Patents by Inventor A. Kranthi MITRA

A. Kranthi MITRA 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: 10726427
    Abstract: A computer-implemented method and a system facilitate social recognition of agents. A first user interface (UI) is presented to a customer on a device in proximity to the customer subsequent to a completion of an interaction of the customer with an agent. The first UI comprises one or more survey questions related to a performance of the agent. A determination of whether the performance of the agent satisfies a predetermined condition is performed based on an input received from the customer in response to the one or more survey questions. A second UI is presented to the customer to request the customer to provide an endorsement for the agent if the performance of the agent satisfies the predetermined condition. A posting of the endorsement on one or more social media profiles of the agent is effected upon receiving the endorsement for the agent from the customer.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: July 28, 2020
    Assignee: [24]7.ai, Inc.
    Inventors: Pallipuram V. Kannan, Ravi Vijayaraghavan, Kranthi Mitra Adusumilli
  • Patent number: 10515380
    Abstract: A context-aware computing system for delivering surveys to a customer. The choice of which survey to send to a customer may be tailored based on a click path (route), customer history, and customer interests. A customer browsing a Web page initiates the survey decision process. A control module selects a survey to send to a customer based on the criteria above and customer intent. Customer responses are then harvested from the Web-based survey.
    Type: Grant
    Filed: November 14, 2013
    Date of Patent: December 24, 2019
    Assignee: [24]7.ai, Inc.
    Inventors: Pallipuram V. Kannan, Ravi Vijayaraghavan, Kranthi Mitra Adusumilli
  • Patent number: 10482521
    Abstract: User intent is identified while the user browses online and recommendations are provided to the user. The recommendations are based on the identified intent, interests, and preferences of the user who is performing the searches. The determination of user intent and interests is based on a statistical model derived from data compiled from the user and a plurality of other users. Other resources may also be determined to be relevant, for example, because of past interactions of the user, memberships of the user in ecommerce websites, the user's interests and preferences are similar to those of other users, and so on. The result of the user search is a ranked set of recommendations that is provided to the user.
    Type: Grant
    Filed: April 6, 2017
    Date of Patent: November 19, 2019
    Assignee: [24]7.ai, Inc.
    Inventors: Ravi Vijayaraghavan, Subhash Ramchandra Kulkarni, Kranthi Mitra Adusumilli
  • Publication number: 20190279141
    Abstract: A computer-implemented method and an apparatus for facilitating staffing of resources receives customer data corresponding to a plurality of customers of an enterprise. At least one intention is predicted for each customer to configure a plurality of intentions. An expected volume of interactions is estimated for at least one time period based on the plurality of intentions. Each interaction in the expected volume of interactions is associated with interaction attributes. Resource data corresponding to a plurality of resources of the enterprise is received. Each resource is associated with a plurality of resource attributes. At least one resource is mapped to each interaction based on a match between resource attributes associated with the at least one resource and the interaction attributes associated with the each interaction. A staffing of the plurality of resources is facilitated based on the mapping of the at least one resource to the each interaction.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Inventors: Pallipuram V. KANNAN, Kranthi Mitra ADUSUMILLI
  • Patent number: 10373177
    Abstract: Online browsing behavior is used to predict the intent of online users dynamically. The category of online user is predicted and the prediction can be used to provide assistance to the user, if required. Such prediction is based on a combination of a Naïve's Bayes classifier and a Markov model.
    Type: Grant
    Filed: February 6, 2014
    Date of Patent: August 6, 2019
    Assignee: [24] 7 .ai, Inc.
    Inventors: Ravi Vijayaraghavan, Kranthi Mitra Adusumilli, Subhash Ramchandra Kulkarni, Ravi Prakash
  • Patent number: 10360610
    Abstract: A method and apparatus enables identification of customer characteristics and behavior, and predicts the customer's intent. Such prediction can be used to adopt various business strategies to increase the chances of conversion of customer interaction to a sale, and thereby can increase revenue, and/or enhance the customer's experience.
    Type: Grant
    Filed: January 22, 2016
    Date of Patent: July 23, 2019
    Assignee: [24]7.ai, Inc.
    Inventors: Ravi Vijayaraghavan, Subhash Ramchandra Kulkarni, Kranthi Mitra Adusumilli
  • Patent number: 10339477
    Abstract: A computer-implemented method and an apparatus for facilitating staffing of resources receives customer data corresponding to a plurality of customers of an enterprise. At least one intention is predicted for each customer to configure a plurality of intentions. An expected volume of interactions is estimated for at least one time period based on the plurality of intentions. Each interaction in the expected volume of interactions is associated with interaction attributes. Resource data corresponding to a plurality of resources of the enterprise is received. Each resource is associated with a plurality of resource attributes. At least one resource is mapped to each interaction based on a match between resource attributes associated with the at least one resource and the interaction attributes associated with the each interaction. A staffing of the plurality of resources is facilitated based on the mapping of the at least one resource to the each interaction.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: July 2, 2019
    Assignee: [24] 7.ai, Inc.
    Inventors: Pallipuram V. Kannan, Kranthi Mitra Adusumilli
  • Patent number: 10204343
    Abstract: Unique customer identification and behavior is linked between either concurrent or sequential channels of engagement. Unique identifiers are created, captured, and/or passed between these multiple contact channels, e.g. Web, mobile, IVR, phone, automotive, television, to identify and tag the customer and their context, e.g. history, pass behavior, steps progressed, obstacles and/or issues encountered, etc., uniquely.
    Type: Grant
    Filed: May 17, 2013
    Date of Patent: February 12, 2019
    Assignee: [24]7.AI, INC.
    Inventors: Andrew Chang, Dan Reed, Quang Nguyen, A. Kranthi Mitra
  • Publication number: 20180374107
    Abstract: A computer-implemented method and a system facilitate social recognition of agents. A first user interface (UI) is presented to a customer on a device in proximity to the customer subsequent to a completion of an interaction of the customer with an agent. The first UI comprises one or more survey questions related to a performance of the agent. A determination of whether the performance of the agent satisfies a predetermined condition is performed based on an input received from the customer in response to the one or more survey questions. A second UI is presented to the customer to request the customer to provide an endorsement for the agent if the performance of the agent satisfies the predetermined condition. A posting of the endorsement on one or more social media profiles of the agent is effected upon receiving the endorsement for the agent from the customer.
    Type: Application
    Filed: August 30, 2018
    Publication date: December 27, 2018
    Inventors: Pallipuram V. KANNAN, Ravi VIJAYARAGHAVAN, Kranthi Mitra ADUSUMILLI
  • Publication number: 20180374108
    Abstract: A computer-implemented method and a system facilitate social recognition of agents. A first user interface (UI) is presented to a customer on a device in proximity to the customer subsequent to a completion of an interaction of the customer with an agent. The first UI comprises one or more survey questions related to a performance of the agent. A determination of whether the performance of the agent satisfies a predetermined condition is performed based on an input received from the customer in response to the one or more survey questions. A second UI is presented to the customer to request the customer to provide an endorsement for the agent if the performance of the agent satisfies the predetermined condition. A posting of the endorsement on one or more social media profiles of the agent is effected upon receiving the endorsement for the agent from the customer.
    Type: Application
    Filed: August 30, 2018
    Publication date: December 27, 2018
    Inventors: Pallipuram V. KANNAN, Ravi VIJAYARAGHAVAN, Kranthi Mitra ADUSUMILLI
  • Patent number: 10089639
    Abstract: A user profile is creates, and personalization is provided, by compiling interaction data. The interaction data is compiled to generate a value index or score from a user model. Parameterized data is used to build tools which help decide an engagement strategy and modes of engagement with a user. Several facets relating to the user, such as user behavior, user interests, products bought, intent, chat language, and so on, are compiled to create a user profile based personalization technique. In another embodiment, a unique ID is provided that can be mapped across multiple channels for use by the user to contact various organizations across multiple channels, and thus upgrade the user's experience.
    Type: Grant
    Filed: January 22, 2014
    Date of Patent: October 2, 2018
    Assignee: [24]7.AI, INC.
    Inventors: Pallipuram V. Kannan, Ravi Vijayaraghavan, Kranthi Mitra Adusumilli
  • Patent number: 9910909
    Abstract: Embodiments of the invention relate to managing user interactions and, more particularly, to performing analysis on data generated by user interactions. Embodiments of the invention use text mining to extract personal information of users from user interactions automatically. A topic model is used to reduce the number of dimensions required to represent the text, yet all the information of interest is highly pronounced. This enables a lower dimensional representation of the data leading to significantly faster computations.
    Type: Grant
    Filed: April 10, 2014
    Date of Patent: March 6, 2018
    Assignee: 24/7 CUSTOMER, INC.
    Inventors: Darshan Hegde, Kranthi Mitra Adusumilli, Subhash Ramchandra Kulkarni, Ravi Prakash
  • Publication number: 20170364930
    Abstract: A computer-implemented method and apparatus for assessing customer value of a customer based on customer interactions with advertisements are disclosed. An initial estimate of a customer value for a customer currently active on a Website related to an enterprise is determined. An estimate of an advertisement spend related to the customer and a propensity of the customer to perform an action in response to an advertisement displayed on the Website is also determined. A revised estimate of the customer value is generated by revising the initial estimate of customer value based on the estimate of advertisement spend related to the customer and the propensity of the customer to perform the action. The revised estimate of customer value is used to facilitate engagement with the customer on the Website.
    Type: Application
    Filed: June 15, 2017
    Publication date: December 21, 2017
    Inventors: Pallipuram V. KANNAN, Kranthi Mitra ADUSUMILLI
  • Publication number: 20170213274
    Abstract: User intent is identified while the user browses online and recommendations are provided to the user. The recommendations are based on the identified intent, interests, and preferences of the user who is performing the searches. The determination of user intent and interests is based on a statistical model derived from data compiled from the user and a plurality of other users. Other resources may also be determined to be relevant, for example, because of past interactions of the user, memberships of the user in ecommerce websites, the user's interests and preferences are similar to those of other users, and so on. The result of the user search is a ranked set of recommendations that is provided to the user.
    Type: Application
    Filed: April 6, 2017
    Publication date: July 27, 2017
    Inventors: Ravi VIJAYARAGHAVAN, Subhash Ramchandra KULKARNI, Kranthi Mitra ADUSUMILLI
  • Patent number: 9652797
    Abstract: User intent is identified while the user browses online and recommendations are provided to the user. The recommendations are based on the identified intent, interests, and preferences of the user who is performing the searches. The determination of user intent and interests is based on a statistical model derived from data compiled from the user and a plurality of other users. Other resources may also be determined to be relevant, for example, because of past interactions of the user, memberships of the user in ecommerce websites, the user's interests and preferences are similar to those of other users, and so on. The result of the user search is a ranked set of recommendations that is provided to the user.
    Type: Grant
    Filed: January 13, 2014
    Date of Patent: May 16, 2017
    Assignee: 24/7 CUSTOMER, INC.
    Inventors: Ravi Vijayaraghavan, Subhash Ramchandra Kulkarni, Kranthi Mitra Adusumilli
  • Publication number: 20170053287
    Abstract: The location of a user is obtained and, based on the location of the user and services available to, or requested by the user, a notification handler sends appropriate notifications to the user.
    Type: Application
    Filed: November 7, 2016
    Publication date: February 23, 2017
    Inventors: Pallipuram V. Kannan, A. Kranthi Mitra, Santhosh Kumar Arjunan
  • Patent number: 9519903
    Abstract: The location of a user is obtained and, based on the location of the user and services available to, or requested by the user, a notification handler sends appropriate notifications to the user.
    Type: Grant
    Filed: August 22, 2013
    Date of Patent: December 13, 2016
    Assignee: 24/7 CUSTOMER, INC.
    Inventors: Pallipuram V. Kannan, A. Kranthi Mitra, Santhosh Kumar Arjunan
  • Publication number: 20160217515
    Abstract: A method and apparatus enables identification of customer characteristics and behavior, and predicts the customer's intent. Such prediction can be used to adopt various business strategies to increase the chances of conversion of customer interaction to a sale, and thereby can increase revenue, and/or enhance the customer's experience.
    Type: Application
    Filed: January 22, 2016
    Publication date: July 28, 2016
    Inventors: Ravi VIJAYARAGHAVAN, Subhash Ramchandra KULKARNI, Kranthi Mitra ADUSUMILLI
  • Publication number: 20160171424
    Abstract: A computer-implemented method and an apparatus for facilitating staffing of resources receives customer data corresponding to a plurality of customers of an enterprise. At least one intention is predicted for each customer to configure a plurality of intentions. An expected volume of interactions is estimated for at least one time period based on the plurality of intentions. Each interaction in the expected volume of interactions is associated with interaction attributes. Resource data corresponding to a plurality of resources of the enterprise is received. Each resource is associated with a plurality of resource attributes. At least one resource is mapped to each interaction based on a match between resource attributes associated with the at least one resource and the interaction attributes associated with the each interaction. A staffing of the plurality of resources is facilitated based on the mapping of the at least one resource to the each interaction.
    Type: Application
    Filed: December 9, 2015
    Publication date: June 16, 2016
    Inventors: Pallipuram V. KANNAN, Kranthi Mitra ADUSUMILLI
  • Patent number: 9275342
    Abstract: A method and apparatus enables identification of customer characteristics and behavior, and predicts the customer's intent. Such prediction can be used to adopt various business strategies to increase the chances of conversion of customer interaction to a sale, and thereby can increase revenue, and/or enhance the customer's experience.
    Type: Grant
    Filed: March 28, 2013
    Date of Patent: March 1, 2016
    Assignee: 24/7 Customer, Inc.
    Inventors: Ravi Vijayaraghavan, Subhash Ramchandra Kulkarni, Kranthi Mitra Adusumilli