Patents by Inventor Arora SAGAR

Arora SAGAR 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).

  • System and method for prediction of sellability of fashion products
    Patent number: 11276100
    Abstract: A system and method for predicting sellability of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access one or more catalogue images of a fashion product. The processor is configured to determine a plurality of visual attributes of the fashion product. The processor is further configured to determine a plurality of non-visual attributes corresponding to the fashion product. In addition, the processor is configured to estimate a first sellability confidence value for the reference fashion style using a deep learning model. The first sellability confidence value is estimated based upon the visual attributes. Further, the processor is configured to estimate a second sellability confidence value for the reference fashion style using a non-visual parameter model. The second sellability confidence value is estimated based upon the non-visual attributes.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: March 15, 2022
    Assignee: Myntra Design Private Limited
    Inventors: Prakash Anusha, Makkapati Vishnu Vardhan, Arora Sagar
  • SYSTEM AND METHOD FOR PREDICTION OF SELLABILITY OF FASHION PRODUCTS
    Publication number: 20190236677
    Abstract: A system and method for predicting sellability of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access one or more catalogue images of a fashion product. The processor is configured to determine a plurality of visual attributes of the fashion product. The processor is further configured to determine a plurality of non-visual attributes corresponding to the fashion product. In addition, the processor is configured to estimate a first sellability confidence value for the reference fashion style using a deep learning model. The first sellability confidence value is estimated based upon the visual attributes. Further, the processor is configured to estimate a second sellability confidence value for the reference fashion style using a non-visual parameter model. The second sellability confidence value is estimated based upon the non-visual attributes.
    Type: Application
    Filed: May 15, 2018
    Publication date: August 1, 2019
    Applicant: Myntra Designs Private Limited
    Inventors: Prakash ANUSHA, Makkapati Vishnu VARDHAN, Arora SAGAR