System and method for automated message delivery prioritization

Patent metadata

Field	Value
Publication number	US-11770355-B2
Application number	US-202217591540-A
Country	US
Kind code	B2
Filing date	Feb 2, 2022
Priority date	Mar 26, 2021
Publication date	Sep 26, 2023
Grant date	Sep 26, 2023

Abstract

Systems and methods for message delivery prioritization that can include receiving a messaging request through an application programming interface, the messaging request being associated with message-associated delivery attributes; selecting a message transmission plan based on the message-associated delivery attributes, the message transmission plan including at least one timing priority related property; and executing the message transmission plan with a timing of transmission based in part on the timing priority property.

First claim

What is claimed is:

1. A method comprising:
receiving a messaging request through an application programming interface, the messaging request being associated with message-associated delivery attributes;
selecting a message transmission plan based on the message-associated delivery attributes, the message transmission plan including at least one timing priority related property, wherein selecting the message transmission plan comprises applying a machine learning model to the message-associated delivery attributes to obtain an output of the machine learning model, wherein the output of the machine learning mode indicates a candidate message route for the message transmission plan; and
executing the message transmission plan with a timing of transmission based in part on the timing priority related property.

2. The method of claim 1 , further comprising analyzing the messaging request and identifying at least one predicted delivery attribute, the at least one predicted delivery attribute defining at least a subset of the message-associated delivery attributes.

3. The method of claim 2 , wherein the analyzing the messaging request and identifying the at least one predicted delivery attribute comprises detecting a messaging time window of the messaging request through analysis of message content.

4. The method of claim 3 , wherein analyzing the messaging request and identifying the at least one predicted delivery attribute further comprises detecting, using the analysis of the message content, the message request as an interaction message; and wherein executing the message transmission plan with the timing of transmission based in part on the timing priority related property comprises executing the message transmission plan with high timing priority.

5. The method of claim 1 , wherein the messaging request comprises request delivery attributes defining at least a subset of the message-associated delivery attributes.

6. The method of claim 5 , wherein the request delivery attributes include at least one of: timing parameters, cost conditions, or reliability conditions.

7. The method of claim 1 , further comprising training the machine learning model.

8. The method of claim 1 , further comprising receiving delivery feedback after execution of the message transmission plan and updating the machine learning model based on the delivery feedback.

9. A system comprising:
one or more computer processors; and
one or more computer-readable mediums storing instructions that, when executed by the one or more computer processors, cause the system to perform operations comprising:
receiving a messaging request through an application programming interface, the messaging request being associated with message-associated delivery attributes;
selecting a message transmission plan based on the message-associated delivery attributes, the message transmission plan including at least one timing priority related property, wherein selecting the message transmission plan comprises applying a machine learning model to the message-associated delivery attributes to obtain an output of the machine learning model, wherein the output of the machine learning mode indicates a candidate message route for the message transmission plan; and
executing the message transmission plan with a timing of transmission based in part on the timing priority related property.

10. The system of claim 9 , wherein the operations further comprise analyzing the messaging request and identifying at least one predicted delivery attribute, the at least one predicted delivery attribute defining at least a subset of the message-associated delivery attributes.

11. The system of claim 10 , wherein the analyzing the messaging request and identifying the at least one predicted delivery attribute comprises detecting a messaging time window of the messaging request through analysis of message content.

12. The system of claim 11 , wherein analyzing the messaging request and identifying the at least one predicted delivery attribute further comprises detecting, using the analysis of the message content, the message request as an interaction message; and wherein executing the message transmission plan with the timing of transmission based in part on the timing priority property comprises executing the message transmission plan with high timing priority.

13. The system of claim 9 , wherein the messaging request comprises request delivery attributes defining at least a subset of the message-associated delivery attributes.

14. The system of claim 13 , wherein the request delivery attributes comprise at least one of: timing parameters, cost conditions, or reliability conditions.

15. A non-transitory computer-readable medium storing instructions that, when executed by one or more computer processors of one or more computing devices, cause the one or more computing devices to perform operations comprising:
receiving a messaging request through an application programming interface, the messaging request being associated with message-associated delivery attributes;
selecting a message transmission plan based on the message-associated delivery attributes, the message transmission plan including at least one timing priority related property, wherein selecting the message transmission plan comprises applying a machine learning model to the message-associated delivery attributes to obtain an output of the machine learning model, wherein the output of the machine learning mode indicates a candidate message route for the message transmission plan; and
executing the message transmission plan with a timing of transmission based in part on the timing priority related property.

16. The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise analyzing the messaging request and identifying at least one predicted delivery attribute, the at least one predicted delivery attribute defining at least a subset of the message-associated delivery attributes.

17. The non-transitory computer-readable medium of claim 16 , wherein analyzing the messaging request and identifying the at least one predicted delivery attribute comprises detecting, using message content analysis, the message request as an interaction message; and wherein executing the message transmission plan with the timing of transmission based in part on the timing priority related property comprises executing the message transmission plan with high timing priority.

18. The non-transitory computer-readable medium of claim 15 , wherein the messaging request comprises request delivery attributes defining at least a subset of the message-associated delivery attributes, wherein the request delivery attributes comprise at least one set of: timing parameters, cost conditions, or reliability conditions.

Assignees

• Twilio Inc

Inventors

• Agarwal Amit
• Tan Peter
• Nazari Nariman

Classifications

• H04L51/226 Primary

  Delivery according to priorities · CPC title

• H04L51/046

  Interoperability with other network applications or services · CPC title

• H04L51/214

  using selective forwarding · CPC title

• H04L67/62 Primary

  Establishing a time schedule for servicing the requests · CPC title