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Scanny AI
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Proof of Delivery Is Slowing Down Your Cash Flow

Why logistics teams invoice late — even when deliveries are on time

In logistics, everyone obsesses over delivery speed.

Routes are optimized.

Warehouses are automated.

Drivers are tracked in real time.

Yet invoicing is still late.

Why?

Because Proof of Delivery documents are still handled like it’s 2005.


The Hidden Delay After Delivery

Here’s a common timeline:

  • Truck delivers the shipment
  • Customer signs the POD
  • Driver sends a scan or photo
  • POD lands in an inbox or shared folder
  • Finance waits for manual review
  • Invoice goes out tomorrow… or next week

Nothing went wrong operationally.

The delay is entirely administrative.


Why PODs Are Hard to Automate

Proof of Delivery documents are messy:

  • Photos taken on phones
  • Crooked scans
  • Handwritten signatures
  • Different layouts per customer

Traditional OCR tools struggle with this variability, so humans stay in the loop.

And humans create queues.


How Automation Changes the Timeline

With Scanny AI, PODs are processed automatically:

  • POD uploaded or received
  • Key fields extracted (date, signature, order ID)
  • Data structured instantly
  • Invoicing triggered immediately

Delivery today.

Invoice today.


Cash Flow Is a Speed Problem

Most logistics companies don’t have a delivery problem.

They have a document processing problem.

If you want faster payments, stop waiting on paperwork.

Scanny AI removes POD friction so cash can move as fast as your trucks.

Learn more → scanny-ai.com

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