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C.H. Robinson executive highlights promise of generative AI in logistics

At Future of Supply Chain, Orth likens technology to swivel chairs and advent of APIs

Megan Orth of C.H. Robinson speaks with Daniel Pickett of FreightWaves at the Future of Supply Chain gathering in Atlanta. (Photo: Jim Allen/FreightWaves)

ATLANTA — With AI in general and generative AI in particular the talk of the FreightWaves Future of Supply Chain event, Megan Orth of C.H. Robinson reached for several analogies to describe generative AI’s use at her freight brokerage and in logistics generally.

“It’s kind of like APIs 10 years ago,” Orth said, referring to application programming interfaces, which allow different types of software to communicate with each other.

When APIs first emerged, Orth — senior director of commercial connectivity at C.H. Robinson — said she wondered, “Is this a buzzword? Is this really going to work?”

Reflecting on the decade since then, she said, “It did change our industry.” She cited real-time truckload rates and tracking appointments as productivity gains enabled by APIs.


“So when I think of AI, I think the same thing,” Orth told Daniel Pickett, FreightWaves chief data and technology officer, in a fireside chat Wednesday. “There are going to be very specific use cases that are going to help us crack some problems that we’ve just never been able to crack.”

Interns and swivel chairs

Another analogy Orth used for GenAI: “intern.” That’s the internal term at C.H. Robinson (NASDAQ: CHRW) that is often informally used to describe its capabilities. 

“Think of this as your summer intern,” she said. “So you can go on vacation, but you’ve got to train it.” An intern can’t step in and do everything on day one, and neither can a generative AI tool, according to Orth; it needs to be trained.

“So that’s how we’ve been simplifying the message to our employees that this is something that will help you long term and that the intern will get really smart like an employee,” Orth said.


Orth also likened the technology to the swivel chair. She portrayed a typical C.H. Robinson employee as sitting in a swivel chair, moving to the left to get a piece of data, moving to the right to get a different piece of data and so on. “But you can use AI to bring this all together, and we’re trying to eliminate swivel chairs,” she said.

C.H. Robinson has been under pressure in its bottom line and its operations; it ousted its CEO right at the start of 2023, reportedly in part because company directors believe the 3PL’s technology was lagging.

New CEO Dave Bozeman has talked often about technology having a greater role at C.H. Robinson. That seemed to start paying off in the first quarter of this year when C.H. Robinson outperformed expectations and its stock price climbed in response.

Orth is at the front line of that effort, and her talk Wednesday was not just about generative AI’s theoretical uses but how C.H. Robinson has adopted it already.

Generative AI use at C.H. Robinson is “out of the lab,” she said, after “a lot of testing.”

She described a process in which testing certain applications of generative AI would begin with one or two customers and gradually ratchet up to 20. The customers whose use cases were part of the initiative were told that “you’re going to stay in this for three to four weeks, and then you give us a thumbs up.”

Orth said she considers C.H. Robinson “a front-runner in this space.”

“There are people who are getting gen AI to scale right, like us, and there are people who truly just don’t believe in it,” she said.


But Orth sought to drive home the point that generative AI is not just a technology. “A lot of it is behavioral,” she said, and that requires that it not be a technology initiative in which the company’s tech team is calling most of the shots.

“Make sure your business is represented,” Orth said. “If you just have your data scientists and tech team go in and do this, it’s not going to be successful. You have to have the different aspects of the business represented there.”

That helps ensure a proper “feedback loop,” Orth said. And that loop is something the developers at C.H. Robinson didn’t fully think about at the beginning of the process. “But it ultimately becomes important as we scale, because as we scaled, we needed that feedback,” Orth said.

That feedback can then be added to the generative AI, too. That process is not like changing code, Orth said. It’s more real time. “You need to keep feeding the model; we’ll deploy new models and then it will work,” she said. 

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5 Comments

  1. Joe Shmo

    “Think of this as your summer intern,” she said. “So you can go on vacation, but you’ve got to train it.” An intern can’t step in and do everything on day one, and neither can a generative AI tool, according to Orth; it needs to be trained.

    Spoiler Alert: Your vacation will be permanent.

  2. Lute Diaz

    These office executives are missing the mark. Transportation is base on human labor. Especially the truck drivers. You can have all the AI and spin it to make a great selling point but it will not manifest itself to do the actual work. We are ages away from such a reality. Pay the people what they are worth and the work will get done. Paper pushing has not changed in the past couple of decades.

  3. Harry Johnson

    “It’s kind of like APIs 10 years ago,” Orth said

    APIs have seen wide commercial use since the early 2000s. Just another know-nothing “tech leader.”

  4. Mad Employee

    Numerous tenured employees were fired on the spot this week. They stated they’re eliminating their positions and downsizing. Many of these people had been there 10-25 years. They do not care about their employees. They did not offer them alternative positions. Instead they are hiring new people from a temp agencies so they don’t have to give them benefits. Then they don’t convert them to an employee which leaves them without any benefits. Al is going to be taking everyone’s jobs and putting more money in the CEO’s pocket.

Comments are closed.

John Kingston

John has an almost 40-year career covering commodities, most of the time at S&P Global Platts. He created the Dated Brent benchmark, now the world’s most important crude oil marker. He was Director of Oil, Director of News, the editor in chief of Platts Oilgram News and the “talking head” for Platts on numerous media outlets, including CNBC, Fox Business and Canada’s BNN. He covered metals before joining Platts and then spent a year running Platts’ metals business as well. He was awarded the International Association of Energy Economics Award for Excellence in Written Journalism in 2015. In 2010, he won two Corporate Achievement Awards from McGraw-Hill, an extremely rare accomplishment, one for steering coverage of the BP Deepwater Horizon disaster and the other for the launch of a public affairs television show, Platts Energy Week.