Network Operational Decision Engine for Real-Time Resource Control
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Solution Overview
Problem
Users have limited control over instantaneous authorization or denial of resource distribution in existing systems, making it cumbersome and costly to implement tailored operational decisions based on specific criteria, and there is a need for improved resource distribution management that allows for real-time user-defined control.
Innovation Solution
A network operational decision engine (NODE) provides a centralized user interface for users to set and manage resource distribution constraints across various networks, authorizing or denying resource distribution requests based on user-defined criteria, including transactional restrictions, SKU codes, and merchant identifiers, and alerts users to irregular requests through a confidence score analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users want real-time control over resource distribution authorization, then user control capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a Network Operational Decision Engine (NODE) as an intermediary component between the user interface and the resource distribution network. This NODE acts as a mediator that receives operational decisions from users, stores them in a decision table, and automatically evaluates resource distribution requests against these decisions in real-time, thereby providing user control without directly increasing overall system complexity.
Solution Approach 2:
The system segments the resource distribution control function into a separate, modular decision engine component. By isolating the authorization logic into a dedicated NODE module with its own decision table and evaluation mechanisms, the patent enables real-time user control while containing complexity within a specific subsystem rather than distributing it across the entire system.
2Measurement precision
If the system implements tailored operational decisions based on specific criteria, then authorization precision is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by requiring users to pre-configure their operational decisions and criteria in advance through the user interface. These decisions are stored in the NODE's decision table before any resource distribution requests occur. When requests are received, the NODE simply evaluates them against the pre-established criteria, enabling precise authorization decisions to be made rapidly without real-time complex processing.
3Reliability
If the system provides comprehensive monitoring and alerting for irregular transactions, then detection capability is improved, but computational load increases
Solution Approach 1:
The patent implements feedback mechanisms where the NODE continuously monitors resource distribution requests and provides real-time feedback to users through alerts and notifications. The system compares each request against stored operational decisions and confidence scores, providing feedback only when irregularities are detected. This selective feedback approach maintains high detection capability while minimizing unnecessary computational processing of normal transactions.
Data Source
AI summary
Embodiments of the invention provide systems, computer program products, and methods for a network operational decisional engine (NODE) to allow individual users to set resource distribution constraints on various accounts over a number of different networks. By providing a centralized user interface and storing and tracking user configuration and account data, the invention recognizes and filters resource distribution requests based on operational decisions as specified by users in order to provide increased control over the authorization or denial of resource distribution requests. The NODE provides the ability to proactively control resource distribution constraints before requests for resource distribution are initiated, and allows for tailored operational decisions to be easily implemented based on a wide range of user-defined criteria.