Background
This major US freight forwarder built its reputation on fast, reliable service, supporting 40,000 shipments a month across every major transport mode as an asset-light third-party logistics (3PL) provider. But manual document processing in the back office had become a bottleneck the front-line service couldn’t outrun.
300,000
documents indexed every month
98%
straight-through processing, no human touch
30 FTEs
freed for higher-value logistics work
Zero
extra headcount as shipment volume grows
Challenge: Manual document sorting couldn’t keep pace with email volume
This forwarder’s back office told a different story than its front-line reputation: an overwhelming volume of manual document processing had become a critical bottleneck.
Each month the company received 100,000 emails with attachments to support 40,000 shipments. A 50-person team split, sorted and classified every email into its component documents, then uploaded each one into the ERP system by hand. At that scale, the manual model added overhead and slowed turnaround, and the operation could only grow by hiring more people, putting the company’s service standards under pressure.
Solution: Document Automation โ Turning emails into structured ERP data
PayCargo’s solution was deployed as an automated layer between the forwarder’s email intake and its ERP, with coverage across every major transport mode plus warehousing and heavy haul. The AI-powered workflow turns unstructured email into indexed ERP data:
- Attachment splitting: PayCargo separates the individual documents bundled inside each of the forwarder’s 100,000 monthly emails, so records like Bills of Lading and PODs are automatically recognized
- Automated categorization: Every document is classified by type and matched to the right shipping order automatically, so the 50-person team no longer has to manually split and file each attachment themselves
- Direct ERP indexing: Extracted data indexes straight into the forwarder’s ERP, keeping tracking and updates in real time instead of waiting on someone to upload it manually
- Exception handling: The small share of complex documents is routed to the team, while the rest flow straight through
Result: 98% straight-through processing, no human touch
Measured results:
- 300,000 documents indexed every month
- 98% straight-through processing, no human touch
- 30 FTEs freed for higher-value logistics work
- Zero extra headcount as shipment volume grows
Strategic Outcome:
Because document handling no longer grows with headcount, the forwarder has turned a reactive manual process into a scalable advantage. The system now indexes 300,000 documents a month, and 30 of the original team members have moved to more complex brokerage and customer support work.
