CH Robinson is deploying AI agents to recommend freight routes, prepare quotes and process ocean bookings. The company says its pricing agents have delivered more than 80,000 quotes to over 3,600 customers, with some quotes now taking minutes rather than days.
Watch Desk analysis
What happened
The freight forwarder is expanding its use of AI across ocean shipping, airfreight and customs brokerage, according to The Loadstar’s 26 October report. The work can involve more than a dozen agents. They interpret shipping requirements, gather information from outside parties and assess routes and charges, including changing terminal fees.
CH Robinson says its pricing agents have handled more than 80,000 quotes for over 3,600 customers. Quotes that previously took a day for airfreight or two to three days for ocean freight now take two to three minutes, the company says. In US customs brokerage, AI and automation classify documents, extract data and request missing paperwork; the company claims a 23% reduction in time spent on the affected work.
Why it matters
This is a practical deployment in a complicated business, not an AI assistant waiting politely in a sidebar. Freight quotes depend on customer requirements, suppliers, routes, terminals and fees that can change. CH Robinson says agents can check terminal websites and monitor emails for fee notices, reducing the need for staff to chase information across time zones.
The numbers come with an important gap: the company has not said what proportion of booking work it expects to automate. Its technology chief said earlier digital booking tools achieved about 5% automation over roughly a decade, and that more work remains to automate the full booking process. The 23% customs-work reduction is the company’s claim, not a measure of AI’s isolated effect.
Our read
The interesting development is the move from automating a form to coordinating several messy steps around a shipment. That could make quoting faster and help staff respond when routes or schedules change. But “more than a dozen agents” is not, by itself, a customer outcome. The useful test is whether speed and consistency improve without creating new errors or simply shifting the checking work elsewhere.
What to watch
- Whether CH Robinson publishes the share of bookings handled by agents and how that changes over time.
- Whether the reported quoting times and customs-work savings hold across regions and shipment types.
- How staff validate agent recommendations, especially when routes, fees or customer requirements change.
Discussion spark: Would you trust AI agents to coordinate freight quotes and bookings if people still validate the decisions, or should a human handle every step that can change a shipment?
Sources and evidence
- Source update (26 October 2026, 12:00 UTC)
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