Payment Risk Model for Secure Fund Release
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Solution Overview
Problem
Current network-based commerce transaction systems lack efficient and secure payment mechanisms, leading to delayed payments to sellers and potential disputes due to the risk of fraudulent sellers and misrepresentation of products.
Innovation Solution
A system and method that generate a risk model based on seller-specific criteria to manage the release of funds from a holding account, ensuring timely and secure payments while mitigating fraud risks through a scoring algorithm and fraud prevention mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If funds are held in escrow until buyer approval, then buyer protection is improved, but payment speed to seller deteriorates
Solution Approach 1:
The system performs preliminary risk assessment and seller verification before the transaction occurs. Sellers are pre-screened using risk models that evaluate their credentials, transaction history, and feedback ratings. This preliminary action allows the system to identify low-risk sellers in advance, enabling faster fund release while maintaining buyer protection through pre-established risk thresholds.
Solution Approach 2:
The system dynamically adjusts the risk threshold parameters based on seller performance and transaction characteristics. For low-risk sellers with strong credentials and positive feedback, the system lowers the risk threshold, allowing faster fund release. For high-risk sellers, the threshold remains higher, requiring longer holding periods. This parameter adjustment resolves the contradiction by making payment speed conditional on verified risk levels.
2Productivity
If direct payment to seller is used, then payment speed is improved, but fraud risk increases
Solution Approach 1:
The system introduces a risk assessment intermediary that mediates between the buyer and seller. This intermediary evaluates seller credentials, transaction history, and risk factors before facilitating direct payment. The intermediary acts as a trust bridge, allowing fast direct payment to low-risk sellers while blocking or flagging high-risk transactions. This resolves the contradiction by filtering fraud risk through the intermediary assessment while maintaining payment speed for approved transactions.
Solution Approach 2:
The system performs preliminary fraud risk assessment before enabling direct payment. Sellers undergo pre-verification of their credentials, business licenses, and transaction history. This preliminary action identifies and flags potential fraud risks in advance, allowing the system to enable fast direct payment only for verified low-risk sellers, thus achieving both speed and security.
3Reliability
If risk assessment is performed, then fraud prevention is improved, but system complexity increases
Solution Approach 1:
The risk assessment system is segmented into modular components: credential verification module, transaction history analysis module, feedback rating module, and risk scoring module. Each module independently evaluates specific risk factors and contributes to the overall risk score. This segmentation allows the system to perform comprehensive fraud prevention without creating a monolithic complex system, as each module can be developed, maintained, and adjusted independently.
Solution Approach 2:
The system automatically performs risk assessment without requiring manual intervention. The risk model autonomously evaluates seller credentials, analyzes transaction patterns, calculates risk scores, and makes funding decisions based on pre-set thresholds. This self-service automation reduces system complexity by eliminating manual review processes while maintaining robust fraud prevention through algorithmic assessment.
Data Source
AI summary
A method and system to transfer payment to a seller of a network-based commerce transaction are described herein. The method includes performing a risk evaluation based on retrieved seller-specific data, and releasing funds from a holding account to the seller based on the risk evaluation.