Late payments are often blamed on customers.
In reality, many payment delays start inside the company.
In logistics and wholesale operations, invoices usually arrive as PDFs or scanned documents. Before they can be sent to customers, someone manually enters the data into accounting or CRM systems.
This is where the problem begins.
How Manual Entry Creates Disputes
Manual re-entry introduces errors:
- Incorrect quantities
- Mismatched prices
- Wrong references
Even small mistakes lead customers to dispute invoices. Each dispute adds days or weeks to payment cycles and creates unnecessary back-and-forth between finance teams.
Why This Is Hard to Fix
Invoices are not standardized.
Layouts vary. Tables shift. Scans are imperfect.
Traditional OCR tools extract raw text but struggle with structure, especially tables and totals. This forces humans to stay in the loop.
The Automation Shift
Modern document automation changes this.
Scanny AI allows teams to define exactly which invoice fields they need. It reads invoices visually, understands structure, and extracts clean, structured data directly from PDFs and images.
The result:
- Fewer errors
- Fewer disputes
- Faster payments
The Business Impact
Reducing invoice disputes doesn’t just save time.
It directly improves cash flow and customer trust.
If invoices are accurate from the start, payments move faster.
Learn how Scanny AI helps logistics teams automate invoice extraction → scanny-ai.com
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