Funds Transfer Account Aggregator for Accurate Automated Transactions
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Solution Overview
Problem
Financial institutions charge varying and unpredictable fees for funds transfer services, making it difficult for users to find the lowest cost option, and existing data aggregation systems often fail to accurately populate sensitive transaction data, leading to potential errors.
Innovation Solution
An account aggregator system that generates user accounts, stores data securely, and facilitates transactions by automatically populating correct data fields, generating accounts at new institutions if needed, and providing transaction confirmations without user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually enter transaction data at financial institution websites, then transaction accuracy may be improved through user review, but time consumption and error potential increase due to manual input
Solution Approach 1:
The system performs preliminary actions by automatically collecting and storing user financial data, recipient data, and account credentials in advance through the data aggregation module. When a transaction is initiated, this pre-collected data is automatically populated into the transaction form, eliminating the need for manual data entry at the time of transaction and significantly reducing both time consumption and potential for human error.
Solution Approach 2:
The system enables self-service by automatically filling transaction forms using stored user data without requiring user intervention. The executable module autonomously accesses the financial institution website, populates required fields with data from the user account vault, and submits the transaction, allowing the system to serve itself rather than requiring manual user input for each transaction.
2Reliability
If users manually input transaction data, then data verification may be improved through user review, but error potential increases due to human mistake
Solution Approach 1:
The system implements feedback mechanisms by automatically verifying transaction data against stored user profiles and account information. The verification module checks populated data for consistency and validity before submission, providing automatic feedback on data accuracy. This automated verification process reduces human error while maintaining high reliability through systematic validation checks.
Solution Approach 2:
The system creates accurate copies of user data from securely stored templates in the user account vault. Instead of requiring users to re-enter data, the system copies pre-validated information from the vault and populates transaction forms, ensuring data consistency and accuracy while eliminating transcription errors associated with manual re-entry.
3Ease of operation
If the system automatically populates all data fields, then user input time is reduced, but system complexity increases due to data management requirements
Solution Approach 1:
The system segments data management into distinct functional modules: a data aggregation module for collecting user information, a user account vault for secure storage, a verification module for validating data, and an executable module for transaction processing. This segmentation reduces overall system complexity by organizing complex data management tasks into manageable, specialized components, each handling specific aspects of the automated population process.
4Productivity
If the system monitors user browser state, then automated transaction initiation is improved, but user privacy concerns increase
Solution Approach 1:
The system uses an intermediary approach by detecting the presence of the executable in the user's browser environment rather than directly monitoring private user activities. The detection mechanism serves as a neutral intermediary that triggers automated population only when appropriate conditions are met, balancing productivity improvement with privacy respect by avoiding direct intrusion into user browsing behavior while still enabling efficient transaction initiation.
Data Source
AI summary
Systems and methods for a computing system for facilitating financial transactions are provided. The system is structured to aggregate user data including sender data and recipient data, and to facilitate creating and aggregating user accounts at multiple financial institutions. The system includes an account management circuit structured to generate a user account, an executable structured to determine whether a user browser has navigated to a first hyperlink, and a transaction circuit structured to facilitate a transaction. Specifically, the transaction circuit is structured to receive an indication that the user browser has accessed the first hyperlink, determine whether a first financial institution account exists, facilitate a financial transaction, and generate a notification including a confirmation that the transaction was completed.