Payroll-Linked Micro-Loan Platform with Blockchain Risk Scoring
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Solution Overview
Problem
Existing micro-loan systems are cumbersome, lack transparency, and do not effectively utilize payroll data to assess low-risk transactions between individuals, often relying on external banks or consigned credit companies with unclear fees and non-negotiable interest rates.
Innovation Solution
A system utilizing payroll and human capital management data to determine integrity scores for peer-to-peer micro-loan transactions, facilitated by a distributed ledger and smart contracts, enabling transparent negotiations and secure repayment through payroll deductions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional external banks or consigned credit companies are used for micro-loans, then loan transactions can be facilitated, but the process becomes cumbersome and lacks transparency with unclear fees and non-negotiable interest rates
Solution Approach 1:
The patent introduces a blockchain-based intermediary platform that mediates between borrowers and lenders. This platform uses smart contracts to automatically execute loan agreements with transparent, pre-programmed terms including fees and interest rates. The blockchain intermediary eliminates the need for traditional banks while providing full visibility of transaction terms to all parties involved.
Solution Approach 2:
The system implements feedback mechanisms where transaction data, repayment behavior, and performance metrics are continuously recorded on the blockchain and used to dynamically adjust loan terms and integrity scores. This creates a transparent feedback loop that improves operational efficiency while maintaining full visibility of how terms are determined and adjusted.
2Reliability
If payroll data is utilized to assess borrower risk, then risk assessment accuracy improves, but system complexity increases due to integration requirements
Solution Approach 1:
The patent merges the payroll system and loan assessment system into a unified blockchain platform. By combining these previously separate systems, the patent enables direct access to payroll data for risk assessment without requiring complex external integrations. The smart contracts automatically access and verify payroll information, simplifying the overall system architecture while improving risk assessment reliability.
Solution Approach 2:
The system enables payroll data to serve itself by automatically feeding information directly into the risk assessment smart contracts. The payroll system self-provides the necessary data without requiring manual intervention or complex integration interfaces, thereby improving reliability while minimizing added complexity.
3Reliability
If integrity scores based on human capital management information are implemented, then transaction risk reduction improves, but data processing requirements and operational complexity increase
Solution Approach 1:
The patent calculates and stores integrity scores in advance on the blockchain before loan transactions occur. By performing this data processing preliminary, the system has pre-computed risk assessments ready when needed, reducing the processing burden during actual loan operations and improving overall productivity while maintaining high reliability through comprehensive pre-analysis.
Solution Approach 2:
The system creates copies of relevant human capital management data and stores them on the blockchain for use in integrity score calculations. This copying approach allows the system to process and analyze data without repeatedly accessing the original complex HR systems, thereby reducing operational complexity while maintaining accurate risk assessment capabilities.
4Device complexity
If peer-to-peer micro-loan transactions are facilitated without traditional banking intermediaries, then operational complexities are reduced, but trust and verification mechanisms become more challenging to establish
Solution Approach 1:
The patent introduces a blockchain-based intermediary that facilitates peer-to-peer transactions without traditional banks. This blockchain intermediary provides automated verification through smart contracts and cryptographic proof mechanisms, establishing trust through code rather than institutional reputation. The system reduces operational complexity by eliminating bank intermediaries while maintaining reliability through decentralized verification.
Solution Approach 2:
The patent replaces mechanical trust-based verification systems with cryptographic and algorithmic verification. Instead of relying on human judgment or institutional trust, the system uses automated smart contracts and blockchain consensus mechanisms to verify transaction validity, thereby reducing operational complexity while enhancing reliability through deterministic, code-based verification.
Data Source
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Figure 2
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AI summary
The invention is directed to a method for facilitating micro-loan transactions, comprising: aggregating human capital management information; scrubbing the dataset; dividing the data into training data and test data to be used for building and testing a predictive model; constructing the predictive model; using the predictive model to calculate predicted borrower-users and lender-users and populating a database with the predicted values; converting the predicted values into integrity scores to form an index representing predicted borrower-users and lender-users, wherein the integrity scores are updated based on user feedback; receiving (1720) a loan transaction request (228) from a borrower-user (210); determining (1730) a risk score (230) for the loan transaction based at least on the borrower-user (210)'s integrity score (222); identifying (1740) a set of lender-users (212) based on the determined risk score (230) and the lender-users (212)' integrity scores (222); facilitating (1750) a negotiation of transaction terms (238) between the borrower-user (210) and the set of lender-users (212) to determine the transaction terms (238); responsive to finalization of the transaction terms (238), recording (1760) the loan transaction and the transaction terms (238) in a blockchain, and remitting loan funds to the borrower-user (210); responsive to a subsequent repayment of the loan transaction according to the transaction terms (238), soliciting (1770) peer-submitted feedback (226) from at least one of the borrower-user (210) and the set of lender-users (212); and updating (1780) the integrity score (222) for the borrower-¬user (210) and the set of lender-users (212) based on received peer-submitted feedback (226) regarding the loan transaction.