Online Payment Selection for Rewards and Credit Utilization
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Solution Overview
Problem
Consumers face challenges in choosing the optimal payment method for online purchases due to the complexity of managing multiple credit cards with varying rewards and utilization thresholds, leading to suboptimal financial outcomes and increased cognitive load.
Innovation Solution
A system that integrates with a user's computing device to analyze financial data, user preferences, and transaction context to dynamically select the most favorable payment method, offering real-time recommendations and automated execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers manually analyze and select payment methods, then they can make informed decisions, but it increases time consumption and cognitive load
Solution Approach 1:
The system enables automated self-service by allowing the payment optimization system to automatically analyze financial data, evaluate multiple payment options, and select the optimal payment method without requiring manual consumer intervention. The system autonomously processes transaction data, compares reward structures, and executes payment decisions based on pre-set preferences and real-time conditions.
Solution Approach 2:
The patent replaces the manual mechanical process of analyzing payment options with an automated computational system. The system uses algorithms to process financial data, calculate reward values, and determine optimal payment methods, substituting human cognitive effort with automated computational analysis that occurs in real-time during transactions.
2Productivity
If consumers manually track multiple credit card rewards and utilization, then they can maximize benefits, but it increases complexity and error-proneness
Solution Approach 1:
The system merges multiple payment accounts, reward programs, and tracking functions into a single unified payment optimization system. It consolidates data from multiple credit cards, digital wallets, and reward programs, automatically integrating and analyzing all relevant information to determine the optimal payment method, thereby reducing the complexity of managing multiple separate tracking systems.
Solution Approach 2:
The patent creates a universal payment optimization system that handles multiple payment methods (credit cards, digital wallets, bank accounts), various reward types (cashback, travel points, loyalty rewards), and different transaction scenarios. This multi-functional system replaces the need for separate tracking mechanisms for each payment instrument and reward program.
3Ease of operation
If consumers use static recommendation systems, then they get simplified guidance, but they lack real-time optimization at point of sale
Solution Approach 1:
The system transitions from static pre-purchase recommendations to dynamic real-time optimization that adapts to current transaction conditions. It continuously monitors available credit, utilization thresholds, reward rates, and promotional offers at the moment of purchase, dynamically adjusting payment recommendations based on real-time data from connected financial accounts and merchant information.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously receives real-time data from financial accounts, updates reward calculations, and adjusts payment method recommendations based on current account balances, utilization rates, and promotional offers. The system processes feedback from transaction outcomes to refine future payment selections, ensuring optimal decisions at each point of sale.
Data Source
AI summary
The embodiments provided herein relate to a system for optimizing and automating the selection of a payment method used for online purchases. The system includes at least one user computing device in operable connection with a user network. An application server is in operable communication with the user network to host an application program for analyzing and determining an optimal method of payment. The application program includes a user interface module for providing access to the application program via the at least one user computing device. An online marketplace allows the user to select one or more goods and services and an analysis module for determining an optimal payment method using one or more financial metrics.


