B2B Integration Guideline Platform for Heterogeneous Systems
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Solution Overview
Problem
The process of business-to-business (B2B) integration is complex and time-consuming due to heterogeneous landscapes with overly complex and cryptic interfaces, leading to errors and inefficiencies in data transfer between trading partners.
Innovation Solution
A cloud-based service that uses an intelligent and crowd-sourced approach to provide message implementation guidelines and mapping guidelines, enabling collaborative guideline building and sharing between business partners, thereby simplifying the end-to-end B2B integration process through a unified tool, ensuring common understanding and transparency across all stages of the integration project.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional B2B integration interfaces are used, then data transfer between trading partners can be performed, but the process becomes overly complex and time-consuming
Solution Approach 1:
The patent introduces an intermediary platform that acts as a mediator between trading partners, providing standardized integration interfaces and automated mapping capabilities. This intermediary layer simplifies the integration process by handling the complexity of interface compatibility and data transformation, allowing businesses to connect without directly managing complex point-to-point interfaces.
Solution Approach 2:
The system enables dynamic parameter changes in integration interfaces through automated configuration and adaptation. By allowing interfaces to adapt their parameters based on the specific integration scenario and automatically adjusting mapping rules, the system reduces the need for manual configuration of complex interface parameters, thereby improving efficiency while managing complexity.
2Adaptability or versatility
If multiple heterogeneous B2B interfaces are implemented, then various trading partner requirements can be met, but errors and time consumption increase
Solution Approach 1:
The patent implements a universal integration platform that can handle multiple trading partner requirements through a single standardized interface. This multi-functional system supports various data formats, protocols, and business processes through automated adaptation, maintaining high reliability by applying consistent validation and mapping rules across all integrations rather than managing multiple specialized interfaces.
Solution Approach 2:
The system creates standardized templates and models for common integration scenarios that can be copied and adapted for different trading partners. By using pre-defined mapping templates and integration patterns, the system maintains accuracy through proven configurations while quickly adapting to new partners, reducing errors associated with custom-developed interfaces.
3Ease of operation
If manual B2B integration processes are used, then flexibility in handling different scenarios is maintained, but the process becomes resource intensive and error-prone
Solution Approach 1:
The patent implements self-service capabilities where the integration system automatically configures, validates, and optimizes integration processes without requiring extensive manual intervention. The system performs self-diagnosis, automatic error correction, and adaptive learning from integration patterns, significantly reducing resource consumption while maintaining operational simplicity through automated decision-making and configuration.
Data Source
AI summary
Techniques for managing communication between businesses include defining a plurality of business context parameters associated with a first entity and a second entity; retrieving a first set of business requirements from a first entity and a second set of business requirements from a second entity based on the business context parameters; generating a message implementation guideline including one or more source elements associated with the first set of business requirements; receiving a second message implementation guideline including one or more target elements from the second entity; and generating a mapping guideline including mapping entities between the one or more source elements and the one or more target elements.