Visa International Service Association

Zhongxiao Jiang

Kevin Paul Siegel

Karl Newland

Brad Nightengale

Sharon Rowberry

Patrick L Faith

Theodore David Harris

Mayrose Kragas

Chuck Byce

Methods and systems are presented for a fraud risk score to be given to a merchant for a proposed transaction with a consumer. The fraud risk score is generated by a payment account service provider, such as a credit card processor, using information from a pending transaction as well as information from other payment accounts that the consumer holds to which the payment account service provider is privy. Various factors, including indicators of elevated risk in other payment accounts, are custom-weighted by the merchant for the score.

Merchant fraud risk score

Improved real-time analytics systems are provided. An analytics system may be used to generate transaction scores for transactions. A method may comprise receiving a scoring request associated with a transaction, sending the scoring request to a plurality of scoring models including a production model, wherein each scoring model is operable to generate a transaction score in response to the scoring request, and wherein each scoring model may be implemented using a virtual machine, receiving a transaction score generated by the production model, and sending the transaction score to a server for approval or denial the transaction.

Real time analytics system

An apparatus and method for processing a transaction authorization request to reduce the need for a transaction risk assessment as part of the authorization process. The invention reduces both the data processing burden on the payment processor and the number of transactions for which authorization is denied. In some embodiments, the invention uses predictive or behavior modeling techniques to generate predictions of the transactions the consumer may engage in. If the consumer does engage in a predicted transaction, then a risk analysis process is not performed for that transaction.

System and method using predicted consumer behavior to reduce use of transaction risk analysis and transaction denials

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Cupertino, CA, United States of America

Zhongxiao Jiang