Back-End Server Dynamic Request Value Adjustment
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Solution Overview
Problem
The process of reviewing and adjusting request values at a back-end application server is time-consuming and error-prone, especially when dealing with numerous requests from multiple third-party administrator platforms with varying rules.
Innovation Solution
A system and method where a back-end application server receives data streams from remote third-party administrators, applies pre-determined rules to adjust request values, and automatically transmits settlement instructions and transaction activity reports, providing transparency and accuracy in the adjustment process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and adjustment of request values is performed by experts, then accuracy of rule application is improved, but processing time and operational complexity increase significantly
Solution Approach 1:
The system enables self-service automation where the back-end application server automatically retrieves rules, applies them to requests, and generates settlement instructions without requiring manual expert intervention. The automated rule engine processes requests independently, eliminating the time-consuming manual review process while maintaining accuracy through systematic rule application.
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated electronic system. The back-end application server uses software-based rule retrieval and application mechanisms to substitute human experts, transforming the manual operational process into an automated computational system that processes requests electronically without physical human intervention.
2Reliability
If manual review processes are used to ensure rule compliance, then reliability of request processing is improved, but error rates increase due to human factors
Solution Approach 1:
The automated system performs self-service rule compliance verification by automatically retrieving applicable rules and applying them consistently to each request. This eliminates human error factors such as fatigue, distraction, and inconsistent interpretation, ensuring reliable and uniform rule application across all processed requests without manual intervention.
Solution Approach 2:
The system incorporates feedback mechanisms where the automated rule engine continuously verifies rule compliance and generates settlement instructions based on systematic application of retrieved rules. This feedback loop ensures that each request is processed according to established rules, maintaining high reliability and consistency while minimizing errors through automated verification.
3Adaptability or versatility
If the number of third-party administrator platforms increases, then system versatility and service coverage are improved, but operational complexity and difficulty of management increase
Solution Approach 1:
The back-end application server is designed with universal functionality to handle requests from multiple third-party administrator platforms through a single integrated system. The automated rule retrieval and application mechanism serves all platforms uniformly, eliminating the need for separate manual review processes for each platform and reducing operational complexity despite increased service coverage.
Solution Approach 2:
The system segments the complex multi-platform processing task into standardized automated components: rule retrieval, rule application, and settlement instruction generation. Each component handles requests from any third-party administrator platform independently through automation, breaking down the complexity of managing multiple platforms into manageable automated steps that reduce overall operational burden.
4Productivity
If automated rule application is implemented, then productivity and processing speed are improved, but system complexity increases
Solution Approach 1:
The patent implements automation by replacing manual mechanical review processes with electronic computational systems. The back-end application server uses software-based rule retrieval and automated application mechanisms to process requests at high speed without human intervention, achieving improved productivity through electronic substitution while managing system complexity through standardized automated workflows.
Data Source
AI summary
According to some embodiments, systems, methods, apparatus, computer program code and means may receive data streams from remote third-party administrator computer servers. A back-end application computer server may receive a set of requests from a first third-party administrator computer server, each request being associated with a request value. The back-end application server may retrieve a first set of pre-determined rules and automatically apply them to the set of requests, resulting in an adjusted request value and an overall value. The back-end computer server may then automatically transmit a settlement instruction, including the overall value, to an electronic transaction system, and render a transaction activity report display via a remote computer device, associated with the first third-party administrator computer server, including information about the set of requests, the adjusted request value along with an indication of a reason for the adjustment, and the overall value.


