IP Library Patent Application 17917129
Patent Application
App. No. 17/917,129

METHODS, SYSTEMS, AND STORAGE MEDIA FOR IMPLEMENTATION OF ENHANCED OPEN DIGITAL ARCHITECTURE FOR SUPPORT SYSTEM

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Patent No.
US None
App. No.
17/917,129
Abstract

Architectures, and methods and systems for implementation thereof are disclosed. A system for implementing business support system (BSS) architecture comprises a memory; and a processor to execute instructions to implement the architecture, which comprises: a plurality of layers, and real-time event streams transferring data between components of the layers, which comprise: an engagement and core commerce management layer for providing a plurality of user interfaces respectively corresponding to a plurality of use cases; an event based automation and user data platform layer comprising real-time customer data and a plurality of automation workflows for executing the plurality of use cases based on real-time customer data; a core BSS components layer; an intelligent management layer for managing insights, model development and execution of batch models; and a cloud infrastructure management layer configured providing cloud functionality for a Software as a Solution (SaaS) implementation of the BSS architecture.

Claims (46)

1 . A system for implementing a business support system (BSS) architecture, the system comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to implement the BSS architecture, the BSS architecture comprising:

a plurality of layers, and

real-time event streams for transferring real-time event streams of data between components of the plurality of layers,

wherein the plurality of layers comprises:

an engagement and core commerce management layer for providing a plurality of user interfaces respectively corresponding to a plurality of use cases for the BSS architecture;

an event based automation and user data platform layer comprising a real-time customer data platform (CDP) and a plurality of automation workflows for executing the plurality of use cases based on real-time data from the CDP;

a core BSS components layer comprising core BSS components;

an intelligent management layer for managing insights, model development and execution of batch models; and

a cloud infrastructure management layer configured to provide cloud functionality for a Software as a Solution (SaaS) implementation of the BSS architecture.

2 . The system according to claim 1 , wherein the BSS architecture further comprises an Open Application Programming Interface (API) for real time information provisioning of the data between the components.

3 . The system according to claim 1 , wherein the real-time event streams are Kafka event streams.

4 . The system according to claim 1 , wherein the BSS architecture further comprises management components used across the plurality of layers.

5 . The system according to claim 1 , wherein the plurality of user interfaces are respectively configurable by a customer of the SaaS implementation without hardcoding.

6 . The system according to claim 1 , wherein the BSS components are productized to the SaaS implementation.

7 . The system according to claim 1 , wherein the components of the plurality of layers are executable as microservices by the at least one processor.

8 . A method for implementing a business support system (BSS) architecture, the method comprising:

executing, by at least one processor, instructions to implement a plurality of layers of the BSS architecture; and

transferring data between components of the plurality of layers via real-time event streams,

wherein the plurality of layers comprises:

an engagement and core commerce management layer for providing a plurality of user interfaces respectively corresponding to a plurality of use cases for the BSS architecture;

an event based automation and user data platform layer comprising a real-time customer data platform (CDP) and a plurality of automation workflows for executing the plurality of use cases based on real-time data from the CDP;

a core BSS components layer comprising core BSS components;

an intelligent management layer for managing insights, model development and execution of batch models; and

a cloud infrastructure management layer configured to provide cloud functionality for a Software as a Solution (SaaS) implementation of the BSS architecture.

9 . The method according to claim 8 , wherein the BSS architecture further comprises an Open Application Programming Interface (API) for real time information provisioning of the data between the components.

10 . The method according to claim 8 , wherein the real-time event streams are Kafka event streams.

11 . The method according to claim 8 , wherein the BSS architecture further comprises management components used across the plurality of layers.

12 . The method according to claim 8 , wherein the plurality of user interfaces are respectively configurable by a customer of the SaaS implementation without hardcoding.

13 . The method according to claim 8 , wherein the BSS components are productized to the SaaS implementation.

14 . The method according to claim 8 , wherein the components of the plurality of layers are executable as microservices by the at least one processor.

15 . A non-transient computer readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method, the method comprising:

executing, by the at least one processor, instructions to implement a plurality of layers of a business support system (BSS) architecture; and

transferring data between components of the plurality of layers via real-time event streams,

wherein the plurality of layers comprises:

an engagement and core commerce management layer for providing a plurality of user interfaces respectively corresponding to a plurality of use cases for the BSS architecture;

an event based automation and user data platform layer comprising a real-time customer data platform (CDP) and a plurality of automation workflows for executing the plurality of use cases based on real-time data from the CDP;

a core BSS components layer comprising core BSS components;

an intelligent management layer for managing insights, model development and execution of batch models; and

a cloud infrastructure management layer configured to provide cloud functionality for a Software as a Solution (SaaS) implementation of the BSS architecture.

16 . The computer readable storage medium of claim 15 , wherein the BSS architecture further comprises an Open Application Programming Interface (API) for real time information provisioning of the data between the components.

17 . The computer readable storage medium of claim 15 , wherein the real-time event streams are Kafka event streams.

18 . The computer readable storage medium of claim 15 , wherein the BSS architecture further comprises management components used across the plurality of layers.

19 . The computer readable storage medium of claim 15 , wherein the plurality of user interfaces are respectively configurable by a customer of the SaaS implementation without hardcoding.

20 . The computer readable storage medium of claim 15 , wherein the BSS components are productized to the SaaS implementation.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2024
From: RAKUTEN SYMPHONY SINGAPORE PTE LTD
To: RAKUTEN SYMPHONY, INC.
Reel/Frame 068466/0598 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2022
From: KHANNA, KUMERESH
To: RAKUTEN SYMPHONY SINGAPORE PTE. LTD
Reel/Frame 061320/0992 →