Logistics / Third-party logistics
C.H. Robinson: Classifying U.S. Customs documents, extracting information and requesting missing documents
- Company
- C.H. Robinson
- Country
- United States
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
C.H. Robinson's U.S. Customs team manually processed different kinds of documents from shippers, carriers and government agencies. New trade agreements, additional tariffs and stricter compliance rules made international customs clearance more complex and labor-intensive. The company described manual handling of over four dozen types of documents.
Technology and data
New AI agents and automations split incoming documents, classify them and attach them to individual shipments. An AI agent extracts required information, while the system identifies and requests missing documents. Automated invoices and information packets are sent at the end. This reduces repetitive document work while customs brokers continue handling critical validation and compliance steps.
Results
In its October 26, 2026 release, C.H. Robinson said time spent had so far fallen by 23% with this customs support. The company said brokers could focus on critical validation and compliance work. This figure concerns customs support, not processing-time results for ocean and air price quotes or ocean bookings.
Limits and open questions
The source does not disclose the measurement period or comparator for the 23% reduction, or document extraction accuracy. It does not mean the entire customs process finishes without people.
Sources
- C.H. Robinson Debuts Lean AI for Ocean Shipping, Air Freight and CustomsC.H. Robinson, Accessed
Compiled from public sources. These are not results from ATF Works customers.