Patents by Inventor Rukmananda Suresh Mallya Perdur

Rukmananda Suresh Mallya Perdur 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).

  • Technologies for using machine learning to assess contract pricing
    Patent number: 11783270
    Abstract: Systems and methods for using machine learning to dynamically assess contract parameters are disclosed. According to certain aspects, an electronic device may train a machine learning model using real-world pricing and contract data, access parameters associated with a potential contract for an entity, and analyzing, using the machine learning model, the accessed parameters. Based on the analysis, the machine learning model may output a set of potential terms for the potential contract. Data indicative of this output may be availed to the entity to be used in negotiating and executing the contract, among other uses.
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: October 10, 2023
    Assignee: MCKINSEY & COMPANY, INC.
    Inventors: Vaibhav Srivastava, Rukmananda Suresh Mallya Perdur, Sukesh Shekar, Jeff Hart
  • Technologies for Using Machine Learning to Assess Contract Pricing
    Publication number: 20230142754
    Abstract: Systems and methods for using machine learning to dynamically assess contract parameters are disclosed. According to certain aspects, an electronic device may train a machine learning model using real-world pricing and contract data, access parameters associated with a potential contract for an entity, and analyzing, using the machine learning model, the accessed parameters. Based on the analysis, the machine learning model may output a set of potential terms for the potential contract. Data indicative of this output may be availed to the entity to be used in negotiating and executing the contract, among other uses.
    Type: Application
    Filed: November 10, 2022
    Publication date: May 11, 2023
    Inventors: Vaibhav Srivastava, Rukmananda Suresh Mallya Perdur, Sukesh Shekar, Jeff Hart