Patents by Inventor R. Mathangi SRI
R. Mathangi SRI 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).
-
Publication number: 20210350419Abstract: A computer-implemented method and apparatus for facilitating a provisioning of advertisements to customers effects display of one or more advertisements on a Web domain. Each displayed advertisement is configured to offer advertisement related assistance to customers visiting the Web domain. A selection input provided by a customer on an advertisement is received. In response to the receipt of the selection input, the system facilitates customer engagement with a customer support representative associated with an enterprise related to the advertisement. The customer engagement facilitated through the advertisement is configured to provide the advertisement related assistance to the customer.Type: ApplicationFiled: June 22, 2021Publication date: November 11, 2021Inventors: Pallipuram V. Kannan, Bhupinder Singh, R. Mathangi Sri
-
Publication number: 20200013071Abstract: A computer-implemented method and an apparatus for personalizing customer interaction experiences receives an input corresponding to at least one of a business objective and a customer interaction channel. A customer classification framework is selected based on the input. The customer classification framework is associated with a plurality of persona types, where each persona type is associated with a set of behavioral traits. A persona type for a customer is predicted from among the plurality of persona types during an interaction on the customer interaction channel. A propensity of the customer to perform at least one action is predicted based on the persona type. A provisioning of personalized interaction experience to the customer is facilitated based on the predicted propensity of the customer to perform the at least one action.Type: ApplicationFiled: September 16, 2019Publication date: January 9, 2020Inventors: R. Mathangi Sri, Bhupinder Singh
-
Patent number: 10484541Abstract: In accordance with an example embodiment a computer-implemented method and an apparatus for predicting and tracking of mood changes in textual conversations are provided. The method includes determining, by a processor, one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer. Changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation are tracked by the processor. Further, the method includes determining, by the processor, at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics.Type: GrantFiled: July 26, 2018Date of Patent: November 19, 2019Assignee: [24]7 .ai, Inc.Inventors: Pallipuram V. Kannan, Ravi Vijayaraghavan, R. Mathangi Sri, Suchana Seth
-
Patent number: 10467854Abstract: A computer-implemented method and an apparatus facilitate user engagement on enterprise interaction channels. Information related to a current journey of a user on one or more enterprise interaction channels is received. The user is categorized as one of a hot lead, a warm lead, and a non-hot lead based, at least in part, based on the received information related to the current journey of the user. If the user is categorized as the non-hot lead, a user interface (UI) displayed to the user is modified. The UI is modified to facilitate user engagement for converting the user from a non-purchasing entity to a purchasing entity.Type: GrantFiled: February 9, 2017Date of Patent: November 5, 2019Assignee: [24]7.ai, Inc.Inventors: R. Mathangi Sri, Bhupinder Singh
-
Patent number: 10417643Abstract: A computer-implemented method and an apparatus for personalizing customer interaction experiences receives an input corresponding to at least one of a business objective and a customer interaction channel. A customer classification framework is selected based on the input. The customer classification framework is associated with a plurality of persona types, where each persona type is associated with a set of behavioral traits. A persona type for a customer is predicted from among the plurality of persona types during an interaction on the customer interaction channel. A propensity of the customer to perform at least one action is predicted based on the persona type. A provisioning of personalized interaction experience to the customer is facilitated based on the predicted propensity of the customer to perform the at least one action.Type: GrantFiled: March 5, 2015Date of Patent: September 17, 2019Assignee: [24]7.ai, Inc.Inventors: R. Mathangi Sri, Bhupinder Singh
-
Patent number: 10339534Abstract: Embodiments of the invention relate to chat and, more particularly, to determining an that is to be action taken based on the type of chat session. The resolution of the chat is categorized to decide the necessary steps taken and also to monitor the agent's performance. A chat filter extracts relevant portions of a chat session. The relevant factors are taken into consideration and scored based on the feature vectors. A model is built and the type of resolution is determined. An analysis of the chat session is then performed taking into consideration several factors.Type: GrantFiled: February 4, 2014Date of Patent: July 2, 2019Assignee: [24]7.ai, Inc.Inventors: Andrew Chang, R. Mathangi Sri, Vaibhav Srivastava
-
Patent number: 10311377Abstract: User interactions are categorized into predefined hierarchical categories by classifying user interactions, such as queries, during a user interaction session by labeling text data into predefined hierarchical categories, and building a scoring model. The scoring model is then executed on untagged user interaction data to classify the user interactions into either action-based or information-based interactions.Type: GrantFiled: March 2, 2017Date of Patent: June 4, 2019Assignee: [24]7.ai, Inc.Inventors: Ravi Vijayaraghavan, Vaibhav Srivastava, R. Mathangi Sri, Nitin Kumar Hardeniya
-
Patent number: 10225405Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.Type: GrantFiled: February 12, 2018Date of Patent: March 5, 2019Assignee: [24]7.AI, Inc.Inventors: R. Mathangi Sri, Prashant V. Ullegaddi, Vaibhav Srivastava
-
Publication number: 20180359361Abstract: In accordance with an example embodiment a computer-implemented method and an apparatus for predicting and tracking of mood changes in textual conversations are provided. The method includes determining, by a processor, one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer. Changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation are tracked by the processor. Further, the method includes determining, by the processor, at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics.Type: ApplicationFiled: July 26, 2018Publication date: December 13, 2018Inventors: Pallipuram V. KANNAN, Ravi VIJAYARAGHAVAN, R. Mathangi SRI, Suchana SETH
-
Patent number: 10038786Abstract: In accordance with an example embodiment a computer-implemented method and an apparatus for predicting and tracking of mood changes in textual conversations are provided. The method includes determining, by a processor, one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer. Changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation are tracked by the processor. Further, the method includes determining, by the processor, at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics.Type: GrantFiled: March 4, 2015Date of Patent: July 31, 2018Assignee: [24]7.ai, Inc.Inventors: Pallipuram V. Kannan, Ravi Vijayaraghavan, R. Mathangi Sri, Suchana Seth
-
Publication number: 20180167508Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.Type: ApplicationFiled: February 12, 2018Publication date: June 14, 2018Inventors: R. Mathangi SRI, Prashant V. ULLEGADDI, Vaibhav SRIVASTAVA
-
Publication number: 20180129512Abstract: A computer-implemented method and apparatus for serving online communities of users includes effecting display of an interactive section on at least a portion of a user interface of a website upon receiving a user input indicative of a need for assistance. The interactive section is displayed to enable the user to post one or more queries to at least one relevant community of users from among a plurality of community of users associated with the website. Further, an interaction is facilitated between the user and one or more users associated with the at least one relevant community of users or between the user and the agent using the interactive section in response to posting of the one or more queries by the user.Type: ApplicationFiled: November 8, 2016Publication date: May 10, 2018Inventors: Bhupinder SINGH, R. Mathangi SRI
-
Patent number: 9894207Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.Type: GrantFiled: April 7, 2017Date of Patent: February 13, 2018Assignee: 24/7 CUSTOMER, INC.Inventors: R. Mathangi Sri, Prashant V. Ullegaddi, Vaibhav Srivastava
-
Publication number: 20170364965Abstract: A computer-implemented method and apparatus for facilitating a provisioning of advertisements to customers effects display of one or more advertisements on a Web domain. Each displayed advertisement is configured to offer advertisement related assistance to customers visiting the Web domain. A selection input provided by a customer on an advertisement is received. In response to the receipt of the selection input, the system facilitates customer engagement with a customer support representative associated with an enterprise related to the advertisement. The customer engagement facilitated through the advertisement is configured to provide the advertisement related assistance to the customer.Type: ApplicationFiled: June 13, 2017Publication date: December 21, 2017Inventors: Pallipuram V. KANNAN, Bhupinder SINGH, R. Mathangi SRI
-
Publication number: 20170270416Abstract: A computer-implemented method and an apparatus to facilitate building of prediction models from customer Web logs includes receiving a Web log including unstructured data and structured data corresponding to a customer's journey on a Website. The structured data in the Web log is used to generate structured variables and the unstructured data in the Web log is used to generate unstructured variables. The generated structured and unstructured variables are concatenated to form a session string, which serves as a textual representation of the customer's journey on the Website. The session string is subjected to text-based processing to generate a plurality of features. The plurality of features are used to build one or more prediction models for facilitating prediction of at least one response variable corresponding to the customers visiting the Website.Type: ApplicationFiled: March 15, 2017Publication date: September 21, 2017Inventors: R. Mathangi SRI, Bhupinder SINGH
-
Publication number: 20170214796Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.Type: ApplicationFiled: April 7, 2017Publication date: July 27, 2017Inventors: R. Mathangi SRI, Prashant V. ULLEGADDI, Vaibhav SRIVASTAVA
-
Publication number: 20170178033Abstract: User interactions are categorized into predefined hierarchical categories by classifying user interactions, such as queries, during a user interaction session by labeling text data into predefined hierarchical categories, and building a scoring model. The scoring model is then executed on untagged user interaction data to classify the user interactions into either action-based or information-based interactions.Type: ApplicationFiled: March 2, 2017Publication date: June 22, 2017Inventors: Ravi VIJAYARAGHAVAN, Vaibhav SRIVASTAVA, R. Mathangi SRI, Nitin Kumar HARDENIYA
-
Publication number: 20170154495Abstract: A computer-implemented method and an apparatus facilitate user engagement on enterprise interaction channels. Information related to a current journey of a user on one or more enterprise interaction channels is received. The user is categorized as one of a hot lead, a warm lead, and a non-hot lead based, at least in part, based on the received information related to the current journey of the user. If the user is categorized as the non-hot lead, a user interface (UI) displayed to the user is modified. The UI is modified to facilitate user engagement for converting the user from a non-purchasing entity to a purchasing entity.Type: ApplicationFiled: February 9, 2017Publication date: June 1, 2017Inventors: R. Mathangi SRI, Bhupinder SINGH
-
Patent number: 9652793Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.Type: GrantFiled: January 7, 2014Date of Patent: May 16, 2017Assignee: 24/7 CUSTOMER, INC.Inventors: R. Mathangi Sri, Prashant V. Ullegaddi, Vaibhav Srivastava
-
Patent number: 9626629Abstract: User interactions are categorized into predefined hierarchical categories by classifying user interactions, such as queries, during a user interaction session by labeling text data into predefined hierarchical categories, and building a scoring model. The scoring model is then executed on untagged user interaction data to classify the user interactions into either action-based or information-based interactions.Type: GrantFiled: February 14, 2014Date of Patent: April 18, 2017Assignee: 24/7 Customer, Inc.Inventors: Ravi Vijayaraghavan, Vaibhav Srivastava, R. Mathangi Sri, Nitin Kumar Hardeniya