American Express Travel Related Services Company, Inc.

Sangarsh Nigam

Gordon Emory Anderson

Catherine J Campanaro

Kevin W Moore

Sanjay Madaan

Yulona Sue Wong

David S Connelly

Vernon Marshall

Michael David James

Ashish Sharma

William Gaines Coomer

Aniruddha V Khandekar

Mira Srinivasan

Gary West

Bhupinder Singh

Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A transaction network host may comprise various modules and engines as discussed herein wherein the probability that a transaction is a business or personal transaction may be evaluated for establishing proper usage of differentiated transaction instruments according to their proper purposes. For instance, a probable personal transaction may be identified as being associated with a business-oriented transaction card, whereby the transaction network may tailor the handling of the transaction, such as by denying it, whereby the transaction network may actively deter misuse of transaction products whereby the transaction network more properly functions according to approved parameters.

System and method for data analytics

The invention facilitates the compilation of client-imposed charge or credit limit reports based on declined purchase and/or payment transactions. The invention provides a system and method by which an account manager for a financial institution and/or a client program administrator company may perform analysis of spending patterns for cardmembers in order to determine an optimal client-imposed credit limit in order to reduce the occurrences of declined charge or credit transactions. An account manager for a financial institution and/or a client program administrator may use the limits report to persuade a cardmember to increase the client-imposed credit limit to a recommended level, thereby reducing the cardmember's inconvenience cased by declined purchase transactions while recapturing lost revenues by the card issuer also resulting from declined purchase transactions.

System and method for calculating recommended charge limits

The invention facilitates the computation of expected approval rates based on historic transaction data relating to transaction classes, approved transactions and declined transactions. The invention provides a system and method by which a program administrator for a company may model varying client-imposed limit scenarios in order to determine one or more optimal monthly and/or transactional spending limits. Further, the present invention provides a means for setting varying monthly and/or transaction spending limits for purchases from any number of industries. Providing card members with information regarding optimal spending limits reduces the occurrences of declined credit transactions. A program administrator may also utilize the present invention to provide any number of limit scenarios in order to persuade a card member to increase their client-imposed credit limit to an optimal level thereby reducing the card member's inconvenience caused by declined purchase transactions while recapturing lost revenues by the card issuer.

System and method for calculating expected approval rates

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Jersey City, NJ, United States of America

Sangarsh Nigam