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. 17, 2020

Filed:

Dec. 29, 2017
Applicants:

Steve George Goyette, Maple Ridge, CA;

Yogish Pai, Los Gatos, CA (US);

Robert Bruce Macmartin, Delta, CA;

Yi NG, San Francisco, CA (US);

Inventors:

Steve George Goyette, Maple Ridge, CA;

Yogish Pai, Los Gatos, CA (US);

Robert Bruce MacMartin, Delta, CA;

Yi Ng, San Francisco, CA (US);

Assignee:

Intuit Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/08 (2012.01); G06Q 30/06 (2012.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06Q 20/20 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/0875 (2013.01); G06K 9/6278 (2013.01); G06N 20/00 (2019.01); G06Q 10/087 (2013.01); G06Q 20/203 (2013.01); G06Q 30/0629 (2013.01); G06Q 30/0641 (2013.01);
Abstract

A method identifies a plurality of product categories by applying a categorization model to product data that includes product names and product descriptions. The product data is obtained from internal sources and external sources. The method creates a knowledge graph for a plurality of business entities from inputs that include the plurality of product categories, published data that includes merchant categorizations, and geographical data. The method generates cohort clusters of similar business entities by applying a clustering algorithm to the knowledge graph. The method uses the cohort clusters to learn an extrapolation model for predicting inventory. The method makes a prediction as to the inventory level using the extrapolation model for a user of the merchant application. The method determines a confidence level for the user and orders additional inventory for the user without further input, if the confidence level is above a specified threshold.


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