WEBVTT - The Trucking Episode: Why the Industry Is Such a Mess

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Joe Wisntal and I'm Tracy Halloway. So, Tracy, we've

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<v Speaker 1>obviously been talking a ton on this show about supply chain,

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<v Speaker 1>bottlenext logistics and so forth. Probably you know, we've talked

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<v Speaker 1>about all of it, but had a We've had a

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<v Speaker 1>pretty emphasis on ships vessels, this sort of like international

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<v Speaker 1>freight aspect of global supply chains. I think that's right,

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<v Speaker 1>although I feel like we're getting more and more specialized.

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<v Speaker 1>So we started with container shipping and then we got

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<v Speaker 1>into break book a little bit on our previous episode,

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<v Speaker 1>and we're thinking about doing a barge episode. Now we

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<v Speaker 1>haven't gone into I guess like land transport, but it does.

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<v Speaker 1>It does feel like like we're working our way through

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<v Speaker 1>all the different modes of transport. Like I wonder if

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<v Speaker 1>we're gonna end up doing a sort of odd lots

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<v Speaker 1>of coraical episode at some point, like the wackiest modes

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<v Speaker 1>of moving goods. Yeah, I mean, we got that's that's

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<v Speaker 1>the way to do. It's zoom outgo global and then

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<v Speaker 1>start to drill down to all of the different nootion crannies.

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<v Speaker 1>But as you mentioned we did a sort of the

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<v Speaker 1>bulk shipping episode a couple of weeks ago, and uh,

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<v Speaker 1>at the end we're like, Okay, we gotta go trucking next,

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<v Speaker 1>and to now it's time for now, we gotta talk

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<v Speaker 1>about tripping alright, the truck driving episode. It's time has come.

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<v Speaker 1>I cannot contain my enthusiasm for this episode because I

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<v Speaker 1>think I mentioned this before, but one of my dream

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<v Speaker 1>jobs that I used to fantasize about was being a

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<v Speaker 1>truck driver. I think, like, I'm sure I have a

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<v Speaker 1>romanticized notion of what it is. And obviously part of

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<v Speaker 1>our conversation is going to be about how difficult driving

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<v Speaker 1>and the job actually is for those doing it on

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<v Speaker 1>a day to day basis. But I have a personal

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<v Speaker 1>interest in this industry and I'm really curious to hear

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<v Speaker 1>what exactly is going on at the moment. I also

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<v Speaker 1>have a personal romanticized interest, not because I ever aspired

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<v Speaker 1>to be a truck driver per se, but I'm a

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<v Speaker 1>big fan of country music and there's you know, lots

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<v Speaker 1>of songs about truck driving. And I was a huge

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<v Speaker 1>fan as a kid of that movie Convoy, which also

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<v Speaker 1>has a great soundtrack of song about truck driving six

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<v Speaker 1>Days on the Road, another good song. So I'm also

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<v Speaker 1>very interested in as UM and I'm very excited for

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<v Speaker 1>these episodes. So after we did that last episode, we're like,

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<v Speaker 1>we gotta do the truck driving episode. Today's guest. Multiple

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<v Speaker 1>people reached out and said, you gotta get on this guy.

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<v Speaker 1>He's the obvious next one for it. Yeah, and I

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<v Speaker 1>think it's gonna be interesting. I mean, one of the

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<v Speaker 1>reasons let's come up is because we hear these reports

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<v Speaker 1>of a shortage in truck drivers, which is again feeding

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<v Speaker 1>into the supply chain issues that we've been discussing on

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<v Speaker 1>all thoughts for the past year now. But there's a

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<v Speaker 1>big question mark over whether or not that's actually happening.

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<v Speaker 1>And again to to that point about you and I

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<v Speaker 1>both romanticizing the job, like there's a disconnect. There isn't

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<v Speaker 1>there if there is indeed a shortage, and yet people

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<v Speaker 1>like you and I are thinking, oh, it'd be nice

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<v Speaker 1>to drive a truck around and you know, have an

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<v Speaker 1>opportunity to eat junk food and listen to country music

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<v Speaker 1>and and be like Chris Christofferson and Ally McGraw and convoy.

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<v Speaker 1>Something's going on. So I'm really interested by this dynamic

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<v Speaker 1>and I'm looking forward to this conversation exactly right. So,

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<v Speaker 1>as I mentioned, everyone said, you've got to reach out

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<v Speaker 1>to this guest, so I'm very excited. We're gonna be

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<v Speaker 1>speaking with Craig Fuller. He is the founder and CEO

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<v Speaker 1>of Freight Waves, which which is kind of like the

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<v Speaker 1>Bloomberg Terminal for transport, could be said. They cover transport

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<v Speaker 1>from a news perspective, they also have data all that stuff,

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<v Speaker 1>and he is going to tell us all about domestic

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<v Speaker 1>truck industry and how stuff gets around at or it's

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<v Speaker 1>unloaded from the ports. So Craig, thank you very much

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<v Speaker 1>for joining us. Hey, Joe Tracy, great to be here. Craig,

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<v Speaker 1>so excited to talk to um. Obviously, there's lots to cover,

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<v Speaker 1>and of course we're going to get into all of

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<v Speaker 1>the supply chain messes that we're seeing right now. But

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<v Speaker 1>as always, you know, it sort of helps, and I

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<v Speaker 1>think it's especially true in trucking to talk about what

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<v Speaker 1>the pre crisis environment looked like, because if I recall

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<v Speaker 1>from seeing the reporting, there was a lot of like

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<v Speaker 1>very intense boom and bus cycles just in the last

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<v Speaker 1>few years leading up to periods where it is very good,

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<v Speaker 1>periods where it was weak. How would you describe the

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<v Speaker 1>sort of health of the industry pre crisis. Yeah, So

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<v Speaker 1>this is an industry that runs on very thin margins.

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<v Speaker 1>So if you take the industry average in terms of profitability,

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<v Speaker 1>typically and in a good year the industry will generate

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<v Speaker 1>three cross profits. And so it is not an industry

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<v Speaker 1>that is typically very profitable. There's a lot of there's

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<v Speaker 1>very very few barriers of entry, uh. And it's a

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<v Speaker 1>very cychnical industry. And so it's and there's reasons of

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<v Speaker 1>when the market is good where costs go up significantly

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<v Speaker 1>because the input costs go up. Uh. And when the

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<v Speaker 1>market is really bad, obviously revenue you know, drives up

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<v Speaker 1>when the economy drives its sputtering. And so because of

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<v Speaker 1>all those reasons, it's a very cychnical industry. And so,

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<v Speaker 1>as you mentioned, over the fast past five years, we've

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<v Speaker 1>had two freight recessions uh in the past five years,

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<v Speaker 1>and two big boom cycles and that was pre COVID.

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<v Speaker 1>So you have fuel costs that are big input colls,

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<v Speaker 1>you have labor costs that are big input costs. You

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<v Speaker 1>have driver turnover that's a massive issue for the industry. Uh.

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<v Speaker 1>You have a regulatory environment which continues to be more

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<v Speaker 1>and more restrictive on home you can hire. And then

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<v Speaker 1>you have a whole set of liabilities that the trucking

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<v Speaker 1>companies have to accept because of you know, the way

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<v Speaker 1>that that they manage their drivers and a responsible for them.

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<v Speaker 1>So those drivers up in an accident, Uh, those trucking

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<v Speaker 1>companies can be sued for tens of thirty millions of dollars.

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<v Speaker 1>And so it's an industry that has a lot of

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<v Speaker 1>structural challenges, but it has no bearers of entry. So

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<v Speaker 1>anytime you see the market become really strong, like every

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<v Speaker 1>other commodity market, there's a massive, massive boom cycle. Uh,

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<v Speaker 1>and then when the economy slows down because you've overbuilt

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<v Speaker 1>the capacity, the market crashes. So when you say there's

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<v Speaker 1>no barrier to entry, could you maybe describe what that

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<v Speaker 1>means exactly in practice and what the players in the

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<v Speaker 1>trucking market actually are at the moment, Like, are there

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<v Speaker 1>are a few companies that dominate this form of transport

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<v Speaker 1>in the US, And are there also smaller players that

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<v Speaker 1>might be enticed into it at times when they can

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<v Speaker 1>get paid a lot of money for doing it. Yes,

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<v Speaker 1>so the market is incredibly fragmented. So I know you

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<v Speaker 1>guys have done a lot of shows on the global

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<v Speaker 1>shipping market. The differences between global shipping and trucking is

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<v Speaker 1>that ten if you take a top ten shipping carriers,

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<v Speaker 1>they represent of the capacity. So it's a very concentrated market.

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<v Speaker 1>In trucking, it's completely different. If you take the top

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<v Speaker 1>ten trucking companies, you'll come up with about twelve of

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<v Speaker 1>the total capacity. So there's no LIKESK equivalent none. So

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<v Speaker 1>like the largest asset based trucking company is a company

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<v Speaker 1>called night Swift out of Phoenix, Arizona, but it does

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<v Speaker 1>about five and a half six billion dollars in revenue

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<v Speaker 1>on an industry that does about eight billions. So if

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<v Speaker 1>you sort of look at look at it, it's it

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<v Speaker 1>is a very very fragmented market. Uh. And for those reasons,

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<v Speaker 1>you have a lot of independent decision makers out uh

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<v Speaker 1>driving a lot of the issues in the market. And

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<v Speaker 1>so Tracy, if you wanted to go start a trucking company,

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<v Speaker 1>you could do that today. You would go buy a truck,

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<v Speaker 1>you would get a CDL and then you would be

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<v Speaker 1>off to the races. There's very little that you would

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<v Speaker 1>have to do beyond that, and so, uh, it's an

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<v Speaker 1>industry that allows people who are looking for a level

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<v Speaker 1>of independence and who want to own a company to

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<v Speaker 1>go start a trucking company. Um. The challenges is that

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<v Speaker 1>oftentimes those people don't have strong business acumen or experience,

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<v Speaker 1>and so you have this massive boom bust cycle. I

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<v Speaker 1>was just looking at the number of new trucking companies

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<v Speaker 1>that entered the industry in the last thirty days, and

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<v Speaker 1>we had eleven thousand new trucking companies that entered the

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<v Speaker 1>industry within the past month. Okay, that's okay. Now I

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<v Speaker 1>feel like I want to just like do an episode

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<v Speaker 1>on this alone, but actually I want to follow up

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<v Speaker 1>on this point. So let's say Tracy followed her dream

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<v Speaker 1>and wanted to be a trucker and all she would

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<v Speaker 1>have to do is buy a truck, get a driver's license,

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<v Speaker 1>and cheese in business. The obvious. The other question is

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<v Speaker 1>is there a plug in plane network that allows her

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<v Speaker 1>to immediately get jobs? Like what is the process? So

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<v Speaker 1>of eleventh, obviously it can't be too much of a

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<v Speaker 1>relationship based business where you need to have connections. If

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<v Speaker 1>eleven thousand companies. I have to imagine many of them

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<v Speaker 1>extremely small, maybe one or two people connenter. So when

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<v Speaker 1>you someone starts one of these companies, is there just

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<v Speaker 1>some sort of automatic way where they can start bidding

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<v Speaker 1>for jobs. Yeah. It's essentially like selling e commerce on

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<v Speaker 1>the internet. And so there are what they call loadboards

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<v Speaker 1>which work a lot like Craigslist, where I can take transactions.

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<v Speaker 1>Think of it, you know, probably the best analogy is

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<v Speaker 1>almost like an internet dating site like match dot com,

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<v Speaker 1>where buyers of capacity, so brokers, freight brokers are essentially

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<v Speaker 1>posting loads uh and then the trucking come but easy.

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<v Speaker 1>The tracy and this example would be looking for loads

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<v Speaker 1>wherever she wants to go uh for a load that

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<v Speaker 1>meets her uh, you know what she's looking for uh

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<v Speaker 1>and pays her what she wants to get paid. She

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<v Speaker 1>would take those loads uh and be able to fulfill

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<v Speaker 1>those orders. So that's a loadboard marketplace typically ran by

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<v Speaker 1>brokers uh. And then over time she would get a

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<v Speaker 1>couple of really close shipper relationships. And shippers and our

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<v Speaker 1>h lexicon are the people that move that buy freight services.

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<v Speaker 1>So these are the walmarts and the png s and

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<v Speaker 1>the amazons that are a buying capacity in the market.

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<v Speaker 1>And so over time, if Tracy really wanted to get

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<v Speaker 1>out of the sort of low inside of the market,

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<v Speaker 1>the spot side of the market, she would move into

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<v Speaker 1>developing close relationships with one or two really good shippers

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<v Speaker 1>that can keep her trucks moving at all times. And

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<v Speaker 1>so typically when you start in the industry, you're either

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<v Speaker 1>going to start as a truck driver as an employee driver,

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<v Speaker 1>so you go work for a trucking company doesn't require

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<v Speaker 1>you to go buy a truck. You would have become

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<v Speaker 1>in the other path, has become an owner operator and

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<v Speaker 1>signed up under a trucking authority. So a big trucking

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<v Speaker 1>company would contract you and you would be contracted to

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<v Speaker 1>them and they would help find loads for you. And

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<v Speaker 1>now we have this sort of digital marketplaces that are

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<v Speaker 1>both the traditional load boards or electronic apps where you

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<v Speaker 1>can just download it like an Uber and if you're

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<v Speaker 1>an Uber driver, you can get loads from that app.

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<v Speaker 1>It's a very similar set of marketplaces and trucking where

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<v Speaker 1>you can find orders that will allow you to keep moving.

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<v Speaker 1>So effectively, Tracy, you know, if you decided you want

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<v Speaker 1>to become a started trucking company. Within a couple of weeks,

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<v Speaker 1>you could have a truck, you could have your cd

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<v Speaker 1>L and you would be off to the races. And

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<v Speaker 1>in this market probably making two d thousand dollars a

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<v Speaker 1>year in gross revenue and your cost of good sold

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<v Speaker 1>or you're operating costs to be about a hundreds and thousands,

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<v Speaker 1>so you would make in profit today about a hundred thousand.

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<v Speaker 1>Now here's the challenge the market if it collapses, and

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<v Speaker 1>it will at some point. This is a boom and

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<v Speaker 1>bus cycle. So at some point you would go from

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<v Speaker 1>making two hundred thousand to probably uh in revenue to

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<v Speaker 1>about eighty thousand, and your operating costs would say consistent,

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<v Speaker 1>so you would actually end up losing. And that's what

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<v Speaker 1>causes this bankruptcy cycle that we see a lot. So

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<v Speaker 1>I have so many questions, but I mean, number one,

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<v Speaker 1>this idea of drivers choosing a load or a route

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<v Speaker 1>that they want to take. It reminds me a lot

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<v Speaker 1>of the way airline pilots bid for individual schedules, like

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<v Speaker 1>typically at the airline that actually employs them, but they

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<v Speaker 1>do kind of have the system where they can choose

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<v Speaker 1>where they want to go. And then I guess my

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<v Speaker 1>big question based on that is is there actually a

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<v Speaker 1>trucker shortage? If we have eleven thousand new trucking companies

0:13:05.640 --> 0:13:11.120
<v Speaker 1>being created, it seems like things are moving. It seems

0:13:11.200 --> 0:13:14.920
<v Speaker 1>like truck drivers have some flexibility in the routes that

0:13:14.960 --> 0:13:18.680
<v Speaker 1>they're choosing to take. I guess I'm curious, like, is

0:13:18.679 --> 0:13:23.000
<v Speaker 1>it an actual shortage or our truck drivers just avoiding

0:13:23.679 --> 0:13:29.080
<v Speaker 1>certain routes or certain types of work in the market. Tracy,

0:13:29.120 --> 0:13:33.120
<v Speaker 1>I'm so glad you asked this question because oftentimes people

0:13:33.200 --> 0:13:37.440
<v Speaker 1>talk about a quote unquote driver shortage without really exploring

0:13:37.480 --> 0:13:39.480
<v Speaker 1>what that means. And so I don't like the word

0:13:39.559 --> 0:13:43.079
<v Speaker 1>driver shortage because it's it's a term that is actually

0:13:43.559 --> 0:13:46.520
<v Speaker 1>doesn't really explain much in terms of what's actually taking place.

0:13:46.559 --> 0:13:50.679
<v Speaker 1>And so the way I think of the industry constructs

0:13:50.720 --> 0:13:55.880
<v Speaker 1>are a driver shortage is really a truck, a trucking company,

0:13:56.000 --> 0:13:59.240
<v Speaker 1>a fleet that doesn't have a driver. They have a truck,

0:13:59.240 --> 0:14:00.960
<v Speaker 1>but they don't have a drive before that truck. That's

0:14:00.960 --> 0:14:03.560
<v Speaker 1>a driver shortage the way we would describe it at

0:14:03.559 --> 0:14:07.200
<v Speaker 1>freight waves. And then you have capacity shortages, which is

0:14:07.400 --> 0:14:11.280
<v Speaker 1>which are imbalances between supply and demand. Now you can

0:14:11.320 --> 0:14:14.280
<v Speaker 1>have a driver shortage and a capacity shortage at the

0:14:14.320 --> 0:14:17.760
<v Speaker 1>same time. So a fleet or across the entire industry,

0:14:17.880 --> 0:14:21.200
<v Speaker 1>you can have driver shortages so we have more trucks

0:14:21.240 --> 0:14:24.160
<v Speaker 1>than we do drivers to drive them. That does happen

0:14:24.720 --> 0:14:28.400
<v Speaker 1>um and then you can also have capacity shortages, which

0:14:28.440 --> 0:14:31.920
<v Speaker 1>means there's more freight demand than there are trucks to

0:14:32.560 --> 0:14:36.560
<v Speaker 1>haul it, or you can have a capacity glut at

0:14:36.640 --> 0:14:39.160
<v Speaker 1>the same time. So so if you think about it

0:14:39.160 --> 0:14:43.680
<v Speaker 1>from the perspective of what's happening right now, is there

0:14:43.760 --> 0:14:47.600
<v Speaker 1>is a capacity shortage because the demand is so high.

0:14:47.680 --> 0:14:51.120
<v Speaker 1>And so just using the term driver shortage at times

0:14:51.240 --> 0:14:54.040
<v Speaker 1>doesn't really describe what's happening. Because back in two thousand

0:14:54.120 --> 0:14:59.600
<v Speaker 1>nineteen we had a capacity glut, but some trucking companies

0:14:59.640 --> 0:15:02.920
<v Speaker 1>have uh didn't have drivers to fulfill the trucks, but

0:15:02.960 --> 0:15:05.320
<v Speaker 1>they didn't need to because there wasn't enough freight to

0:15:05.440 --> 0:15:09.520
<v Speaker 1>actually create demand on those trucks. I have a sort

0:15:09.520 --> 0:15:12.520
<v Speaker 1>of very quick question, and it just again goes back

0:15:12.560 --> 0:15:16.560
<v Speaker 1>to Tracy's company that she's going to launch. Are there

0:15:16.600 --> 0:15:21.480
<v Speaker 1>actually trucks for sale? Yeah, so there's a used market

0:15:21.920 --> 0:15:24.600
<v Speaker 1>now you can't today get a new truck. So the

0:15:24.680 --> 0:15:27.800
<v Speaker 1>issue is that this is an asset. So the other

0:15:27.880 --> 0:15:31.720
<v Speaker 1>thing creates real economic issues for trucking companies typically that

0:15:31.800 --> 0:15:34.360
<v Speaker 1>own assets. If you think about owning assets, if you

0:15:34.360 --> 0:15:38.320
<v Speaker 1>own a building or a warehouse, you're gonna that asset

0:15:38.440 --> 0:15:42.720
<v Speaker 1>over time should appreciate and over time, uh, you're gonna

0:15:42.720 --> 0:15:44.840
<v Speaker 1>hold onto that for thirty years. Even in the shipping

0:15:44.880 --> 0:15:48.080
<v Speaker 1>industries you guys have covered, those ships have life cycles

0:15:48.080 --> 0:15:50.440
<v Speaker 1>of twenty to thirty years. And so if I go

0:15:51.000 --> 0:15:54.680
<v Speaker 1>buy a ship, I'm able to operate that ship for

0:15:54.720 --> 0:15:57.960
<v Speaker 1>thirty years. In trucking, I'm only going to be able

0:15:58.000 --> 0:16:01.480
<v Speaker 1>to operate that truck for three years. Uh. And so

0:16:02.080 --> 0:16:04.160
<v Speaker 1>so really, as I run that truck and put as

0:16:04.160 --> 0:16:06.680
<v Speaker 1>many miles as I can, there is a secondary market

0:16:06.760 --> 0:16:09.320
<v Speaker 1>for that uh. And so typically what happens is the

0:16:09.400 --> 0:16:13.520
<v Speaker 1>larger fleets or the owner operators that run nationwide will

0:16:13.600 --> 0:16:16.080
<v Speaker 1>end up running the truck for three years, and after

0:16:16.440 --> 0:16:19.160
<v Speaker 1>the three year cycle, they will end up selling it

0:16:19.200 --> 0:16:22.320
<v Speaker 1>into a secondary market, which will end up going to

0:16:22.920 --> 0:16:26.440
<v Speaker 1>more localized operations support operators, people that don't have as

0:16:26.480 --> 0:16:29.800
<v Speaker 1>strenuous sort of over the road long haul demands. And

0:16:29.840 --> 0:16:33.400
<v Speaker 1>so because of that, the trucking companies have to go

0:16:33.440 --> 0:16:35.760
<v Speaker 1>out and buy new trucks every three you know, they're

0:16:35.760 --> 0:16:39.080
<v Speaker 1>constantly buying new equipment. So you have this really big

0:16:39.120 --> 0:16:43.160
<v Speaker 1>issue where the you know, trucks don't hold their value

0:16:43.240 --> 0:16:46.200
<v Speaker 1>so based on what cycle or in in terms of

0:16:46.200 --> 0:16:48.800
<v Speaker 1>boom or bust, depends on how well they do, and

0:16:48.800 --> 0:16:52.360
<v Speaker 1>so that's a pretty significant issue. But right now, use

0:16:52.440 --> 0:16:55.520
<v Speaker 1>trucks have gone up about in the last three months.

0:16:56.000 --> 0:16:59.040
<v Speaker 1>So it's good if you own equipment and you can

0:16:59.080 --> 0:17:02.280
<v Speaker 1>sell that equipment. If you have too many trucks and

0:17:02.320 --> 0:17:05.119
<v Speaker 1>not enough drivers, you're you're doing quite well because your

0:17:05.160 --> 0:17:08.280
<v Speaker 1>balance sheets have really really improved, and so we're actually

0:17:08.280 --> 0:17:10.200
<v Speaker 1>seeing a lot of that. But ordering a new truck

0:17:10.240 --> 0:17:13.159
<v Speaker 1>here about nine months out to get it. If you

0:17:13.280 --> 0:17:16.240
<v Speaker 1>ordered a truck today, it would take you approximately nine

0:17:16.280 --> 0:17:18.800
<v Speaker 1>months to get it, and that is assuming that they

0:17:18.840 --> 0:17:21.040
<v Speaker 1>will even take your order. Right now, a lot of

0:17:21.040 --> 0:17:22.840
<v Speaker 1>the O. E. M s are not actually accepting new

0:17:22.880 --> 0:17:27.520
<v Speaker 1>truck orders. Just going back to truckers for a second,

0:17:27.560 --> 0:17:30.000
<v Speaker 1>because you know, my new trucking company, we obviously care

0:17:30.040 --> 0:17:32.920
<v Speaker 1>about the equipment, but we care very much about our

0:17:33.480 --> 0:17:37.280
<v Speaker 1>human capital as well. But my understanding is that there's

0:17:37.320 --> 0:17:41.119
<v Speaker 1>a lot of turnover among drivers too, So you know,

0:17:41.480 --> 0:17:45.800
<v Speaker 1>trucks might get worn out after three years. Drivers might

0:17:46.040 --> 0:17:49.040
<v Speaker 1>get worn out in even less time and leave the

0:17:49.080 --> 0:17:55.040
<v Speaker 1>industry altogether. Could you maybe describe how desirable is being

0:17:55.080 --> 0:17:59.439
<v Speaker 1>a truck driver as an occupation at the moment. So

0:17:59.560 --> 0:18:01.119
<v Speaker 1>Joe and I talked about how we both have a

0:18:01.200 --> 0:18:04.440
<v Speaker 1>sort of romanticized view of it, could you maybe um

0:18:04.480 --> 0:18:06.760
<v Speaker 1>tell us what it's really like and how it stacks

0:18:06.840 --> 0:18:09.800
<v Speaker 1>up against the money that you're actually being paid to

0:18:09.960 --> 0:18:14.480
<v Speaker 1>do it at the moment. The realities are quite different

0:18:14.560 --> 0:18:17.359
<v Speaker 1>than your romanticized view of the industry. It is a

0:18:17.440 --> 0:18:20.560
<v Speaker 1>tough job. So if you're an owner operator, you will

0:18:20.640 --> 0:18:23.280
<v Speaker 1>make in this market because the demand is so high,

0:18:23.600 --> 0:18:25.560
<v Speaker 1>you would do quite well. You know, you probably wouldn't

0:18:25.600 --> 0:18:29.080
<v Speaker 1>have a hundred thousand dollars as a employee driver. You're

0:18:29.080 --> 0:18:32.040
<v Speaker 1>probably going to be making about fifty five to sixty

0:18:32.080 --> 0:18:35.720
<v Speaker 1>thou dollars as an employee driver per year, and you're

0:18:35.760 --> 0:18:38.200
<v Speaker 1>gonna be paid on a per mile basis. Um you're

0:18:38.200 --> 0:18:41.760
<v Speaker 1>gonna you're gonna run your truck or drive or work

0:18:42.240 --> 0:18:45.240
<v Speaker 1>about fifty six hours on a given week, so it's

0:18:45.240 --> 0:18:48.600
<v Speaker 1>not a forty hour week. You're actually working fifty six hours.

0:18:48.600 --> 0:18:52.600
<v Speaker 1>But here's the reality is you're not at home every

0:18:52.640 --> 0:18:55.359
<v Speaker 1>single night. The vast majority of the drivers, you're actually

0:18:55.400 --> 0:18:58.520
<v Speaker 1>out and so while you may not be on duty

0:18:59.280 --> 0:19:01.240
<v Speaker 1>that you know, the six hours in a given week,

0:19:01.720 --> 0:19:04.280
<v Speaker 1>you're you're still at a truck stop. You know, you're

0:19:04.320 --> 0:19:07.120
<v Speaker 1>still dealing with sort of being out over the road.

0:19:07.160 --> 0:19:09.359
<v Speaker 1>So it's it's really it creates a lot of strain

0:19:09.440 --> 0:19:12.760
<v Speaker 1>on families. Uh, it creates a lot of strain on people.

0:19:12.760 --> 0:19:15.639
<v Speaker 1>It takes a special kind of person to want a

0:19:15.720 --> 0:19:17.760
<v Speaker 1>life where they're out in the road. It's it's a

0:19:17.840 --> 0:19:20.080
<v Speaker 1>job that's very dangerous. It's one of the most dangerous

0:19:20.160 --> 0:19:24.280
<v Speaker 1>jobs in America. It's a job that has very high

0:19:24.400 --> 0:19:28.639
<v Speaker 1>occupational issues in terms of health. You're sitting in a

0:19:28.680 --> 0:19:31.159
<v Speaker 1>truck for a you know, you're driving for eleven hours

0:19:31.200 --> 0:19:35.119
<v Speaker 1>a day, you're sitting, which you know, drivers have high

0:19:35.240 --> 0:19:39.720
<v Speaker 1>incidents of obesity and diabetes. So it's not a great lifestyle.

0:19:40.119 --> 0:19:43.679
<v Speaker 1>Uh and uh. For all of those reasons, it's not

0:19:43.760 --> 0:19:47.679
<v Speaker 1>a desirable job for for a large percent of the population.

0:19:47.800 --> 0:19:52.000
<v Speaker 1>And the Unfortunately, the industry salaries have not kept up

0:19:52.040 --> 0:19:55.879
<v Speaker 1>with a lot of the competitive industries which they compete

0:19:55.920 --> 0:20:01.120
<v Speaker 1>for labor like warehousing, construction, other types of industries which

0:20:01.160 --> 0:20:19.240
<v Speaker 1>tend to pull the same labor of course, so I'm

0:20:19.240 --> 0:20:22.840
<v Speaker 1>curious like on this, like what were there and you

0:20:22.880 --> 0:20:26.119
<v Speaker 1>alluded to this at the very beginning the workplace trends,

0:20:26.200 --> 0:20:29.959
<v Speaker 1>But what was the trajectory of sort of people entering

0:20:30.480 --> 0:20:33.800
<v Speaker 1>the workforce making their careers as truck drivers. And then

0:20:33.960 --> 0:20:37.840
<v Speaker 1>in this particular spike, has there been any like um

0:20:38.000 --> 0:20:41.240
<v Speaker 1>pay dynamic or any increase in wage that has perhaps

0:20:41.320 --> 0:20:44.240
<v Speaker 1>brought people off the sidelines either to get back into

0:20:44.320 --> 0:20:47.000
<v Speaker 1>trucking or to get their c d L. Yeah, so

0:20:47.080 --> 0:20:50.159
<v Speaker 1>let's let's talk about two things. One is there's effectively

0:20:50.200 --> 0:20:54.600
<v Speaker 1>two separate markets between the employee driver market, which is

0:20:54.640 --> 0:20:57.640
<v Speaker 1>someone who goes and gets a job at a trucking company,

0:20:57.960 --> 0:21:01.359
<v Speaker 1>which is actually seen a three there's three percent less

0:21:01.440 --> 0:21:06.399
<v Speaker 1>truck drivers today that work for fleets then there were

0:21:07.480 --> 0:21:09.919
<v Speaker 1>pre COVID, so we actually lost three percent of the

0:21:09.920 --> 0:21:14.640
<v Speaker 1>industry that the driving force of employees. And then we've

0:21:14.680 --> 0:21:18.520
<v Speaker 1>seen an increase in eleven thousand trucking companies in the

0:21:18.600 --> 0:21:22.600
<v Speaker 1>last month. Those are not employees, those are essentially fleet

0:21:22.640 --> 0:21:25.960
<v Speaker 1>operators that are in that So we've seen some a

0:21:26.000 --> 0:21:28.040
<v Speaker 1>lot of growth in the owner operated market of the

0:21:28.040 --> 0:21:30.040
<v Speaker 1>spot market because they can make a lot more money.

0:21:30.440 --> 0:21:35.280
<v Speaker 1>And we've seen a shortage in the UH employee drivers

0:21:35.480 --> 0:21:39.040
<v Speaker 1>UM and so turnover typically in a trucking companies a

0:21:39.119 --> 0:21:42.840
<v Speaker 1>hundred and fifteen because a lot of people end enter

0:21:42.920 --> 0:21:45.320
<v Speaker 1>the industry but don't really know what they're getting into.

0:21:45.440 --> 0:21:48.120
<v Speaker 1>They have this sort of I don't you know. Tracy

0:21:48.240 --> 0:21:50.479
<v Speaker 1>has this sort of idolized view of how great this

0:21:50.560 --> 0:21:53.639
<v Speaker 1>is going to be, and she enters the industry. She

0:21:53.720 --> 0:21:57.320
<v Speaker 1>goes to a trucking school and is excited about her

0:21:57.320 --> 0:21:59.840
<v Speaker 1>career for the first couple of weeks and then realizes

0:22:00.119 --> 0:22:03.520
<v Speaker 1>just how tough UH it really is to be a

0:22:03.520 --> 0:22:06.240
<v Speaker 1>truck driver, and so she ends up quitting and deciding

0:22:06.320 --> 0:22:08.199
<v Speaker 1>it's not a great job for her, and so she

0:22:08.359 --> 0:22:10.959
<v Speaker 1>ends up going to work at a at a warehouse

0:22:11.080 --> 0:22:13.880
<v Speaker 1>or ends up going to do construction where she can

0:22:13.920 --> 0:22:17.440
<v Speaker 1>make today more money than she can be for it

0:22:17.520 --> 0:22:19.080
<v Speaker 1>can be a truck driver. And so there's just a

0:22:19.119 --> 0:22:21.800
<v Speaker 1>lot of structural issues that are there just for the

0:22:22.000 --> 0:22:24.800
<v Speaker 1>how long H is truck driving school? How long would

0:22:24.840 --> 0:22:27.480
<v Speaker 1>it take an average person to go from never having

0:22:27.560 --> 0:22:31.919
<v Speaker 1>driven a truck to being UH licensed UH six to

0:22:32.000 --> 0:22:34.560
<v Speaker 1>eight weeks um and it depends. And this is in

0:22:34.600 --> 0:22:37.640
<v Speaker 1>a in a COVID world, truck and schools have shut down.

0:22:37.680 --> 0:22:40.000
<v Speaker 1>So this is the other issue is that if you

0:22:40.160 --> 0:22:42.119
<v Speaker 1>sort of look at it, a lot of states didn't

0:22:43.040 --> 0:22:47.000
<v Speaker 1>treat trucking as a critical job or a truck driving

0:22:47.000 --> 0:22:49.679
<v Speaker 1>schools is a critical job. So they were basically a

0:22:49.680 --> 0:22:52.080
<v Speaker 1>lot of them were mandated to be shut down. And

0:22:52.160 --> 0:22:54.960
<v Speaker 1>so a large percent of the people that enter the

0:22:55.000 --> 0:22:59.399
<v Speaker 1>industry that become employee drivers enter through the truck driving schools.

0:22:59.440 --> 0:23:02.080
<v Speaker 1>When we lost twenty percent of them and even the

0:23:02.119 --> 0:23:07.639
<v Speaker 1>ones that did have survived were actually shut down for

0:23:07.800 --> 0:23:10.040
<v Speaker 1>months a couple of months, and so there was this

0:23:10.080 --> 0:23:15.040
<v Speaker 1>big shortage of bringing new people into the industry, uh

0:23:15.320 --> 0:23:17.280
<v Speaker 1>for for those jobs. And that's what's really created as

0:23:17.280 --> 0:23:19.560
<v Speaker 1>to pass the constraint that we see right now. So

0:23:20.240 --> 0:23:23.480
<v Speaker 1>one thing I've been thinking about is is there a

0:23:23.640 --> 0:23:29.159
<v Speaker 1>way aside from raising wages because you mentioned this is

0:23:29.160 --> 0:23:32.160
<v Speaker 1>a slim margin industry and you know, maybe giving truck

0:23:32.240 --> 0:23:35.240
<v Speaker 1>drivers a massive pay rise doesn't really work economically, But

0:23:35.359 --> 0:23:38.560
<v Speaker 1>is there a way to make the job more i

0:23:38.560 --> 0:23:41.639
<v Speaker 1>don't want to say enjoyable, but maybe less stressful or

0:23:41.720 --> 0:23:47.000
<v Speaker 1>make the lifestyle less onerous so that you attract more people,

0:23:47.119 --> 0:23:50.760
<v Speaker 1>particularly women and maybe some other minorities who aren't necessarily

0:23:50.800 --> 0:23:52.919
<v Speaker 1>interested in truck driving at the moment, so that you

0:23:53.119 --> 0:23:56.399
<v Speaker 1>entice them into the job and you have a bigger

0:23:56.480 --> 0:24:01.560
<v Speaker 1>pool of potential drivers. And Rate Trucking Company is trying

0:24:01.560 --> 0:24:03.399
<v Speaker 1>to figure that out, and no one has sort of

0:24:03.480 --> 0:24:06.600
<v Speaker 1>figured out the secret to it. There are certainly initiatives

0:24:06.600 --> 0:24:09.359
<v Speaker 1>to bring women. Some fleets have as as much as

0:24:10.240 --> 0:24:14.840
<v Speaker 1>of their fleet are women. Automated transmissions sort of removing

0:24:14.880 --> 0:24:18.560
<v Speaker 1>the stick, if you will, actually attracted a lot of women.

0:24:18.800 --> 0:24:21.000
<v Speaker 1>A lot of the O. E. M S designed trucks

0:24:21.080 --> 0:24:25.240
<v Speaker 1>that are in seats that are more comfortable for women,

0:24:25.400 --> 0:24:28.760
<v Speaker 1>are allowed for someone who's shorter, has a smaller body

0:24:28.800 --> 0:24:32.400
<v Speaker 1>to fit inside the cab, and typically the trucks were

0:24:32.400 --> 0:24:35.240
<v Speaker 1>built for men, you know, big, big, sort of big

0:24:35.280 --> 0:24:39.600
<v Speaker 1>oversized environments, and now they've sort of focused on the

0:24:39.600 --> 0:24:41.720
<v Speaker 1>aesthetics to trap more women to the industry, and so

0:24:41.760 --> 0:24:45.640
<v Speaker 1>there certainly is an element of that, but the industry

0:24:45.640 --> 0:24:48.600
<v Speaker 1>has not figured it out. Now we do see large

0:24:48.840 --> 0:24:56.040
<v Speaker 1>investments around recruiting Latino drivers, recruiting African American drivers, recruiting

0:24:56.240 --> 0:24:58.760
<v Speaker 1>you know, one of the largest population of truck drivers

0:24:58.800 --> 0:25:03.320
<v Speaker 1>has been very successful has been uh. Indian populations in

0:25:03.359 --> 0:25:09.359
<v Speaker 1>trucking is actually a very respected industry in India. UH.

0:25:09.400 --> 0:25:13.520
<v Speaker 1>And so a lot of the trucking companies have figured

0:25:13.520 --> 0:25:17.840
<v Speaker 1>out that they can bring in, you know, bringing immigrants

0:25:17.880 --> 0:25:20.480
<v Speaker 1>from India that have a pedigree in trucking and they

0:25:20.520 --> 0:25:23.240
<v Speaker 1>will bring their families and their friends to join their fleet.

0:25:23.680 --> 0:25:27.320
<v Speaker 1>And so there's this very large population of Indian American

0:25:27.320 --> 0:25:31.360
<v Speaker 1>truck drivers that have have been very successful. So there

0:25:31.480 --> 0:25:35.600
<v Speaker 1>is a effort to diversify the industry, but it's still

0:25:35.640 --> 0:25:38.600
<v Speaker 1>an industry that is not attractive to a lot of

0:25:38.640 --> 0:25:41.359
<v Speaker 1>people when they can find alternative work. You know. One

0:25:41.440 --> 0:25:43.960
<v Speaker 1>of the issues that you you have in in sort

0:25:44.000 --> 0:25:48.600
<v Speaker 1>of as you diversify is Latino populations into want to

0:25:48.640 --> 0:25:51.320
<v Speaker 1>stay close to families. So the lifestyle of being a

0:25:51.359 --> 0:25:54.399
<v Speaker 1>truck driver doesn't work great for someone who wants to

0:25:54.440 --> 0:25:57.680
<v Speaker 1>be with their family on a you know, every night basis. Um.

0:25:57.800 --> 0:26:02.240
<v Speaker 1>And so you have sort of these constraints that exist

0:26:02.280 --> 0:26:06.840
<v Speaker 1>in the industry and there really isn't an easy answer. Um.

0:26:06.960 --> 0:26:09.680
<v Speaker 1>The job itself requires you to be out over the road.

0:26:10.200 --> 0:26:14.040
<v Speaker 1>You know, freight has to move. It is inconsistent, you

0:26:14.400 --> 0:26:17.439
<v Speaker 1>don't have a consistent schedule, you're not hauling a consistent route,

0:26:17.960 --> 0:26:20.360
<v Speaker 1>and so there's a lot of structural issues that are

0:26:20.440 --> 0:26:24.040
<v Speaker 1>not easily addressed. So, first of all, I hope if

0:26:24.080 --> 0:26:27.920
<v Speaker 1>we do get a lot more Indian or Indian American drivers,

0:26:28.000 --> 0:26:32.960
<v Speaker 1>that they bring the Indian tradition of decorating the trucks

0:26:33.160 --> 0:26:37.439
<v Speaker 1>with them, because they do they do. There's there is

0:26:37.480 --> 0:26:42.040
<v Speaker 1>some awesome YouTube videos which our Body was style and

0:26:42.080 --> 0:26:46.200
<v Speaker 1>they're they're incredible because they're they're dancing in front of

0:26:46.200 --> 0:26:50.359
<v Speaker 1>their rigs and they've outfitted these beautiful rigs. It is

0:26:50.480 --> 0:26:54.760
<v Speaker 1>and and and and the job itself is one of pride.

0:26:55.320 --> 0:26:58.960
<v Speaker 1>It is one that they're very proud of the job.

0:26:59.119 --> 0:27:04.480
<v Speaker 1>And it's it is an unusually there's an esteem associated

0:27:04.480 --> 0:27:09.439
<v Speaker 1>with becoming a truck driver. And it's an industry or

0:27:09.560 --> 0:27:11.800
<v Speaker 1>a group of population that the industry has been very

0:27:11.840 --> 0:27:16.119
<v Speaker 1>successful recruiting. And the challenges because of the American immigration

0:27:16.160 --> 0:27:21.200
<v Speaker 1>policy doesn't allow us to import hundreds of thousands of

0:27:21.600 --> 0:27:23.800
<v Speaker 1>folks from India to take these jobs, and so we're

0:27:23.840 --> 0:27:28.040
<v Speaker 1>sort of stuck with a small portion of the industry

0:27:28.080 --> 0:27:32.320
<v Speaker 1>that that fits that demographic. Yeah, So I've seen some

0:27:32.359 --> 0:27:35.919
<v Speaker 1>of those trucks in India and Pakistan and they're absolutely

0:27:36.000 --> 0:27:38.200
<v Speaker 1>beautiful and I think I've spent a lot of time

0:27:38.400 --> 0:27:41.399
<v Speaker 1>photographing them myself. But the other thing I want to

0:27:41.440 --> 0:27:45.320
<v Speaker 1>ask is, so, if you think that being away from

0:27:45.359 --> 0:27:50.919
<v Speaker 1>home is a major downside for potential truck drivers, is

0:27:50.960 --> 0:27:54.560
<v Speaker 1>there any way to try to fix that problem? Like

0:27:54.680 --> 0:27:58.440
<v Speaker 1>could you organize some of the trucking routes more efficiently?

0:27:58.560 --> 0:28:01.200
<v Speaker 1>Could you develop some sort of end off system where

0:28:01.320 --> 0:28:04.840
<v Speaker 1>instead of having a single driver drive from you know,

0:28:04.920 --> 0:28:07.399
<v Speaker 1>like the west coast to the east coast, they could

0:28:07.400 --> 0:28:12.400
<v Speaker 1>maybe pass on their loads from like, you know, midway

0:28:12.480 --> 0:28:14.800
<v Speaker 1>through the journey or something like that, so that they

0:28:14.960 --> 0:28:18.360
<v Speaker 1>wouldn't have to spend so much time away from their

0:28:18.359 --> 0:28:21.040
<v Speaker 1>home or their home base. Or does that not just

0:28:21.160 --> 0:28:26.479
<v Speaker 1>work economically? Were logistically It's very difficult, and it is

0:28:26.600 --> 0:28:29.920
<v Speaker 1>tried in you know, it is tried and successful and

0:28:30.000 --> 0:28:32.600
<v Speaker 1>sort of parcel operations and what they call lt L

0:28:32.680 --> 0:28:37.240
<v Speaker 1>which are small palettes or small parcel where I'm running

0:28:37.680 --> 0:28:40.960
<v Speaker 1>a terminal determinal network and I sort of it's sort

0:28:40.960 --> 0:28:43.080
<v Speaker 1>of a closed loop, if you will, where the same

0:28:43.120 --> 0:28:45.000
<v Speaker 1>set of drivers are going back and forth. So it

0:28:45.080 --> 0:28:49.640
<v Speaker 1>does work in very limited cases. But supply chains, the

0:28:50.000 --> 0:28:54.600
<v Speaker 1>issue is that the customer demands, the supply chain demands

0:28:55.240 --> 0:29:00.840
<v Speaker 1>are very different than the driver uh and trucking demands.

0:29:01.040 --> 0:29:04.120
<v Speaker 1>And so what supply chains want our products there as

0:29:04.160 --> 0:29:07.160
<v Speaker 1>fast as possible. They want them efficient, you know, they

0:29:07.160 --> 0:29:10.320
<v Speaker 1>want to move. Is all liquidity demanded in the supply chain,

0:29:10.680 --> 0:29:14.480
<v Speaker 1>and so you can't optimize the trucking market or network.

0:29:14.720 --> 0:29:18.000
<v Speaker 1>Should that I agree that, um, you would want to

0:29:18.160 --> 0:29:20.959
<v Speaker 1>if you if everything else is created equals So for

0:29:21.000 --> 0:29:23.680
<v Speaker 1>those reasons, you know, freight tends to run what we

0:29:23.800 --> 0:29:26.240
<v Speaker 1>call head hall and back hall. So you see places

0:29:26.280 --> 0:29:29.440
<v Speaker 1>like southern California l A, which you know is the

0:29:29.520 --> 0:29:33.240
<v Speaker 1>largest port in the United States. You know, a lot

0:29:33.280 --> 0:29:37.479
<v Speaker 1>of freight enters l A, but very very little freight

0:29:38.160 --> 0:29:41.280
<v Speaker 1>is imported into Southern California from the rest of the country.

0:29:41.360 --> 0:29:44.400
<v Speaker 1>So what you have is this massive head haul market

0:29:44.200 --> 0:29:47.040
<v Speaker 1>out of southern California that goes all over the country

0:29:47.480 --> 0:29:52.520
<v Speaker 1>and then basically very little freights coming from the other

0:29:52.560 --> 0:29:54.800
<v Speaker 1>parts of the country back to l A. So there's

0:29:54.800 --> 0:29:58.520
<v Speaker 1>just a lot of inefficiencies and how supply chains work

0:29:58.640 --> 0:30:02.600
<v Speaker 1>that create issues and Frankly, customers want things as soon

0:30:02.640 --> 0:30:05.000
<v Speaker 1>as possible. Businesses want them as soon as possible. And

0:30:05.040 --> 0:30:08.760
<v Speaker 1>for those reasons, you can't optimize, uh as you mentioned,

0:30:08.760 --> 0:30:11.480
<v Speaker 1>for these handoffs scenarios. Companies have tried it. It just

0:30:11.520 --> 0:30:14.840
<v Speaker 1>doesn't work pretty well. So that perfectly leads to where

0:30:14.840 --> 0:30:16.920
<v Speaker 1>I was going to go next, because you know, we've

0:30:16.920 --> 0:30:19.000
<v Speaker 1>talked about a lot about some of the big structural

0:30:19.200 --> 0:30:22.680
<v Speaker 1>issues facing this industry, but also the current moment for

0:30:22.760 --> 0:30:24.920
<v Speaker 1>supply chains, and we've touched on it a little bit,

0:30:25.240 --> 0:30:27.440
<v Speaker 1>has some unique challenges, and I think that's a good

0:30:27.440 --> 0:30:32.040
<v Speaker 1>place to start. The the the gap between outbound shipments

0:30:32.080 --> 0:30:35.840
<v Speaker 1>from the port of Los Angeles elsewhere versus inbound which

0:30:35.920 --> 0:30:38.040
<v Speaker 1>was already very um you know, there's already a big

0:30:38.040 --> 0:30:42.320
<v Speaker 1>disparity for years, but that's really grown massively in this

0:30:42.440 --> 0:30:44.640
<v Speaker 1>crisis because of all the goods important and how little

0:30:44.800 --> 0:30:48.480
<v Speaker 1>is being exported, and that has created its own unique

0:30:48.560 --> 0:30:53.800
<v Speaker 1>challenges for shipping, you know, because the ships aren't taking

0:30:53.800 --> 0:30:56.440
<v Speaker 1>back as many containers and so forth. We've talked about that,

0:30:56.920 --> 0:30:59.840
<v Speaker 1>So let's talk about like other than just the pure

0:31:00.040 --> 0:31:04.720
<v Speaker 1>like overwhelming sort of like supply demand mismatch, how else

0:31:05.000 --> 0:31:08.800
<v Speaker 1>are the sort of like new imbalances making this moment

0:31:09.200 --> 0:31:13.600
<v Speaker 1>even worse and exacerbating some of the structural problems for

0:31:13.640 --> 0:31:18.520
<v Speaker 1>this industry. Well, you know, this is interesting because I

0:31:18.720 --> 0:31:21.080
<v Speaker 1>listened to a couple of your podcast, particularly around shipping,

0:31:21.760 --> 0:31:26.240
<v Speaker 1>and people are now aware of all of the things

0:31:26.320 --> 0:31:28.440
<v Speaker 1>that can go wrong in a supply chain, where before

0:31:28.480 --> 0:31:31.800
<v Speaker 1>no one cared. And so for someone who does this, uh,

0:31:31.880 --> 0:31:34.240
<v Speaker 1>this is you know something we do, I do full time.

0:31:34.720 --> 0:31:37.920
<v Speaker 1>It's really it's it's a really interesting time because all

0:31:37.920 --> 0:31:41.960
<v Speaker 1>of a sudden, people are very aware and very concerned

0:31:42.000 --> 0:31:45.040
<v Speaker 1>about all of the stuff that's taking place across the

0:31:45.040 --> 0:31:47.400
<v Speaker 1>global supply chain, where was before no one cared. I

0:31:47.480 --> 0:31:50.000
<v Speaker 1>would often get asked, can you actually build a media

0:31:50.240 --> 0:31:52.800
<v Speaker 1>and data business? For fraid it seems like a very

0:31:52.840 --> 0:31:54.520
<v Speaker 1>small niche, And I'm like, well, it's two percent of

0:31:54.520 --> 0:31:58.440
<v Speaker 1>the global economy. Of the economy the global economy is

0:31:58.480 --> 0:32:01.480
<v Speaker 1>are logistics dependent end trees. But everybody sort of ignored

0:32:01.480 --> 0:32:04.160
<v Speaker 1>it because they all assumed it all worked because they

0:32:04.240 --> 0:32:07.760
<v Speaker 1>didn't they didn't experience these issues. So these issues that

0:32:07.800 --> 0:32:11.840
<v Speaker 1>we're seeing have always existed, just not to the degree

0:32:11.960 --> 0:32:15.480
<v Speaker 1>that the market was already strained and stretched that we

0:32:15.520 --> 0:32:18.720
<v Speaker 1>see right now, and frankly most people were not aware

0:32:18.720 --> 0:32:22.160
<v Speaker 1>of it. We've always had hurricanes that have disrupted supply chains.

0:32:22.240 --> 0:32:26.280
<v Speaker 1>We've we've had at times pipeline issues. We've had you know,

0:32:26.440 --> 0:32:31.440
<v Speaker 1>presidents that shut down borders that create massive disruptions. Um

0:32:31.480 --> 0:32:34.000
<v Speaker 1>just just out of you know, uh, sit out a

0:32:34.000 --> 0:32:35.480
<v Speaker 1>tweet and all of a sudden, I'm gonna shut on

0:32:35.520 --> 0:32:37.920
<v Speaker 1>the Mexican border because I don't like the fact that

0:32:37.920 --> 0:32:40.680
<v Speaker 1>you're not paying from my wall. And if you do that,

0:32:41.040 --> 0:32:43.560
<v Speaker 1>then all of a sudden, the auto suppliers have to

0:32:43.840 --> 0:32:47.200
<v Speaker 1>put a lot of inventory into Southern Texas that they

0:32:47.240 --> 0:32:50.600
<v Speaker 1>haven't available. These things are always playing out, and now

0:32:50.680 --> 0:32:55.760
<v Speaker 1>we're really aware as a society how vulnerable you are

0:32:55.960 --> 0:32:58.680
<v Speaker 1>supply chain disruptions which have always existed, just not with

0:32:58.760 --> 0:33:00.960
<v Speaker 1>the degree they are and not act back. And so

0:33:01.640 --> 0:33:04.080
<v Speaker 1>a lot of this is sort of I think a

0:33:04.120 --> 0:33:06.800
<v Speaker 1>new awareness and new level of respect that people have.

0:33:07.120 --> 0:33:10.080
<v Speaker 1>There's all this inner dependency. So you look at what's

0:33:10.080 --> 0:33:14.000
<v Speaker 1>happening shipping, it certainly impacts the trucking market, and it's

0:33:14.040 --> 0:33:17.959
<v Speaker 1>both ways, because what ends up happening is the trucking market.

0:33:18.360 --> 0:33:22.320
<v Speaker 1>As much as one fifth of trucking volumes are tied

0:33:22.400 --> 0:33:25.800
<v Speaker 1>directly to imports, and for those reasons, when you see

0:33:25.800 --> 0:33:30.520
<v Speaker 1>this massive amount of imports hit the freight market, uh,

0:33:30.560 --> 0:33:34.560
<v Speaker 1>it creates an enormous amount of strain in terms of

0:33:34.600 --> 0:33:38.920
<v Speaker 1>trucking capacity or trucking demand. And for those reasons, we're

0:33:38.960 --> 0:33:41.880
<v Speaker 1>seeing a lot of issues. Uh. And just look at

0:33:41.920 --> 0:33:44.800
<v Speaker 1>tight inventories and look at the lack of labor supply.

0:33:45.360 --> 0:33:47.680
<v Speaker 1>All this stuff is playing out and now people are

0:33:47.720 --> 0:33:50.680
<v Speaker 1>experiencing that only in their business life, with their experience

0:33:50.680 --> 0:33:53.640
<v Speaker 1>in their personal life. So you mentioned the idea that

0:33:53.680 --> 0:33:57.200
<v Speaker 1>even though the trucking industry is in a boon now

0:33:57.320 --> 0:33:59.760
<v Speaker 1>and people can make a lot of money, that it's

0:34:00.040 --> 0:34:02.360
<v Speaker 1>most certainly going to end up in a bust and

0:34:02.600 --> 0:34:05.720
<v Speaker 1>over capacity at some point in time. And this is

0:34:05.760 --> 0:34:08.480
<v Speaker 1>something that keeps cropping up in all of our discussions

0:34:08.560 --> 0:34:13.000
<v Speaker 1>about shipping. And I'm just wondering, what is it about

0:34:13.040 --> 0:34:18.319
<v Speaker 1>the transport industry that seems to make it so cyclical

0:34:18.600 --> 0:34:22.240
<v Speaker 1>in nature. So you mentioned the low barriers to entry

0:34:22.280 --> 0:34:25.040
<v Speaker 1>for trucking, and I could see how you would get

0:34:25.040 --> 0:34:27.680
<v Speaker 1>a bunch of people who start trucking companies when times

0:34:27.680 --> 0:34:29.400
<v Speaker 1>are good and they think it's an easy way to

0:34:29.440 --> 0:34:31.799
<v Speaker 1>make money and then when things get a little bit

0:34:31.840 --> 0:34:34.600
<v Speaker 1>more difficult, they all go bust and it's a sort

0:34:34.640 --> 0:34:37.680
<v Speaker 1>of self fulfilling cycle. But it's a little bit different

0:34:37.760 --> 0:34:40.400
<v Speaker 1>in shipping, where you do have long lead times to

0:34:40.520 --> 0:34:44.680
<v Speaker 1>build very very expensive vessels. It's dominated by a few

0:34:44.719 --> 0:34:47.080
<v Speaker 1>companies that have a decent amount of money, or at

0:34:47.160 --> 0:34:49.880
<v Speaker 1>least more money than some of the trucking companies. So

0:34:49.920 --> 0:34:53.480
<v Speaker 1>I guess my question is what's the common thread between

0:34:53.520 --> 0:34:57.040
<v Speaker 1>all these transportation and logistics companies that seems to make

0:34:57.080 --> 0:35:02.520
<v Speaker 1>them very, very vulnerable to these cycles of booms and us. Yeah,

0:35:02.600 --> 0:35:05.600
<v Speaker 1>it's a it's a great question. So in the shipping market,

0:35:05.600 --> 0:35:07.279
<v Speaker 1>I'm going to own a ship for thirty years, So

0:35:07.400 --> 0:35:11.000
<v Speaker 1>these shipping cycles typically play out over decades. Um. You know,

0:35:11.080 --> 0:35:14.839
<v Speaker 1>the shipping industry has had this sort of a shut

0:35:14.960 --> 0:35:18.880
<v Speaker 1>recessionary environments two thousand eight since the Great Financial Crisis,

0:35:19.200 --> 0:35:21.959
<v Speaker 1>and in the last two years a sort of has

0:35:22.000 --> 0:35:23.960
<v Speaker 1>had has sort of come out of that, and COVID

0:35:24.080 --> 0:35:27.839
<v Speaker 1>really accelerated that. So that cycle will probably live on

0:35:27.960 --> 0:35:31.120
<v Speaker 1>for some some period of time. Uh. In trucking, they

0:35:31.160 --> 0:35:34.120
<v Speaker 1>typically the industry runs in three to four year cycles

0:35:34.160 --> 0:35:38.279
<v Speaker 1>because it's very it's very close to the broader industrial

0:35:38.320 --> 0:35:42.560
<v Speaker 1>cycle and the economy and the domestic economy. Uh. And

0:35:42.600 --> 0:35:46.920
<v Speaker 1>so for those reasons, if the industrial sector is very soft,

0:35:47.000 --> 0:35:51.040
<v Speaker 1>so well trucking. And but what happens is because of

0:35:51.120 --> 0:35:55.279
<v Speaker 1>the lack of bears of entry, people when they enter

0:35:55.360 --> 0:35:57.200
<v Speaker 1>the industry, they go out by these trucks. You all

0:35:57.200 --> 0:35:59.840
<v Speaker 1>of a sudden have this glut of capacity and the

0:36:00.000 --> 0:36:02.759
<v Speaker 1>industry has to throw that during the softer time. So

0:36:03.040 --> 0:36:06.520
<v Speaker 1>two thousand eighteen was a record year for trucking. Two

0:36:06.520 --> 0:36:10.279
<v Speaker 1>thousand nineteen was the worst year in trucking since the

0:36:10.320 --> 0:36:13.960
<v Speaker 1>Great Depression. Two thousand and twenty. We saw two side,

0:36:14.080 --> 0:36:17.040
<v Speaker 1>you know, really three cycles. We saw the run up

0:36:17.080 --> 0:36:20.440
<v Speaker 1>to COVID where you have this massive surge and demand.

0:36:21.000 --> 0:36:24.279
<v Speaker 1>We saw a crash where you saw this massive hangover.

0:36:25.000 --> 0:36:28.240
<v Speaker 1>So in March you saw this massive surge. In April

0:36:28.320 --> 0:36:32.040
<v Speaker 1>you saw this massive hangover. And then we've seen a

0:36:32.080 --> 0:36:35.800
<v Speaker 1>super demand cycle since then. And so uh, these cycles

0:36:35.840 --> 0:36:39.360
<v Speaker 1>live out and because there's very little barriers of entry,

0:36:39.920 --> 0:36:43.600
<v Speaker 1>it allows the industry to get over supplied really really quickly.

0:36:43.680 --> 0:36:48.000
<v Speaker 1>And because you have such a fragmented market, there are

0:36:48.080 --> 0:36:51.960
<v Speaker 1>forty thousand trucking companies that that have that have employees

0:36:52.840 --> 0:36:54.760
<v Speaker 1>that work for them to have more than one truck.

0:36:55.200 --> 0:36:59.560
<v Speaker 1>And for those reasons, there are so many independent decision

0:36:59.560 --> 0:37:02.600
<v Speaker 1>makers that are out making decisions on what's in their

0:37:02.640 --> 0:37:06.040
<v Speaker 1>best interest and oftentimes don't have you biquitous information across

0:37:06.080 --> 0:37:09.640
<v Speaker 1>the industry, uh that they end up end up buying

0:37:09.640 --> 0:37:14.360
<v Speaker 1>more trucks, growing their fleet, and increasing their costs along

0:37:14.400 --> 0:37:16.880
<v Speaker 1>the way. So right now, what's happening is the trucking

0:37:16.880 --> 0:37:21.160
<v Speaker 1>industry is dramatically increasing labor costs. They're trying to attract

0:37:21.200 --> 0:37:25.200
<v Speaker 1>new drivers into the industry by increasing salaries. Well, the

0:37:25.600 --> 0:37:29.400
<v Speaker 1>problem is when the market busts, they will be stuck

0:37:29.440 --> 0:37:33.800
<v Speaker 1>with those salaries. So they're operating costs have gone up.

0:37:33.880 --> 0:37:37.360
<v Speaker 1>The operating costs have shot, you know, way up. They

0:37:37.440 --> 0:37:40.160
<v Speaker 1>will have to live with those higher operating costs. And

0:37:40.200 --> 0:37:42.000
<v Speaker 1>it's okay, is the market as long as the markets

0:37:42.000 --> 0:37:44.920
<v Speaker 1>doing well. But when the market, when the volume drives up,

0:37:45.040 --> 0:37:48.279
<v Speaker 1>is it inevitably will they will be stuck with very

0:37:48.360 --> 0:37:50.799
<v Speaker 1>high operating costs and we'll just see a massive bleed

0:37:50.840 --> 0:37:54.400
<v Speaker 1>out in the industry. Can you just go back and

0:37:54.719 --> 0:37:58.640
<v Speaker 1>talk about specifically, I mean, that is pretty striking to say,

0:37:58.719 --> 0:38:02.160
<v Speaker 1>is the worst year in a on a growth basis

0:38:02.160 --> 0:38:05.839
<v Speaker 1>since the Depression. It was the worst trucking market in

0:38:05.920 --> 0:38:09.680
<v Speaker 1>terms of bankruptcies since the greater since the Great Procession.

0:38:09.719 --> 0:38:12.440
<v Speaker 1>So just look us through if you don't mind, like

0:38:12.760 --> 0:38:16.480
<v Speaker 1>to give us this summary of what really happened in ten.

0:38:16.560 --> 0:38:19.640
<v Speaker 1>So the government created this new mandate called the electronic

0:38:19.680 --> 0:38:22.760
<v Speaker 1>logging device, which basically in the old days truck drivers

0:38:22.800 --> 0:38:27.800
<v Speaker 1>would would use paper logs and cheating or creative accounting

0:38:27.800 --> 0:38:29.880
<v Speaker 1>as we like to call it, a lot of them

0:38:29.880 --> 0:38:32.040
<v Speaker 1>were cheating the amount of time. Now the big trucking

0:38:32.040 --> 0:38:34.880
<v Speaker 1>companies and there's always this rubbed between the small trucking

0:38:34.920 --> 0:38:38.279
<v Speaker 1>companies which are the independent and the big trucking companies,

0:38:38.719 --> 0:38:40.879
<v Speaker 1>and so there's always this sort of the little guys

0:38:40.880 --> 0:38:42.400
<v Speaker 1>and the big guys are sort of always fighting it

0:38:42.440 --> 0:38:45.560
<v Speaker 1>out in terms of what regulations. So the big carriers

0:38:45.960 --> 0:38:49.680
<v Speaker 1>are all constantly getting sued and constantly getting audited by

0:38:49.719 --> 0:38:52.520
<v Speaker 1>the federal government and others, so they have to keep

0:38:52.560 --> 0:38:56.680
<v Speaker 1>things really really tight compliant otherwise they just you know,

0:38:57.400 --> 0:38:59.560
<v Speaker 1>it would be a pretty nasty situation for them. So

0:39:00.040 --> 0:39:04.360
<v Speaker 1>the small carriers have don't typically have to operate, uh

0:39:04.400 --> 0:39:07.040
<v Speaker 1>in that fashion or have not operated. So the government

0:39:07.160 --> 0:39:12.040
<v Speaker 1>mandated they called electronic clogging devices, which actually electronically monitor

0:39:12.320 --> 0:39:15.880
<v Speaker 1>the amount of hours driver drives and so it records

0:39:15.920 --> 0:39:20.480
<v Speaker 1>all that information. And so this everyone sort of expected

0:39:20.480 --> 0:39:25.080
<v Speaker 1>this massive churn of capacity. Uh. And because everybody thought, well,

0:39:25.080 --> 0:39:27.600
<v Speaker 1>this is going to you know, destroying a lot of

0:39:27.600 --> 0:39:30.719
<v Speaker 1>the available capacity in the market, and for a short term,

0:39:31.040 --> 0:39:35.080
<v Speaker 1>short time, it did. Uh. They're expecting that this would

0:39:35.200 --> 0:39:39.839
<v Speaker 1>create such a tightness in capacity that the rules would

0:39:39.840 --> 0:39:42.320
<v Speaker 1>be different this time. And this is something the industry

0:39:42.320 --> 0:39:44.640
<v Speaker 1>always say, is it's different this time. You'll hear this

0:39:44.760 --> 0:39:46.719
<v Speaker 1>a lot. People say that all the time. To me,

0:39:47.160 --> 0:39:48.840
<v Speaker 1>at this time, it's different. Well, I've heard that for

0:39:48.880 --> 0:39:50.759
<v Speaker 1>forty two years since I, you know, I grew up

0:39:50.760 --> 0:39:53.720
<v Speaker 1>in the industry. So I've heard that it's never different.

0:39:54.280 --> 0:39:57.360
<v Speaker 1>It's just the maybe the situation is different, but the

0:39:57.440 --> 0:40:00.080
<v Speaker 1>rules are always the same. And so the industry were

0:40:00.160 --> 0:40:03.400
<v Speaker 1>we ramped up a lot of capacity headed up to

0:40:03.440 --> 0:40:06.480
<v Speaker 1>the e L demand date. The L demand date happened,

0:40:07.120 --> 0:40:11.600
<v Speaker 1>and what they expected to happen was this massive contraction

0:40:11.640 --> 0:40:14.959
<v Speaker 1>and capacity. We actually saw the opposite. We actually saw

0:40:15.000 --> 0:40:18.840
<v Speaker 1>a building of capacity, and so there was a lot

0:40:18.920 --> 0:40:23.719
<v Speaker 1>of additional supply brought into the market over six to

0:40:23.840 --> 0:40:26.920
<v Speaker 1>nine months in two thousand eighteen. Now, at the time

0:40:27.000 --> 0:40:29.800
<v Speaker 1>in two thousand eighteen, there was a lot of industrial demand.

0:40:29.840 --> 0:40:32.760
<v Speaker 1>The industrial economy was doing quite well. This was post

0:40:32.920 --> 0:40:37.279
<v Speaker 1>Donald Trump's tax cuts. It was sort of you know,

0:40:37.360 --> 0:40:40.160
<v Speaker 1>the economy was doing really well. All of a sudden,

0:40:40.200 --> 0:40:43.160
<v Speaker 1>we had terrorists put in place in mid two thousand eighteen,

0:40:43.600 --> 0:40:47.719
<v Speaker 1>and we saw an industrial slowdown throughout the economy. And

0:40:47.800 --> 0:40:51.360
<v Speaker 1>so as the economy slowed down, the industry was still

0:40:51.400 --> 0:40:54.400
<v Speaker 1>building up capacity and they were continuing to build up

0:40:54.440 --> 0:40:58.080
<v Speaker 1>that capacity all the way until about the third quarter

0:40:58.719 --> 0:41:01.200
<v Speaker 1>or fourth quarter of two thousand and eighteen. And then

0:41:02.239 --> 0:41:05.399
<v Speaker 1>with the slowdown and the industrial economy at a time

0:41:05.440 --> 0:41:11.320
<v Speaker 1>and capacity had been overbuilt. This massive, massive UH issue

0:41:11.320 --> 0:41:15.400
<v Speaker 1>in two dozen nineteen where the market was oversupplied and

0:41:15.440 --> 0:41:17.759
<v Speaker 1>we saw a lot of bankruptcies. You know, we at

0:41:17.800 --> 0:41:22.760
<v Speaker 1>freight ways, we're covering probably for bankruptcies at one point

0:41:23.480 --> 0:41:26.520
<v Speaker 1>for bankruptcies a day where we would you know, and

0:41:26.560 --> 0:41:28.520
<v Speaker 1>some of them were big. There was a four thousand

0:41:28.760 --> 0:41:33.319
<v Speaker 1>Republican try that went out went out of business. New

0:41:33.320 --> 0:41:35.360
<v Speaker 1>England Motor Freight, which is a new York based LTL

0:41:35.400 --> 0:41:37.680
<v Speaker 1>Care went out of business. So you know, there's just

0:41:37.719 --> 0:41:41.080
<v Speaker 1>a lot of bankruptcies that happened in two nineteen because, uh,

0:41:41.120 --> 0:42:00.799
<v Speaker 1>these companies just couldn't survive it. So this sort of

0:42:00.800 --> 0:42:03.680
<v Speaker 1>gets back to the question that I asked earlier, But

0:42:03.920 --> 0:42:07.400
<v Speaker 1>is there anything that can be done in order to

0:42:07.680 --> 0:42:13.000
<v Speaker 1>balance out the industry from this boom bus cycle? No,

0:42:13.200 --> 0:42:16.800
<v Speaker 1>it is. It's classic economics and and so I mean, Tracy,

0:42:17.000 --> 0:42:19.560
<v Speaker 1>this is just the reality of it, and a lot

0:42:19.600 --> 0:42:22.799
<v Speaker 1>of people assume. And so I grew up. My dad,

0:42:23.320 --> 0:42:27.280
<v Speaker 1>uh started a trucking company, my uncle started a trucking company.

0:42:28.040 --> 0:42:32.600
<v Speaker 1>My grandfather was was in trucking. And so I've grown

0:42:32.680 --> 0:42:36.719
<v Speaker 1>up listening to my dad talk about the cycles. And

0:42:36.760 --> 0:42:40.360
<v Speaker 1>it's existed as far back as I can remember, uh,

0:42:40.440 --> 0:42:43.480
<v Speaker 1>these cycles. Uh, and so even you know, we have

0:42:43.560 --> 0:42:45.799
<v Speaker 1>something called the Hall of Fame at Freight Ways, which

0:42:45.840 --> 0:42:49.360
<v Speaker 1>is we cover stories about historical trucking companies for featured.

0:42:49.719 --> 0:42:52.080
<v Speaker 1>A lot of them are now out of business. Um,

0:42:52.120 --> 0:42:55.960
<v Speaker 1>if you go back to pre de regulation, so there

0:42:56.040 --> 0:42:58.400
<v Speaker 1>was a time when trucking was a great industry and

0:42:58.440 --> 0:43:00.959
<v Speaker 1>a great job and that was pred regulation. But when

0:43:01.239 --> 0:43:04.879
<v Speaker 1>the Carter administration deregulated trucking in the in the late

0:43:04.920 --> 0:43:08.680
<v Speaker 1>seventies along with the airlines and telecommunications sector when they

0:43:08.680 --> 0:43:12.360
<v Speaker 1>when they deregulated over you know, the during that period

0:43:12.360 --> 0:43:16.400
<v Speaker 1>of time, what ended up happening is that you saw

0:43:16.480 --> 0:43:20.319
<v Speaker 1>a massive drop in transportation costs send a GDP. But

0:43:20.400 --> 0:43:22.880
<v Speaker 1>what you also saw was this massive boom month cycle.

0:43:23.000 --> 0:43:25.160
<v Speaker 1>Rate used to be fixed, which means there was no

0:43:25.800 --> 0:43:29.040
<v Speaker 1>marketplace for rates. You have a fixed rate, you had

0:43:29.080 --> 0:43:32.320
<v Speaker 1>to file the tariff with the government, and only certain

0:43:32.400 --> 0:43:34.720
<v Speaker 1>carriers could bid on lanes. Very similar to the airline

0:43:34.719 --> 0:43:37.839
<v Speaker 1>whey the airlines work today, uh in terms of international

0:43:38.440 --> 0:43:41.600
<v Speaker 1>sort of you know, they restrict how many airlines could

0:43:41.600 --> 0:43:45.600
<v Speaker 1>fly internationally these routes um but pricing was also fixed

0:43:45.880 --> 0:43:48.759
<v Speaker 1>and and so for those reasons, it was a very

0:43:48.840 --> 0:43:52.960
<v Speaker 1>stable market. But when the government deregulated, it allowed a

0:43:53.000 --> 0:43:56.640
<v Speaker 1>lot of you know, just as massive sort of level

0:43:56.680 --> 0:43:58.640
<v Speaker 1>of altility that is going to be with us as

0:43:58.680 --> 0:44:01.080
<v Speaker 1>long as the economic cycle, which you know, as long

0:44:01.120 --> 0:44:04.480
<v Speaker 1>as as long as we're living a free ish market,

0:44:04.640 --> 0:44:07.239
<v Speaker 1>you always have that. Well, I have an idea to

0:44:07.640 --> 0:44:10.719
<v Speaker 1>stabilize the trucking market. And I'm gonna and tell me

0:44:10.760 --> 0:44:12.920
<v Speaker 1>why if it's ever been tried, and why it won't work.

0:44:12.960 --> 0:44:15.040
<v Speaker 1>I mean, I'm sure it won't work because someone would

0:44:15.040 --> 0:44:20.080
<v Speaker 1>have done it. But instead of Tracy starting a independent

0:44:20.239 --> 0:44:23.640
<v Speaker 1>truck driving company, why doesn't she start like a private

0:44:23.640 --> 0:44:27.759
<v Speaker 1>equity roll up that buys five thousand different trucking companies

0:44:28.239 --> 0:44:32.480
<v Speaker 1>and then create some really slick digital platform where so

0:44:32.560 --> 0:44:35.600
<v Speaker 1>that it's more than the Craigslist for trucking and give

0:44:35.680 --> 0:44:39.000
<v Speaker 1>repeat customers a nice break and try to like really

0:44:39.600 --> 0:44:43.080
<v Speaker 1>become the Marisk of trucking in some way. Why wouldn't

0:44:43.080 --> 0:44:46.160
<v Speaker 1>that work? Can I just say that my dream of

0:44:46.200 --> 0:44:49.320
<v Speaker 1>being a loan truck driver left to my own devices

0:44:49.360 --> 0:44:52.640
<v Speaker 1>has suddenly morphed into me becoming like a private equity

0:44:52.680 --> 0:44:56.960
<v Speaker 1>tycoon rulling over some sort of tech fuel to think

0:44:56.960 --> 0:44:59.560
<v Speaker 1>of a different approach that might be more sustainable. Okay,

0:44:59.600 --> 0:45:02.439
<v Speaker 1>go ahead, Tracy. You would be You would be far

0:45:02.880 --> 0:45:06.400
<v Speaker 1>happier being sitting on the financial side of the industry.

0:45:06.440 --> 0:45:09.440
<v Speaker 1>The driving and so like, it's hard work, and I

0:45:09.480 --> 0:45:11.880
<v Speaker 1>don't want to be dismissive to the drivers. It is

0:45:11.920 --> 0:45:14.600
<v Speaker 1>hard work and they know they keep the economy running.

0:45:14.760 --> 0:45:17.240
<v Speaker 1>And it can't be the first to have thought of that. Well,

0:45:17.280 --> 0:45:20.600
<v Speaker 1>you're not, but the track record of private equity roll

0:45:20.719 --> 0:45:24.280
<v Speaker 1>up is one that is not great. So we've seen

0:45:24.640 --> 0:45:27.359
<v Speaker 1>this tried. So there's really a couple of markets. You've

0:45:27.360 --> 0:45:29.839
<v Speaker 1>seen the l T L and parcel market. There's been

0:45:30.120 --> 0:45:33.799
<v Speaker 1>very successful roll ups in the LTL market, Brad Jacob said,

0:45:33.880 --> 0:45:37.439
<v Speaker 1>XPO has has rolled up a lot of the sort

0:45:37.440 --> 0:45:40.440
<v Speaker 1>of trucking entities UH in the l T L, UH

0:45:40.560 --> 0:45:43.640
<v Speaker 1>and fording market and has been very successful there. But

0:45:43.800 --> 0:45:46.920
<v Speaker 1>in the truckload market, the market that we've taught predominance

0:45:46.960 --> 0:45:50.800
<v Speaker 1>of today, that full truckload market where the vast majority

0:45:50.800 --> 0:45:54.560
<v Speaker 1>of capacity lives UM it is very difficult because it

0:45:54.640 --> 0:45:57.800
<v Speaker 1>takes someone who understands how to operate an entity, and

0:45:57.840 --> 0:46:00.319
<v Speaker 1>there are no there are no economies of scale. And

0:46:00.360 --> 0:46:04.200
<v Speaker 1>here's the reason is that drivers are the factor that

0:46:04.320 --> 0:46:06.759
<v Speaker 1>matter most and trucking and the problem is if you

0:46:06.800 --> 0:46:10.000
<v Speaker 1>start rolling up a bunch of companies, you have all

0:46:10.040 --> 0:46:13.120
<v Speaker 1>of these cultural issues and skill is not your friend

0:46:13.239 --> 0:46:16.120
<v Speaker 1>when you're dealing with human capital. And so as you

0:46:16.600 --> 0:46:21.480
<v Speaker 1>start to roll up entities, oftentimes the companies don't have

0:46:21.800 --> 0:46:27.160
<v Speaker 1>similar operating UH lanes, they don't have similar networks, they

0:46:27.200 --> 0:46:29.560
<v Speaker 1>don't even have similar equipment. And then you have the

0:46:29.640 --> 0:46:33.359
<v Speaker 1>human factor, which typically as you get bigger, you you

0:46:33.480 --> 0:46:37.600
<v Speaker 1>tend to have to have more strenuous requirements on who

0:46:37.680 --> 0:46:40.680
<v Speaker 1>you hire because your insurance companies will demand it because

0:46:40.680 --> 0:46:43.800
<v Speaker 1>you're now a much bigger target in a courtroom. It

0:46:43.960 --> 0:46:46.680
<v Speaker 1>just there are no economies of scale on size, and

0:46:46.719 --> 0:46:50.120
<v Speaker 1>so even the large public trucking companies that are private

0:46:50.160 --> 0:46:54.000
<v Speaker 1>for that matter, that have that are ran by operators,

0:46:54.520 --> 0:46:59.400
<v Speaker 1>their track record and doing big acquisitions is just not great.

0:47:00.080 --> 0:47:02.560
<v Speaker 1>There have been a couple that have been very successful

0:47:02.600 --> 0:47:05.600
<v Speaker 1>as a company out of Cannon called Transport, which is

0:47:05.680 --> 0:47:10.400
<v Speaker 1>probably the most successful acquire which does acquire companies and

0:47:10.440 --> 0:47:14.160
<v Speaker 1>has been successful sort of really operating them and then not.

0:47:14.440 --> 0:47:18.000
<v Speaker 1>Swift has also had a successful track record of buying

0:47:18.080 --> 0:47:23.200
<v Speaker 1>and acquiring, but those were exceptions with exceptional management teams.

0:47:23.280 --> 0:47:25.600
<v Speaker 1>But they're not private equity. So private equity has a

0:47:25.800 --> 0:47:30.920
<v Speaker 1>very very poor track record of acquiring companies. Oftentimes they

0:47:31.000 --> 0:47:33.000
<v Speaker 1>it ends up really really ugly for them because they

0:47:33.040 --> 0:47:35.040
<v Speaker 1>don't know how to operate it. They don't trucking is

0:47:35.080 --> 0:47:38.680
<v Speaker 1>an industry that they're constantly playing. You know, you're playing

0:47:38.680 --> 0:47:41.239
<v Speaker 1>defense on a constant basis because you're dealing with all

0:47:41.239 --> 0:47:43.040
<v Speaker 1>these factors that you have to deal with. When when

0:47:43.040 --> 0:47:45.439
<v Speaker 1>the market is good as it is right now, where

0:47:45.440 --> 0:47:48.320
<v Speaker 1>you would think trucking companies atret to bring really really great,

0:47:48.840 --> 0:47:51.719
<v Speaker 1>they're actually struggling because they can't find people to fill

0:47:51.719 --> 0:47:55.719
<v Speaker 1>their trucks. And so when markets are good, you have

0:47:55.800 --> 0:47:58.120
<v Speaker 1>a new set of problems, and so you go fix

0:47:58.160 --> 0:48:01.160
<v Speaker 1>those set of problems by and care seen driver salaries,

0:48:01.600 --> 0:48:04.160
<v Speaker 1>and all of a sudden you're and everyone else is

0:48:04.160 --> 0:48:06.600
<v Speaker 1>doing it, so you're constantly having to play catch up,

0:48:07.320 --> 0:48:10.840
<v Speaker 1>and then you're stuck with those higher salaries when the

0:48:10.840 --> 0:48:15.160
<v Speaker 1>market softens, and so it's just it's a very tough environment. Now,

0:48:15.400 --> 0:48:18.279
<v Speaker 1>there are other parts of the market, like what we

0:48:18.360 --> 0:48:22.640
<v Speaker 1>call freight brokerages, which there are sixteen thousand independent freight

0:48:22.640 --> 0:48:25.200
<v Speaker 1>brokers in the United States. These are effectively the day

0:48:25.200 --> 0:48:29.040
<v Speaker 1>traders of the market. If you ran a consumer products company,

0:48:29.320 --> 0:48:33.080
<v Speaker 1>you're probably using freight broker because that tends to be

0:48:33.120 --> 0:48:36.600
<v Speaker 1>where they They live a lot in that market. But

0:48:36.680 --> 0:48:38.839
<v Speaker 1>they are the intermediaries, and that's where all the money

0:48:38.880 --> 0:48:40.719
<v Speaker 1>that they don't own, the assets they don't have to build,

0:48:40.719 --> 0:48:42.360
<v Speaker 1>the drivers, they don't have to do with the insurance

0:48:42.400 --> 0:48:45.680
<v Speaker 1>typically and so for those reasons, they do quite well.

0:48:45.840 --> 0:48:49.680
<v Speaker 1>And there's it's been a very attractive private equity play,

0:48:49.800 --> 0:48:53.319
<v Speaker 1>but in trucking, asset based trucking, it's it is not

0:48:53.600 --> 0:48:56.120
<v Speaker 1>a good private equity play. There no return on assets,

0:48:56.320 --> 0:48:59.439
<v Speaker 1>and and for those reasons, it's just it's a really

0:48:59.520 --> 0:49:02.520
<v Speaker 1>nasty industry. Do you have to say? I find it so?

0:49:03.360 --> 0:49:07.080
<v Speaker 1>I find it so counterintuitive that for a logistics industry,

0:49:07.280 --> 0:49:10.960
<v Speaker 1>scale might not be the answer to all its problems.

0:49:11.000 --> 0:49:13.880
<v Speaker 1>Like you would think that if you could just like

0:49:14.080 --> 0:49:17.359
<v Speaker 1>increase size, increase the network, there would be some efficiencies there,

0:49:17.440 --> 0:49:21.239
<v Speaker 1>but it seems like you're suggesting that's not necessarily the case. Well,

0:49:21.320 --> 0:49:24.319
<v Speaker 1>just to add to Tracy's question, you know, like is

0:49:24.360 --> 0:49:28.520
<v Speaker 1>the difference between and it sounds like the difference between

0:49:28.600 --> 0:49:32.320
<v Speaker 1>say like trucking full truckload trucking that we're talking about

0:49:32.520 --> 0:49:36.320
<v Speaker 1>versus a UPS or fed X is really how taxing

0:49:36.840 --> 0:49:40.120
<v Speaker 1>the job is to the humans. Is that the key

0:49:40.160 --> 0:49:44.200
<v Speaker 1>difference there? Well, FedEx and UPS. We would never describe

0:49:44.239 --> 0:49:47.279
<v Speaker 1>FedEx as trucking companies, No, no, no, no, I just

0:49:47.320 --> 0:49:50.239
<v Speaker 1>mean in terms of like a national logistics company. Like

0:49:50.320 --> 0:49:54.680
<v Speaker 1>the reason why that type of logistics and package shipment

0:49:54.800 --> 0:49:58.600
<v Speaker 1>can scale nationally versus trucking where you don't get those scales.

0:49:58.960 --> 0:50:02.839
<v Speaker 1>It sounds like a big difference is how taxing it

0:50:02.880 --> 0:50:04.880
<v Speaker 1>is on the actual humans who have to do the

0:50:04.960 --> 0:50:10.240
<v Speaker 1>job that it's it's partially that, but it's also because

0:50:10.640 --> 0:50:15.080
<v Speaker 1>the parcel market, you know, FedEx and UPS have these

0:50:15.280 --> 0:50:20.320
<v Speaker 1>very sophisticated and very expensive physical networks that go beyond

0:50:20.400 --> 0:50:24.080
<v Speaker 1>just the trucks and the planes. They have physical warehouses

0:50:24.080 --> 0:50:29.040
<v Speaker 1>and sorting facilities, which affords some economis as a scale, like,

0:50:29.080 --> 0:50:32.680
<v Speaker 1>it's very difficult, and Amazon is certainly probably the only

0:50:32.719 --> 0:50:34.960
<v Speaker 1>company that can pull this off, or is trying to

0:50:34.960 --> 0:50:38.480
<v Speaker 1>pull this off, is to build this infrastructure of warehouses

0:50:38.480 --> 0:50:42.040
<v Speaker 1>and sorting centers and network to sort of rival FedEx

0:50:42.040 --> 0:50:46.239
<v Speaker 1>and UPS. Even DHL, you know the world's largest parcel company,

0:50:46.560 --> 0:50:50.040
<v Speaker 1>has struggled in the United States to compete against FedEx

0:50:50.040 --> 0:50:53.279
<v Speaker 1>and UPS because they're so entrenched. And those companies have

0:50:53.320 --> 0:50:57.200
<v Speaker 1>done exceptionally well, even with Amazon as a competitor, and

0:50:57.200 --> 0:50:59.759
<v Speaker 1>and and companies that have tried to, you know, like

0:50:59.800 --> 0:51:02.200
<v Speaker 1>the Jail that tried to come in the market. Truckload

0:51:02.280 --> 0:51:05.239
<v Speaker 1>is very different because it's a fungible commodity you know,

0:51:05.320 --> 0:51:09.640
<v Speaker 1>shippers don't really they have relationships, but most of the

0:51:09.680 --> 0:51:12.239
<v Speaker 1>freight moves based on rate UH. And that rate is

0:51:12.280 --> 0:51:14.200
<v Speaker 1>set by the conditions in the markets. When the market

0:51:14.280 --> 0:51:17.439
<v Speaker 1>is oversupplied, rates collapse. When the market is undersupplied, rates

0:51:17.440 --> 0:51:20.040
<v Speaker 1>shoot up. And there's always a rate that's available in

0:51:20.080 --> 0:51:22.360
<v Speaker 1>the market. You can always move your freight for the

0:51:22.440 --> 0:51:25.200
<v Speaker 1>right price. Even if that price is you know, a

0:51:25.280 --> 0:51:27.560
<v Speaker 1>hundred dollars a mile, you can find someone to do it.

0:51:27.680 --> 0:51:31.160
<v Speaker 1>So for those reasons, Um, it's it's just it's a

0:51:31.239 --> 0:51:35.799
<v Speaker 1>market that has these substantial booms about cycles uh, and

0:51:35.880 --> 0:51:40.040
<v Speaker 1>it's very difficult and doesn't allow for economs of scale. Now,

0:51:40.400 --> 0:51:42.279
<v Speaker 1>the reason you don't get a commis of scale come

0:51:42.320 --> 0:51:44.799
<v Speaker 1>down to the truck driver. That is the factor here.

0:51:45.320 --> 0:51:48.280
<v Speaker 1>And if we sort of fast forward to two thousand

0:51:48.360 --> 0:51:51.759
<v Speaker 1>and thirty five two forty, when we have autonomous or

0:51:51.800 --> 0:51:55.399
<v Speaker 1>driver lest trucks, that's when I think it's an attractive

0:51:55.760 --> 0:51:59.240
<v Speaker 1>industry for private equity. That's when it's an attractive industry

0:51:59.280 --> 0:52:02.640
<v Speaker 1>for technology g As you mentioned, Joe, why don't we

0:52:02.680 --> 0:52:06.560
<v Speaker 1>build a digital experience and marketplace and put it into

0:52:06.719 --> 0:52:10.600
<v Speaker 1>a private equity roll up. When we get there, when

0:52:10.600 --> 0:52:15.040
<v Speaker 1>we get to eliminating the driver as the factor in

0:52:15.440 --> 0:52:20.439
<v Speaker 1>the industry, that's when we will see big dollars into

0:52:20.480 --> 0:52:24.759
<v Speaker 1>the industry and private equity really make some significant plays. Um.

0:52:24.800 --> 0:52:27.000
<v Speaker 1>And frankly, a lot of the carriers that exist today

0:52:27.040 --> 0:52:30.680
<v Speaker 1>just won't survive that. H what is the state of that?

0:52:31.320 --> 0:52:37.399
<v Speaker 1>And like how much does the planning for that theoretical eventuality? Um,

0:52:37.480 --> 0:52:39.520
<v Speaker 1>how much is that affecting the industry today? And like

0:52:39.560 --> 0:52:41.279
<v Speaker 1>sort of like what are you watching there? Like how

0:52:41.320 --> 0:52:44.520
<v Speaker 1>realistic it is it? What's the time frame and what's

0:52:44.560 --> 0:52:49.040
<v Speaker 1>your what's your what's your sense of it? It's very speculative.

0:52:49.760 --> 0:52:54.200
<v Speaker 1>It has been a lot of InterCapital poured into autonomous driving.

0:52:55.040 --> 0:52:58.839
<v Speaker 1>There's been some facts that have gone public for autonomous

0:52:58.920 --> 0:53:02.200
<v Speaker 1>trucking service. Is there's a lot of reasons to be

0:53:02.280 --> 0:53:06.239
<v Speaker 1>bullish on the economics of autonomous talking for many of

0:53:06.280 --> 0:53:09.239
<v Speaker 1>the reasons I've talked about, eliminates the driver and sort

0:53:09.280 --> 0:53:11.080
<v Speaker 1>of the factor in the industry, and then you can

0:53:11.160 --> 0:53:14.640
<v Speaker 1>get economies of scale and you can optimize this this industry.

0:53:15.360 --> 0:53:19.200
<v Speaker 1>But it is is not a technological limitation. So if

0:53:19.200 --> 0:53:22.120
<v Speaker 1>you if you look at it, the technology will be here.

0:53:22.480 --> 0:53:25.880
<v Speaker 1>Autonomous driving and there are you know, around ports and

0:53:26.000 --> 0:53:30.600
<v Speaker 1>closed loop environments, there are autonomous trucking or autonomous freight

0:53:30.719 --> 0:53:34.200
<v Speaker 1>operations happening right now. The port of rodert m is

0:53:34.360 --> 0:53:39.520
<v Speaker 1>largely an automated or semi autonomous facility. You see the

0:53:39.560 --> 0:53:43.080
<v Speaker 1>ports in different parts of the world which have built

0:53:43.120 --> 0:53:46.040
<v Speaker 1>some level of autonomy. So we do see the ability

0:53:46.080 --> 0:53:48.799
<v Speaker 1>and the technology is certainly we're on the cusp of

0:53:48.840 --> 0:53:51.879
<v Speaker 1>having the technology to be able to do this. That's

0:53:51.880 --> 0:53:54.640
<v Speaker 1>not your issue. The issue is the regulatory environment. So

0:53:56.000 --> 0:53:59.759
<v Speaker 1>twenty nine in nine states, the number one job is

0:53:59.800 --> 0:54:07.040
<v Speaker 1>trying driving. And so when you create autonomy and that

0:54:07.160 --> 0:54:12.160
<v Speaker 1>autonomy allows a trucking company to haul freight without a driver,

0:54:13.239 --> 0:54:16.520
<v Speaker 1>then you put those jobs at risk. Those jobs happen

0:54:16.600 --> 0:54:20.440
<v Speaker 1>to be in red states, or the predominance of trucking

0:54:20.520 --> 0:54:23.240
<v Speaker 1>jobs happen to be in states that tend to vote

0:54:23.320 --> 0:54:28.080
<v Speaker 1>Republican or vote read and so an environment which would

0:54:28.120 --> 0:54:32.600
<v Speaker 1>you would expect to be pro business uh and support autonomy,

0:54:32.800 --> 0:54:35.319
<v Speaker 1>happens to be in states where a large percent of

0:54:35.320 --> 0:54:38.440
<v Speaker 1>the population or a represented percent of population have to

0:54:38.600 --> 0:54:41.040
<v Speaker 1>truck drivers. And so it's going to be a really

0:54:41.040 --> 0:54:43.840
<v Speaker 1>difficult thing. And if you just look at our government constructs.

0:54:43.880 --> 0:54:48.880
<v Speaker 1>We can't. You have to get the the state, municipalities,

0:54:49.120 --> 0:54:52.200
<v Speaker 1>and federal laws all to work together to allow point

0:54:52.200 --> 0:54:56.080
<v Speaker 1>to point autonomy, and we can't even make federal laws

0:54:56.680 --> 0:55:00.360
<v Speaker 1>with It's a very dysfunctional government. So for that to happen,

0:55:00.600 --> 0:55:02.880
<v Speaker 1>it just doesn't seem very likely in the next decade.

0:55:03.200 --> 0:55:07.120
<v Speaker 1>So I think autonomy we will see layers of autonomy,

0:55:07.200 --> 0:55:10.800
<v Speaker 1>highway only autonomy within the next decade, but point to

0:55:10.960 --> 0:55:15.440
<v Speaker 1>point being able to see a completely driverless Cavils truck

0:55:15.960 --> 0:55:21.000
<v Speaker 1>is probably twenty years out. Craig. I think that's a

0:55:21.040 --> 0:55:25.239
<v Speaker 1>great place to drop it. That was a fantastic conversation.

0:55:25.280 --> 0:55:29.520
<v Speaker 1>I learned so much and I really appreciate you coming up. Yeah,

0:55:29.560 --> 0:55:32.279
<v Speaker 1>I appreciate it. And Tracy, if you ever want to

0:55:32.880 --> 0:55:36.200
<v Speaker 1>drive a truck for a day, just let me know.

0:55:36.560 --> 0:55:39.440
<v Speaker 1>I will help make those arrangements. You can do a

0:55:39.440 --> 0:55:43.120
<v Speaker 1>whole episode in the truck. I would love to do that.

0:55:43.640 --> 0:55:45.920
<v Speaker 1>We're going to do you should do it. I'm going

0:55:46.000 --> 0:55:49.160
<v Speaker 1>to start thinking about my my trucking handle right now,

0:55:50.040 --> 0:55:52.520
<v Speaker 1>so let me know and I will make those radios. Yes,

0:55:54.160 --> 0:55:58.080
<v Speaker 1>thanks Craig, that was great, Thanks so much, all right, Tracy,

0:55:58.200 --> 0:56:13.040
<v Speaker 1>Thanks Jo Tracy, I kind of feel like, I know,

0:56:13.120 --> 0:56:15.520
<v Speaker 1>I so many people told us we had to talk

0:56:15.560 --> 0:56:19.279
<v Speaker 1>to Craig. Oh totally. That was a fascinating conversation, and

0:56:19.320 --> 0:56:21.440
<v Speaker 1>he was really good at digging into you know, I

0:56:21.520 --> 0:56:23.879
<v Speaker 1>kind of expected us to talk more about the truck

0:56:23.960 --> 0:56:27.440
<v Speaker 1>driver shortage and the experience of being a truck driver

0:56:27.640 --> 0:56:30.080
<v Speaker 1>and whether or not higher wages would solve the problem

0:56:30.120 --> 0:56:32.399
<v Speaker 1>and that sort of thing, but Craig was very good

0:56:32.440 --> 0:56:37.160
<v Speaker 1>at giving an industry level overview of how the entire

0:56:37.200 --> 0:56:41.080
<v Speaker 1>trucking landscape works. So that was great. Yeah, that was

0:56:41.120 --> 0:56:44.640
<v Speaker 1>really interesting. And obviously, like it's clear, like it's just

0:56:44.680 --> 0:56:47.200
<v Speaker 1>such a mess. I mean, the fact that like twenty nineteen,

0:56:47.840 --> 0:56:51.000
<v Speaker 1>which for the rest of the economy was I don't

0:56:51.000 --> 0:56:52.319
<v Speaker 1>think you know it was it was a good it

0:56:52.400 --> 0:56:54.880
<v Speaker 1>was a good year for the economy, and so the

0:56:54.920 --> 0:56:57.160
<v Speaker 1>fact that in what was what was a good year

0:56:57.280 --> 0:57:01.359
<v Speaker 1>for the U. S economy was the worst year for

0:57:01.480 --> 0:57:06.040
<v Speaker 1>truck driving bankruptcy since the Great Depression is just sort

0:57:06.040 --> 0:57:08.920
<v Speaker 1>of like an astonishing fact that speaks to how brutal

0:57:09.000 --> 0:57:13.600
<v Speaker 1>this area already was all going into the coronavirus crisis.

0:57:13.640 --> 0:57:15.719
<v Speaker 1>But this is the thing that I was sort of

0:57:15.760 --> 0:57:19.600
<v Speaker 1>trying to get to with the question about scale and logistics, Like,

0:57:19.680 --> 0:57:23.400
<v Speaker 1>it just seems so strange that industries that are all

0:57:23.440 --> 0:57:27.960
<v Speaker 1>about getting efficiently from point A to point B seem

0:57:28.080 --> 0:57:33.760
<v Speaker 1>to be so prone to their own idiosyncratic chaos and

0:57:34.040 --> 0:57:38.200
<v Speaker 1>you know, um problems. And I guess, I guess what

0:57:38.200 --> 0:57:41.080
<v Speaker 1>what we're learning from the entire past year is that

0:57:41.160 --> 0:57:45.000
<v Speaker 1>it's really hard to make forecasts. And the higher up

0:57:45.040 --> 0:57:48.280
<v Speaker 1>you go on the supply chain, or maybe the further

0:57:48.680 --> 0:57:51.720
<v Speaker 1>along you go on the supply chain, the more difficult

0:57:51.840 --> 0:57:54.280
<v Speaker 1>making those forecasts actually is because you have to take

0:57:54.320 --> 0:57:57.120
<v Speaker 1>into account more and more variables. And I feel like

0:57:57.640 --> 0:58:00.400
<v Speaker 1>logistics and transport sort of sit at the very very

0:58:00.600 --> 0:58:03.800
<v Speaker 1>end of the supply chain. They're the last step between

0:58:03.960 --> 0:58:07.640
<v Speaker 1>goods getting from you know, a factory or a shop

0:58:07.720 --> 0:58:10.959
<v Speaker 1>to an individual, and so I feel like for them,

0:58:11.120 --> 0:58:17.160
<v Speaker 1>it just becomes even more challenging to figure out future capacity,

0:58:17.200 --> 0:58:18.960
<v Speaker 1>and that seems to be one of the reasons for

0:58:19.040 --> 0:58:21.840
<v Speaker 1>getting these big booms and bus You know, it's so

0:58:21.920 --> 0:58:25.680
<v Speaker 1>interesting too, because from a market structure standpoint, like it

0:58:25.760 --> 0:58:28.280
<v Speaker 1>seems like the exact opposite of shipping, where it's like

0:58:28.280 --> 0:58:30.800
<v Speaker 1>there's like three or four big players and it's all

0:58:30.840 --> 0:58:33.360
<v Speaker 1>relationships and you've got to know the guy at marisk

0:58:33.800 --> 0:58:38.440
<v Speaker 1>in Copenhagen or whatever. Versus tens of thousands of trucking companies.

0:58:38.800 --> 0:58:41.320
<v Speaker 1>It's all just sort of done like on electronic message

0:58:41.320 --> 0:58:45.080
<v Speaker 1>boards that still resemble that still resemble Craigslist. But none

0:58:45.080 --> 0:58:48.800
<v Speaker 1>of them really seemed to like be none of them

0:58:48.840 --> 0:58:53.760
<v Speaker 1>feel like one solutions, like how you imagine things should

0:58:53.800 --> 0:58:56.520
<v Speaker 1>work in the modern era. No. Absolutely, it's sort of

0:58:56.560 --> 0:59:03.080
<v Speaker 1>like two different extremes of not one solutions. Yeah, but yeah, well,

0:59:03.240 --> 0:59:06.040
<v Speaker 1>we have to take Craig up on his truck driving offer.

0:59:06.080 --> 0:59:08.880
<v Speaker 1>I feel like that's the next stage. We're definitely taking

0:59:09.000 --> 0:59:11.200
<v Speaker 1>Craig up on that. All right, We're going truck driving,

0:59:11.360 --> 0:59:15.400
<v Speaker 1>and then we're taking a barge up the Mississippi. Yeah yeah, okay,

0:59:15.400 --> 0:59:19.600
<v Speaker 1>and then Coracle journeys next. It's like planes, trains and

0:59:19.640 --> 0:59:23.919
<v Speaker 1>automobiles with All Thoughts. Let's do it. Okay. This has

0:59:23.960 --> 0:59:27.400
<v Speaker 1>been another episode of the All Thoughts Podcast. I'm Tracy Alloway.

0:59:27.480 --> 0:59:30.960
<v Speaker 1>You can follow me on Twitter at Tracy Alloway and

0:59:31.000 --> 0:59:33.440
<v Speaker 1>I'm Joe Wisn't Thought. You can follow me on Twitter

0:59:33.560 --> 0:59:36.360
<v Speaker 1>at the Stalwart and be sure to follow our guests

0:59:36.440 --> 0:59:40.880
<v Speaker 1>on Twitter Craig Fuller He's at Freight Alley, and follow

0:59:40.880 --> 0:59:44.680
<v Speaker 1>our producer Laura Carlson. She's at Laura M. Carlson. Follow

0:59:44.720 --> 0:59:48.680
<v Speaker 1>the Bloomberg Head of podcast, Francesca Levi at Francesca Today,

0:59:48.800 --> 0:59:51.760
<v Speaker 1>and check out all of our podcast at Bloomberg onto

0:59:51.800 --> 1:00:19.240
<v Speaker 1>the handle at podcasts. Thanks for listening.