Patents by Inventor Pankaj GHANSHANI

Pankaj GHANSHANI 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).

  • Predictive customer service environment
    Patent number: 10984332
    Abstract: A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction.
    Type: Grant
    Filed: February 1, 2017
    Date of Patent: April 20, 2021
    Assignee: [24]7.ai, Inc.
    Inventors: Dinesh Ajmera, Debashish Panda, Pankaj Ghanshani, Sumit Kumar, Ravi Vijayaraghavan, Mathangi Sri Ramachandran
  • Predictive customer service environment
    Patent number: 10977563
    Abstract: A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction.
    Type: Grant
    Filed: June 25, 2013
    Date of Patent: April 13, 2021
    Assignee: [24]7.ai, Inc.
    Inventors: Dinesh Ajmera, Debashish Panda, Pankaj Ghanshani, Sumit Kumar, Ravi Vijayaraghavan, Mathangi Sri Ramachandran
  • PREDICTIVE CUSTOMER SERVICE ENVIRONMENT
    Publication number: 20170140280
    Abstract: A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction.
    Type: Application
    Filed: February 1, 2017
    Publication date: May 18, 2017
    Inventors: Dinesh AJMERA, Debashish PANDA, Pankaj GHANSHANI, Sumit KUMAR, Ravi VIJAYARAGHAVAN, Mathangi Sri RAMACHANDRAN
  • PREDICTIVE CUSTOMER SERVICE ENVIRONMENT
    Publication number: 20140012626
    Abstract: A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction.
    Type: Application
    Filed: June 25, 2013
    Publication date: January 9, 2014
    Inventors: Dinesh AJMERA, Debashish PANDA, Pankaj GHANSHANI, Sumit KUMAR, Ravi VIJAYARAGHAVAN, Mathangi Sri RAMACHANDRAN