:20:46.880 --> 0:20:50.320
<v Speaker 2>financial company. But I want to tell you when we

0:20:50.440 --> 0:20:55.120
<v Speaker 2>went to the largest users of our payments network. Think

0:20:55.160 --> 0:21:02.320
<v Speaker 2>about H Robinson, RXO, JB Hunt traded companies. When you

0:21:02.440 --> 0:21:06.520
<v Speaker 2>start to talk to them about making their payments, it

0:21:06.600 --> 0:21:11.399
<v Speaker 2>is that's a significant financial counter party assignment for a

0:21:11.440 --> 0:21:14.720
<v Speaker 2>free broker. It helps when you're a publicly traded bank.

0:21:15.800 --> 0:21:17.520
<v Speaker 2>I'm not saying it couldn't be done, but it just

0:21:17.640 --> 0:21:20.439
<v Speaker 2>I mean, because they know the regulatory audits we face.

0:21:20.840 --> 0:21:24.680
<v Speaker 2>They understand we're connected to the banking rails, the FED ach,

0:21:25.240 --> 0:21:27.800
<v Speaker 2>you know, all the things we can do, and so

0:21:28.320 --> 0:21:31.440
<v Speaker 2>we have found it to be helpful to be a bank.

0:21:31.760 --> 0:21:34.239
<v Speaker 2>I think we're fulfilling the mandate of what banks are

0:21:34.280 --> 0:21:39.520
<v Speaker 2>supposed to do, injecting liquidity into a dynamic marketplace. And

0:21:39.600 --> 0:21:42.920
<v Speaker 2>so we're very content being a bank and a financial

0:21:42.960 --> 0:21:44.600
<v Speaker 2>technology company all at once.

0:21:45.080 --> 0:21:49.640
<v Speaker 1>You know, you mentioned the broker industry a couple times here,

0:21:49.760 --> 0:21:52.720
<v Speaker 1>and obviously there was a huge case that was decided

0:21:52.760 --> 0:21:57.480
<v Speaker 1>on last week, the Montgomery case that was at the

0:21:57.560 --> 0:22:01.680
<v Speaker 1>Supreme Court. How is is it going to impact your

0:22:01.720 --> 0:22:04.600
<v Speaker 1>company at all? Is there a ripple effect to Triumph

0:22:04.680 --> 0:22:07.080
<v Speaker 1>or is it just more or less going to provide

0:22:08.280 --> 0:22:12.440
<v Speaker 1>some issues with the brokers that actually maybe might provide

0:22:12.880 --> 0:22:15.320
<v Speaker 1>Triumph with some opportunities.

0:22:15.960 --> 0:22:21.960
<v Speaker 2>Yeah. We generally try not to use a loud microphone

0:22:21.960 --> 0:22:25.159
<v Speaker 2>and opine about things we fail to fully understand. And

0:22:25.200 --> 0:22:27.080
<v Speaker 2>I hear a lot of people doing this about what

0:22:27.160 --> 0:22:29.480
<v Speaker 2>this case is going to mean. Right now, everybody's become

0:22:29.560 --> 0:22:34.600
<v Speaker 2>constitutional law experts and freight experts and experts on business

0:22:34.600 --> 0:22:37.240
<v Speaker 2>outcomes and all the things. So, and here's what we know.

0:22:37.960 --> 0:22:40.640
<v Speaker 2>One of the things Triumph has to do every day

0:22:41.400 --> 0:22:46.080
<v Speaker 2>is underwrite the credit worthiness of freight brokers. Why is that, Well,

0:22:46.080 --> 0:22:48.479
<v Speaker 2>it's because we buy their invoices on behalf of our

0:22:48.520 --> 0:22:52.960
<v Speaker 2>trucking companies. Well, we extend credit to them doing supply

0:22:53.119 --> 0:22:56.440
<v Speaker 2>chain finance as their partner. What do you think about

0:22:56.440 --> 0:22:59.240
<v Speaker 2>a freight broker that is a balance sheet light business?

0:23:00.080 --> 0:23:02.320
<v Speaker 2>Speaking right, I mean it should be it should be

0:23:02.720 --> 0:23:05.200
<v Speaker 2>a high return on invested capital business because you don't

0:23:05.200 --> 0:23:07.919
<v Speaker 2>own the assets, et cetera. Well, what we have just

0:23:08.400 --> 0:23:11.680
<v Speaker 2>seeing two things I know will be true. Number One,

0:23:11.840 --> 0:23:15.600
<v Speaker 2>insurance costs are going up for an industry that is

0:23:15.720 --> 0:23:19.560
<v Speaker 2>operating at very tight margins. Freight workers depends on their

0:23:19.560 --> 0:23:22.199
<v Speaker 2>business mix, But I think it's safe to generalize and

0:23:22.240 --> 0:23:25.400
<v Speaker 2>say this is a tight market for the brokerge industry.

0:23:25.800 --> 0:23:28.440
<v Speaker 2>I would point you to in our own intelligence data,

0:23:28.440 --> 0:23:30.320
<v Speaker 2>and I don't know that you can get this elsewhere.

0:23:30.960 --> 0:23:34.320
<v Speaker 2>That last quarter, in our shareholder letter, we wrote that

0:23:34.480 --> 0:23:38.320
<v Speaker 2>almost twenty five percent of all loads that brokers moved

0:23:38.359 --> 0:23:41.280
<v Speaker 2>to report to us were moved at a negative margin,

0:23:42.080 --> 0:23:46.119
<v Speaker 2>meaning their contract rate they had with their shipper versus

0:23:46.160 --> 0:23:48.600
<v Speaker 2>what they had to go cover that rate for in

0:23:48.640 --> 0:23:52.639
<v Speaker 2>the open market, they lost money. Now you layer onto

0:23:52.680 --> 0:23:55.440
<v Speaker 2>that insurance costs have to go up. Why do they

0:23:55.440 --> 0:23:58.600
<v Speaker 2>have to go up because not only did we just

0:23:58.840 --> 0:24:02.560
<v Speaker 2>pierce the veil if that's the right term, between the

0:24:02.640 --> 0:24:06.600
<v Speaker 2>carrier back to the broker, but that logic would apply

0:24:06.720 --> 0:24:09.200
<v Speaker 2>from the broker back to the shipper. So now think

0:24:09.240 --> 0:24:14.240
<v Speaker 2>about a fortune one hundred shipper, if they're going to

0:24:14.280 --> 0:24:18.320
<v Speaker 2>tender freight to a mid sized broker, what will they require?

0:24:18.400 --> 0:24:21.359
<v Speaker 2>What will they expect that they didn't used to expect. Well,

0:24:21.440 --> 0:24:25.080
<v Speaker 2>they're going to expect a layer of insurance coverage to

0:24:25.160 --> 0:24:28.359
<v Speaker 2>be in there, because I don't know in history of

0:24:28.400 --> 0:24:30.760
<v Speaker 2>a shipper ever being held liable for the acts of

0:24:30.800 --> 0:24:33.440
<v Speaker 2>a carrier hired by a broker. But the PLANEFFS bar

0:24:33.560 --> 0:24:35.560
<v Speaker 2>will figure out how to bring that claim all the

0:24:35.600 --> 0:24:38.000
<v Speaker 2>way back to the most solvent party in the transaction.

0:24:38.880 --> 0:24:41.760
<v Speaker 2>So Number one, no insurance costs are going up on

0:24:41.840 --> 0:24:44.959
<v Speaker 2>an industry that's that's already tight. That is going to

0:24:45.000 --> 0:24:47.880
<v Speaker 2>cause some brokers to fail, their business model to fail,

0:24:47.960 --> 0:24:50.760
<v Speaker 2>no question will It'll be tens of thousands. I don't know,

0:24:51.480 --> 0:24:54.280
<v Speaker 2>what I've learned is is that free markets figure things

0:24:54.320 --> 0:24:57.000
<v Speaker 2>out really quickly, which is why I'm grateful we live

0:24:57.000 --> 0:24:59.600
<v Speaker 2>in a free market. The second thing that we have

0:24:59.640 --> 0:25:03.800
<v Speaker 2>to under right, beyond that insurance and those those carrier

0:25:03.920 --> 0:25:08.520
<v Speaker 2>vetting costs, is the tail risk to a broker if

0:25:08.560 --> 0:25:11.000
<v Speaker 2>there is some large verdict and the end and the carrier,

0:25:11.320 --> 0:25:14.480
<v Speaker 2>you know, their insurance coverage runs out. So now it

0:25:14.600 --> 0:25:19.280
<v Speaker 2>makes us think about the credit worthiness of that freight

0:25:19.320 --> 0:25:22.919
<v Speaker 2>broker in a way we didn't historically think about it.

0:25:23.200 --> 0:25:25.439
<v Speaker 2>And so, like most things in this world, what I

0:25:25.480 --> 0:25:31.040
<v Speaker 2>think this will do is it injects a layer of

0:25:31.680 --> 0:25:35.199
<v Speaker 2>volatility and complexity, and so some brokers are going to

0:25:35.359 --> 0:25:39.960
<v Speaker 2>use that to their advantage and accelerate their business. And

0:25:40.040 --> 0:25:44.399
<v Speaker 2>the long tail, non differentiated brokers who just jammed things

0:25:44.440 --> 0:25:46.920
<v Speaker 2>on loadboards and really didn't serve a purpose other than

0:25:46.960 --> 0:25:51.720
<v Speaker 2>finding the cheapest capacity possible. That business model, as of

0:25:51.760 --> 0:25:55.240
<v Speaker 2>about a week ago, is is imminently threatened.

0:25:55.760 --> 0:26:00.080
<v Speaker 3>I was wondering you touched on the intelligence data, and

0:26:00.080 --> 0:26:02.040
<v Speaker 3>it's something that we haven't quite talked about yet, but

0:26:02.400 --> 0:26:05.920
<v Speaker 3>could you just let everyone know exactly what the intelligence

0:26:06.119 --> 0:26:08.600
<v Speaker 3>segment within Triumph is so well, first of all.

0:26:08.760 --> 0:26:12.399
<v Speaker 2>Understand in in trucking people talk about the size of

0:26:12.440 --> 0:26:14.879
<v Speaker 2>the trucking industry. The first place you got to do

0:26:14.920 --> 0:26:18.439
<v Speaker 2>a cutoff is not all freight in trucking is for

0:26:18.640 --> 0:26:23.640
<v Speaker 2>higher freight. Some companies Walmart and many others own assets

0:26:23.680 --> 0:26:28.479
<v Speaker 2>and move freight themselves, right, So there's no marketplace by

0:26:28.560 --> 0:26:31.320
<v Speaker 2>which we can calculate what the cost of those moves are.

0:26:31.359 --> 0:26:33.960
<v Speaker 2>Those are just owned fleets. So then we move into

0:26:34.000 --> 0:26:38.640
<v Speaker 2>the four higher market four or five hundred billion, depending

0:26:39.040 --> 0:26:40.880
<v Speaker 2>upon how you look at it. If we're talking about

0:26:40.880 --> 0:26:43.879
<v Speaker 2>the truck loan for higher market four to five hundred billion.

0:26:44.600 --> 0:26:49.520
<v Speaker 2>Of that, our belief is about twenty percent of all

0:26:49.560 --> 0:26:52.480
<v Speaker 2>that freight has been broker which has grown. If we

0:26:52.560 --> 0:26:54.560
<v Speaker 2>go back twenty five years ago, it was much smaller

0:26:54.640 --> 0:26:58.400
<v Speaker 2>than that. But the brokers invented technology. The brokers then

0:26:58.440 --> 0:27:01.920
<v Speaker 2>went out inside contracts and then they're used their technology

0:27:01.960 --> 0:27:05.439
<v Speaker 2>to find carriers to move the frame for them, and

0:27:05.480 --> 0:27:07.719
<v Speaker 2>they made a margin. And if you can do that,

0:27:07.760 --> 0:27:09.879
<v Speaker 2>and you can time the payments as such that you

0:27:09.880 --> 0:27:13.160
<v Speaker 2>don't pay the carrier until the shipper pays you, well,

0:27:13.200 --> 0:27:15.800
<v Speaker 2>I mean that's a that's a really fast way to

0:27:15.840 --> 0:27:18.399
<v Speaker 2>scale a business. Model, which was what gave birth to

0:27:18.480 --> 0:27:22.960
<v Speaker 2>a lot of this freight tech industry. So in broker

0:27:23.080 --> 0:27:26.560
<v Speaker 2>freight we called out one hundred and twenty five billion

0:27:26.600 --> 0:27:29.679
<v Speaker 2>dollar market, maybe one hundred and fifty billion today. Right,

0:27:29.720 --> 0:27:31.879
<v Speaker 2>if we inflate the sizes of everything, if that's what

0:27:31.920 --> 0:27:35.800
<v Speaker 2>the brokers are charging the shippers, we touch sixty seven

0:27:35.880 --> 0:27:39.080
<v Speaker 2>percent of all of those transactions. There is no one

0:27:39.119 --> 0:27:42.520
<v Speaker 2>in the world who touches sixty seven percent of all

0:27:42.560 --> 0:27:48.159
<v Speaker 2>of those transactions. We either audit them, we pay them

0:27:48.320 --> 0:27:51.000
<v Speaker 2>as the payor on behalf of the freight broker, we

0:27:51.080 --> 0:27:54.320
<v Speaker 2>buy the invoice as the factoring company for Triumph. Like

0:27:54.359 --> 0:27:57.040
<v Speaker 2>I said, we buy about one point three billion invoices

0:27:57.080 --> 0:28:00.959
<v Speaker 2>a month or it's submitted to us in our intelligence business,

0:28:01.640 --> 0:28:04.960
<v Speaker 2>so you are looking at a data set that a

0:28:05.280 --> 0:28:09.600
<v Speaker 2>just has big numbers attached to it, but b also

0:28:09.680 --> 0:28:13.399
<v Speaker 2>has density in lanes that are hard to know about,

0:28:13.480 --> 0:28:17.040
<v Speaker 2>like nobody. I can't tell anybody in our industry anything

0:28:17.080 --> 0:28:19.760
<v Speaker 2>about Dallas to Chicago that they don't already know that

0:28:19.880 --> 0:28:22.639
<v Speaker 2>is a well run lane or Laredo, the Dallas, et cetera.

0:28:23.160 --> 0:28:28.640
<v Speaker 2>Where our data becomes really helpful is in the lanes

0:28:28.680 --> 0:28:31.000
<v Speaker 2>that don't have the same amount of density, and you

0:28:31.160 --> 0:28:33.240
<v Speaker 2>need to do discovery of what does it take to

0:28:33.320 --> 0:28:38.480
<v Speaker 2>move this freight in this lane. So we give you know,

0:28:38.560 --> 0:28:41.000
<v Speaker 2>we're never trying to predict in the future it will

0:28:41.040 --> 0:28:43.880
<v Speaker 2>be this rate per mile this many days from now.

0:28:44.360 --> 0:28:46.720
<v Speaker 2>What we are saying to our customers is here is

0:28:46.760 --> 0:28:50.280
<v Speaker 2>the band of probability of where this market is going.

0:28:50.320 --> 0:28:53.800
<v Speaker 2>Because we can see what's happening, and we can we

0:28:53.920 --> 0:28:56.800
<v Speaker 2>run all this through some very large machine learning models.

0:28:57.320 --> 0:29:00.960
<v Speaker 2>Some of our customers already have large day to science teams.

0:29:01.000 --> 0:29:04.440
<v Speaker 2>We give them extracted data that they can plug into

0:29:04.480 --> 0:29:07.640
<v Speaker 2>their own models. So that's a very powerful thing, this

0:29:07.880 --> 0:29:10.560
<v Speaker 2>ratings engine. Because if you're a freight broker, I need

0:29:10.600 --> 0:29:13.080
<v Speaker 2>to know at what price. I mean, it's a little

0:29:13.120 --> 0:29:16.480
<v Speaker 2>bit like banking, right If you make a long term loan,

0:29:16.520 --> 0:29:18.120
<v Speaker 2>I need to know what it costs me to fund

0:29:18.160 --> 0:29:21.000
<v Speaker 2>myself if I go short on my deposits. That's how

0:29:21.040 --> 0:29:24.200
<v Speaker 2>banks run. Same thing in freight brokers. If I'm going

0:29:24.240 --> 0:29:27.280
<v Speaker 2>to enter into a contract with a shipper, I need

0:29:27.320 --> 0:29:29.600
<v Speaker 2>to know at what price I can procure that freight

0:29:29.640 --> 0:29:31.440
<v Speaker 2>to make sure I don't end up in a negative

0:29:31.480 --> 0:29:35.520
<v Speaker 2>margin scenario. So that's number one, the pricing tool, the

0:29:35.600 --> 0:29:38.040
<v Speaker 2>ratings tool to help them do their biz with their

0:29:38.080 --> 0:29:41.840
<v Speaker 2>upstream shippers, to also help them inform them where they're

0:29:41.880 --> 0:29:46.120
<v Speaker 2>going to buy buy transportation. The second thing that's coming

0:29:46.320 --> 0:29:48.640
<v Speaker 2>and it is in the market now we've talked about it,

0:29:49.360 --> 0:29:52.240
<v Speaker 2>that I in my opinion, just became a lot more

0:29:52.280 --> 0:29:56.000
<v Speaker 2>important on the back of this case, the Montgomery case is,

0:29:56.120 --> 0:30:00.520
<v Speaker 2>if you make payments on sixty seven percent all freight,

0:30:00.680 --> 0:30:03.760
<v Speaker 2>or if you audit those freight bills, you start to

0:30:03.880 --> 0:30:07.840
<v Speaker 2>learn where trucks are going, right, You know where a

0:30:07.960 --> 0:30:12.760
<v Speaker 2>carrier wants to go, where they're driving. And so capacity

0:30:12.800 --> 0:30:15.640
<v Speaker 2>intelligence that we are rolling out is we are going

0:30:15.760 --> 0:30:19.640
<v Speaker 2>to brokers and you know, eventually shippers and we will

0:30:19.640 --> 0:30:23.000
<v Speaker 2>say here in the lane, we know you consistently run,

0:30:24.200 --> 0:30:26.320
<v Speaker 2>and we know you run it because we've paid a

0:30:26.360 --> 0:30:28.320
<v Speaker 2>lot of truckers to haul on it for you. Here's

0:30:28.480 --> 0:30:32.360
<v Speaker 2>ten names of trucking companies that show a propensity to

0:30:32.520 --> 0:30:37.120
<v Speaker 2>run that lane that you've never used before. And we've

0:30:37.120 --> 0:30:40.960
<v Speaker 2>done enough work with these carriers to know that they

0:30:41.840 --> 0:30:44.240
<v Speaker 2>likely are going to be the quality of carrier you

0:30:44.240 --> 0:30:46.640
<v Speaker 2>would want to use, which becomes very important after the

0:30:46.640 --> 0:30:50.040
<v Speaker 2>Montgomery case. And so in your routing guide. You should

0:30:50.080 --> 0:30:54.560
<v Speaker 2>consider talking to these carriers as future strategic capacity. Now

0:30:54.560 --> 0:30:56.960
<v Speaker 2>we're not the only ones doing this. Other people are

0:30:57.080 --> 0:31:01.640
<v Speaker 2>using elds, other people are using cam is on roads. Well,

0:31:01.640 --> 0:31:03.840
<v Speaker 2>we need to lose is payments and that is a

0:31:03.960 --> 0:31:07.680
<v Speaker 2>unique way to view the world to give our customers

0:31:07.760 --> 0:31:12.960
<v Speaker 2>back a set of potential vendors that will serve them.

0:31:13.000 --> 0:31:14.840
<v Speaker 2>So that's just a couple of the things we do

0:31:15.000 --> 0:31:19.280
<v Speaker 2>in intelligence and why we believe that we are well positioned.

0:31:19.280 --> 0:31:22.680
<v Speaker 2>We have all the raw material, the underlying transactional data.

0:31:22.920 --> 0:31:24.800
<v Speaker 2>Now we just need to refine it in a way

0:31:25.640 --> 0:31:28.000
<v Speaker 2>that is valuable to our customers.

0:31:27.680 --> 0:31:31.000
<v Speaker 1>So's the end result on the intelligence that you'll more

0:31:31.120 --> 0:31:37.280
<v Speaker 1>or less give a I guess say a Triumph certification

0:31:37.560 --> 0:31:39.440
<v Speaker 1>of quality.

0:31:39.040 --> 0:31:40.040
<v Speaker 2>To a carrier.

0:31:40.360 --> 0:31:42.320
<v Speaker 1>Is that what you end up doing.

0:31:42.480 --> 0:31:46.720
<v Speaker 2>Well, that's a great question. I mean, now you get

0:31:46.720 --> 0:31:49.200
<v Speaker 2>into there are certain things banks can and can't do,

0:31:49.440 --> 0:31:51.880
<v Speaker 2>and there's probably certain things banks should and shouldn't do.

0:31:51.960 --> 0:31:55.000
<v Speaker 2>But a couple of things. When you sit where we

0:31:55.040 --> 0:31:58.280
<v Speaker 2>sit and do what we do, we can certainly tell

0:31:58.320 --> 0:32:03.000
<v Speaker 2>our customers where truckers are running because we know that

0:32:03.040 --> 0:32:05.840
<v Speaker 2>we see it. The second thing we can do and

0:32:06.160 --> 0:32:09.560
<v Speaker 2>I mean this has been the reason the factoring industry

0:32:09.680 --> 0:32:13.280
<v Speaker 2>came along, was because it was difficult for small truckers

0:32:13.320 --> 0:32:17.120
<v Speaker 2>to get credit. I mean, Fyco scores and trucking is

0:32:17.160 --> 0:32:21.560
<v Speaker 2>not really a thing. Well, who's in a great position

0:32:21.720 --> 0:32:25.560
<v Speaker 2>to be able to make an educated decision on whether

0:32:25.720 --> 0:32:28.880
<v Speaker 2>or not a specific trucking company is likely to be

0:32:28.920 --> 0:32:32.080
<v Speaker 2>able to pay their bills when due. I would argue

0:32:32.080 --> 0:32:35.160
<v Speaker 2>Triumph is right because I have their historical data. I

0:32:35.200 --> 0:32:37.520
<v Speaker 2>know who they've hauled for, I know how much they've

0:32:37.560 --> 0:32:41.080
<v Speaker 2>shown on time and full all the predictors of success

0:32:41.840 --> 0:32:44.640
<v Speaker 2>in a trucking company, at least the financial ones we

0:32:44.720 --> 0:32:47.760
<v Speaker 2>can see. And so as we go forward, we will

0:32:47.760 --> 0:32:50.680
<v Speaker 2>see Triumphs speak into the industry more and more about

0:32:50.720 --> 0:32:55.560
<v Speaker 2>carriers who we perceive to be a better financial risk. Now,

0:32:55.600 --> 0:32:59.120
<v Speaker 2>a financial risk is not one hundred percent equivalent with

0:32:59.240 --> 0:33:02.080
<v Speaker 2>operational risk, but what we have found is there's a

0:33:02.080 --> 0:33:05.479
<v Speaker 2>pretty high correlation. Those who run their and manage their

0:33:05.520 --> 0:33:09.480
<v Speaker 2>balance sheet and income statement will oftentimes run their equipment

0:33:09.480 --> 0:33:12.320
<v Speaker 2>and operations well. So it's not as if we're going

0:33:12.360 --> 0:33:15.080
<v Speaker 2>to give a badge of approval, but we will be

0:33:15.240 --> 0:33:21.240
<v Speaker 2>rolling out information that helps our customers understand the credit

0:33:21.320 --> 0:33:25.880
<v Speaker 2>profile risk, the financial understanding of carriers, that is, that's

0:33:25.880 --> 0:33:27.959
<v Speaker 2>something that will be coming out, gotcha.

0:33:28.240 --> 0:33:30.760
<v Speaker 3>And I think lastly, Aerone, I was hoping that if

0:33:30.760 --> 0:33:33.280
<v Speaker 3>you could touch on load pay a bit and help

0:33:33.320 --> 0:33:36.800
<v Speaker 3>us understand one of the carrier products that you have

0:33:36.840 --> 0:33:37.840
<v Speaker 3>at Triumph as well.

0:33:38.320 --> 0:33:41.960
<v Speaker 2>Yeah, so think about this. I'm sure both of you

0:33:42.440 --> 0:33:46.240
<v Speaker 2>at your personal bank, like, I have three teenage kids,

0:33:47.120 --> 0:33:49.920
<v Speaker 2>and the one thing that is a given is those

0:33:49.960 --> 0:33:52.840
<v Speaker 2>certain teenage kids need money and they never seem to

0:33:52.880 --> 0:33:58.040
<v Speaker 2>need money during business hours. And the easy thing for

0:33:58.080 --> 0:34:01.080
<v Speaker 2>me to do inside of our bank is I can

0:34:01.200 --> 0:34:04.360
<v Speaker 2>move money twenty four by seven by three sixty five

0:34:04.400 --> 0:34:06.920
<v Speaker 2>from my primary account to my kids account. Why because

0:34:06.920 --> 0:34:09.880
<v Speaker 2>it doesn't need to acch, it doesn't need a wire,

0:34:09.960 --> 0:34:15.480
<v Speaker 2>it's just a journal entry inside our bank. That's the

0:34:15.520 --> 0:34:20.880
<v Speaker 2>premise of load pay. If Triumph is making billions of

0:34:20.960 --> 0:34:27.759
<v Speaker 2>dollars of payments two carriers, why are we in a

0:34:27.840 --> 0:34:32.080
<v Speaker 2>world and to the brokers or excuse me, their factors,

0:34:32.600 --> 0:34:35.359
<v Speaker 2>why are in a world where we're sending out by

0:34:37.200 --> 0:34:40.000
<v Speaker 2>sending out ninety five percent of those payments by ah,

0:34:40.120 --> 0:34:42.960
<v Speaker 2>why would we do that? And it took me a

0:34:43.000 --> 0:34:46.360
<v Speaker 2>decade to figure this out, so I'm not as equipped

0:34:46.360 --> 0:34:48.360
<v Speaker 2>on the uptake as I should have been. What you

0:34:48.400 --> 0:34:51.720
<v Speaker 2>should do if you're a bank is you should figure

0:34:51.800 --> 0:34:55.000
<v Speaker 2>out how to create a digital wallet that meets the

0:34:55.000 --> 0:34:58.200
<v Speaker 2>needs of the trucker so that you can transfer money

0:34:58.480 --> 0:35:02.479
<v Speaker 2>without using a fintech ventu, without using reverse debit cards

0:35:02.560 --> 0:35:05.680
<v Speaker 2>or any of those things. So we can move money

0:35:05.719 --> 0:35:08.080
<v Speaker 2>twenty four by seven by three sixty five. And so

0:35:08.160 --> 0:35:10.920
<v Speaker 2>then if you get to a place or the automation

0:35:11.040 --> 0:35:14.640
<v Speaker 2>of our audit product can ascertain that this is a

0:35:14.680 --> 0:35:20.040
<v Speaker 2>real invoice, this invoice exists in the transportation management system

0:35:20.080 --> 0:35:24.560
<v Speaker 2>of the broker, it matches. Then we can instantly fund

0:35:25.880 --> 0:35:28.560
<v Speaker 2>to the partner party who needs to be funded, and

0:35:28.680 --> 0:35:32.680
<v Speaker 2>the money never leaves the ecosystem of our bank. Right.

0:35:32.719 --> 0:35:35.440
<v Speaker 2>If you're in banking, that's a great thing. You want

0:35:35.440 --> 0:35:38.280
<v Speaker 2>the money to stay in the bank. If you're the customer,

0:35:38.320 --> 0:35:42.000
<v Speaker 2>it's a great thing because now if you can submit

0:35:42.040 --> 0:35:45.760
<v Speaker 2>an invoice either to our factory business or our payments

0:35:45.760 --> 0:35:47.920
<v Speaker 2>business with a quick pay attached. But let's just use

0:35:47.920 --> 0:35:51.719
<v Speaker 2>our factory business for example, Friday morning at two am,

0:35:52.200 --> 0:35:56.680
<v Speaker 2>and our software can decide that that invoice is legitimate,

0:35:56.680 --> 0:36:00.799
<v Speaker 2>which our software can do and increasing percentage of the time. Well,

0:36:00.800 --> 0:36:03.000
<v Speaker 2>that's a cool trick, but it only matters to you,

0:36:03.160 --> 0:36:06.319
<v Speaker 2>the trucker if I can fund it to you at

0:36:06.360 --> 0:36:09.120
<v Speaker 2>that at Friday at two to one am. And so

0:36:09.239 --> 0:36:12.880
<v Speaker 2>right now we're seen in transactions. Well, when the invoice

0:36:12.880 --> 0:36:16.400
<v Speaker 2>comes in after business hours, we can audit the invoice,

0:36:16.440 --> 0:36:18.960
<v Speaker 2>approve the invoice, and fund the invoice and have the

0:36:19.040 --> 0:36:21.520
<v Speaker 2>money back to the carrier in less than twenty seconds.

0:36:22.320 --> 0:36:25.120
<v Speaker 2>And that's a big deal if you the carrier, didn't

0:36:25.120 --> 0:36:27.759
<v Speaker 2>need to go find a truck stop to refill and

0:36:27.800 --> 0:36:31.400
<v Speaker 2>get on down the road. So load pay it connects

0:36:31.440 --> 0:36:33.560
<v Speaker 2>the back end of the payments network. It gets the

0:36:33.600 --> 0:36:37.840
<v Speaker 2>carriers into the network and gives them instant access to liquidity.

0:36:38.360 --> 0:36:40.160
<v Speaker 2>The other reason just why we would do it is

0:36:40.200 --> 0:36:43.480
<v Speaker 2>because as a bank, we can be the issuing bank

0:36:43.480 --> 0:36:46.040
<v Speaker 2>and program sponsor for our debit card and we can

0:36:46.320 --> 0:36:50.719
<v Speaker 2>integrate fuel cards and load pay ends up. It's going.

0:36:51.000 --> 0:36:54.000
<v Speaker 2>It's started as a digital wallet, it's now a business

0:36:54.000 --> 0:36:57.200
<v Speaker 2>companion for the small trucker. It helps them. There's a

0:36:57.200 --> 0:37:01.000
<v Speaker 2>lot of features coming in July in August that will

0:37:01.000 --> 0:37:04.560
<v Speaker 2>help them run their business. And at the end of

0:37:04.560 --> 0:37:09.799
<v Speaker 2>the day regulation, Supreme Court decisions, etc. I tend to

0:37:09.840 --> 0:37:14.280
<v Speaker 2>believe that the trucking industry will remain an entrepreneurial driven

0:37:15.040 --> 0:37:18.480
<v Speaker 2>industry with small truckers filling the gaps that large asset

0:37:18.520 --> 0:37:22.560
<v Speaker 2>based carriers overlook, ignore, choose not to, and so we

0:37:22.680 --> 0:37:25.000
<v Speaker 2>just want to give small carriers the tools to succeed,

0:37:25.320 --> 0:37:27.240
<v Speaker 2>and load pay would be one of those tools.

0:37:27.880 --> 0:37:30.359
<v Speaker 1>You mentioned a couple of times about invoice, whether it's

0:37:30.360 --> 0:37:32.640
<v Speaker 1>a real invoice or not, And you know, fraud is

0:37:32.680 --> 0:37:36.879
<v Speaker 1>obviously a huge issue within the freight markets. Is your

0:37:36.960 --> 0:37:40.240
<v Speaker 1>system you know, are are you helping in the prevention

0:37:40.360 --> 0:37:42.600
<v Speaker 1>of fraud through through your own technologies?

0:37:43.120 --> 0:37:47.239
<v Speaker 2>Yes? I mean that the technology we created fifteen years

0:37:47.280 --> 0:37:51.120
<v Speaker 2>ago to make the market more efficient created some tremendous

0:37:51.160 --> 0:37:55.960
<v Speaker 2>pathways for fraudsters to attack the system. Right in the

0:37:56.000 --> 0:37:58.799
<v Speaker 2>old days, we used to have truckers come to our

0:37:58.880 --> 0:38:03.080
<v Speaker 2>office an invoice, and the joke always was if the

0:38:03.160 --> 0:38:06.520
<v Speaker 2>invoice smelled like cigarette smoke and had a coffee ring

0:38:06.560 --> 0:38:09.200
<v Speaker 2>on it, you knew it was a legitimate invoice. Okay,

0:38:09.239 --> 0:38:13.040
<v Speaker 2>I mean that genuinely happened. Now we live in a

0:38:13.080 --> 0:38:15.360
<v Speaker 2>world where I never seen the trucker, right, and I

0:38:15.400 --> 0:38:18.200
<v Speaker 2>don't actually see the real invoice. We used to actually

0:38:18.320 --> 0:38:21.600
<v Speaker 2>get the real invoice. Now we see a digital representation

0:38:21.840 --> 0:38:25.279
<v Speaker 2>of that invoice. Well, criminals are good, and they're going

0:38:25.320 --> 0:38:29.239
<v Speaker 2>to attack the supply chain because historically we haven't enforced

0:38:29.400 --> 0:38:32.120
<v Speaker 2>you know, the law enforcement hasn't been very engaged there,

0:38:32.480 --> 0:38:34.760
<v Speaker 2>and so we've seen every trick in the book, selling

0:38:34.840 --> 0:38:41.319
<v Speaker 2>us fraudulent invoices, duplicating invoices, et cetera. So technology made

0:38:41.400 --> 0:38:44.880
<v Speaker 2>things more efficient, but it also made things more efficient

0:38:44.880 --> 0:38:48.640
<v Speaker 2>for criminals. So we do a lot of things. Ultimately,

0:38:49.719 --> 0:38:54.000
<v Speaker 2>the source of truth for the decision to buy an invoice,

0:38:54.040 --> 0:38:58.320
<v Speaker 2>to immediately fund an invoice, the source of truth looms

0:38:58.440 --> 0:39:03.200
<v Speaker 2>inside the freight management system of a shipper or the

0:39:03.239 --> 0:39:08.280
<v Speaker 2>transportation management system of a broker. If that system tells

0:39:08.320 --> 0:39:11.439
<v Speaker 2>me the load is legitimate, then the load is ninety

0:39:11.520 --> 0:39:13.600
<v Speaker 2>nine point nine to nine percent of the time legitimate.

0:39:14.640 --> 0:39:18.200
<v Speaker 2>So our systems are built through API integrations and audit

0:39:18.280 --> 0:39:20.560
<v Speaker 2>and all the things we do to try to get

0:39:20.600 --> 0:39:23.400
<v Speaker 2>to the source of truth and say does this load

0:39:23.600 --> 0:39:27.439
<v Speaker 2>exist there? And if we can't get all the way there,

0:39:27.480 --> 0:39:29.399
<v Speaker 2>the second thing we try to do is does this

0:39:29.840 --> 0:39:33.720
<v Speaker 2>invoice that's been submitted to us, look like a load

0:39:34.160 --> 0:39:37.280
<v Speaker 2>that would have come from this freight broker or shipper?

0:39:37.320 --> 0:39:41.120
<v Speaker 2>Does it look like Can we make educated guesses because

0:39:41.719 --> 0:39:45.280
<v Speaker 2>I mean, banking is a risk business, right, Financing invoices

0:39:45.360 --> 0:39:47.200
<v Speaker 2>is a risk business. If it were risk free, you

0:39:47.239 --> 0:39:50.520
<v Speaker 2>wouldn't need us in there. So we use things like,

0:39:50.680 --> 0:39:56.600
<v Speaker 2>of course ocr technology API integrations to the transportation systems

0:39:56.600 --> 0:40:00.160
<v Speaker 2>of record. We use geotagging. We want to know where

0:40:00.200 --> 0:40:02.160
<v Speaker 2>the picture was taken. If you take a picture for

0:40:02.320 --> 0:40:06.200
<v Speaker 2>me of a proof of delivery in Chicago, the but

0:40:06.320 --> 0:40:09.719
<v Speaker 2>the picture in our app tells us that picture was

0:40:09.760 --> 0:40:13.400
<v Speaker 2>taken in Dallas. It's a little bit suspect to me, right,

0:40:13.480 --> 0:40:16.719
<v Speaker 2>that picture should have been taken in Chicago. So we

0:40:16.960 --> 0:40:20.120
<v Speaker 2>use a lot of different things to pattern, to try

0:40:20.120 --> 0:40:25.960
<v Speaker 2>to pattern the criminals and eliminate that from the system.

0:40:26.200 --> 0:40:28.600
<v Speaker 2>But you're moving so fast, right, We have to get

0:40:28.600 --> 0:40:32.239
<v Speaker 2>this money now we're pushing out between our payments and

0:40:32.239 --> 0:40:35.840
<v Speaker 2>our factoring business. We're approaching three hundred million dollars a

0:40:35.920 --> 0:40:39.920
<v Speaker 2>day at somewhere like eighteen hundred dollars an invoice to

0:40:40.320 --> 0:40:44.360
<v Speaker 2>hundreds of thousands of people. It's a very long and

0:40:44.480 --> 0:40:47.640
<v Speaker 2>hard thing to build this, and we've made a thousand mistakes,

0:40:48.400 --> 0:40:51.319
<v Speaker 2>and I'm sure we'll make more. But this is not

0:40:51.520 --> 0:40:53.600
<v Speaker 2>something you can sit and look at. If it was

0:40:53.640 --> 0:40:56.040
<v Speaker 2>a million dollar inval so, everybody would sit around and

0:40:56.080 --> 0:40:58.040
<v Speaker 2>look at it. Okay, is this right? Is this still right?

0:40:58.120 --> 0:41:00.360
<v Speaker 2>But when it's an eighteen hundred dollar invol and a

0:41:00.360 --> 0:41:02.400
<v Speaker 2>trucker needs to get paid so they can fill up

0:41:02.440 --> 0:41:05.360
<v Speaker 2>with fuel to do their next loan, you have to

0:41:05.440 --> 0:41:11.279
<v Speaker 2>create infrastructure, technology, processes, and procedures to do that almost automatically.

0:41:12.280 --> 0:41:14.920
<v Speaker 1>You know, as a founder, what has been the biggest

0:41:15.000 --> 0:41:16.600
<v Speaker 1>challenge of growing triumph?

0:41:16.920 --> 0:41:22.560
<v Speaker 2>I mean, I think the biggest challenge founder or not founder,

0:41:23.239 --> 0:41:28.160
<v Speaker 2>is can you is the culture? Can you build and

0:41:28.239 --> 0:41:32.120
<v Speaker 2>maintain a culture? Right? In community banking, there is a

0:41:32.160 --> 0:41:35.239
<v Speaker 2>perception of culture that you're slow, that you're there to

0:41:35.400 --> 0:41:38.359
<v Speaker 2>serve people who don't need to be served, right, I mean,

0:41:38.400 --> 0:41:41.280
<v Speaker 2>it's always easier to bank rich people's that's the theory.

0:41:41.600 --> 0:41:46.080
<v Speaker 2>So how do you recruit, retain and excite people to

0:41:46.200 --> 0:41:49.040
<v Speaker 2>come to a bank in Dallas with the vision of

0:41:49.080 --> 0:41:54.200
<v Speaker 2>transforming the transportation payments? Technology like that wasn't on anybody's

0:41:54.200 --> 0:41:57.400
<v Speaker 2>being go card. It doesn't make sense. We're not silicon Valley.

0:41:57.880 --> 0:42:03.640
<v Speaker 2>We're not, you know, back VC backed by some huge enterprises.

0:42:03.680 --> 0:42:06.200
<v Speaker 2>So how do you get people on LinkedIn to go?

0:42:06.320 --> 0:42:09.560
<v Speaker 2>You know, I think this little community bank in Dallas

0:42:09.600 --> 0:42:12.759
<v Speaker 2>really isn't a community bank. They're a financial technology company,

0:42:12.760 --> 0:42:14.040
<v Speaker 2>and I think they're going to win. And in the

0:42:14.080 --> 0:42:17.560
<v Speaker 2>early days, I mean I had to sell my shoe

0:42:17.600 --> 0:42:20.640
<v Speaker 2>leather off right to like, no, I'm serious, we're doing this.

0:42:20.719 --> 0:42:24.040
<v Speaker 2>We're going to change things. We're not just going to

0:42:24.200 --> 0:42:28.239
<v Speaker 2>react like you would expect someone who is of the

0:42:28.320 --> 0:42:31.719
<v Speaker 2>same industry to react. And then once you build that

0:42:31.800 --> 0:42:34.719
<v Speaker 2>and once you were bring those people in and you

0:42:34.760 --> 0:42:37.480
<v Speaker 2>grow and you scale and you go public, Like, how

0:42:37.480 --> 0:42:42.600
<v Speaker 2>do you maintain that entrepreneurialist spirit that got us here

0:42:44.440 --> 0:42:47.480
<v Speaker 2>when you go from what started with one person you know,

0:42:47.920 --> 0:42:51.600
<v Speaker 2>now is thirteen hundred people. I mean, that's the main

0:42:51.640 --> 0:42:53.399
<v Speaker 2>thing I do. There are people here who are way

0:42:53.400 --> 0:42:56.439
<v Speaker 2>better technologists than me, way better strategists than me, way

0:42:56.480 --> 0:43:00.279
<v Speaker 2>better at financial analysis than me. And so what I

0:43:00.320 --> 0:43:04.120
<v Speaker 2>think I have to be is a servant leader to

0:43:04.200 --> 0:43:08.360
<v Speaker 2>our team in order to keep attract and retain the

0:43:08.440 --> 0:43:10.520
<v Speaker 2>kind of talent you need to go do something as

0:43:10.560 --> 0:43:12.200
<v Speaker 2>ambitious as we've set off to do.

0:43:12.520 --> 0:43:15.400
<v Speaker 1>Gotcha. And you know I always like to end in

0:43:15.440 --> 0:43:18.560
<v Speaker 1>these conversations with this question of the guests. You know,

0:43:19.000 --> 0:43:21.560
<v Speaker 1>do you have a favorite book about the transportation industry,

0:43:21.680 --> 0:43:24.440
<v Speaker 1>leadership or ear in your case technology that's kind of

0:43:24.760 --> 0:43:26.400
<v Speaker 1>really resonated with you over the years.

0:43:26.800 --> 0:43:28.920
<v Speaker 2>Yeah, I would say the book right away and all

0:43:28.960 --> 0:43:33.440
<v Speaker 2>at once by Greg Brenneman just on how you transform

0:43:33.520 --> 0:43:39.160
<v Speaker 2>a business has been very has been very transformative for

0:43:39.280 --> 0:43:41.440
<v Speaker 2>me in the way I think about how I lead triumph.

0:43:41.560 --> 0:43:43.640
<v Speaker 1>All right, great, well, Aaron, I really want to thank

0:43:43.680 --> 0:43:45.200
<v Speaker 1>you for your time and insights today. This is a

0:43:45.239 --> 0:43:46.040
<v Speaker 1>great conversation.

0:43:46.480 --> 0:43:48.000
<v Speaker 2>Thank you guys. I appreciate it.

0:43:48.360 --> 0:43:50.200
<v Speaker 1>And Eric, this was fun. We need to find another

0:43:50.239 --> 0:43:52.960
<v Speaker 1>episode to collaborate on sometime in the future.

0:43:53.280 --> 0:43:55.239
<v Speaker 3>I agree. Thanks for having me Lee, Aaron, thanks for

0:43:55.360 --> 0:43:56.440
<v Speaker 3>joining us. It's been a pleasure.

0:43:56.560 --> 0:43:58.640
<v Speaker 1>Have a great day, and also want to thank you

0:43:58.680 --> 0:44:01.360
<v Speaker 1>for tuning in. If you like the episode, please subscribe

0:44:01.400 --> 0:44:04.000
<v Speaker 1>and labor review. We've lined up a number of great

0:44:04.000 --> 0:44:06.000
<v Speaker 1>guests for the podcast, so please check back to your

0:44:06.040 --> 0:44:10.840
<v Speaker 1>conversations with c SUDIT executives, shippers, regulators, and decision makers

0:44:10.880 --> 0:44:13.399
<v Speaker 1>within the freight markets. Also, if you want to learn

0:44:13.400 --> 0:44:16.080
<v Speaker 1>more about the freight transportation markets. Check out our work

0:44:16.120 --> 0:44:19.240
<v Speaker 1>on the Bloomberg Terminal at Bigo and on social media.

0:44:19.520 --> 0:44:22.600
<v Speaker 1>I'd also like to thank our producers Maryam Truer and

0:44:22.640 --> 0:44:26.279
<v Speaker 1>Adidia Somoni for helping to pull this podcast together. This

0:44:26.400 --> 0:44:28.480
<v Speaker 1>is Lee Klascaw signing off and thanks for talking to

0:44:28.520 --> 0:44:31.000
<v Speaker 1>transports with me. Talk to you next week. Take care,