The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 18, 2025

Filed:

Jul. 12, 2022
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Anshul U Gupta, Ghaziabad, IN;

Meeta Lal Budhrani, Bangalore, IN;

Akshay Tutika, Hyderabad, IN;

Jyoti Bishnoi, Bangalore, IN;

Yogesh Kanoi, Kolkata, IN;

Vinivesh Raina, Jammu, IN;

Suman Nelli, Rajanna Sirisilla, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/00 (2012.01); G06N 20/00 (2019.01); G06Q 10/10 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/103 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for inclusive product design are disclosed. The system obtains likeness score for product attributes for product using survey before design phase of product, from user(s), and determines impact and relative contribution of each product attribute, for user, to inclusivity score, using multi-level machine learning models. The system segregates product attributes and inclusivity score at persona level, and determines feature importance score of each feature in product attributes for each user. System calculates risk score for each user indicating sensibility towards product designer choices, and provides what-if analysis capabilities to product designer for analyzing, based on risk score, risk of each user with sensibility towards product designer choices and receives multisensory review from user. The system computes overall score by combining feature importance and inclusivity scores, facial coding, voice tonality, and haptics feedback, to granular level and outputs iteratively enriched survey data for inclusive designing of products.


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