Automated data capture
Transform invoices and forms into digital images from which data is automatically extracted, validated and made ready for import directly into your systems.
We offer a fully customisable invoice and/or forms capture solution that scans invoices and forms and automatically extracts and validates data. The data can then be imported directly to your existing systems for processing. Using intelligent document recognition technology (IDR), it begins extracting relevant information such as a purchase order number, invoice date, total amounts, etc.
Critical information can be validated against existing data in accounting systems before being exported directly into Enterprise Content Management (ECM), Enterprise Resource Planning (ERP), Accounts Payable (AP) and other back-end systems. The result is a faster, more efficient means of handling invoices and forms.
Reduce Manual Processes
Reduce the manual effort needed to process vendor invoices and enable businesses to accomplish more work with fewer people and less money.
Increase Vendor Discounts and Reduce Late Fees
Take advantage of early-pay discounts and avoid late fees by processing invoices faster.
Increase Accuracy and Efficiency
Advanced indexing capabilities reduce retrieval times from days to seconds with 99.9% accuracy.
Validate and Match
Extracted data is validated against purchase order and vendor data from A/P or ERP systems.
Export
The export module allows users to export the content extracted from invoices to virtually any A/P, ECM, ERP, database, workflow, or other system.
Benefits of direct feed to the ERP system include:
- Increased Productivity of Accounts Payable Staff
- Earlier Trapping of Errors and Speedier Resolution of Anomalies
- Reduced Overall Cost of Administration
- Faster Turnaround Time for Transactions
- Closer Financial Management Based on More Reliable Information
Demonstrations Available
If you would like to see our solutions in action, why not give us a call? We would be delighted to set up a demonstration based on your own data.