Insurance Product Model Relationship Management
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Solution Overview
Problem
Existing insurance software faces challenges in efficiently managing and configuring complex interdependencies within insurance product models, requiring technical knowledge and being time-consuming and prone to coding errors.
Innovation Solution
A system and method for managing insurance product model relationships using a product designer and policy center, where insurance product models are configured and stored, allowing for easy editing and relationship rule management through a centralized table, reducing the need for custom coding and simplifying user interface configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional insurance software is used to manage product model interdependencies, then the system can store and organize insurance data, but the configuration process becomes tedious and requires technical knowledge
Solution Approach 1:
The patent introduces a specialized configuration tool as an intermediary between the user and the complex insurance product model system. This tool provides a user-friendly interface that abstracts away the underlying system complexity, allowing users to configure product relationships without needing to understand the technical implementation details. The intermediary translates simple user actions into complex system configurations automatically.
Solution Approach 2:
The system enables self-service configuration through automated relationship detection and validation. When users define product components, the system automatically establishes relationships between them based on predefined rules, eliminating the need for manual technical configuration. The system serves itself by auto-generating the complex interdependency structure from simpler user inputs.
2Productivity
If manual configuration of insurance product relationships is performed, then flexibility in customization is achieved, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The system incorporates automated feedback mechanisms that validate configurations in real-time. When users define product relationships, the system immediately checks for consistency, conflicts, and compliance with business rules, providing instant feedback on errors. This automated validation significantly reduces the error rate compared to manual configuration while maintaining configuration flexibility.
Solution Approach 2:
The system performs preliminary actions by pre-defining valid relationship templates and validation rules before the user configuration process. These pre-established frameworks guide users through the configuration process, ensuring that only valid relationships can be created. This preliminary preparation accelerates the configuration process by eliminating trial-and-error approaches.
3Adaptability or versatility
If custom coding is used to manage product model relationships, then specific relationship types can be implemented, but the system becomes harder to maintain and update
Solution Approach 1:
The patent implements a universal configuration framework that can handle multiple types of insurance product relationships through a single system. Instead of requiring separate custom code for each relationship type, the system provides a multi-functional platform that automatically adapts to different relationship configurations. This universal approach maintains versatility while dramatically improving ease of maintenance, as updates can be made centrally without affecting specific relationship implementations.
Data Source
AI summary
Managing insurance product model relationships is disclosed. A dependency data store storing dependency relationships of a plurality of source insurance product model patterns and a corresponding plurality of target insurance product model patterns is maintained. It is detected that a user interface display associated with a source insurance product model pattern is to be updated. The dependency data store is checked to identify a dependency relationship of the source insurance product model pattern and a corresponding target insurance product model pattern. A user interface display associated with the target insurance product model pattern is updated.