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Investor Event Transcript

C. H. Robinson Worldwide, Inc. (CHRW)

Investor Event Transcript 2026-03-31 For: 2026-03-31
Added on July 07, 2026

Conference Transcript - CHRW 2026-03-03

David Hicks, Analyst — Raymond James

Okay, let's go ahead and get started with the next presentation. For those that don't know me, I'm Associate Analyst of Transportation here at Raymond James, David Hicks, and today we have the pleasure, this afternoon, I have the pleasure of having C.H. Robinson with us, the CEO, Dave Bozeman, and then CFO, Damon Lee, with us today. So I think a lot of people in the room know who C.H. Robinson is, but Dave, maybe just give us kind of a high-level overview of kind of the markets you play into, what you guys do, just to kick us off.

Dave Bozeman, CEO

Yeah, sure. Thanks, David. Thanks for having us here. Just to start off, C.H. Robinson is one of the larger global logistics solution firms in the world, really driving in the 3PL space. And for those of you who don't know that, it's a two-sided marketplace space. And just to give you the numbers, first of all, we do 37 million shipments annually. We have about $23 billion of freight under management, and we play in this kind of two-sided marketplace of carrier relationships on one side, that's capacity. On the other side would be shipper or customer, that's the demand side. And we have over 450,000 carrier relationships, 75,000 customers. We pit those two together, giving the carriers access to a broad base of freight, and we give the shippers access to a broad network of carriers, giving them a good price advantage as well. Our goal is to play in four core modes. That's truckload, LTL, ocean, and air. That's really where we focus ourselves as a company. And then when you think about our strategy, it's been pretty simple. It's been about really kind of growing, outgrowing the market, or growing or taking market share, while also expanding our margins overall. That's been kind of our strategy as a company in doing that, and we'll get into talking about that. We've been pretty successful at doing that, at changing over the last three years or so in driving what we call lean AI it's our our new lean operating model but it's really combined with our logisticians which are are really some of the most experienced logisticians in the world our technology which we'll talk about which is AI technology as well as our operating model those three kind of drive what we call lean AI and they work um symbiotic uh as a relationship uh and that has allowed us to really um outpace outperform the um the industry uh in the last uh several quarters uh eight to eleven quarters in outpacing um the industry here we feel really good about that it's early innings for us in this transformation uh we're we're in the second inning or so and have a lot more to do and we can get into that but that's the company overall uh this is damon lee anything you add to that that opening

David Hicks, Analyst — Raymond James

nope well said great great overview dave maybe just level set before we talk into to the to your story you have a lot going on in your story but maybe just talk about what you're seeing in the freight markets right now we've been in a freight recession three and a half years but the last six months it looks like things are starting to kind of perk up mainly on the supply side demand still kind of languishing but maybe just give us some thoughts on the market kind of before we dive

Damon J. Lee, CFO

into your story yeah i'll start dave jump in uh if you want to add any color of context but look i'd say start with demand i think it is more of the same right i think there's certainly been a little bit of excitement around some some macro indicators but uh i think it's been um you know yet to show up in in freight demand yet right i mean certainly cas index was you know down minus seven percent again for the month of uh month of january so i think even though there's some talks of green shoots i think you know those have yet to be yet to be seen uh on the cost side we we have had disruptions from a cost perspective if if you go back to q4 i think that's really where the cost curve started to to elevate certainly between thanksgiving and the end of into december that five-week period of time you know we did see a material increase in in cost right i think certainly brought on by you know three winter storms that affected a large portion of the country those three winter storms were essentially on on each other's tail so they happened in in sequence um you had your traditional capacity crunch during the holiday period uh and then you had the stacking effect of the various regulatory enforcement actions so i think all of that led to you know um a heightened environment to drive costs higher and you know certainly um you know as we say often we're not immune to the market but we do hold ourselves to a very high standard and you know we think we performed extremely well in q4 both from a gross margin perspective an operating margin perspective and an outgrowth perspective and a very difficult cost cost environment and what i would say is that cost environment continues into q1 right certainly we mentioned during our q4 earnings call that uh that cost pressure had continued into uh the month of january and it has continued into the uh to the month of february as uh as well so certainly the the The cost pressures realized in Q4 will certainly have a meaningful impact on Q1 from the industry perspective as well.

Dave Bozeman, CEO

Yeah, I think that's well said. And just to add a little bit of color on the demand side, for those of you who are more generalists on this, you know, we look at demand that what drives freight, and those are really three or four things as manufacturing, retail, housing. You could break that out and really say automotive. I kind of can put that under manufacturing as well. But, you know, those components are really what would drive freight. And if you, why Damon said that, if you're thinking about those, the housing side, to retail, to manufacturing, that's all been somewhat muted and not up and to the right yet. And we certainly are looking for that to happen as you start to drive an inflection. But just to give a little bit of color on that.

David Hicks, Analyst — Raymond James

Okay, that sets the stage really well. Let's dive into the story. But before we get into that, Dave, I want to talk about culture. I think it's a very underappreciated aspect of your story. You're the first, I believe you're the first outsider CEO at Robinson. And you have these lean operating principles that we've never seen in brokerage before. You bring in Damon a year and a half ago. Can you just talk about kind of how that culture shift has happened when you came into the company a little under three years ago?

Dave Bozeman, CEO

Yeah, thanks, David. I know it was different for a number of you. I've met you, it's been almost three years, a number of you in a room, and you've gotten to know me as well. It's different for the industry, but Lean is not different. Lean is transferable to any industry. And all we did was, I've been doing Lean for almost 30 years and just brought that into this company, a 120-year company, and into an industry that it makes a marked difference in doing that. And culturally, it was something that what we do at Robinson, we're radically transparent with our employees. Two, we do diagnosis like we did. And three, you have to solve problems. And what we found in our company is that we kind of admired problems more so than fixed problems. And that was something we were going to change. And so we no longer admire problems. We fix problems. And that's a key tenet of lean, problem identification and problem solving. And when you look at our culture now, it is one that's built on these lean principles. and people who have been in industries for over 20 years have now learned tools that help drive this problem identification and problem solutioning and that has ultimately driven our speed our speed to development our speed to creation now with technology that has now supercharged what we're doing and the culture is a culture that really likes winning again they like getting their swagger back it's a company that has grit and hustle but it also likes to win and I think lean and bringing in the lean operating model has tremendously helped our culture and again we're baby steps in this I've seen this for a long time and we are early on in the journey so a lot a lot to go and I'm proud of how the team has accepted this transformation so that great overview and

David Hicks, Analyst — Raymond James

And before you got there, CH had really overhired during the pandemic, brought on a lot of volumes, but also brought on a lot of people. I always like to frame it for investors is that you came in with your lean methodology. It was kind of like the Ozempic that you guys needed to really get back on track. And now you're layering in AI, kind of packing on the muscle, if you will. Can you maybe break down kind of you've increased productivity, double digits the last couple of years, over 40 percent? can you maybe just break down kind of what's been on the lean front and what's been on the AI front

Dave Bozeman, CEO

that have really driven the changes yeah I'll start I'll have Damon jump in as well like we get that question and I I usually kind of reframe that that question like we I would normally start David I really like you right and it's like but I normally would say I don't know right on doing that but I want to give some context to that because we don't we don't look at that um as as as separate these are not series like it's not like uh hey how much for technology and how much for lean that's not really the way it works it's symbiotic and they all work um together right our our people the operating model and technology all works together in driving that i will say this if if you think i don't care what industry you're in if you think you can just do like a technology by itself we don't think that that works right you have to have a conduit and that conduit is an operating model that drives accountability responsibility visibility speed and creation and you and you're always ideating and driving velocity on doing that that's you know we don't have enough time to kind of go into the to the depths of that but but it drives with our technology together and so that productivity um you know we don't break it down we say hey in the next few months we'll have more productivity and that productivity is driven off of our operating reviews and what we do and it happens to just be part of it i don't know if

Damon J. Lee, CFO

you'd add i would just add a couple things i'd say um you know from a lean operating model perspective i mean the reason we are implementing agentic ai today as a step function improvement from gen ai in ch robinson is based on something that was born out of the operating model right we were in an operating review in a pd environment or policy deployment this is really strategic initiatives challenging our technology teams challenging our business teams how are you going to get to where we're performing today to where we need to perform tomorrow um they didn't have have the answer, right? So they got a 48-hour, you know, request to go find, you know, find answers and options to close the gap, right? And Mike Neal, our CTO, came back and said, look, it's early days, but there's an evolving AI technology called Agentic. Now, mind you, this was 15 months ago, right? I mean, Agentic hadn't even made the headlines yet, right? Nobody was talking about Agentic yet. 120-year-old logistics company was already starting to experiment with it and operationalize it for our business. That would not have happened on the timescale that it happened. Maybe never, if not for the operating model, right? The operating model, the lean principles drives you to get better every single day, every single week, every single month. And we truly believe the companies that are going to be successful in AI adoption and truly drive sustainable productivity benefits, sustainable revenue growth, sustainable margin expansion, will only be able to do that on the back of a conduit, like Dave said, like lean, right? We believe that's the magic sauce for doing AI right going forward. It's a combination of lean operating model and cutting-edge technology, which we've been deploying now for over two years. So we believe, as Dave mentioned, they're symbiotic. We get the question a lot to the decimal place, how much your productivity is from the operating model versus tech? The answer is we truly don't know because you can't separate the impact

Dave Bozeman, CEO

the two of those items within the company. I'll just put a bow on that too. I mean, it's pretty cool to see people who have been in the industry like 20, 25 years. Like it's a lot of people in the room that knows what that looks like. And you have folks who have, they're walking in now and they're starting on meeting like, hey, I'm about to talk to you about my primary, secondary, and tertiary Pareto charts on solving this problem. Like they can't unlearn that tool. and they're excited about it they're pumped about it and and that's that's the operating model and what it's driving because they know is every person every day some small improvement which is why we committed to single digit productivity improvements in this company evergreen no matter what i don't care if it's a hot market inflection we will commit to single digit productivity improvement every year. There's going to be times when we run across like an agentic technology where we'll have double-digit productivities like this year. We initially committed to single-digit, now we'll be double-digit productivity gain this year because things like that are going to happen along this journey. But that's the mentality, David, in driving it. I'll just add one more thing.

Damon J. Lee, CFO

This is one of our favorite questions, so I have to opine a little bit on it. But I honestly don't know how a company would deploy AI the way we've deployed without the lean operating model, right? Because I think, you know, we call it hobby AI spend, where you kind of spend on AI. It may be a shiny object, it may have a cool interface, but it doesn't actually drive business benefit, doesn't drive revenue growth, doesn't drive margin expansion, doesn't drive productivity, right? That's what we call hobby AI. Without an operating model that drives you to value stream analysis that says, here's my opportunity to remove waste, and here's my opportunity to supercharge some revenue component in my business, without a conduit that steers that type of behavior, I think you're shooting in the dark on how you implement AI. And that's why we think it's so impactful to combine the operating model plus AI, what we call Lean AI, because without the delivery mechanism, and we believe Lean is the delivery mechanism, we think most companies will sub-optimize the way they implement AI within their companies.

David Hicks, Analyst — Raymond James

and i think great great on the lean side but maybe let's go to the ai side um i think one of the most amazing things that you've come out on at the ai side is that you were only able to handle 65 of quotes and now you can handle 100 100 at 30 to 40 times the speed and that speed to market from call it 17 minutes down to 30 30 some odd seconds has been a game changer can maybe has that played out or is there still more room and that's going to continue to compound in the

Dave Bozeman, CEO

years ahead yeah no it's it's played out and it's it's just but one example I mean our quoting agent we're really proud about that and you're right 17 20 minutes down to 32 seconds 31 seconds now every second counts um but but the key thing uh is is this in this industry time is money And when you're getting things in 24-7, like quotes come in, you know, if you don't get to them, that's a lost opportunity. And so having this agent actually respond at 100% of the quotes, that is more opportunity. It allows us to win more freight. It allows us to have that option to do it. Now, we could have gone and used examples of agents that we just launched, like the LTL reschedule agent, which was a pain in this industry about rescheduling. If anyone knows that pain, it's there. This agent has really now eliminated overnight, you know, 350 hours of work, manual work, to go and do these kind of reschedules. I mean, and we have appointment examples, as well as, you know, a number of other agents that are working the order-to-cash process and taking that friction out. That's what this is about, is changing the workflow, taking the friction out of the workflow of order-to-cash, and that's where you drive that productivity.

Damon J. Lee, CFO

Yeah, and that one example that we led with, it's our agent that does our request for freight quoting. So AI typically gets lumped in with productivity. And I'd argue there's few companies that are generating real productivity. But typically, AI gets associated with productivity. That one agent generates incremental revenue, expands our gross margins, so better pricing. So we optimize our price, optimize our cost to hire, and it drives productivity. And oh, by the way, the customer benefits on three levels, right? Before, a third of the time they were reaching out to C.H. Robinson on the NAS side of the business, either they weren't getting a response or the response came too late so that's not customer satisfaction today they get a response 100 of the time okay second is our win rates gone up because the sophistication level of of our quote has gone up as well so we're a shipper wanted robinson to carry their freight and in the past we probably gave them an unsophisticated quote because we didn't have time to give them a sophisticated quote they went with somebody else because we could meet the criteria of the quote, right? So there again, customer satisfied because we are able to give them a sophisticated quote that more times now we win that freight than we would have before. But to me, the astonishing figure in that example is one third of the universe of freight that was coming our way from a NAS perspective, we didn't have an opportunity to win. Today, we have an opportunity to win that third of freight, all that freight now, 100% of that freight, right? To me, that's been a demonstrable impact on our business. But when you think about AI, it's just not limited to productivity. It can facilitate revenue growth. It can facilitate margin expansion. It can facilitate productivity. And it can drive customer satisfaction at the

David Hicks, Analyst — Raymond James

same time, if done correctly. And I think what makes you guys different is we have every company here is talking about AI. But can you maybe talk about what you're doing externally, buying from vendor say and versus building internally and kind of how important your data is as the largest freight broker in North America to kind of feeding those agents and feeding those models yeah I think

Dave Bozeman, CEO

well first of all we talk about competitive modes one of the competitive modes we have is our domain expertise and that is we have internal engineers we talk about 450 engineers data scientists that that actually build our technology. Now we sit on our hyperscaler is Microsoft with Azure but our engineers build our technology and we're able to use the various large language models that come out. The beauty of it is there's this question in the industry right now that says, who's benefiting from AI, from all of this investment that's up the stack that's driving these models, who's benefiting from that? Well, we raise our hand up and say, we're benefiting from it because the cost of those models continue to come down and we're able to use all of those models. I don't care if it's Claude or OpenAI or whatever, the technology team has done a wonderful job at being able to do that. And in fact, we switched between those large language models based on cost and effectivity. And what we're doing, I just told somebody in a meeting here, I mean, we're doing some pretty cool stuff, but we're not exactly doing genealogy. So the compute power that we need, I mean, we can use a two-year-old model and be just fine. And our team monitors that all the time for the better economics. So we're doing that. We would not be able to do that if we were a buy culture, but we are a build culture. We built Navisphere, which is our internal TMS, and we built our overall bespoke solutions based on these large language models and the various agents that our engineers built. And our engineers grew up in the business. So you're talking about engineers that know freight, that know global forwarding, and they're building agents and having a blast right now at building these agents because they actually know that. And if you were going to go and try to replicate this, it would really take you 15 to 20 things that you had to stitch together, get an integrator to help, pay by the drink. That's a lot of headwind on margin. So it's really kind of tough to do a lot of replication. Not that it can't happen, but we're just saying that internal capability is an advantage, we think, in a competitive mode.

Damon J. Lee, CFO

Yeah, we think build versus buy is a critical differentiator for Robinson versus the marketplace. Dave just mentioned, right, our team estimates you would have to partner with 15 to 20 different vendors to try to replicate the ecosystem that we built. Right. Can you imagine that? Right. 15 to 20 vendors. Then you'd have to hire somebody to orchestrate all those vendors. And even if you got that right, you're still paying for generic AI solutioning for very specific company problems. Today, we build our own agents, right? So we build agents that are custom to solve custom solutions within Robinson, right? We're not trying to fit a generic solution set with a C.H. Robinson power. We build agents to solve our own problems, right? That is very difficult to get that same value if you're buying tech off the shelf. And then the cost curve, we believe, is a huge competitive advantage. Once we build an agent, the marginal cost of ownership for that agent, very close to zero. We're just playing for tokens. If you're buying an agent off the shelf, you're going to pay for that agent forever by the drink. And if you're stacking up agents that you're buying off the shelf, we truly believe that for most companies, an off-the-shelf approach to AI solutioning will actually be a cost adder versus a productivity benefit for the life of that company. So we truly believe build versus buy is a critical advantage for C.H. Robinson. And data is critically important for AI, but also is context, right? And we truly believe you'll never get the optimal context with an agent unless you build it, right? We truly believe that's a competitive advantage that we have at C.H. Robinson.

Dave Bozeman, CEO

And, David, you did say at the end about data. We do have the largest data set in the industry. That data set informs us, allows us to really drive fantastic pricing algorithms. And I always try to remind people that data is not just on things that you win. You get data on loads that you lose. And so over time, we have over a trillion data points that come in because we're able to use that to help inform and educate.

David Hicks, Analyst — Raymond James

Okay, so we've talked a lot of the financial performance we've seen is a nest on the productivity front. But you also have, call it 20% of your business is in forwarding. Is there kind of a lag where you're taking those learnings from NAST into forwarding? When are those kind of going to start to shine through the results?

Dave Bozeman, CEO

Yeah, I'd say, first of all, it was purposeful and very much an intent for us to focus on NAST from a technology perspective. The operating model itself goes across our entire company. So if you think about it, global forwarding, which we love that business, it's not in the number one position like NAS, but it punches above its weight. You think about last year, it grew each quarter while dropping expenses. That was on the back of the operating model. So it has some of the best quality that it has historically within that business. But now that we've had NASA on our focus, we're now going to focus on global forwarding with our technology stack to do some of the same things that we were doing for NASA. We're more excited, as Damon said earlier, that we're actually going to be bringing in agentic technology into global forwarding. Why? Because global forwarding is super complicated for most in the room. A lot of handoffs, a lot of things to really drive a quote within global forwarding. And because of time, I'll just kind of go to this. At the end of the day, you have agentic technology will allow us to get data off system, which is what you need in global forwarding. And we're really excited that building those agents that help us do that, that's going to really drive some of the similar results that you saw in NAST. And we're super excited about it, from quoting to a number of other things that we talked about.

Damon J. Lee, CFO

Yeah, and I would say we're still in the early innings of our tech realization in NAST, right? So, I mean, there's, you know, the entire universe of what we're looking to drive efficiency to is quote-to-cash. And we've only automated a fraction of thousands of processes that make up that universal business model, right? And so we're just getting started on NAST. We are starting to index that tech stack over to global forwarding. But both sides of C.H. Robinson, both of our large businesses, have tremendous runway to go on tech optimization.

David Hicks, Analyst — Raymond James

Okay, great. And then we only have a few more minutes left, so let's maybe talk about capital allocation, Damon. You guys have a stellar balance sheet, net leverage below target, haven't been that acquisitive on M&A. So highly generative free cash flow model, asset light business. So where are you going to position that cash?

Damon J. Lee, CFO

Yeah, good question. I'll clarify one thing. We may not have bought anyone at scale, but we're very inquisitive. I'd say we're more inquisitive today than we've probably been in the last 15 years, right? So we're kicking the tires on opportunities all the time, right? We're just not going to make a mistake, right? Our approach to M&A is going to be extremely disciplined. And, you know, it will be the right company we buy, you know, and it could be a traditional broker like ourselves, or it could be a tuck in that that brings technology or capability that that we think enhances our enterprise capabilities today. But we're we're very inquisitive today. Now, from a capital allocation perspective, certainly we have an investment grade balance sheet. maintaining that balance sheet is is critical importance to us uh we're a dividend aristocrat maintaining that status is uh is critically important to us uh and look we we have the benefit of having an extremely deep funnel of organic opportunities within the four walls of ch robinson so everything we've demonstrated the last two years uh is just getting started right we have a very robust funnel of organic opportunities that certainly get a priority from a capital allocation perspective, from a funding perspective. And we don't turn away any good idea, right? We're almost at a four-year freight recession. We've continued to fund all of our organic ideas throughout this challenging time for the industry. We've been an active buyer of our own stock, right? We think at current valuation levels, we think buying Robinson stock at current levels is a great decision for capital allocation. We say often that we believe the next two years will be more exciting than the last two years have been for C.H. Robinson, and we're putting our capital where our words are. And then lastly, what I led with, which is, you know, when the right acquisition comes along, we will pull the trigger. It's just we will be dissembled, we will be measured in our approach to M&A.

David Hicks, Analyst — Raymond James

Okay, great. I think that's a great point to end on. Thank you, Dave and Damon. All right. Thank you. Appreciate it, guys.