CN116800792A - Method for building intelligent routing platform system with multiple partners - Google Patents
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Abstract
The application discloses a method for building an intelligent routing platform system with multiple partners, which comprises the following steps of S1: an asset management platform; s2: a message adding mechanism management platform; s3: a fund party management platform; s4: and a client management platform. According to the method for building the intelligent routing platform system of the multiple partners, the intelligent routing platform of the multiple partners can realize real-time configuration and independent version management, so that the high flexibility of the system is ensured, and meanwhile, the maximization of benefits is met; the intelligent routing platform system of the multiple partners has strong network performance, and the connectivity and data sharing among the nodes are realized by utilizing the intelligent routing technology; a plurality of cooperators are supported, so that benefits of all the cooperators can be managed and integrated conveniently; supporting a plurality of different network protocols and security measures to ensure the safety and reliability of the platform; providing accurate and reliable credit scoring results through comprehensive evaluation and authenticity analysis, and reducing risks in lending; the extensive and real-time data sharing and trial calculation combines multiple components to optimize resource sharing.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method for building an intelligent routing platform system with multiple partners.
Background
The system of the financial science and technology platform comprises: cloud computing, big data, artificial intelligence, and blockchain have also driven the development of digital finance and era as technology is further applied.
The current intelligent routing platform system is configured into a unified version, so that the resource aggregation of single, isolated, scattered and non-standardized participants is adversely affected, such participants and the resources thereof only provide simple and basic services in aspects of industry fund configuration, fund product design, internal and external credit enhancement, financial technology enabling and the like, but cannot provide professional services in a targeted manner, the intelligent routing platform system is not prospective and inflexible to use, thus the operation efficiency is low, the asset value of each participant is low, and business risks are also present.
Disclosure of Invention
The application aims to provide a method for building an intelligent routing platform system with multiple partners, which aims to solve the problems that resources of single, isolated, scattered and non-standardized participants are inconvenient to gather, professional services can not be provided for the participants and the resources thereof, and the problems of low operation efficiency, low income and high risk are solved.
In order to achieve the above purpose, the application is realized by the following technical scheme: a multi-partner intelligent routing platform system building method comprises the following steps:
s1: the asset side management platform links interface requests of a plurality of asset sides to realize differentiated interface versions, configuration parameters and business requirements;
according to the use scene and the requirements, a proper network topology structure is designed, including accurate configuration of routers, switches and firewall network equipment; designing a plurality of edge nodes and center nodes to realize the coverage and management of the system so as to support a plurality of cooperators;
s2: the message adding mechanism management platform is freely matched according to different business rules;
s3: the fund party management platform configures the fund party business logic in real time, automatically calculates the flow income and automatically distributes differentiated flow;
s4: the client management platform outputs tags in real time in a wind control manner on the basis of basic information of clients, refines the characteristics of the passenger group according to different tags, and gives early warning to the whole flow;
as still further aspects of the application: in the step S1, system data are configured, and the data of each partner are added and configured in a platform system, wherein the data comprise parameters, data, key setting and authority setting of a system user and each node;
realizing a network communication protocol, selecting an appropriate network protocol, and establishing a quick and safe communication channel between each node;
the nodes can share, transfer and store data between the local and cloud platforms;
the intelligent routing technology is used, the structure is further optimized based on the network communication protocol and the multiprocessor technology, and the optimal routing route is determined so as to achieve higher data transmission speed and higher network efficiency.
As still further aspects of the application: in the step S1, advanced security control measures are applied to minimize network vulnerabilities and potential attack risks, so as to ensure the integrity and reliability of the system.
As still further aspects of the application: in the step S2, service rules are set through a custom interface and a template, so that the credit-enhancing mechanism management platform can be freely matched according to different service rules to manage information of different cooperators and credit scoring mechanisms;
analyzing and processing multidimensional data aiming at comprehensive evaluation of a plurality of rating institutions by collecting and storing data and rating results provided by the rating institutions;
the platform can adopt a multi-level comprehensive evaluation model to evaluate the letter increasing mechanism, wherein the evaluation comprises rule-based rating, quantitative analysis rating and qualitative analysis rating;
according to multiparty data sharing and analysis, risk early warning is carried out, a platform can monitor loan application and loan behaviors, personal information such as consumption behaviors of borrowers, credit records and the like is followed, potential loan default risks in the future are predicted, and an alarm is sent to inform a user;
the platform helps users to analyze business and financial data in detail through data mining, and on the premise of not affecting the quality and the utilization rate of the basic data of the platform, effective credit data are further extracted, and authenticity is assisted to be judged, so that a credit system is conveniently established.
As still further aspects of the application: in the step S3, the platform performs asset management on the integrated multiple fund providers, and provides diversified asset management tools to support management of various loan asset products such as different car loans, house loans, small micro-loans and the like;
the fund party management platform can freely divide fund categories to carry out fund management, coordinate and unify bank accounts, manage quota, asset configuration and other matters;
the platform can freely configure the business logic of the sponsor, and set the wind control strategy, the business process, the asset investment combination and the like, so that the whole financial business management process is more flexible and efficient.
As still further aspects of the application: the platform can calculate the benefits through the flow, automatically calculate the combination of different asset numbers, and realize the optimal combination as far as possible so as to ensure the maximization of the benefits;
the platform supports differentiated automatic flow distribution, and the distribution is carried out based on the attributes of clients or partners, so that the partners can obtain the flow differently;
as still further aspects of the application: in the step S4, when the client data is collected, the platform collects and integrates the client data of a plurality of partners, including client information, purchasing behavior, consumption preference and interaction history.
As still further aspects of the application: in step S4, a label is set for the client based on the data collected by the platform, and the platform can customize the client label.
As still further aspects of the application: in the step S4, real-time overall flow analysis and prediction are performed through big data, and an adjustment alarm is sent out in time, so that a corresponding market strategy is adjusted to achieve a better sales effect.
As still further aspects of the application: in the step S4, in order to perfect the customer management system and workflow, a targeted marketing strategy is made according to the accurate analysis of different customer groups
Compared with the prior art, the application provides a multi-partner intelligent routing platform system building method, which has the following beneficial effects:
1. the intelligent routing platform with multiple partners can realize real-time configuration and independent version management, and can meet the maximization of benefits while ensuring high flexibility of the system; the intelligent routing platform system of the multiple partners has strong network performance, and the connectivity and data sharing among the nodes are realized by utilizing the intelligent routing technology; a plurality of cooperators are supported, so that benefits of all the cooperators can be managed and integrated conveniently; supporting a plurality of different network protocols and security measures to ensure the safety and reliability of the platform; providing accurate and reliable credit scoring results by comprehensively evaluating and analyzing authenticity so as to reduce risks in lending; the method has the advantages that the multiple components are combined through extensive and real-time data sharing and trial calculation, the resource sharing is optimized, and the accuracy and the comprehensiveness of the prediction result are improved; multidimensional analysis and rule-based management support user-defined business rules and normalized motions, analysis and monitoring; through fund supervision and asset management, the platform can help risk control and guarantee the steady development of partner business; the differentiated service flow distribution is provided for the partner by automatically measuring and calculating the flow income and automatically distributing the flow, so that the service competitiveness is enhanced; the configuration of the business logic supports diversified and flexible management and operation, and is convenient for users to adjust and improve the business; through customer data analysis, the standardization degree of market positioning and marketing strategies can be greatly improved; the client management platform is definite in labor division, and effectively supports cooperation and collaboration of multiple partners, so that the overall marketing effect is improved; the flow and consumption trend can be accurately predicted by extensive and real-time data optimization analysis, and the market strategy can be alerted and adjusted in advance.
Drawings
FIG. 1 is a schematic diagram of a multi-partner intelligent routing platform system of the present application;
FIG. 2 is a schematic diagram of an asset side management platform in the construction of the multi-partner intelligent routing platform system of the present application;
FIG. 3 is a schematic diagram of a message adding mechanism management platform in the construction of the multi-partner intelligent routing platform system of the application;
FIG. 4 is a schematic diagram of a fund party management platform in the construction of the multi-partner intelligent routing platform system of the present application;
FIG. 5 is a schematic diagram of a customer management platform in the multi-partner intelligent routing platform system setup of the present application;
fig. 6 is a schematic diagram of an electronic device structure in the method for building a multi-partner intelligent routing platform system according to the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced otherwise than as described, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
Referring to fig. 1 to 6, in one embodiment of the present application, a method for building an intelligent routing platform system with multiple partners is provided, including the following steps:
s1: the asset side management platform links interface requests of a plurality of asset sides to realize differentiated interface versions, configuration parameters and business requirements;
according to the use scene and the requirements, a proper network topology structure is designed, including accurate configuration of routers, switches and firewall network equipment; designing a plurality of edge nodes and center nodes to realize the coverage and management of the system so as to support a plurality of cooperators;
s2: the message adding mechanism management platform is freely matched according to different business rules;
s3: the fund party management platform configures the fund party business logic in real time, automatically calculates the flow income and automatically distributes differentiated flow;
s4: and the client management platform outputs the labels in real time in a wind control manner on the basis of the basic information of the clients, refines the characteristics of the passenger group according to different labels, and performs early warning on the whole flow.
In the embodiment, the intelligent routing platform with multiple partners can realize real-time configuration and independent version management, and can meet the maximization of the benefit while ensuring high flexibility of the system.
Referring to fig. 2, in the step S1, system data is configured, and data of each partner is added and configured in the platform system, including parameters, data, key setting and authority setting of the system user and each node; and ensures that all nodes have access to all relevant data and material.
Realizing a network communication protocol, selecting an appropriate network protocol, and establishing a quick and safe communication channel between each node; the nodes can share, transfer and store data between the local and cloud platforms; the communication protocols are used for controlling data, so that the problems of delay and data loss caused by long-time waiting are avoided.
The intelligent routing technology is used, the structure is further optimized based on the network communication protocol and the multiprocessor technology, and the optimal routing route is determined so as to achieve higher data transmission speed and higher network efficiency; for a plurality of edge nodes, the intelligent routing technology can effectively solve the problems of data routing and distribution, and ensure easy and seamless data sharing.
Advanced security control measures are applied to minimize network vulnerabilities and potential attack risks so as to ensure the integrity and reliability of the system; external access is restricted by encryption and internal and external attacks and disturbances are prevented, preventing leakage of confidential data.
In summary, the intelligent routing platform system of multiple partners has strong network performance, and connectivity and data sharing among nodes are realized by utilizing an intelligent routing technology; a plurality of cooperators are supported, so that benefits of all the cooperators can be managed and integrated conveniently; and a plurality of different network protocols and security measures are supported to ensure the safety and reliability of the platform.
Referring to fig. 3, in the step S2, service rules are set through a custom interface and a template, so that the credit-enhancing mechanism management platform can be freely matched according to different service rules to manage information of different cooperators and credit scoring mechanisms; the user can manage the business rules of the partner, the scoring mechanism, the credit rating standard and the loan quota through brief setting and conduct classified management.
Analyzing and processing multidimensional data aiming at comprehensive evaluation of a plurality of rating institutions by collecting and storing data and rating results provided by the rating institutions; to evaluate how high the source quality is, which institutions comprehensively evaluate optimally and how to optimize the institution scoring factors.
The platform can adopt a multi-level comprehensive evaluation model to evaluate the letter increasing mechanism, wherein the evaluation comprises rule-based rating, quantitative analysis rating and qualitative analysis rating; the evaluation method for comprehensively analyzing the respective advantages and disadvantages ensures that the rating result is more data-based and reliable. At the same time, the platform also supports market valuation and provides a variety of data analysis and interactive account visualization tools to facilitate sharing and understanding.
According to multiparty data sharing and analysis, risk early warning is carried out, a platform can monitor loan application and loan behaviors, personal information such as consumption behaviors of borrowers, credit records and the like is followed, potential loan default risks in the future are predicted, and an alarm is sent to inform a user; meanwhile, the platform can also support intelligent credit assessment, and accurate and reliable credit scoring results are generated through some algorithms based on machine learning and artificial intelligence.
The platform helps users analyze business and financial data in detail through data mining, and on the premise of not affecting the quality and the utilization rate of basic data of the platform, effective credit data are further extracted, and authenticity is assisted to be judged, so that a credit system is conveniently established; the method comprises the step of drawing a trend chart of basic data, so that the platform supports visual interpretation of the data, and the understanding and participation of users on the data are enhanced.
In summary, by comprehensively evaluating and analyzing the authenticity, an accurate and reliable credit scoring result is provided to reduce risks in lending; the method has the advantages that the multiple components are combined through extensive and real-time data sharing and trial calculation, the resource sharing is optimized, and the accuracy and the comprehensiveness of the prediction result are improved; multidimensional analysis and rule-based management support user-defined business rules and normalized motions, analysis and monitoring.
Referring to fig. 4, in step S3, the platform performs asset management on multiple integrated funds providers, and provides various asset management tools to support management of various loan asset products such as different car loans, house loans, small and micro loans, etc.; asset management functions encompass management of different asset phases including valuation, daily monitoring and management, ticket management, and the like.
The fund party management platform can freely divide fund categories to carry out fund management, coordinate and unify bank accounts, manage quota, asset configuration and other matters; meanwhile, the platform supports money flow processing, unified management of fund interest rate and cost control of different sponsors, and allows optimization of application flow.
The platform can freely configure the business logic of the sponsor, and set a wind control strategy, a business process, an asset investment combination and the like, so that the whole financial business management process is more flexible and efficient; the user can apply predefined templates, configure high-level parameters, or adjust certain business logic that needs normal operation of the bank
The platform can calculate the benefits through the flow, automatically calculate the combination of different asset numbers, and realize the optimal combination as far as possible so as to ensure the maximization of the benefits; the automatic calculation module provides immediate daily flow data revenue propagation and accounting, investment funds profit calculation and other implementation schemes. Meanwhile, the platform also supports the configuration of various business data index panels, so that the user can track and know the overall situation of investment income conveniently.
The platform supports differentiated automatic flow distribution, and the distribution is carried out based on the attributes of clients or partners, so that the partners can obtain the flow differently; the traffic distribution strategy can be set in the business architecture, such as index conditions of designated time, region, transaction and result thereof, activity participation rate and the like.
In summary, through fund supervision and asset management, the platform can help risk control and guarantee the steady development of partner business; the differentiated service flow distribution is provided for the partner by automatically measuring and calculating the flow income and automatically distributing the flow, so that the service competitiveness is enhanced; the configuration of the business logic supports diversified and flexible management and operation, and is convenient for users to adjust and improve the business.
Referring to fig. 5, in the step S4, when the client data is collected, the platform collects and integrates a plurality of client data of the cooperators, including client information, purchasing behavior, consumption preference, and interaction history; through intelligent analysis of the data, different customer group characteristics can be depicted, and basic data support is provided for refined customer management.
Setting a label for a client based on data collected by a platform, wherein the platform can customize the client label; these tags are mainly used to categorize, group and group customers for use by management teams. For example, the customer tag may be set as multifaceted classification information of men, women, regions, purchasing dynamics, purchasing endurance, interests, etc.
Real-time overall flow analysis and prediction are carried out through big data, and an adjustment alarm is sent out timely, so that a corresponding market strategy is adjusted to achieve a better sales effect; the platform can provide a comprehensive analysis mode according to the past historical data, and comprises the steps of drawing a change trend graph and a table of each index so as to monitor the overall marketing effect and facilitate timely adjustment of the marketing strategy.
In order to perfect a client management system and a workflow, a targeted marketing strategy is made according to the accurate analysis of different client groups; the method comprises the step of periodically sending marketing channel information such as short messages, mails, weChats and the like.
In conclusion, through customer data analysis, the standardization degree of market positioning and marketing strategies can be greatly improved; the client management platform is definite in labor division, and effectively supports cooperation and collaboration of multiple partners, so that the overall marketing effect is improved; the flow and consumption trend can be accurately predicted by extensive and real-time data optimization analysis, and the market strategy can be alerted and adjusted in advance.
The preferred embodiments of the present application have been described in detail, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present application, and the various changes are included in the scope of the present application.
Claims (10)
1. The method for building the intelligent routing platform system with multiple partners is characterized by comprising the following steps:
s1: the asset side management platform links interface requests of a plurality of asset sides to realize differentiated interface versions, configuration parameters and business requirements;
according to the use scene and the requirements, a proper network topology structure is designed, including accurate configuration of routers, switches and firewall network equipment; designing a plurality of edge nodes and center nodes to realize the coverage and management of the system so as to support a plurality of cooperators;
s2: the message adding mechanism management platform is freely matched according to different business rules;
s3: the fund party management platform configures the fund party business logic in real time, automatically calculates the flow income and automatically distributes differentiated flow;
s4: and the client management platform outputs the labels in real time in a wind control manner on the basis of the basic information of the clients, refines the characteristics of the passenger group according to different labels, and performs early warning on the whole flow.
2. The multi-partner intelligent routing platform system building method of claim 1, wherein: in the step S1, system data are configured, and the data of each partner are added and configured in a platform system, wherein the data comprise parameters, data, key setting and authority setting of a system user and each node;
realizing a network communication protocol, selecting an appropriate network protocol, and establishing a quick and safe communication channel between each node;
the nodes can share, transfer and store data between the local and cloud platforms;
the intelligent routing technology is used, the structure is further optimized based on the network communication protocol and the multiprocessor technology, and the optimal routing route is determined so as to achieve higher data transmission speed and higher network efficiency.
3. The multi-partner intelligent routing platform system building method according to claim 2, wherein: in the step S1, advanced security control measures are applied to minimize network vulnerabilities and potential attack risks, so as to ensure the integrity and reliability of the system.
4. The multi-partner intelligent routing platform system building method of claim 1, wherein: in the step S2, service rules are set through a custom interface and a template, so that the credit-enhancing mechanism management platform can be freely matched according to different service rules to manage information of different cooperators and credit scoring mechanisms;
analyzing and processing multidimensional data aiming at comprehensive evaluation of a plurality of rating institutions by collecting and storing data and rating results provided by the rating institutions;
the platform can adopt a multi-level comprehensive evaluation model to evaluate the letter increasing mechanism, wherein the evaluation comprises rule-based rating, quantitative analysis rating and qualitative analysis rating;
according to multiparty data sharing and analysis, risk early warning is carried out, a platform can monitor loan application and loan behaviors, personal information such as consumption behaviors of borrowers, credit records and the like is followed, potential loan default risks in the future are predicted, and an alarm is sent to inform a user;
the platform helps users to analyze business and financial data in detail through data mining, and on the premise of not affecting the quality and the utilization rate of the basic data of the platform, effective credit data are further extracted, and authenticity is assisted to be judged, so that a credit system is conveniently established.
5. The multi-partner intelligent routing platform system building method of claim 1, wherein: in the step S3, the platform performs asset management on the integrated multiple fund providers, and provides diversified asset management tools to support management of various loan asset products such as different car loans, house loans, small micro-loans and the like;
the fund party management platform can freely divide fund categories to carry out fund management, coordinate and unify bank accounts, manage quota, asset configuration and other matters;
the platform can freely configure the business logic of the sponsor, and set the wind control strategy, the business process, the asset investment combination and the like, so that the whole financial business management process is more flexible and efficient.
6. The multi-partner intelligent routing platform system building method of claim 5, wherein: the platform can calculate the benefits through the flow, automatically calculate the combination of different asset numbers, and realize the optimal combination as far as possible so as to ensure the maximization of the benefits;
the platform supports differentiated automatic flow distribution, and the distribution is carried out based on the client or partner attribute, so that the partner can obtain the flow differently.
7. The multi-partner intelligent routing platform system building method of claim 1, wherein: in the step S4, when the client data is collected, the platform collects and integrates the client data of a plurality of partners, including client information, purchasing behavior, consumption preference and interaction history.
8. The multi-partner intelligent routing platform system building method of claim 7, wherein: in step S4, a label is set for the client based on the data collected by the platform, and the platform can customize the client label.
9. The multi-partner intelligent routing platform system building method of claim 8, wherein: in the step S4, real-time overall flow analysis and prediction are performed through big data, and an adjustment alarm is sent out in time, so that a corresponding market strategy is adjusted to achieve a better sales effect.
10. The multi-partner intelligent routing platform system building method of claim 9, wherein: in step S4, in order to perfect the customer management system and workflow, a targeted marketing strategy is made according to the accurate analysis of different customer groups.
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