Patents by Inventor Rahul Dhawan

Rahul Dhawan 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: 12003670
    Abstract: A computerized-method for redirecting inbound-voice-interactions to digital channels in a contact center, is provided herein. The computerized-method includes: (i) operating a digital-qualifier module to determine a digital-medium-transition-quotient, of an inbound-voice-interaction of a customer in an inbound-queue. The digital-medium-transition-quotient is an indication of a level of suitability of a digital-communication-channel to resolve a customer issue; (ii) operating an interaction-redirection module to determine a digital-communication-channel for redirection of the inbound-voice-interaction, based on customer-preference and the determined digital-medium-transition-quotient; and (iii) forwarding the inbound-voice-interaction and the determined digital-communication-channel to an Automatic Call Distribution (ACD) system to be carried-out by an agent via the determined digital-communication-channel when the determined digital-medium-transition-quotient is above a preconfigured threshold.
    Type: Grant
    Filed: April 2, 2023
    Date of Patent: June 4, 2024
    Assignee: INCONTACT INC.
    Inventors: Salil Dhawan, Omkar Joglekar, Rahul Vyas
  • Patent number: 11961031
    Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: April 16, 2024
    Assignee: NICE LTD.
    Inventors: Harshit Kumar Sharma, Salil Dhawan, Rahul Vyas
  • Publication number: 20190200554
    Abstract: The present invention provides compositions and methods for producing haploid induction. Genetic elements associated with haploid induction, recombinant DNA constructs comprising the genetic elements are also provided. Methods are further provided for generating haploid inducer plants, haploid plants, and doubled haploid plants (including spontaneous diploidization).
    Type: Application
    Filed: August 15, 2017
    Publication date: July 4, 2019
    Inventors: Rico A. Caldo, Paul S. Chomet, Rahul Dhawan, Yan Fu, Jonathan Lamb, Bryce M. Lemke, Jeanette M. Peevers
  • Publication number: 20170022574
    Abstract: The present invention is the field of plant breeding. More specifically, the invention focuses on the use of molecular markers to select for a genetic locus contributing to haploid induction.
    Type: Application
    Filed: August 22, 2016
    Publication date: January 26, 2017
    Inventors: Rahul Dhawan, Jennifer L. Jacobs, Warren M. Kruger, Bryce M. Lemke, Ryan A. Rapp, Minghui Sun, Christopher A. Taylor
  • Publication number: 20140298532
    Abstract: The present invention is the field of plant breeding. More specifically, the invention focuses on the use of molecular markers to select for a genetic locus contributing to haploid induction.
    Type: Application
    Filed: August 31, 2011
    Publication date: October 2, 2014
    Inventors: Rahul Dhawan, Jennifer L. Jacobs, Warren M. Kruger, Bryce M. Lemke, Ryan A. Rapp, Minghui Sun, Christopher A. Taylor