Patents by Inventor Chengal Yerradoddi

Chengal Yerradoddi 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).

  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO PREDICT EVENTS ASSOCIATED WITH TRANSACTIONS
    Publication number: 20210248607
    Abstract: Methods and systems are presented for predicting a likelihood of an occurrence of an event, such as a dispute or a chargeback, associated with an electronic transaction based on monitoring user interactions of a user with one or more computing systems after the electronic transaction has been conducted. The electronic transaction may involve a purchase of a product and/or service from a merchant. After the transaction is conducted, user interactions of the user with the one or more computer systems, such as a website of the merchant involved in the transaction, a website of another merchant, and a website of a payment service provider may be monitored. A machine learning model may then be used to predict whether the event associated with the transaction will occur in the future based on the monitored user interactions.
    Type: Application
    Filed: March 29, 2021
    Publication date: August 12, 2021
    Inventors: Chengal Yerradoddi, Phanendra Mallampalli, Abhishek Hodavdekar
  • Systems and methods for using machine learning to predict events associated with transactions
    Patent number: 10963885
    Abstract: Methods and systems are presented for predicting a likelihood of an occurrence of an event, such as a dispute or a chargeback, associated with an electronic transaction based on monitoring user interactions of a user with one or more computing systems after the electronic transaction has been conducted. The electronic transaction may involve a purchase of a product and/or service from a merchant. After the transaction is conducted, user interactions of the user with the one or more computer systems, such as a website of the merchant involved in the transaction, a website of another merchant, and a website of a payment service provider may be monitored. A machine learning model may then be used to predict whether the event associated with the transaction will occur in the future based on the monitored user interactions.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: March 30, 2021
    Assignee: PayPal, Inc.
    Inventors: Chengal Yerradoddi, Phanendra Mallampalli, Abhishek Hodavdekar
  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO PREDICT EVENTS ASSOCIATED WITH TRANSACTIONS
    Publication number: 20200320534
    Abstract: Methods and systems are presented for predicting a likelihood of an occurrence of an event, such as a dispute or a chargeback, associated with an electronic transaction based on monitoring user interactions of a user with one or more computing systems after the electronic transaction has been conducted. The electronic transaction may involve a purchase of a product and/or service from a merchant. After the transaction is conducted, user interactions of the user with the one or more computer systems, such as a website of the merchant involved in the transaction, a website of another merchant, and a website of a payment service provider may be monitored. A machine learning model may then be used to predict whether the event associated with the transaction will occur in the future based on the monitored user interactions.
    Type: Application
    Filed: April 4, 2019
    Publication date: October 8, 2020
    Inventors: Chengal Yerradoddi, Phanendra Mallampalli, Abhishek Hodavdekar