- Patent Title: System and method for prediction of sellability of fashion products
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Application No.: US15979641Application Date: 2018-05-15
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Publication No.: US11276100B2Publication Date: 2022-03-15
- Inventor: Prakash Anusha , Makkapati Vishnu Vardhan , Arora Sagar
- Applicant: Myntra Designs Private Limited
- Applicant Address: IN Bangalore
- Assignee: Myntra Designs Private Limited
- Current Assignee: Myntra Designs Private Limited
- Current Assignee Address: IN Bangalore
- Agency: BakerHostetler
- Priority: IN201841003360 20180130
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/06 ; G06N20/00 ; G06Q10/08

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. Moreover, the processor is configured to combine the first and second sellability confidence values to determine an aggregate sellability confidence value associated with the reference fashion style.
Public/Granted literature
- US20190236677A1 SYSTEM AND METHOD FOR PREDICTION OF SELLABILITY OF FASHION PRODUCTS Public/Granted day:2019-08-01
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