In logistics, everyone obsesses over speed.
Faster order entry.
Faster invoicing.
Faster shipping.
But most revenue leakage doesn’t come from slow workflows.
It comes from small errors.
The Problem With “Good Enough” Data
A single wrong quantity or SKU doesn’t stop operations.
The order ships.
The invoice goes out.
Everyone moves on.
Until:
The customer disputes the invoice
Payment is delayed
Ops spends hours reconciling documents
All because one line item was typed incorrectly.
Why Manual Entry Breaks at Scale
Invoices and Purchase Orders still arrive as PDFs.
Someone has to:
Read dense tables
Switch between screens
Copy values line by line
Even great operators make mistakes — especially when documents change layout.
This isn’t a people problem.
It’s a process problem.
Why OCR Isn’t Enough
OCR reads text, not structure.
It struggles with:
Tables
Wrapped rows
Misaligned columns
The result looks automated — but the data is often wrong.
How Scanny AI Helps
Scanny AI understands documents visually.
It detects table structure, extracts each line item correctly, and outputs clean, structured data you can trust — even when formats vary.
No templates.
No manual cleanup.
The Real Win
Fewer disputes.
Faster payments.
Less rework.
Accuracy scales better than speed.
If invoices or POs are still being typed in manually, that’s the real bottleneck.
Try it on a real document:
👉 https://scanny-ai.com
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