Mobile Device Geolocation-Based Payment Account Selection
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Solution Overview
Problem
Existing systems for mobile devices lack efficient methods to optimize payment transactions based on location, leading to increased user effort and reduced efficiency in selecting the best payment accounts for rewards and benefits.
Innovation Solution
A mobile device system that uses geolocation to determine the optimal order of payment accounts by predicting transactions based on location and user preferences, automatically selecting the best payment account for a given merchant category to maximize rewards and benefits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of payment accounts is used, then user control over payment selection is maintained, but user effort and processing time increase
Solution Approach 1:
The system performs automatic payment account selection based on location data and user preferences without requiring manual user intervention. The mobile device autonomously determines the optimal payment account by analyzing transaction context, location information, and stored preference data, thereby reducing user effort while maintaining informed decision-making
Solution Approach 2:
The system pre-configures payment account selection criteria and preferences in advance, storing them in the mobile device. When a transaction is detected, the system rapidly retrieves and applies these pre-established preferences to automatically select the optimal payment account, significantly reducing processing time compared to manual selection
2Productivity
If automatic payment account selection is implemented, then processing time is reduced, but user control and customization may be diminished
Solution Approach 1:
The system incorporates user feedback mechanisms that allow users to review, confirm, or modify automatic payment account selections. The system learns from user corrections and adjustments, refining its automatic selection algorithm to better align with user preferences over time, thereby maintaining both efficiency and user control
Solution Approach 2:
The payment account selection system dynamically adapts to user needs by allowing real-time modification of preferences and selection criteria. The system can switch between automatic and manual selection modes based on user input, and continuously updates its behavior based on transaction history and user feedback, ensuring both productivity and user control
3Measurement precision
If location-based transaction prediction is used, then payment account selection accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the payment account selection process into distinct functional modules: location data acquisition, transaction context analysis, preference data retrieval, and account selection. Each module handles a specific aspect of the process, making the overall complex system more manageable and maintainable while improving prediction accuracy through specialized processing
Data Source
AI summary
A mobile device having a position determination device and a mobile application configured, in response to the location of the mobile device determined by the position determination device, to: predict a transaction based at least in part on the location of the mobile device; select, based at least in part on the location of the mobile device, a first account for the transaction from a plurality of accounts identified by the identification information; and provide, via the user interface, an alert identifying the first account, before a user of the mobile device begins to make the transaction. The prediction can be made based on a location pattern relative to the location of a transaction terminal and/or the detection of short-range wireless signals of the transaction terminal.