Patent Application
20250200008
This invention relates to enterprise resource planning (ERP) systems, specifically to real-time integration frameworks that enable seamless communication between ERP systems and third-party applications such as e-commerce platforms, payment gateways, and warehouse management systems (WMS).
Modern ERP systems face significant challenges in integrating with third-party applications. Traditional integration methods rely heavily on batch processing, leading to delays in data synchronization, order processing, and decision-making. These inefficiencies result in data latency, scalability issues, and increased operational overhead, ultimately degrading customer experience.
Traditional batch-based ERP integration models have numerous limitations. Existing message queuing architectures, but without direct ERP integration for real-time event handling. Predictive analytics solutions are applied to ERP integrations in non-real-time environments.
Thus, there is a need for event-driven ERP integration framework for real-time data synchronization.
The present invention introduces an Event-Driven ERP Integration Framework that leverages real-time event streaming architectures, including Apache Kafka, AMQP, and SAP Event Mesh. This framework enables instantaneous data exchange between ERP systems and external applications, eliminating batch dependencies, enhancing scalability, and providing a highly responsive and fault-tolerant integration ecosystem.
Other objects and advantages of the present invention will become apparent to those skilled in the art upon reading the following detailed description of the preferred embodiments, in conjunction with the accompanying drawings, wherein like reference numerals have been used to designate like elements, and wherein:
The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present invention in any way.
It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. In addition, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.
The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.
According to one embodiment of the invention, the Event-Driven ERP Integration Framework introduces a real-time event-driven architecture (EDA) that facilitates asynchronous communication between ERP and third-party systems.
According to one embodiment of the invention, a system for real-time integration between ERP systems and third-party applications is disclosed. The system comprises an event bus utilizing message brokers such as Apache Kafka, AMQP, or SAP Event Mesh, a real-time data synchronization module that streams events as they occur, an asynchronous processing architecture that decouples ERP processes from third-party applications, an intelligent event handling module with filtering, transformation, routing, and AI-driven anomaly detection.
According to one embodiment of the invention, the following are the key features of the invention
Employs Apache Kafka, AMQP, or SAP Event Mesh for event-driven messaging.
Enables high-throughput, low-latency communication without direct API calls.
Streams events in real time, ensuring immediate synchronization across systems.
Enhances accuracy in order processing, inventory management, and payment reconciliation.
Decouples ERP core processes from third-party applications.
Dynamically scales event consumers to handle fluctuating transaction volumes.
Applies filtering, transformation, and routing rules to incoming events.
Utilizes AI algorithms for anomaly detection, enabling proactive error resolution.
Utilizes Apache Kafka, AMQP, or SAP Event Mesh for event-driven messaging.
Ensures low-latency, high-throughput communication.
Streams events as they occur, eliminating batch dependencies.
Enables instant synchronization of orders, inventory, and payments.
Decouples ERP processes from third-party applications.
Supports high-volume transactions with dynamically scalable event consumers.
Implements filtering, transformation, and routing of events based on predefined rules.
Uses AI-driven anomaly detection to identify and mitigate data discrepancies in real time.
According to one embodiment of the invention, use case implementations are implemented in the following domains:
According to one embodiment of the invention, advantages of the invention are:
The Event-Driven ERP Integration Framework revolutionizes enterprise system integrations by shifting from batch-based processing to a real-time event-driven model. Leveraging message-driven architectures and AI-enhanced anomaly detection, the framework ensures agile, responsive, and intelligent ERP integrations, empowering enterprises to excel in dynamic business environments.
It will be recognized that the above described subject matter may be embodied in other specific forms without departing from the scope or essential characteristics of the disclosure. Thus, it is understood that, the subject matter is not to be limited by the foregoing illustrative details, but it is rather to be defined by the appended claims.
While specific embodiments of the invention have been shown and described in detail to illustrate the novel and inventive features of the invention, it is understood that the invention may be embodied otherwise without departing from such principles.
