POS Transaction Processing with Dynamic Account Selection
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Solution Overview
Problem
Current point of sale (POS) transaction technologies do not effectively manage multiple financial accounts and incentives, leading to suboptimal transaction processing and lack of user benefits from available financial account rewards.
Innovation Solution
A computer-implemented method that identifies user financial accounts, retrieves account information, ranks accounts based on transaction incentives, and selects the best account for processing transactions, considering user preferences and vendor types, to facilitate efficient and incentive-driven transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select financial accounts for transactions, then users can control which account to use, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically selects the optimal financial account by evaluating transaction incentives, account balances, and user preferences without requiring manual user intervention. The processor autonomously determines which account to use based on predefined criteria and real-time account information, eliminating the time users would spend manually comparing and selecting accounts.
Solution Approach 2:
The system pre-ranks multiple financial accounts based on transaction incentives and account information before the transaction occurs. By preparing the ranked list of accounts in advance using stored user preferences and current account data, the system eliminates the need for time-consuming manual selection during the actual transaction process.
2Adaptability or versatility
If the system processes multiple financial accounts with different incentives, then users can maximize rewards and benefits, but the system complexity increases
Solution Approach 1:
The system segments the complex task of account selection into distinct functional components: retrieving account information, evaluating transaction incentives, applying user preferences, and ranking accounts. Each component handles a specific aspect of the process, making the overall system more manageable and maintainable despite handling multiple accounts with different incentives.
Solution Approach 2:
The system introduces an intermediary processing layer between the user and multiple financial accounts. This intermediary processor automatically manages the complexity of evaluating incentives and selecting accounts based on user preferences, shielding the user from the underlying complexity while enabling versatile account management.
3Productivity
If the system automatically selects accounts based on incentives, then transaction efficiency improves, but user control over account selection is reduced
Solution Approach 1:
The system dynamically balances automation and user control by allowing users to configure their preferences and criteria for account selection. Users can adjust their level of automation by modifying their preference settings, enabling them to maintain control over the selection criteria while benefiting from automated processing efficiency.
Data Source
AI summary
A computer-implemented method of point of sale transaction processing can include determining an identity of a user at a transaction site, identifying a plurality of financial accounts associated with the user, and for each financial account, accessing account information associated with the account. The method can include identifying a vendor type for the transaction site, selecting a financial account with which to process a transaction according to the vendor type and the account information for each of the plurality of accounts, and outputting the selected financial account. A list of financial accounts and incentives may be presented from which a user may select a particular financial account for processing the transaction.