Predictive Authorization for Float-Based Financial Transactions
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Solution Overview
Problem
Advances in settlement techniques have reduced float time in financial systems, impacting individuals who rely on float for financial practices, necessitating a mechanism to continue these practices without adverse effects.
Innovation Solution
Implementing predictive techniques to authorize transactions based on anticipated future account balances, allowing for real-time transactions without immediate balance sufficiency checks, thereby accommodating float reliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time balance checks are performed for transaction authorization, then transaction risk is reduced, but float-based financial practices are disrupted
Solution Approach 1:
The system performs preliminary actions by analyzing historical account data and predicting future balances before the actual transaction occurs. This allows the system to authorize transactions based on anticipated future balances rather than current balances, enabling float-based practices while maintaining risk control.
Solution Approach 2:
The patent introduces a predictive modeling system as an intermediary between the transaction request and the authorization decision. This intermediary uses historical data and algorithms to predict future account balances, serving as a mediator that reconciles the conflict between real-time risk control and float-based financial practices.
2Productivity
If float time is reduced through settlement technique advances, then clearing efficiency is improved, but consumers relying on float experience adverse impacts
Solution Approach 1:
The system changes the parameter used for authorization from current balance to predicted future balance. This parameter change allows the system to accommodate consumers who rely on float time while maintaining efficient clearing processes, as the prediction model accounts for expected fund availability.
Solution Approach 2:
The patent implements a dynamic authorization approach where the balance check is not static but based on predictive modeling of future account states. This dynamic system adapts to individual consumer patterns and transaction contexts, allowing float-based practices to continue despite reduced clearing times.
3Adaptability or versatility
If predictive techniques are used for transaction authorization, then float-based practices are accommodated, but system complexity increases
Solution Approach 1:
The predictive system operates autonomously by automatically analyzing historical account data, generating predictions, and making authorization decisions without requiring manual intervention. This self-service capability reduces operational complexity despite the sophisticated predictive modeling underlying the system.
Solution Approach 2:
The system creates simplified copies or representations of future account states through predictive modeling. Rather than managing complex real-time coordination of multiple accounts and transactions, the system works with predicted balance values that capture the essential future state, reducing system complexity.
Data Source
AI summary
Methods and systems are provided for processing a transaction. An authorization request for the transaction is received over a financial network. The authorization request includes account information and transaction information specifying at least a transaction amount. A financial account is identified from the account information. A history of the financial account is analyzed to generate a prediction of a balance of the financial account at a specified future time. It is determined that the balance of the financial account at the specified future time will support the transaction for the transaction amount. An approval response is accordingly generated for the transaction.