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.
Patent No.:
Date of Patent:
Oct. 21, 2025
Filed:
Sep. 09, 2022
Sephora Usa, Inc., San Francisco, CA (US);
Prasad Tendulkar, Foster City, CA (US);
Nelly Mensah, San Francisco, CA (US);
Anna Teresa Nicholas, Hazelton, PA (US);
Jillian Bertone, Lafayette, CA (US);
Lisa Zhu, Belmont, CA (US);
Jennifer Stokes, Seattle, WA (US);
Witono Liujanto, San Ramon, CA (US);
Aaron Oelckers, Pleasant Hill, CA (US);
Marc Mccotter, Hana, HI (US);
Harsha Huddar, Livermore, CA (US);
Fiona Kavanagh, San Francisco, CA (US);
Amit Adiraju Narasimha, Santa Clara, CA (US);
Naroju Janardhan, San Ramon, CA (US);
Sephora USA, Inc., San Francisco, CA (US);
Abstract
Various techniques pertain to a system having multiple mobile computing devices that includes a unified front end computing device and a mobile computing device of a client, a first artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a predicted body characteristic of a part of a body of the client for providing body care to the client, a second artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a list of products or services for the body care at least by executing a recommendation service on the list of products or services, and a data lake that is integrated with multiple application programming interfaces across multiple computing nodes and stores multiple types of data for predicting the list of products or services by the first artificial intelligence model and for predicting the personalized recommendation by the second artificial intelligence model.