AI for foreign trade
Your team spends the day copying data between documents.
Customs brokers and trade teams rekey the same invoice lines, packing lists, and bills of lading across systems all day long. AI handles the extraction and routing so your people apply their domain knowledge where it counts.
faster invoice processing
weeks to first value
fewer entry errors
The forces working against trade teams right now
Volume grows, compliance tightens, and the manual work at the center of every shipment keeps scaling with neither.
Manual processes top growth inhibitors
25% of trade firms cite manual document handling as the single biggest barrier to scaling operations. Every new client means more of the same rekeying.
Customs delays are near-universal
88% of shippers report customs-related delays. Each hold-up cascades through the supply chain, costing time and eroding client confidence.
Error-prone data entry
A wrong HS code or a miskeyed value triggers penalties, shipment holds, and audit trails that consume weeks to resolve.
Fragmented systems
Critical data lives scattered across emails, PDFs, spreadsheets, and carrier portals. No single view of a shipment exists until someone manually assembles it.
What we hear
Our people should use their domain knowledge to check regulations, not push copy-paste for eight hours a day.
Forty hours of data entry per customs entry, down to two minutes. The accuracy is the best we have seen.
Please do not leave us without doing something.
Six ways to win your operations back
Each targets a real drain on your trade team, from document extraction and classification to shipment tracking and validation, plotted by the impact it creates against the effort to stand it up. Upper-left is the most return for the least lift.
Shipment tracking & visibility
Tracking a shipment means logging into three portals and cross-referencing email threads.
Where a person stays. Escalation decisions stay with the operations team. The system surfaces the signal; people act on it.
Time-to-value estimates draw on published deployments and are indicative only. Every organization's data, systems, and starting point are different.
So, what would your team do if data entry took minutes, not hours?
The biggest cuts land on the repetitive extraction and formatting tasks that scale with shipment volume, not with your team's trade expertise.
Data entry
Rekeying invoices, bills, certificates
Invoice processing
Matching, validating, routing
Declaration prep
Assembling and checking filings
Document routing
Sorting, filing, distributing
Most trade teams channel those hours into compliance review, client advisory, and scaling operations, the work that grows the business.
What tends to move
Fewer manual entry errors
Extraction replaces rekeying, and accuracy climbs to levels manual work rarely sustains.
source ↗Fewer clearance delays
Pre-submission checks catch the mistakes that cause holds before documents leave your desk.
Lower logistics operational cost
Less rework, fewer penalties, and faster throughput compress cost across the board.
source ↗Document accuracy
AI extraction matches or exceeds the accuracy of the most careful manual entry.
source ↗Ranges from published deployments and industry studies; your starting point sets where you land.
What would your team do if data entry took minutes, not hours?
Tell us how your trade operations run today and we'll map where AI actually fits, and where it honestly doesn't, for your setup.