Proof of Delivery
Proof-of-delivery capture and VL02N posting, automated.
Proof-of-delivery documents are the gate to invoicing and cash — but they arrive as scans, faxes and EDI in no consistent shape. POD agents extract the delivery number, correlate it to your SAP delivery transaction, and attach the proof directly to the record, accelerating cash collection by days.
1M+
PODs processed
3–7 days
DSO improvement
3
Capture channels
The problem it removes
What Proof of Delivery does
Multi-channel capture
Reads scanned receipts and EDI 214 from email, fax and carrier portals.
Delivery-number extraction
Pulls delivery and tracking numbers from low-quality scans and handwriting.
SAP delivery correlation
Matches the proof to the corresponding SAP delivery transaction.
Automatic posting
Updates the SAP delivery (VL02N) and attaches the proof document.
Exception flags
Surfaces unmatched or damaged-goods receipts for review and dispute handling.
How it works, end to end
Capture
An agent ingests carrier receipts from every channel and classifies them.
Extract
Delivery and tracking numbers are read even from poor scans.
Correlate
The POD is matched to the SAP delivery transaction with a confidence score.
Post
SAP is updated and the proof is attached; exceptions route to your team.
Proof of Delivery — frequently asked questions
How does POD automation reduce DSO?
By matching and attaching proof of delivery the moment it arrives, invoicing is no longer gated on manual document handling. Customers see proof attached to the SAP delivery faster, which removes a common reason for late payment and short-pays — typically cutting DSO by 3–7 days.
Can it read low-quality scans and faxes?
Yes. The agents are tuned to extract delivery and tracking numbers from poor scans, faxes and even handwriting, with low-confidence cases routed to a reviewer.
See Proof of Delivery run on your data
In a 30-minute working session we'll show Proof of Delivery live, tuned to your SAP objects and rules — self-hosted, inside your environment, with payback in under a year.
Houston, TX · hello@sayfe.ai