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:
Jun. 23, 2026

Filed:

Dec. 12, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Heather Phillips Stables, Woodstock, GA (US);

Paul Joseph Nix, Indianapolis, IN (US);

Tejas Sanghavi, Palo Alto, CA (US);

Jonathan Daniel Showers Belkowitz, New York, NY (US);

Amrutha Krishnan, San Francisco, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/40 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/41 (2023.01);
Abstract

Methods, systems, apparatuses, devices, and computer program products are described. A data service may receive a first user input indicating a first set of entities for training an artificial intelligence (AI) model for propensity score-prediction. The data service may receive a second user input indicating a set of outcome conditions which define what a user would like to predict about a customer (e.g., propensity to purchase). The data service may generate the AI model accordingly, and based on executing the AI model, generate a set of prediction metrics (propensity scores) for a second set of entities. The data service may store an indication of the AI model for review by a user. When the user approves the AI model and publishes the AI model to the data service, the generated propensity scores may be used to generate a segment of entities of the second set of entities.


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