Dynamic Discount Rate Adjustment for Credit Risk
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Solution Overview
Problem
The existing credit card systems face challenges in efficiently managing risk and adjusting discount rates, leading to higher interest rates for consumers with lower creditworthiness, which can discourage spending and limit access to credit.
Innovation Solution
A method and system for dynamically adjusting discount rates based on consumer creditworthiness, shifting the risk premium to merchant entities, using FICO risk scores and merchant-related data to optimize discount rates in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If discount rates are adjusted dynamically based on consumer creditworthiness, then access to credit is improved and risk is shared, but system complexity increases
Solution Approach 1:
The patent implements dynamic discount rates that automatically adjust based on real-time consumer creditworthiness assessments using FICO scores and behavioral data. This dynamic adjustment mechanism allows the system to adapt to changing consumer risk profiles without manual intervention, improving credit access while managing complexity through automated algorithms.
Solution Approach 2:
The system changes the discount rate parameter based on consumer creditworthiness metrics. By modifying this key economic parameter dynamically, the system can share risk between consumers and merchants, allowing higher-risk consumers to access credit while merchants bear portion of the risk through adjusted discount rates.
2Object-affected harmful factors
If risk premium is shifted to merchant entities, then consumer burden is reduced, but merchant cost increases
Solution Approach 1:
The patent applies different discount rates to different consumer segments based on their creditworthiness. High-risk consumers receive higher discount rates (shifting more risk to merchants), while low-risk consumers receive lower rates. This local differentiation allows the system to reduce overall consumer burden while distributing merchant costs according to actual risk levels.
Solution Approach 2:
The system introduces an intermediary risk-sharing mechanism where the discount rate acts as a mediator between consumer risk profiles and merchant costs. Rather than consumers directly bearing full risk through high interest rates, the intermediary discount rate structure distributes risk to merchants who can better absorb or price it into their operations.
3Measurement precision
If real-time adjustment is implemented, then risk management precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary creditworthiness assessments and establishes baseline discount rates before transactions occur. By pre-calculating risk profiles and setting appropriate discount rates in advance, the system achieves precise risk management without requiring complex real-time calculations during each transaction, thus minimizing processing time delays.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor consumer behavioral data and update creditworthiness assessments. This feedback loop allows the system to improve risk management precision over time by learning from actual transaction patterns, while the automated nature of the feedback process prevents significant processing time increases.
Data Source
AI summary
According to one embodiment, the present invention relates to a method and a system for dynamically adjusting discount rates for a closed loop transaction. A computer implemented method for dynamically adjusting discount rates for a card transaction comprises the steps of identifying credit worthiness of at least one consumer; assigning a credit level to a line of credit associated with a credit product for the at least one consumer wherein the credit product is accepted at an identified one or more merchants; assigning a financing charge to the line of credit; determining a discount rate based at least in part on the credit worthiness of the at least one consumer; and applying the discount rate when at least one transaction is made with the credit product; wherein the applied discount rate is adjusted based on the credit worthiness of the at least one consumer.