Customer story - Logistics
Hamburg International Freight Forwarder cuts manual data entry by 80%
Outcome
Cross Freight
The impact
80%
reduction in manual data entry per shipment
95%+
accuracy on automated document classification
60%
faster customs handling processing time
The challenge
Where the work was getting stuck.
Cross Freight, an independent Hamburg freight forwarder operating since 1996 across air, ocean, courier, and ship spares, handled a high daily volume of shipment documents entirely manually. Staff spent significant time extracting data from AWBs, bills of lading, and customs forms, re-entering it into internal systems, and manually verifying compliance details. With 35 employees managing global routes, the manual overhead limited capacity and introduced processing errors that created downstream delays.
The solution
One intelligence layer across the workflow.
Stargo Stardox Agentic AI implemented an intelligent document processing layer that automatically extracts, classifies, and routes shipment data from incoming documents — AWBs, sea waybills, customs declarations, and delivery notes — directly into Cross Freight's operational systems. The Stardox Agentic AI validates compliance fields against known consignor rules and flags exceptions for human review. Across all four divisions, the team shifted from manual re-keying to exception-based review, dramatically increasing throughput without additional headcount.
"Our team used to dread the morning document pile. Now the system handles classification and entry automatically — staff spend their time on exceptions and customer calls, not copy-paste."
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