When Data Is Delayed, Payments Are Delayed
Revenue doesn’t start at shipment; it starts when documentation is ready. We use AI- powered ingestion to capture and structure transloader data instantly.
Faster data → Faster documents → Faster payments
A Two-Day Delay Can Lock Up Over Millions in Working Capital
The payment cycle begins only after shipment documents are prepared and submitted. When data is delayed, documentation is pushed back, and so is invoicing.
Where It Breaks
Manual Email Data Processing
Operations teams spend 22–30% of their time on manual data processing from emails.
Scaling Compounds the Problem
As shipment volumes increase, inefficiency scales, requiring more resources for the same output.
Small Errors, Big Delays
60–80% of trade transactions contain documentation discrepancies, most caused by manual data errors.
Document rework delays of 4–24 hours per issue
Payment delays due to discrepancies in financial documents
Increased risk of penalties, storage costs, and dissatisfaction
A single data error can delay the entire payment cycle.
The Root Cause
At the transloader, operations happen in real time. But the data arrives later, is manually processed, and becomes usable only after delays.
This creates a disconnect between shipment completion and revenue realization.
AI-Powered Ingestion of Transloader Data
Trisys eliminates the gap by automating how transloader data is captured and processed.
Business Impact
Faster documentation
Annual operational savings
Error rate (from 3–5%)
Processing time (from 10–20 min)
Why It Matters
Documents trigger invoices. Invoices trigger payments. Payments drive cash flow. Any delay at the data stage delays everything downstream.
When data is instant, revenue moves faster.