Patents by Inventor Bradley A. Craig

Bradley A. Craig 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).

  • Publication number: 20250191001
    Abstract: 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: Application
    Filed: January 16, 2025
    Publication date: June 12, 2025
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 12236439
    Abstract: 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: Grant
    Filed: June 7, 2023
    Date of Patent: February 25, 2025
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20250014043
    Abstract: 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: Application
    Filed: September 19, 2024
    Publication date: January 9, 2025
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20240370875
    Abstract: 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: Application
    Filed: July 17, 2024
    Publication date: November 7, 2024
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 12125039
    Abstract: 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: Grant
    Filed: June 7, 2023
    Date of Patent: October 22, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20240303664
    Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.
    Type: Application
    Filed: May 21, 2024
    Publication date: September 12, 2024
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 12073408
    Abstract: 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: Grant
    Filed: July 14, 2023
    Date of Patent: August 27, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20240265405
    Abstract: 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: Application
    Filed: April 16, 2024
    Publication date: August 8, 2024
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20240249295
    Abstract: 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: Application
    Filed: April 2, 2024
    Publication date: July 25, 2024
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 12026716
    Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: July 2, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 11989740
    Abstract: 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: Grant
    Filed: November 23, 2022
    Date of Patent: May 21, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 11978064
    Abstract: 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: Grant
    Filed: May 16, 2022
    Date of Patent: May 7, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20230394500
    Abstract: 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: Application
    Filed: July 14, 2023
    Publication date: December 7, 2023
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20230360051
    Abstract: 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: Application
    Filed: July 14, 2023
    Publication date: November 9, 2023
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20230316284
    Abstract: 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: Application
    Filed: June 7, 2023
    Publication date: October 5, 2023
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20230316286
    Abstract: 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: Application
    Filed: June 7, 2023
    Publication date: October 5, 2023
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Publication number: 20230316285
    Abstract: 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: Application
    Filed: June 7, 2023
    Publication date: October 5, 2023
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 11741480
    Abstract: 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: Grant
    Filed: May 27, 2022
    Date of Patent: August 29, 2023
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 11699158
    Abstract: 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: Grant
    Filed: December 28, 2020
    Date of Patent: July 11, 2023
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig
  • Patent number: 11687937
    Abstract: 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: Grant
    Filed: October 23, 2020
    Date of Patent: June 27, 2023
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy Kramme, Elizabeth A. Flowers, Reena Batra, Miriam Valero, Puneit Dua, Shanna L. Phillips, Russell Ruestman, Bradley A. Craig