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Every company has an AI story. Few have real-world wins.
Fresh produce doesn’t wait. It doesn’t sit politely in a warehouse for weeks and it doesn’t forgive poor planning. Every hour counts and any delay can mean lost revenue, wasted product, and disappointed customers. Whether it’s tomatoes for Subway or blooming onions for Outback Steakhouse, Robinson Fresh must ensure that each individual order arrives on time, and in the right quantities.
Like any new technology, agentic artificial intelligence has a dizzying array of potential applications. My job is to make sure that out of everything we could do with AI, we’re doing what we should do with AI.
Management highlighted the company’s disciplined, Lean AI-driven transformation and its emergence as a technology-forward logistics leader
Two years ago, C.H. Robinson was facing one of the toughest freight markets in decades. As volumes fell and margins tightened, the company needed more than efficiency. It needed a transformation. When Dave Bozeman became CEO in 2023, he made it clear that sustainable performance would come from faster problem-solving, rigorous measurement and sharper execution.
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That’s why C.H. Robinson has a team of 450 engineers writing their own AI applications. They are the source of the 30 agentic AI tools cited by Damon Lee, Chief Financial Officer at C.H. Robinson. “We’re using bespoke customized AI solutions to drive demonstrable business results,” Lee said.
“While none of those factors individually would put much of a dent in trucking capacity, together they exert more pressure on the owner-operators that make up the majority of U.S. trucking firms and may deter new owner-operators from entering the business,” said Michael Castagnetto, NAST president at C.H. Robinson.
“Visibility is critical,” emphasized Rob Kinsella, Director within C.H. Robinson’s North American Surface Transportation division. “Knowing where every item is, and having confidence in that data, is what enables retailers to react when it matters most.”
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