BLOCKCHAIN-BASED SMART COLLECTION MANAGEMENT SYSTEM

Abstract

This invention relates to a system (1) that speeds up collection processes and enables the prediction of financial risks by storing customer data on the blockchain.

Description

1 TARIFF BLOCKCHAIN-BASED SMART COLLECTION MANAGEMENT SYSTEM Technical Area This invention speeds up collection processes by storing customer data on the blockchain. and it relates to a system that enables the prediction of financial risks. Previous Technique Today, individuals and businesses need to manage data related to their activities. Multiple interconnected networks on a single network using a blockchain system The focus is on structures that include computer systems. Client-server based. In these systems, blockchain technology offers high security and prevents fraud. The aim is to... However, the fact that proof-of-work calculations create a very heavy burden, 15 Identity verification processes are inefficient in terms of time and cost. This is only done when the application is launched, and security measures are neglected afterwards. The shortcomings in this regard are becoming apparent. Therefore, considering the studies and shortcomings in the current technology, 20 when stored securely on blockchain infrastructure By storing data, we optimize collection processes with machine learning-powered analytics. a system is needed that enables monitoring and forecasting financial risks It is understood. United States Law No. US2021357928, which is included in the known state of the art. The patent document mentions a blockchain system. The patent in question... The invention described in the document concerns the organization data within each block. verifying regulatory authority while ensuring its validity and security. a blockchain system that offers the possibility of verifying the content of regulations 30 It is explained that the system involves multiple computer systems and data processing applications. 2 and consists of a blockchain creation component. Each block or data point is a with two secret codes: an "opening secret code" and a "closing secret code" It is linked. This system involves the transfer of regulatory data and information between blockchains. Blockchain ensures the secure exchange of hash values. Generated by the pre-creation component, it undergoes verification, editing, and 5 ensuring that authorization processes are carried out securely and efficiently. It makes it possible. Brief Description of the Invention The goal of this invention is to enable companies to use smart contracts and blockchain infrastructure. securely and dynamically managing data sharing permissions between machines It optimizes collection processes and reduces financial risks using learning algorithms. The goal is to create a system that enables prediction. Detailed Description of the Invention The "Blockchain Based Smart" project was carried out to achieve the purpose of this invention. The "Collection Management System" is shown in the attached document; Figure 1 shows a schematic view of the system that is the subject of the invention. The parts shown in the figure are individually numbered, and the corresponding numbers correspond to these numbers. given below: 1. System 2. Blockchain database 3. Server By storing customer data on the blockchain, it speeds up collection processes and improves financial efficiency. The system in question, which enables the prediction of risks (1); 3 - customer information, payment history, billing details, risk assessments, and legal information. keeping records of data related to documents, financial or personal information in contracts At least one interface structured to enable the definition of conditions for the data. containing at least one blockchain database (2) and, - Data exchange with financial or personal data on the blockchain database (2) 5 by performing data analysis through machine learning algorithms and contracts to carry out, by analyzing past and current data, to risk management units Predicting which data to focus on, multiple linearity Using regression algorithms to analyze collection success rates and artificial intelligence By developing strategies to increase collection rates using intelligence technology, we can get back to 10 It includes at least one server (3) configured to provide notification. The blockchain database (2) in the system in question (1) does not contain any communication Communicate with the server (3) and exchange data using the protocol It is structured to perform. Blockchain database (2), server (3) 15 It is structured to be managed by. Blockchain database (2), customer subscriber information, payment history, billing details, risk assessments, legal documents, credit scores, and other data are kept on record. is structured. Blockchain database (2), financial or contracts 20 It is structured to provide at least one interface to enable this. The server (3) in the system (1) which is the subject of the invention, uses any communication protocol Communicate and exchange data with the blockchain database (2) using It is configured to perform. Server (3), machine learning 25 to perform data analysis through algorithms and smart contracts It is configured. The server (3) performs analyses on past and current data. by making predictions about which data risk management units should focus on It is structured to be present and to direct the relevant teams accordingly. Server (3) used a multiple linear regression algorithm to determine the success of collection and 30 failure rates and analysis according to specific independent variables 4 It is configured to provide: Server (3), blockchain database (2) Data collected through this system is used for customer relationship management, billing, and credit cards. recording payments made via bank transfer or digital wallet It is structured accordingly. The server (3) is structured to handle financial or personal matters in the contracts. processing data, analyzing it with machine learning algorithms, and artificial intelligence 5 to develop strategies to increase collection rates using technology is structured. Server (3), collection success rates obtained as a result of analysis, Risk assessments and recommended actions with artificial intelligence technology for feedback. It is configured to provide notifications. Industrial Application of the Invention The system in question (1) controls the actions in the collection processes with smart contracts. Automating the prediction of financial risks in telecommunications, finance, and digital sectors. Securely store data of companies operating in service sectors 15 integrating and analyzing operational processes to increase collection success rates. It ensures efficiency. Based on these fundamental concepts, the invention focuses on "Blockchain-Based Smart Collection." It is possible to develop a wide variety of applications related to the Management System (1)” 20 and the invention cannot be limited to the examples described here, but mainly to the claims as stated.

Claims

REQUESTS 1. By storing customer data on the blockchain, it speeds up collection processes and... enabling the prediction of financial risks; - customer information, payment history, billing details, risk assessments 5 and keeping records of data relating to legal documents, contracts to enable the establishment of conditions relating to financial or personal data at least one blockchain database containing at least one interface structured (2) including and, - financial or personal data and data on the blockchain database (2) 10 machine learning algorithms and contracts by making purchases to perform data analysis through, historical and current data data that needs to be analyzed and focused on by risk units making predictions, multiple linear regression algorithm to analyze collection success rates using artificial intelligence technology 15 by developing strategies to increase collection rates and providing feedback. a server characterized by having at least one server (3) configured to provide system (1).

2. Communicate with the server (3) using any communication protocol 20 and blockchain data structured for exchanging data A system like the one in Claim 1, characterized by its base (2) (1).

3. Blockchain data configured to be managed by Server (3) A system like the one in Claim 1 or 2 characterized by its base (2) (1). 25 4. Customer subscriber information, payment history, billing details, risk. records data such as reviews, legal documents, and credit scores. characterized by the blockchain database (2) structured to keep it under control. a system like any of the above requests (1). 30 6 5. Sharing and consenting to the sharing of financial or personal data in contracts. at least one interface to enable the definition of the conditions for granting it. characterized by the blockchain database structured to provide (2) a system like any of the above-mentioned requests (1).

6. Using any communication protocol, connect to the blockchain database (2) structured for communication and data exchange in any of the above requests characterized by the server (3) such a system (1).

7. Data through machine learning algorithms and smart contracts characterized by the server (3) configured to carry out the analysis. a system like any of the above-mentioned requests (1).

8. By analyzing past and current data, which 15 risk units should be considered? to anticipate that the relevant teams need to focus on data and characterized by the server (3) configured to direct in this direction. a system like any of the above-mentioned requests (1).

9. Using a multiple linear regression algorithm, the success rate of collection and 20 failure rates and analysis according to specific independent variables the above characterized by the server (3) configured to provide a system like any of the requests (1).

10. Data collected via blockchain database (2), customer relations 25 management, billing and credit card, bank transfer or digital wallet structured to record payments made through in any of the above requests characterized by the server (3) such a system (1). 7 11. Machine learning by processing financial or personal data in contracts. to analyze with algorithms and collection rates using artificial intelligence technology server (3) configured to develop strategies to increase a system like any of the above characterized claims (1). 5 12. Collection success rates, risk assessments, and results obtained from the analysis. Providing feedback with artificial intelligence technology through suggested actions from the above requests characterized by the server (3) configured for a system like any of them (1). 10 20 30

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