System and method of detecting fraudulent or erroneous invoices

US7840455B1 · kind B1 · utility

Assignee

• SAP AG · DE

Inventors

• Ramshankar Venkatasubramanian · Santa Clara, US
• Hartmut Vogler · Foster City, US
• Hila Schlank · Sunnyvale, US
• Heinz U. Roggenkemper · Los Gatos, US

Key dates

• Filing date: Aug 15, 2005
• Grant date: Nov 23, 2010
• Expiry date: Nov 16, 2028

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/12
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

In one embodiment, the present invention includes methods for detecting fraudulent or erroneous invoices that use an associative memory and models of valid invoices. Incoming invoices may be applied against the models of valid invoices, and the models may access the associations of data elements in an associative memory and provide results to a decision engine. The decision engine may flag invoices that are nonconforming for further analysis. As more invoices and information about the invoices are gathered, the models and associative memory may be adapted to improve detection performance.