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:
Jul. 09, 2024

Filed:

Aug. 06, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Amit Kumar, Gurgaon, IN;

Piyush Manocha, New Delhi, IN;

Anshul Gupta, Delhi, IN;

Nishant Mehta, Delhi, IN;

Anshul Anand, Uttar Pradesh, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0631 (2023.01); G06N 20/00 (2019.01); G06Q 10/0637 (2023.01); G06Q 10/067 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0204 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/06313 (2013.01); G06N 20/00 (2019.01); G06Q 10/0631 (2013.01); G06Q 10/0637 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0205 (2013.01);
Abstract

A new product development system may provide, to one or more client devices and server devices, one or more tools to enable development of a new product. The new product development system may receive current project data identifying a current project for developing the new product, historical project data identifying historical projects for developing historical products, and industry data associated with the new product. The new product development system may process the current project data, the historical project data, and the industry data, with a machine learning model, to identify one or more variables for a predictive model and may process the one or more variables, with the predictive model, to predict a predicted success rate of the current project. The new product development system may perform one or more actions based on the predicted success rate of the current project.


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