FIS / FCI Technologies and Functions

 

Introduction

The video highlights some of the advanced technologies that are applied to the task of automated invoice data extraction with FIS / FCI. The technologies ensure that invoices are correctly classified and the data quality is maintained, prior to transfer to SAP /  ERP. The technologies free up time for the AP team by eliminating or significantly reducing labour intensive tasks.

Who is it for?

For organisations with SAP ERP (ECC 6 or S/4 HANA) who wish to:

Replace time consuming tasks such as processing invoices received via emailed attachments.

Improve the invoice data quality in SAP / ERP by utilising intrinsic reference tables from SAP for company code identification, PO validation, current tax values, and supplier identification

Relieve the AP Team form mundane tasks such as data entry and bar-code additions to invoices.

Make savings by reducing invoice processing costs whilst making a significant improvement in SAP / ERP invoice data.

Improve the task quality and workload volume from the AP department.

 

Key Information: Technologies Applied to the Invoice Data Reading Tasks

Emailed Invoices to be automatically forwarded to FIS / FCI , the invoice reading component, and then archived for retrieval in SAP / ERP. No need for manual tasks such as printing, scanning and keying in invoice data.

Multiple OCR engines are used and the data compared between all engines to support the data quality – i.e. agreement between all engines or the majority of engines. Ensures data quality by highlighting data that could be erroneous.

Invoice classification confirmed against standard tables in SAP / ERP to confirm or highlight potential errors in the invoice data.

Fuzzy logic – used for comparing invoice data (i.e. supplier recognition) with reference data to compensate for inexact data on the invoice or within the master data. The fuzzy-logic technology allows data to be read – such as supplier identification – without requiring an 1005 correct match.

Freeform recognition technology – automatically hunts for data in the vicinity of key words to extract the important invoice data from day-one.

Intelligent Knowledge Base – is used to extract the key invoice information by statistical analysis or the co-ordinates of previous successes for each supplier.

 

Contact FIS UK

info@fis-uk.eu

Your Name (required)

Your Email (required)

Project Summary

Further Information and Special Requirements

The user agrees that the generated data may be used and stored by FIS Information Systems for communication processes. The data will not be shared with any third parties unless permission is granted from the user. The permission can be withdrawn at any time.

BY CONTINUING TO USE OUR SITE AND SERVICES, YOU ARE AGREEING TO THE USE OF COOKIES AND SIMILAR TECHNOLOGIES FOR THE PURPOSES WE DESCRIBE IN THE COOKIE POLICY. IF YOU DO NOT ACCEPT THE USE OF COOKIES AND SIMILAR TECHNOLOGIES, DO NOT USE THIS SITE. Read our Cookie Policy

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close