Patents by Inventor Madhuleena Adhikary

Madhuleena Adhikary 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).

  • Personality trait-based customer behavior prediction
    Patent number: 11416884
    Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: August 16, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sanjay Sharma, Nilesh Kumar Gupta, Madhuleena Adhikary, Arpendu Kumar Ganguly, Utkarsh Mittal, Samik Adhikary, Amitava Dey
  • PERSONALITY TRAIT-BASED CUSTOMER BEHAVIOR PREDICTION
    Publication number: 20220012763
    Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.
    Type: Application
    Filed: July 9, 2020
    Publication date: January 13, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sanjay Sharma, Nilesh Kumar Gupta, Madhuleena Adhikary, Arpendu Kumar Ganguly, Utkarsh Mittal, Samik Adhikary, Amitava Dey