Document Processing · Supply Chain Optimization
C.H. Robinson needed to automate email-heavy shipment workflows because too many customers still submit routine requests through inconsistent emails and PDFs that force employees to spend hours triaging and manually keying orders.
Reported impact
C.H. Robinson automated thousands of daily orders, reduced manual backlog from shipment emails, and freed employees to focus on higher-value customer work while improving speed across the shipping lifecycle.
C.H. Robinson built proprietary AI agents to automate shipment transactions from quoting through pickup, delivery, and in-transit updates. The team started on LangChain for interoperability so they could combine messy customer instructions with order context while retaining the freedom to swap models. As classification between less-than-truckload and full truckload grew more complex, they moved into LangGraph, which made order state easier to understand, track, and update across multi-step workflows. LangGraph Studio then helped prototype and debug those agent interactions visually. The resulting system reads shipping-request emails, connects facts across the email body and attached PDFs, fills in missing information, and creates orders automatically. LangSmith traces the full order-entry process so subject-matter experts and developers can quantify errors, inspect prompts, and catch problems before rollout.
Customer emails and attached PDFs enter the proprietary AI workflow, LangChain combines the raw request with order context, LangGraph classifies shipment types and maintains order state while missing details are retrieved, and LangSmith records the end-to-end order-entry trace for review before deployment.
15,000 emails a day
LangSmith was their first line of defense in the testing process
With approximately 5,500 orders a day now automated, C.H. Robinson is saving over 600 hours per day
employees spent around seven minutes processing each email into an order
it would take as much as four hours for a person to get to a shipping request in an email queue
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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