International Business Machines Corporation

Bruce C Graves

Markus Ettl

Amit Dhurandhar

Pawan Raghunath Chowdhary

Yu Tang

Soumyadip Ghosh

Karthik Sourirajan

Rajesh Kumar Ravi

William Stephen Schaefer

Anthony T Mazzatti

Gopikrishna Maniachari

An apparatus, method and computer program product for identifying fraud in transaction data. The method includes: receiving invoice data comprising a vendor, a requestor and events, receiving public data and private data sources, computing a vendor risk score using the public and private data sources matching the vendor of the invoice data, computing a requestor risk score using the public data sources and the private data sources matching the requestor of the invoice data, computing an active invoice score using the vendor risk score and the requestor risk score and when the active invoice score is greater than a predetermined amount, blocking the invoice data. In one embodiment, computing a vendor risk score comprises obtaining a weight and a confidence for the event, calculating an event vendor risk score using the weight times the confidence and combining the event vendor risk scores for all of the events.

Ranking and tracking suspicious procurement entities

Managing spend compliance may include receiving a set of spend transaction records containing one or more spend attributes, one or more compliance business rules and one or more investment scenarios that increase spend compliance. The compliance business rules may be applied to the transaction records and segments of transactions with predetermined high savings opportunities may be determined. A prioritized investment plan over one or more time periods that yield optimized return on investment may be generated based on applying the segments of transactions and the investment scenarios.

Optimizing procurement spend compliance

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Briarcliff Manor, NY, United States of America

Bruce C Graves