Remittance data extraction
Pull invoice numbers, amounts, and dates from remittance documents.
Quick Receivable uses Google Document AI to read remittance advice and other customer documents, extracting invoice numbers, amounts, and dates into Salesforce so payments can be matched without retyping.
Schedule a Free DemoGoogle Document AI is a document processing service from Google Cloud. Quick Receivable uses it to turn remittance advice and similar AR documents into structured data inside Salesforce.
B2B customers often pay several invoices with one payment and send the details separately, as a PDF, a scanned page, or an email attachment. Someone on the AR team has to open each document, read the invoice numbers and amounts, and apply the payment by hand.
With Document AI, the relevant fields are extracted automatically and linked to the payment in Salesforce. Your team reviews the extracted data instead of retyping it, and exceptions are flagged for attention.
The same approach helps with customer claims and deduction backup, where the reason and amount need to be captured from a document.
AR staff read each remittance and key in invoice numbers and amounts before a payment can be applied.
A single customer payment may cover dozens of invoices, each listed on a separate remittance page.
When remittance processing falls behind, payments sit unapplied and customers keep receiving reminders.
Short payment reasons and claim amounts are buried in documents instead of recorded on the account.
From setup to daily use, here is how Google Document AI data moves into your collections workflow in Salesforce.
Remittance advice arrives as a PDF, scanned image, or email attachment.
Google Document AI reads the document and extracts fields such as customer, invoice numbers, amounts, and dates.
Extracted details are connected to the related payment and customer in Salesforce.
Low-confidence fields and unmatched invoices are flagged for your team to check.
Matched payments update invoice balances so collections activity reflects current AR.
What your AR, credit, and collections teams get when Google Document AI is connected to Quick Receivable.
Pull invoice numbers, amounts, and dates from remittance documents.
Handle remittances that list many invoices for a single payment.
Process both digital PDFs and scanned images.
Flag fields that need a person to confirm before a payment is applied.
Capture short payment reasons and amounts from customer documents.
Extracted data is linked to the payment, invoice, and account records.
The data points below are typical. Final field mapping is agreed during implementation.
Extracted remittance data supports Quick Receivable cash application and AR deductions management.
Teams that connect this system often connect these as well.
Quick Receivable uses Google Document AI to read remittance advice and similar AR documents and extract details such as invoice numbers, amounts, and dates into Salesforce, where they support payment matching.
Common examples include PDF remittance advice, scanned remittance pages, and customer documents that support deductions or claims.
No. Fields that the system is not confident about, and invoices that cannot be matched, are flagged for your team to review before the payment is applied.
No. Document AI provides the remittance data. Payment matching and application happen within Quick Receivable cash application in Salesforce.
Yes. Short payment reasons and deduction amounts on customer documents can be captured and connected to the related account.
Setup requirements are confirmed during implementation. Contact the Quick Receivable team for current details.
Schedule a 30-minute call. We will show you remittance documents turning into matched payments inside your Salesforce org.
No commitment. Implementation included. Cancel anytime.