Patents by Inventor Sangita S. Fatnani

Sangita S. Fatnani has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8751399
    Abstract: Electronic payment card money laundering detection includes receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first API; generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compares the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction; evaluating the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction; and transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulato
    Type: Grant
    Filed: July 15, 2012
    Date of Patent: June 10, 2014
    Assignee: Wal-mart Stores, Inc.
    Inventors: Jayashree S. Kolhatkar, Sangita S. Fatnani, Yitao Yao, Kazuo Matsumoto
  • Patent number: 8738529
    Abstract: Exemplary embodiments for detecting electronic payment card fraud include receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first application programming interface (API); generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic fraud score for the current transaction; evaluating the probabilistic fraud score and the current transaction data based on a set of rules to generate a recommendation to approve, decline or review the current transaction; and transmitting the recommendation back to the payment card system via a second API.
    Type: Grant
    Filed: July 15, 2012
    Date of Patent: May 27, 2014
    Assignee: Wal-mart Stores, Inc.
    Inventors: Jayashree S. Kolhatkar, Sangita S. Fatnani, Yitao Yao, Kazuo Matsumoto
  • Publication number: 20130018795
    Abstract: Exemplary embodiments for detecting electronic payment card fraud include receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first application programming interface (API); generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic fraud score for the current transaction; evaluating the probabilistic fraud score and the current transaction data based on a set of rules to generate a recommendation to approve, decline or review the current transaction; and transmitting the recommendation back to the payment card system via a second API.
    Type: Application
    Filed: July 15, 2012
    Publication date: January 17, 2013
    Inventors: Jayashree S. Kolhatkar, Sangita S. Fatnani, Yitao Yao, Kazuo Matsumoto
  • Publication number: 20130018796
    Abstract: Electronic payment card money laundering detection includes receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first API; generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compares the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction; evaluating the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction; and transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulato
    Type: Application
    Filed: July 15, 2012
    Publication date: January 17, 2013
    Inventors: Jayashree S. Kolhatkar, Sangita S. Fatnani, Yitao Yao, Kazuo Matsumoto