Patents by Inventor Ilya O. Ryzhov

Ilya O. Ryzhov 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 OPTIMAL BIDDING IN A BUSINESS TO BUSINESS ENVIRONMENT
    Publication number: 20210182953
    Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.
    Type: Application
    Filed: March 2, 2021
    Publication date: June 17, 2021
    Applicant: Vendavo, Inc.
    Inventors: Eric BERGERSON, Megan KURKA, Huashuai QU, Ilya O. RYZHOV, Michael C. FU
  • Systems and methods for optimal bidding in a business to business environment
    Patent number: 10937087
    Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: March 2, 2021
    Assignee: VENDAVO, INC.
    Inventors: Eric Bergerson, Megan Kurka, Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu
  • SYSTEMS AND METHODS FOR OPTIMAL BIDDING IN A BUSINESS TO BUSINESS ENVIRONMENT
    Publication number: 20200013114
    Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these nil deals are also updated. This process may be repeated for additional deals.
    Type: Application
    Filed: September 16, 2019
    Publication date: January 9, 2020
    Applicant: Vendavo, Inc.
    Inventors: Eric BERGERSON, Megan KURKA, Huashuai QU, Ilya O. RYZHOV, Michael C. FU
  • Systems and methods for optimal bidding in a business to business environment
    Patent number: 10417699
    Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.
    Type: Grant
    Filed: September 1, 2016
    Date of Patent: September 17, 2019
    Assignee: Vendavo, Inc.
    Inventors: Eric Bergerson, Megan Kurka, Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu
  • SYSTEMS AND METHODS FOR OPTIMAL BIDDING IN A BUSINESS TO BUSINESS ENVIRONMENT
    Publication number: 20170091858
    Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.
    Type: Application
    Filed: September 1, 2016
    Publication date: March 30, 2017
    Inventors: Eric Bergerson, Megan Kurka, Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu