Patents by Inventor Vivek Kayarat

Vivek Kayarat 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: 10740681
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predictive modeling for adjusting initial values are disclosed. In one aspect, a method includes the actions of accessing transaction history data that indicates one or more transaction details associated with the transaction, a predicted value, and a final value. The actions further include determining a difference value between the predicted value and the final value. The actions further include generating a predictive model that is trained to estimate. The actions further include receiving one or more transaction details and a predicted value associated with a subsequently received transaction. The actions further include providing the one or more transaction details as input to the predictive model. The actions further include receiving an adjustment value to apply to the predicted value. The actions further include providing, for output, data indicating the adjustment value.
    Type: Grant
    Filed: January 20, 2016
    Date of Patent: August 11, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: James S. Burroughs, Mark Potts, Sheethal Kumar, David B. Treat, Velayudhan Pillai, Vivek Kayarat
  • Publication number: 20170132520
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predictive modeling for adjusting initial values are disclosed. In one aspect, a method includes the actions of accessing transaction history data that indicates one or more transaction details associated with the transaction, a predicted value, and a final value. The actions further include determining a difference value between the predicted value and the final value. The actions further include generating a predictive model that is trained to estimate. The actions further include receiving one or more transaction details and a predicted value associated with a subsequently received transaction. The actions further include providing the one or more transaction details as input to the predictive model. The actions further include receiving an adjustment value to apply to the predicted value. The actions further include providing, for output, data indicating the adjustment value.
    Type: Application
    Filed: January 20, 2016
    Publication date: May 11, 2017
    Inventors: James S. Burroughs, Mark Potts, Sheethal Kumar, David B. Treat, Velayudhan Pillai, Vivek Kayarat