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:
Apr. 11, 2023

Filed:

Aug. 21, 2020
Applicant:

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

Inventors:

Claire Electra Longo, Denver, CO (US);

Brendon Kyle Villalobos, San Francisco, CA (US);

Liyuan Zhang, San Mateo, CA (US);

Jorge Chang, Sunnyvale, CA (US);

Elizabeth Yee, San Francisco, CA (US);

Abhishek Bambha, Burlingame, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 30/0251 (2023.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06Q 30/0241 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0254 (2013.01); G06F 16/2379 (2019.01); G06N 20/00 (2019.01); G06Q 30/0255 (2013.01); G06Q 30/0264 (2013.01); G06Q 30/0267 (2013.01); G06Q 30/0277 (2013.01);
Abstract

Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. Send Time Optimization (STO) uses machine learning (ML) to recommend a personalized send time based on a recipient's past engagement patterns. The purpose of the ML model is to learn patterns in the data automatically and use the patterns to make personalized predictions for each recipient. The send time recommended by the model is the time at which the model believes the recipient will be most likely to engage with the message, such as clicking or opening, and use of the send time mode is expected to increase engagement from recipients. Additional customizations include communication-frequency optimization, communication-channel selection, and engagement-scoring model.


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