Personalized Gambling Credit Limits With Real-Time Risk Backstop
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Solution Overview
Problem
Existing systems fail to effectively limit credit card debt accumulation for online gambling and gaming, as they do not consider an individual's overall financial capacity or budgetary needs, leading to unaffordable debt and potential loss of assets.
Innovation Solution
A system and method that integrates real-time monitoring and control of credit usage for online gambling and gaming activities, using a proprietary algorithm to set personalized credit limits based on individual financial data and spending patterns, sharing this information with credit providers to prevent excessive spending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and control of credit usage is implemented, then excessive credit card debt is prevented, but system complexity increases
Solution Approach 1:
The patent introduces a monitoring system that acts as an intermediary between credit card issuers and gambling/gaming operators. This intermediary collects data from multiple sources, processes it through algorithms to determine financial capacity, and communicates credit limits back to participants. The intermediary structure resolves the contradiction by centralizing the complex monitoring functions in a dedicated system rather than requiring complex integration across all existing platforms.
Solution Approach 2:
The system implements continuous feedback loops where credit usage data is collected in real-time, compared against predetermined financial capacity limits, and automatically adjusted. When users approach their limits, the system provides feedback to prevent further excessive spending. This automated feedback mechanism ensures reliable debt prevention without requiring manual intervention, managing system complexity through algorithmic automation.
2Adaptability or versatility
If personalized credit limits are set using proprietary algorithms, then financial capacity is optimized, but information processing requirements increase
Solution Approach 1:
The system performs preliminary actions by establishing predetermined credit limits based on financial capacity assessments before gambling or gaming activities begin. During the application process, the algorithm analyzes financial data, credit history, and spending patterns to set appropriate limits in advance. This preliminary setup reduces the need for complex real-time processing during actual gaming activities, as the framework for credit management is already established.
Solution Approach 2:
The proprietary algorithm dynamically adjusts credit limit parameters based on changing financial conditions, spending patterns, and risk assessments. The system can modify credit availability, spending thresholds, and monitoring intensity as parameters change. This adaptability allows personalized credit management without requiring complete system redesign, as the algorithm flexibly adjusts parameters within the existing framework.
3Measurement precision
If comprehensive financial data collection is implemented, then credit limit accuracy is improved, but user privacy concerns increase
Solution Approach 1:
The system extracts only the specific financial data elements necessary for determining credit capacity and spending patterns, rather than collecting comprehensive personal information. It focuses on extracting relevant financial metrics such as income levels, existing debt, credit utilization, and gambling spending history. By extracting only necessary data points and leaving out extraneous personal information, the system improves assessment accuracy while minimizing privacy intrusions.
Data Source
AI summary
A sponsored system and method for a user of gaming portals to place wagers to voluntarily establish with the assistance of the system sponsor an appropriate gambling budget for the user and to voluntarily limit the available aggregate of debt to a personalized credit limit so that the user's predetermined gambling budget is not exceeded. The compulsive gambler and/or electronic gaming player is protected by the system's identification of gambling risk patterns and/or electronic gaming habits. The system provides a “risk backstop” to prevent the accrual of debt from betting or electronic game playing that is beyond the individual user's financial capacity.