Automatic Digital Archive

Background

Traditionally, preparing payments involves printing supplier ledgers, attaching invoices, and submitting them for approval. This process is time-consuming and paper-intensive, especially in large companies.

 

Proposed Solution

Automatic attachment of Invoices to ERP, and make payment reports in PDF Format

Steps

Invoice Scanning: Digitally scan all supplier invoices.

Automated Data Extraction: Utilize AI to automatically extract key invoice data—reference number, date, and amount. These three fields create a unique identifier for each invoice, reducing the need for manual barcode stickers.

Automatic Attachment: Link the extracted invoice data to the accounting system using the unique identifier.

Payment Preparation: During payment preparation, generate an automated PDF report based on the payment wizard, including the attached invoices.

Benefits

Time and Resource Savings: Significantly reduces manual labor and paper usage, contributing to a greener environment.

Improved Accuracy: Automated data extraction minimizes errors associated with manual entry.

Enhanced Control: Provides a comprehensive overview of payments and associated invoices in a single PDF document.

Costs

One-Time Installation Fee: A single payment for setting up the system.

AI Data Extraction: Priced at 1 cent per page, with no minimum charges (e.g., $10 for 1,000 pages).

Technical Specifications

This method does not replace a digital archive for tax purposes; integration with an existing archive can be considered.

AI data extraction may not achieve 100% accuracy; approximately 10%-20% of invoices may require manual verification.

Serves as a control mechanism; invoices with incorrect data entries (date/reference/amount) will not be attached, necessitating further review.

Currently compatible with SAP Business One; compatibility with other systems can be assessed upon request.

Data Security

All data remains within the organization’s environment without external servers. Data extraction is performed via API with a leading company in the field; details are available upon request.