Intelligent Transaction Issue Notification System
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Solution Overview
Problem
Current systems lack an effective channel for comprehensive information sharing between multiple financial entities to anticipate and prevent resource loss due to malfeasant transactions, which can result in costly reversals or losses.
Innovation Solution
An intelligent system and method for expedited resource transaction issue notification and response, utilizing a common platform for real-time information sharing between entities, adaptive thresholds, and intelligent pattern recognition to identify potentially problematic transactions before processing, allowing for proactive intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive information sharing between multiple financial entities is implemented, then the ability to anticipate and prevent resource loss is improved, but the system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a shared database and communication platform as an intermediary between multiple financial entities. This intermediary consolidates the information sharing infrastructure, allowing entities to exchange transaction data and intelligence without establishing direct complex connections between each other, thus improving reliability while managing system complexity through centralization
Solution Approach 2:
The communication platform is designed to serve multiple functions: storing transaction data, sharing intelligence between entities, identifying suspicious patterns, and enabling coordinated responses. This multi-functionality reduces the need for separate specialized systems, improving prevention capability while avoiding the complexity of multiple independent infrastructure components
2Measurement precision
If real-time analysis of resource transactions is performed using adaptive thresholds, then the precision of identifying problematic transactions is improved, but the computational resources and processing time increase
Solution Approach 1:
The system performs preliminary filtering of transactions using adaptive thresholds before conducting full analysis. Transactions are first screened against dynamically adjusted criteria based on historical data and risk patterns, allowing the system to focus computational resources only on suspicious transactions rather than analyzing every transaction in real-time, thus improving identification accuracy while managing computational load
Solution Approach 2:
The analysis thresholds are made dynamic and adaptive rather than static. The system continuously adjusts thresholds based on emerging patterns, historical data, and risk levels, allowing it to improve precision over time while optimizing computational resource usage by adapting the stringency of analysis to current risk conditions
3Loss of energy
If post-processing transaction reversal is avoided through proactive identification, then financial losses are reduced, but the requirement for pre-processing analysis increases system demands
Solution Approach 1:
The system performs preliminary analysis and identification of problematic transactions before they are processed and settled. By detecting suspicious patterns and potential fraud in advance using the shared intelligence platform, the system enables proactive prevention measures that avoid the need for costly post-processing reversals, reducing financial loss while the pre-processing complexity is managed through the shared infrastructure
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for intelligent transaction information sharing, issue notification, and remedial response. By utilizing a common platform for information sharing between multiple financial entities, the invention provides a channel of communication between these entities in order to provide preemptive information as to potential problematic resource transfers. The system is also adaptive in that it can be adjusted based on the needs or goals of the entity or team utilizing it, and may adapt over time in an intelligent fashion to identify and alert of patterns developing over a cross-transaction dataset in real time.