Automated Debt Collection System for Financing Risk Reduction
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Solution Overview
Problem
Current debt collection methods and loan determination processes lack efficiency and accuracy, leading to increased risks for financing parties and potential human errors in status assignment and action management, which can result in suboptimal credit conditions and increased workload for courts.
Innovation Solution
A data processing system that allows for the entry of accounting data on accounts payable and payments, enabling financing parties to assess loan amounts based on real-time data, automating status updates and action assignments, and implementing criteria for initiating actions, thereby reducing risks and improving credit conditions while minimizing human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a financing party provides a loan based on traditional guidelines and percentages, then the process is simple and quick, but the risk assessment is insufficient and loan amounts are suboptimal
Solution Approach 1:
A data processing system acts as an intermediary between the creditor and the financing party. This system automatically collects, processes, and analyzes accounting data from the creditor's accounts payable, generating comprehensive risk assessments and loan amount recommendations. The intermediary system handles the complexity of data processing while maintaining simple interfaces for the users, thereby improving risk assessment accuracy without increasing operational complexity.
Solution Approach 2:
The patent replaces manual mechanical processes of risk assessment with automated computer-based processing. Instead of relying on manual analysis of accounting data and traditional percentage calculations, the system uses automated data processing, analysis algorithms, and computer-generated reports to assess risks and determine loan amounts, thereby improving accuracy while reducing manual workload.
2Reliability
If human intervention is used for status assignment and action management, then flexibility is maintained, but human errors occur and workload increases
Solution Approach 1:
The data processing system performs self-service by automatically assigning statuses to accounting data based on predefined criteria and initiating appropriate actions without requiring human intervention. The system monitors itself, updates statuses autonomously, and manages the debt collection process independently, thereby improving accuracy by eliminating human errors while maintaining high automation levels.
Solution Approach 2:
The system implements continuous feedback mechanisms where the status of accounting data and actions are automatically monitored and updated based on real-time information. The system receives feedback from various sources, processes this information automatically, and adjusts statuses and actions accordingly, ensuring high accuracy while maintaining automation and reducing human intervention.
3Reliability
If financing parties do not have real-time access to accounting data, then data security and privacy are maintained, but risk reduction opportunities are lost
Solution Approach 1:
The data processing system serves as a secure intermediary that collects and processes accounting data while maintaining appropriate security and privacy controls. It provides the financing party with real-time access to processed information through controlled interfaces, enabling risk reduction without compromising data security. The intermediary handles the balance between information accessibility and data protection.
Data Source
AI summary
The invention proposes an improvement for a method for collecting a debt. The method includes entering in a data processing system data at least including data concerning the debtor and the debt, permitting debt access to at least two parties to at least a part of the data entered in the system, and initiating an action for collecting the debt on a basis of the data entered in the database. The improvement comprises entering accounting data regarding accounts payable to the creditor and payments to the creditor into the system, enabling a financing party providing a loan to the creditor on the payable accounts to inspect at least a part of the accounting data for determining an amount of the loan based on at least the part of the accounting data.