Patents by Inventor Reena Batra
Reena Batra 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).
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Publication number: 20240169399Abstract: Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.Type: ApplicationFiled: January 4, 2024Publication date: May 23, 2024Inventors: Elizabeth A. Flowers, Puneit Dua, Alan Zwilling, Adam Mattingly, Melissa Attig, Reena Batra
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Patent number: 11989740Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.Type: GrantFiled: November 23, 2022Date of Patent: May 21, 2024Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11978064Abstract: In a computer-implemented method of using customer data to determine that geolocation-based fraud alerts are false positives, it may be determined that an electronic fraud alert is a geolocation-based alert generated based upon an unexpected or abnormal transaction location. In response, customer data may be obtained from two or more sources via radio frequency links. It may then be determined that the customer data from the sources indicates that a customer is traveling. In response, it may be determined that a customer location indicated by the customer data corresponds to the transaction location. In response to determining that the customer location corresponds to the transaction location, the electronic fraud alert may be marked as a false positive, and the electronic fraud alert may be prevented from being transmitted to a mobile device of the customer, in order to reduce an amount of false positives that are transmitted to customers.Type: GrantFiled: May 16, 2022Date of Patent: May 7, 2024Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11900421Abstract: Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.Type: GrantFiled: January 12, 2022Date of Patent: February 13, 2024Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Elizabeth A. Flowers, Puneit Dua, Alan Zwilling, Adam Mattingly, Melissa Attig, Reena Batra
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Publication number: 20230394500Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.Type: ApplicationFiled: July 14, 2023Publication date: December 7, 2023Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230360051Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.Type: ApplicationFiled: July 14, 2023Publication date: November 9, 2023Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230316284Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.Type: ApplicationFiled: June 7, 2023Publication date: October 5, 2023Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230316285Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.Type: ApplicationFiled: June 7, 2023Publication date: October 5, 2023Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230316286Abstract: In a method of preventing fraudulent online financial transactions, a request to authorize an online, financial transaction may be received, where the transaction is associated with a debit or credit card account. A computing device at which information associated with the debit or credit card account was entered for the transaction may be identified, and a first geographic location at which the computing device resides may be determined. Based upon geolocation data indicating one or more geographic locations of the authorized cardholder, it may be determined that the authorized cardholder was at a second geographic location at a time of the transaction. If the second geographic location does not correspond to the first geographic location, the financial transaction may be prevented from being executed.Type: ApplicationFiled: June 7, 2023Publication date: October 5, 2023Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11741480Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.Type: GrantFiled: May 27, 2022Date of Patent: August 29, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11699158Abstract: In a method of preventing fraudulent online financial transactions, a request to authorize an online, financial transaction may be received, where the transaction is associated with a debit or credit card account. A computing device at which information associated with the debit or credit card account was entered for the transaction may be identified, and a first geographic location at which the computing device resides may be determined. Based upon geolocation data indicating one or more geographic locations of the authorized cardholder, it may be determined that the authorized cardholder was at a second geographic location at a time of the transaction. If the second geographic location does not correspond to the first geographic location, the financial transaction may be prevented from being executed.Type: GrantFiled: December 28, 2020Date of Patent: July 11, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230206316Abstract: Techniques are disclosed utilizing cognitive computing to improve banking experiences. A user's financial account(s) may be monitored to predict when a surplus of funds is unnecessarily present and for how long this will likely be the case. Once this is determined, techniques include automatically drafting funds from the account to another account having a higher interest rate where the funds may accrue more interest. The techniques also include predicting when an overdraft may occur and taking appropriate action when such a prediction is made. Predictions may be based upon different weighted inputs used in accordance with a predictive modeling system, which may attempt to predict for a particular user, location, and retailer, whether the user will spend an anticipated amount in excess of the user's current balance. If so, passive (e.g., notifications) and active (e.g., transferring cover funds) actions may be performed.Type: ApplicationFiled: February 6, 2020Publication date: June 29, 2023Inventors: Elizabeth Flowers, Puneit Dua, Alan Zwilling, Adam Mattingly, Melissa Attig, Reena Batra
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Patent number: 11687937Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.Type: GrantFiled: October 23, 2020Date of Patent: June 27, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11687938Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.Type: GrantFiled: October 26, 2020Date of Patent: June 27, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20230088436Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.Type: ApplicationFiled: November 23, 2022Publication date: March 23, 2023Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20220366433Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.Type: ApplicationFiled: May 27, 2022Publication date: November 17, 2022Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20220351216Abstract: In a computer-implemented method of using customer data to determine that geolocation-based fraud alerts are false positives, it may be determined that an electronic fraud alert is a geolocation-based alert generated based upon an unexpected or abnormal transaction location. In response, customer data may be obtained from two or more sources via radio frequency links. It may then be determined that the customer data from the sources indicates that a customer is traveling. In response, it may be determined that a customer location indicated by the customer data corresponds to the transaction location. In response to determining that the customer location corresponds to the transaction location, the electronic fraud alert may be marked as a false positive, and the electronic fraud alert may be prevented from being transmitted to a mobile device of the customer, in order to reduce an amount of false positives that are transmitted to customers.Type: ApplicationFiled: May 16, 2022Publication date: November 3, 2022Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11348122Abstract: A method of using browsing activity to identify fraudulent online or virtual applications includes receiving a virtual application over one or more radio frequency links, determining an applicant name on the virtual application, determining an IP address of a source computer from which the virtual application originated, determining an online browsing or search history associated with the IP address, determining whether the online browsing or search history indicates recent Internet searches for the applicant name, and, in response to determining that the online browsing or search history does indicate recent Internet searches for the applicant name, flagging the virtual application as fraudulent and generating an electronic alert indicating that the virtual application is fraudulent to facilitate identifying fraudulent virtual applications for goods or services.Type: GrantFiled: June 26, 2020Date of Patent: May 31, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Patent number: 11334894Abstract: In a computer-implemented method of using customer data to determine that geolocation-based fraud alerts are false positives, it may be determined that an electronic fraud alert is a geolocation-based alert generated based upon an unexpected or abnormal transaction location. In response, customer data may be obtained from two or more sources via radio frequency links. It may then be determined that the customer data from the sources indicates that a customer is traveling. In response, it may be determined that a customer location indicated by the customer data corresponds to the transaction location. In response to determining that the customer location corresponds to the transaction location, the electronic fraud alert may be marked as a false positive, and the electronic fraud alert may be prevented from being transmitted to a mobile device of the customer, in order to reduce an amount of false positives that are transmitted to customers.Type: GrantFiled: March 22, 2017Date of Patent: May 17, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
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Publication number: 20220138804Abstract: Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.Type: ApplicationFiled: January 12, 2022Publication date: May 5, 2022Inventors: Elizabeth A. Flowers, Puneit Dua, Alan Zwilling, Adam Mattingly, Melissa Attig, Reena Batra