AI handles every quote in 30 seconds, humans move up the stack

NEW YORK, UNITED STATES — C.H. Robinson’s logistics agents took up to 20 minutes to complete 60% of customer shipping quotes — and handled none of them at 2 a.m.; an AI agent now handles 100% of those quotes in approximately 30 seconds, around the clock, Fortune reports.

C.H. Robinson’s AI agents freed humans for higher-value customer work

“We will have humans doing contact with customers, solving customers problems, and going up the value stack to really get their minds to work. Agents are doing a lot of that upfront work,” said Dave Bozeman, Chief Executive of C.H. Robinson.

The freight broker has deployed more than 30 specialized logistics automation tools and executed millions of shipping tasks over the past year, with its stock up more than 100%.

C.H. Robinson has 450 software engineers and data scientists in-house, and Bozeman said the company has “gotten its swagger back” by embracing AI — describing a shift from defending market position to actively disrupting the logistics sector.

Physical work is next: humanoid robots targeting injury-prone tasks

“It’s repetitive. It’s mind-numbing. It’s injury-prone,” said Peggy Johnson, Chief Executive of Agility Robotics, describing the warehouse tasks her company’s humanoid robots are designed to take over.

Agility Robotics’ robots weigh more than 150 pounds and can navigate factory floors in ways that wheeled alternatives cannot.

Both executives argued that the immediate future of AI belongs to task augmentation — shifting human workers toward judgment, customer contact, and problem-solving rather than replacing them wholesale.

Johnson noted that wheeled robots become “tippy when lifting heavy objects,” a limitation that humanoid form factors are built to address.

The executives’ shared thesis at Brainstorm Tech: AI handles volume and repetition; humans handle relationships and exceptions.

C.H. Robinson’s model — AI-driven automation absorbing transactional quoting volume, humans redirected to customer problem-solving — is an operational blueprint that applies to any high-volume service environment where transactional work currently crowds out relationship work.

For BPO and offshore service providers, the C.H. Robinson case is a working proof of concept — the shift from 60% quote completion in 20 minutes to 100% in 30 seconds is the productivity gain BPO firms can replicate across any transactional service line — financial processing, customer support, document handling, logistics coordination.

Providers that implement this model compress their cost base and free human teams for higher-value client work, creating a gap that manually-operated peers cannot close without the same AI investment.