Payment Funding Source Ranking System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individuals face difficulty in selecting the most suitable payment source for bills due to the complexity of managing multiple funding options, lacking a systematic approach to evaluate and prioritize these sources based on sufficiency, benefits, and costs.
Innovation Solution
A system and method that allow users to input preference information and details about their funding sources, scoring them based on sufficiency, benefits, and costs, and displaying them in order of preference for easy selection and payment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually evaluate multiple funding sources based on sufficiency, benefits, and costs, then they can make informed payment decisions, but the process becomes time-consuming and complex
Solution Approach 1:
The system automatically retrieves account information, balances, and transaction data from multiple funding sources without requiring manual user input. The system self-evaluates each funding source's sufficiency, benefits, and costs by comparing available funds against bill amounts and analyzing rewards programs, then presents the optimized selection to the user.
Solution Approach 2:
The manual mechanical process of evaluating each funding source is replaced with an automated computational system that calculates sufficiency scores, benefit scores, and cost scores algorithmically. The system substitutes human judgment with automated scoring mechanisms that objectively evaluate multiple criteria simultaneously.
2Adaptability or versatility
If users manage multiple funding sources with different characteristics, then they have more payment options and flexibility, but the complexity of selecting the best source increases
Solution Approach 1:
The evaluation of each funding source is segmented into three distinct scoring components: sufficiency score (can it cover the bill?), benefit score (rewards and perks), and cost score (fees and interest). This segmentation allows the system to handle multiple funding sources systematically by evaluating each component separately and then combining them into an overall recommendation.
Solution Approach 2:
The system transforms the complex qualitative assessment of multiple funding sources into quantitative parameters. Each funding source is evaluated using standardized scoring parameters (sufficiency 0-100, benefits 0-100, costs 0-100), allowing for objective comparison and automated ranking regardless of the number or type of funding sources.
3Measurement precision
If the system automatically retrieves and analyzes account information from multiple funding sources, then it can provide accurate recommendations, but it requires extensive user information and system integration
Solution Approach 1:
The system acts as an intermediary between the user's multiple funding sources and the bill payment decision. It retrieves information from various funding sources through standardized interfaces, processes the data through its evaluation algorithm, and presents the results to the user, thereby simplifying the integration complexity while maintaining evaluation accuracy.
Solution Approach 2:
The system is designed to work with multiple types of funding sources (bank accounts, credit cards, investment accounts) through a universal evaluation framework. The same sufficiency, benefits, and costs scoring mechanism applies regardless of the specific funding source type, reducing the need for source-specific integration complexity.
Data Source
AI summary
A system and method ranks funding sources to make payments according to user preferences, which may be both explicitly provided and learned, and the benefits and costs of using such funding sources, and displays the funding sources in ranked order, allows the user to select one or more funding sources, and makes the payment using the selected one or more funding sources.