Patents by Inventor Albert Saniger

Albert Saniger 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: 11373164
    Abstract: A purchasing agent application operates on a mobile device to facilitate a user's purchase of a product featured on a web page of a third party merchant for a gift recipient. The user can select an option in a web browser to share the web page URL with the application. The application communicates with a server to streamline the purchase process based on previously entered user identity, payment and shipping information. The application and/or server use machine learning models to automate the completion of any one or more form fields and/or link selections that the user would otherwise be required complete on the third party merchant's web site to execute the purchase. None of the user, the application or the server need have any prior relationship with the third party merchant. The machine learning models can be trained, for example, using supervised learning, unsupervised learning and/or reinforcement learning techniques.
    Type: Grant
    Filed: January 18, 2022
    Date of Patent: June 28, 2022
    Inventors: Albert Saniger, Edoardo Paluan, James Bellamy
  • Publication number: 20220156716
    Abstract: A purchasing agent application operates on a mobile device to facilitate a user's purchase of a product featured on a web page of a third party merchant for a gift recipient. The user can select an option in a web browser to share the web page URL with the application. The application communicates with a server to streamline the purchase process based on previously entered user identity, payment and shipping information. The application and/or server use machine learning models to automate the completion of any one or more form fields and/or link selections that the user would otherwise be required complete on the third party merchant's web site to execute the purchase. None of the user, the application or the server need have any prior relationship with the third party merchant. The machine learning models can be trained, for example, using supervised learning, unsupervised learning and/or reinforcement learning techniques.
    Type: Application
    Filed: January 18, 2022
    Publication date: May 19, 2022
    Inventors: Albert Saniger, Edoardo Paluan, James Bellamy
  • Patent number: 11227320
    Abstract: A purchasing agent application operates on a mobile device to facilitate a user's purchase of a product featured on a web page of a third party merchant. The user can select an option in a web browser to share the web page URL with the application. The application communicates with a server to streamline the purchase process based on previously entered user identity, payment and shipping information. The application and/or server use machine learning models to automate the completion of any one or more form fields and/or link selections that the user would otherwise be required complete on the third party merchant's web site to execute the purchase. None of the user, the application or the server need have any prior relationship with the third party merchant. The machine learning models can be trained, for example, using supervised learning, unsupervised learning and/or reinforcement learning techniques.
    Type: Grant
    Filed: June 21, 2020
    Date of Patent: January 18, 2022
    Inventors: Albert Saniger, Edoardo Paluan, James Bellamy
  • Publication number: 20210398181
    Abstract: A purchasing agent application operates on a mobile device to facilitate a user's purchase of a product featured on a web page of a third party merchant. The user can select an option in a web browser to share the web page URL with the application. The application communicates with a server to streamline the purchase process based on previously entered user identity, payment and shipping information. The application and/or server use machine learning models to automate the completion of any one or more form fields and/or link selections that the user would otherwise be required complete on the third party merchant's web site to execute the purchase. None of the user, the application or the server need have any prior relationship with the third party merchant. The machine learning models can be trained, for example, using supervised learning, unsupervised learning and/or reinforcement learning techniques.
    Type: Application
    Filed: June 21, 2020
    Publication date: December 23, 2021
    Inventors: Albert Saniger, Edoardo Paluan, James Bellamy