CN114282835A

CN114282835A - Method and device for generating financing model in supply chain and electronic equipment

Info

Publication number: CN114282835A
Application number: CN202111633470.8A
Authority: CN
Inventors: 李俸希; 王熹佳; 周国庆
Original assignee: Agricultural Bank of China
Current assignee: Agricultural Bank of China
Priority date: 2021-12-28
Filing date: 2021-12-28
Publication date: 2022-04-05

Abstract

The embodiment of the disclosure provides a method and a device for generating a financing model in a supply chain and electronic equipment, and relates to the field of computers. The specific implementation scheme is as follows: reading at least one basic function module from a module library; in response to a model generation request for a target association subject in core subjects, determining a traffic type of the target association subject and the core subject; determining a target function module from at least one basic function module according to the service type; generating a financing model of the target association subject according to the target function module, and acquiring a financing page corresponding to the financing model; and outputting the financing page for the user initiating the model generation request. The technical scheme of the present disclosure improves the efficiency of establishing the financing model.

Description

Method and device for generating financing model in supply chain and electronic equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for generating a financing model in a supply chain, and an electronic device.

Background

As the economy evolves, there are many smaller companies or individuals in the supply chain of a super large company, which may be referred to as a core company, and companies or individuals located in its supply chain may be referred to as affiliates. For example, an a corporation is a core company, and the provider or distributor of the company may be referred to as a affiliated company. Since the core company has more products and the corresponding supply chain is more complex, related companies with different business relations with the core company are generated. The financing requirement of the associated company is higher due to the limitation of the company size. In practical application, a mathematical model corresponding to a financing product matched with each related company is manually established for each related company according to the business circle of the related company, and the mathematical model can be also called as a financing model. However, this way of separately establishing financing models for each affiliate is labor intensive, resulting in inefficient financing of the affiliate.

Disclosure of Invention

The disclosure provides a method and a device for generating a financing model in a supply chain for automatically generating the financing model, and electronic equipment.

According to a first aspect of the present disclosure, there is provided a method for generating a financing model in a supply chain, including:

reading at least one basic function module from a module library;

in response to a model generation request for a target associated subject in the core subjects, determining a business type of the target associated subject and the core subjects;

determining a target function module from at least one basic function module according to the service type;

generating a financing model of the target association subject according to the target function module, and acquiring a financing page corresponding to the financing model;

a financing page is output for the user initiating the model generation request.

According to a second aspect of the present disclosure, there is provided a financing model generation apparatus in a supply chain, comprising:

a module reading unit for reading at least one basic function module from a module library;

the type determining unit is used for responding to a model generation request aiming at a target correlation subject in the core subject, and determining the service types of the target correlation subject and the core subject;

the target determining unit is used for determining a target function module from at least one basic function module according to the service type;

the model processing unit is used for generating a financing model of the target association subject according to the target function module and acquiring a financing page corresponding to the financing model;

and the page determining unit is used for outputting the financing page for the user who initiates the model generation request.

According to a third aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.

According to the technology disclosed by the invention, the problem that the establishment efficiency of the financing model is low because the corresponding financing model needs to be manually determined for each associated main body according to the business district where the associated main body is located is solved, the module library is established to automatically obtain the target function module matched with the target associated main body by utilizing the module library, the fast establishment of the financing model of the target associated main body is realized, the model establishment scheme based on the module is realized, the automatic, efficient and accurate generation of the model is realized, and the establishment efficiency of the financial model is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a diagram illustrating an example application scenario of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure;

FIG. 2 is a flow diagram of one embodiment of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure;

FIG. 3 is a flow diagram of yet another embodiment of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure;

FIG. 4 is a diagram illustrating parameter inheritance and parameter submodels provided in accordance with an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of a financing model generation system composed of a data model layer and a view layer according to an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram illustrating an embodiment of a financing model generation facility in a supply chain according to an embodiment of the present disclosure;

FIG. 7 is a block diagram of an electronic device for implementing a method for generating a financing model in a supply chain in accordance with an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The technical scheme disclosed by the invention can be applied to a credit model establishing scene in the financial field, and the quick establishment of a credit model is realized by establishing a basic function model, so that the model establishing efficiency is improved.

In the prior art, supply chain management is a management mode which is oriented to market and customer requirements, and credit management plays a key role in normal development of enterprises in supply chain management. A supply chain may generally be composed of a core principal and an associated principal that has a supply relationship with the core principal. In general, the different association entities are specific to the provider circle to which they belong, since the types of traffic are more specific to the core entity. In order to perform better financial management on the associated main bodies and improve the financial efficiency of the associated main bodies, corresponding financing models can be set for the associated main bodies according to the service types of the associated main bodies, but in this way, a corresponding financing model needs to be manually and individually set for each associated main body, while in reality, the number of supply chains is actually large, the number of associated main bodies is huge, and the efficiency of building the financing model is low and the management efficiency of the supply chain is low due to the fact that the corresponding financing model is separately built for each associated main body.

In order to solve the above technical problem, in the embodiment of the present disclosure, at least one basic function module is determined from a module library, so that when a model generation request for a target associated subject in a core subject is obtained, a service type of the target associated subject and the core subject may be determined in response to the model generation request. And determining a target function module from at least one basic function module according to the service type, generating a financing model of the target association subject according to the target function module, and obtaining a financing page corresponding to the financing model. The module library is utilized to realize the basic function module, the module can be used as a model building scheme for building the foundation, the model can be automatically, efficiently and accurately generated, and the building efficiency of the financial model is improved. The obtained financing page can be displayed for the user, so that the user can timely know the established financing model, the effective display of the model is realized, and the management efficiency of the financing model is improved.

The technical solution of the present disclosure will be described in detail with reference to the accompanying drawings.

Referring to fig. 1, a diagram of an application scenario of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure is shown. The electronic device, for example, the computer 1 may present a trigger generation page of the model for the user, and when the user triggers a model generation request, may send the model generation request triggered by the user to the cloud server 2 configured with the technical solution of the present disclosure. After receiving the model generation request sent by the user, the cloud server 2 can automatically establish the financing model of the target association subject in the core subject according to the model generation method in the supply chain provided by the embodiment of the disclosure, and simultaneously obtain a financing page corresponding to the financing model, and send the financing page to the mobile phone 1. The handset 1 may present a financing page for the user.

Fig. 2 is a flowchart of an embodiment of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure, where the method may include the following steps:

201: at least one base function module is read from the module library.

At least one basic function module may be included in the module library. The basic function module can be a mathematical model which can realize the functions of the financial model part.

The method for generating the financing model in the supply chain according to the embodiment of the disclosure may be an electronic device, and the electronic device may be a background server. The background server can be configured with a module library, and the module library is used for providing optional basic function modules.

202: in response to a model generation request for a target correlation subject in the core subjects, a traffic type of the target correlation subject and the core subjects is determined.

The model generation request may be triggered by a financial management entity such as a bank, a regulatory body, etc. The financial management subject can view a management page displayed by the electronic equipment provided with the financing model generation method through the display, so that a model generation request for the target associated subject is triggered through the management page. The management page displayed in the display may be output by the electronic device.

The core agent may include one or more, and a model generation request may be initiated for a target associated agent of any one of the core agents. The model generation request may include: the body information of the core body and the body information of the target associated body. The model generation request may be initiated by the target correlation agent and sent to a backend server configured with embodiments of the present disclosure.

The background server may be a cloud server, a common server, and the like, and in the embodiment of the present disclosure, the specific type of the server is not limited too much. The subject may include a personal subject as well as a legal subject. An individual principal may refer to an individual user as a supply node in a supply chain. A corporate body may refer to a corporate as a supply node in a supply chain.

The model generation request may include body information of the associated body, and the body information may include a body name, a body name of a core body corresponding to the body name, a provisioning association with the core body, that is, a service type of the provisioning body and the core body, account information of the associated body, and flow information.

The business type may be a business model or business traffic model of the target associated subject and its corresponding core subject.

203: and determining a target function module from the at least one basic function module according to the service type.

The target function module is a target data module which can realize corresponding functions in the basic function module. The target function module may be a module matched with the service type in the at least one basic function module. Matching a service type may refer to being able to fulfill certain service requirements or service functions of the service type.

204: and generating a financing model of the target association subject according to the target function module, and acquiring a financing page corresponding to the financing model.

The financing module may be a financing mathematical model that can be used by the target association subject, and may specifically include information such as financing products, financing requirements, and financing certification that can be used by the target association subject. The financing page may be a web page that displays a financing model. The model information for the financing model may be displayed in the financing page as page content.

205: a financing page is output for the user initiating the model generation request.

Outputting the financing page for the user initiating the model generation request may include sending the financing page to the user initiating the model generation request, and controlling the user to present the financing page to the user.

In the embodiment of the disclosure, at least one basic function module is determined from the module library, so that when a model generation request for a target association subject in the core subject is obtained, the business type of the target association subject and the core subject can be determined in response to the model generation request. And determining a target function module from at least one basic function module according to the service type, generating a financing model of the target association subject according to the target function module, and obtaining a financing page corresponding to the financing model. The module library is utilized to realize the basic function module, the module can be used as a model building scheme for building the foundation, the model can be automatically, efficiently and accurately generated, and the building efficiency of the financial model is improved. The obtained financing page can be displayed for the user, so that the user can timely know the established financing model, the effective display of the model is realized, and the management efficiency of the financing model is improved.

As an embodiment, the step of establishing at least one basic function module in the module library is as follows:

at least one associated subject in at least one supply chain is determined. The supply chain includes a core agent and an association agent that has a supply relationship with the core agent.

And determining financing demand information corresponding to the at least one association subject according to the business relationship between the at least one association subject and the core subject.

And performing duplication elimination processing on the financing demand information corresponding to the at least one association main body respectively to obtain at least one target financing demand information.

And generating a financing basic module for the target financing demand information so as to obtain at least one financing basic module corresponding to the target financing demand information respectively.

And determining at least one financing basic module corresponding to the financing demand information as at least one basic function module in the module library.

Optionally, the supply chain may include at least one. Each supply chain may include a core principal and an association principal associated with the core principal presence service.

The service relationship between the association body and the core body may refer to information such as a service type, a service completion frequency, a last service completion time, and the like between the association body and the core body.

The financing demand information may be information that needs to be used in the financing process, and may include, for example: tax information, financing evidence, and associated certification information between the associated subject and the core subject.

In the embodiment of the disclosure, the financing demand information corresponding to at least one association subject may be obtained by obtaining at least one association subject in at least one supply chain, and the financing demand information corresponding to at least one association subject is subjected to deduplication processing to obtain at least one target financing demand information, where the financing demand information may be obtained from the financing demand of the association subject. After duplication removal, at least one target financing demand information can be obtained, and the financing demand information is determined, so that financing basic modules are respectively generated for the at least one target financing demand information, at least one basic function module is obtained, the module library is quickly and accurately established, and the more accurate and comprehensive module library is obtained.

In one possible design, the at least one target financing requirement information includes: one or more of posting demand information, accounts receivable information, order display information, document filling information. The notice demand information, the receivable account information, the order display information and the receipt filling information can be used as financing bases.

Wherein, for the basic module of the target financing demand information generation financing, include:

and generating at least one notice information module for the notice requirement information.

At least one account display module is generated for the accounts receivable information.

At least one order presentation module is generated for the order presentation information.

Or generating at least one document filling module for filling information of the document.

Determining at least one financing basic module corresponding to the financing demand information as at least one basic function module in the module library, including:

and determining at least one notice information module, at least one account display module, at least one order display module and/or at least one bill filling module as at least one basic function module in the module library.

The notice information module is a display module for notice information of the associated main body. The account display module is an output module corresponding to the account collection. The order display module is a module for displaying the orders of the core main body and the associated main body. The document filling module is a module required for filling the document. Each type of module may include at least one. For example, the at least one document filling module may include: the system comprises a newly added document module, one or more of an associated invoice module, an associated contract module, an associated trade module, an enterprise authority confirming module, a manager auditing module, an auditing passing module and a document newly added module. The at least one order presentation module may comprise: one or more of a historical order presentation module, a contract-in-progress presentation module, and a contract-completed but unfulfilled presentation module. The at least one account presentation module may include: the account payment display system comprises one or more of a current account amount display module, an unsettled amount display module, a to-be-paid amount display module and a waiting to-be-billed amount display module. The at least one advertisement information module may include: one or more of an advertisement presentation module, an advertisement revocation module, and a historical advertisement module. The above modules are merely exemplary and should not be construed as limiting the technical solutions of the present disclosure.

In addition, the target financing demand information may be related information associated with business or financing demand, in addition to the announcement demand information, accounts receivable information, order presentation information, document filling information. For example, it may further include: the information shown in the present disclosure is only exemplary and should not be construed as a limitation to the technical solution of the present disclosure.

In the embodiment of the disclosure, one or more of the bulletin demand information, the receivable account information, the order display information and the receipt filling information are determined as at least one target financing demand information, the target financing demand information is accurately and quickly acquired, a corresponding basic module is generated for each target demand information, and the basic modules are accurately generated. Accurate module generation is carried out on different target financing demand information, and generation efficiency and generation reliability are improved.

As shown in fig. 3, a flowchart of an embodiment of a method for generating a financing model in a supply chain according to an embodiment of the present disclosure may include the following steps:

301: at least one base function module is read from the module library.

It should be noted that, some steps in the embodiment of the present disclosure are the same as some steps in the embodiment shown in fig. 1, and are not repeated for the sake of simplicity of description.

302: in response to a model generation request for a target correlation subject in the core subjects, a traffic type of the target correlation subject and the core subjects is determined.

303: and determining a target function module from the at least one basic function module according to the service type.

304: the target function module is output for the user initiating the model generation request.

305: and acquiring parameter data set by a user for the target function module, and detecting the confirmation operation triggered by the user for the target function module.

In practical application, the accurate setting of the target function module can be realized by setting corresponding parameter data for each target function module.

Optionally, the method may further include: and receiving the adjustment operation of the target function module by the user, acquiring the adjusted target function module, and generating a financing model of the target association subject according to the parameter data of the adjusted target function module. The adjusting operation may include: add operations or delete operations. The adjustment operation may include a deleted target function module or a newly added target function module from the base function module.

306: and generating a financing model of the target association subject according to the parameter data of the target function module, and acquiring a financing page corresponding to the financing model.

307: a financing page is output for the user initiating the model generation request.

In the embodiment of the disclosure, after the target function module is determined, parameter data set by the user for the target function module may be acquired, and when a confirmation operation of the user on the target function module is detected, a financing model of the target associated subject is generated according to the parameter data of the target function module, and a financing page corresponding to the financing model is acquired. When the selection of the target function module is automatically, efficiently and accurately completed, the target function module can be displayed to a user, the accurate setting of the model is realized, and the efficiency of establishing the financial model is improved.

As an embodiment, acquiring parameter data set by a user for a target function module includes:

determining public parameters, product parameters, platform parameters and business circle parameters which are associated with the target function module according to the target function module;

sequentially determining business circle parameter data of the business circle parameters, platform parameter data of the platform parameters, product parameter data of the product parameters and public parameter data of the public parameters according to the inheritance relationship of the business circle parameters, the platform parameters, the product parameters and the public parameters;

the method comprises the following steps of generating a financing model of a target association subject according to a target function module, and obtaining a financing page corresponding to the financing model, wherein the financing page comprises the following steps:

generating a business circle sub-model in the financing model according to the business circle parameter data; the business district submodel comprises at least one business district content information;

generating a platform sub-model in the financing model according to the platform parameter data; the platform submodel comprises at least one platform rule information;

generating a product sub-model in the financing model according to the product parameter data; the product sub-model comprises at least one product rule information;

generating a financing system sub-model in the financing model according to the public parameter data; the financing system submodel comprises a financing rule information display;

determining a financing model based on the business circle submodel, the platform submodel, the product submodel and the financing system submodel;

and respectively determining a business zone page corresponding to the business zone submodel, a platform page corresponding to the platform submodel, a product page corresponding to the product submodel and a financing system page corresponding to the financing system submodel.

In the embodiment of the present disclosure, the model parameters may include public parameters, product parameters, platform parameters, and business circles parameters. In the process of setting parameter data, different parameters can be respectively set in a targeted manner to obtain accurate parameter data, and then different parameter data are utilized to realize more comprehensive establishment of a business district sub-model, a platform sub-model, a product sub-model and a financing system sub-model, so that a financing model with more comprehensive and more accurate expression contents is obtained. Through setting different parameters, the financing model can be ensured to be more accurate and to be more matched with the actual requirements of the electronic equipment.

In some embodiments, the business turn parameters include: private business circle parameters belonging to a specific business circle and public business circle parameters belonging to all business circles; the platform parameters include: private platform parameters belonging to a specific platform and public platform parameters belonging to all platforms; the product parameters include: product private parameters belonging to a specific product and public product parameters belonging to all products; the public parameters include public system parameters belonging to all financing systems.

Optionally, the public parameter may be a parameter that can be used by the global public, and may include: one or more of evaluation grade parameters, credit line parameters, examination and approval parameters, contract parameters, repayment parameters and the like.

Optionally, the product parameters may include: evaluation grade parameters, credit line parameters, examination and approval parameters, contract parameters, repayment parameters, third party credit codes, warranty rate parameters and the like. The evaluation grade parameter, the credit line parameter, the examination and approval parameter, the contract parameter and the repayment parameter inherit the public parameter and belong to the public product parameters of all products. The third party credit code, the warranty rate and other parameters belong to the product private parameters of the specific product.

Optionally, the platform parameters may include: evaluation grade parameters, credit line parameters, examination and approval parameters, contract parameters, repayment parameters, warranty rate parameters, online contract signing parameters and the like. The evaluation grade parameter, the credit line parameter, the examination and approval parameter, the contract parameter, the repayment parameter and the warranty rate belong to the public platform parameters of all platforms. The online contract signing parameters belong to private platform parameters of a specific platform.

Optionally, the business turn parameters may include: evaluation grade parameters, credit line parameters, examination and approval parameters, contract parameters, repayment parameters, warranty rate parameters, associated document parameters and the like. Wherein, the evaluation grade parameter, the credit line parameter, the examination and approval parameter, the contract parameter, the repayment parameter and the warranty rate parameter belong to the public business district parameters of all business districts; the associated document parameter belongs to a private business district parameter of a specific business district.

In the embodiment of the disclosure, the public parameters and the private parameters are divided for different model parameters, so that the parameters of the model are more accurate, and the setting efficiency is higher.

In some embodiments, the inheritance relationships of the business circle parameters, the platform parameters, the product parameters, and the public parameters include: the business circle parameters inherit the platform parameters, the platform parameters inherit the product parameters, and the product parameters inherit the public parameters.

According to the inheritance relationship of the business circle parameters, the platform parameters, the product parameters and the public parameters, the business circle parameter data of the business circle parameters, the platform parameter data of the platform parameters, the product parameter data of the product parameters and the public parameter data of the public parameters are sequentially determined, and the method comprises the following steps:

determining system parameter data of the public parameters;

according to the system parameter data, combining the data set by the user for the product parameters to obtain the product parameter data of the product parameters;

according to the product parameter data, platform parameter data of the platform parameters are obtained by combining data set for the platform parameters by a user;

and according to the platform parameter data, acquiring business circle parameter data of the business circle parameters by combining data set by the user for the business circle parameters.

For easy understanding, as shown in fig. 4, a schematic diagram of parameter inheritance and parameter submodel is provided for the embodiment of the present disclosure. Referring to fig. 4, the public parameter 401 may be a global parameter, and the product parameter 402 may inherit the public parameter 401; the platform parameters 403 may inherit the product parameters 402; the business turn parameters 404 may inherit the platform parameters 403. The use of parameter data can be realized through inheritance to complete model establishment. In general, the public parameters 401 may correspond to a range of financial products, such as the A2.0 product hierarchy 405 in FIG. 4, and several financial product models 406 may be included under the product hierarchy 405, each of which may be expressed by corresponding platform parameters. Each financial product model may correspond to a corresponding core subject, i.e., to achieve a corresponding delivery of the product to each supply chain. Also for example, in fig. 4, it is assumed that M product models in the financial product models can be delivered to several platform models 407, and each platform model can be represented by corresponding platform parameters. And the platform can put the corresponding product into the business district where the corresponding associated main body is located. Also taking fig. 4 as an example, it is assumed that the S1 platform in the platform model 406 includes a business circle a and a business circle B, and the S2 and S3 platforms each include a business circle C, a business circle D, and a business circle E. In fig. 4, taking the business circle C as an example, the financing model of the associated subject belonging to the business circle C in the associated subjects related to the S2 platform or the S3 platform can be obtained by: the business circle submodel, the platform submodel, the product submodel and the financing system submodel are determined, namely, the business circle C model, the platform S2 or S3 model, the M product model and the A2.0 product system are determined. And comprehensively and accurately establishing a financing model of the associated main body by utilizing the business circle submodel, the platform submodel, the product submodel and the financing system submodel.

In the embodiment of the disclosure, the inheritance relations of the business circle parameters, the platform parameters, the product parameters and the public parameters are determined, and then according to the inheritance relations, the confirmation of the parameter data of each parameter is realized, the accurate parameter data of each parameter is obtained, and the efficient and accurate management of the parameter data is realized.

In one possible design, generating a financing model of a target associated subject according to a target function module, and obtaining a financing page corresponding to the financing model, the method includes:

and generating a financing model of the target association subject by using the target function module in the data model layer.

And displaying the financing model on the view layer to obtain a financing page corresponding to the financing model.

Fig. 5 is a schematic structural diagram of a financing model generation system composed of a data model layer and a view layer according to an embodiment of the present disclosure. Referring to the Data Model layer 501 and the view layer 502 in fig. 5, Data interaction and event monitoring can be realized through Data bridges (Data Bindings) and Document Object Model monitoring (DOM) folders, and the like, so that the financing Model and the financing page corresponding to the financing Model are determined. The view layer and the document object model in the target function module can perform page display control to realize the display of the financing page. The data model layer can perform data setting and other processing on the object-oriented related objects in the target function module, so that the establishment of a financing model is realized, the data of related parameters is set, and the establishment of the financing model is realized.

In the embodiment of the disclosure, the establishment of the financing model and the generation of the financing page are managed independently through the data model layer and the view layer, so that the generation efficiency of the financing model and the management efficiency of the financing page are improved.

As another embodiment, after generating a financing model of a target associated subject according to a target function module and obtaining a financing page corresponding to the financing model, the method further includes:

detecting a financing request initiated by a target association subject, and outputting a financing page for the target association subject;

acquiring financing information provided by a target association main body according to a financing page;

and auditing the financing information to obtain a financing result of the target association subject, and outputting the financing result for the target association subject.

Optionally, detecting a financing request initiated by the target association subject, and outputting a financing page for the target association subject may include: and detecting a financing request sent by the electronic equipment of the target association subject, sending a financing page to the electronic equipment, and outputting the financing page serving as the target association subject by the electronic equipment.

The financing information can be provided for the target associated body through a financing page, and parameters needing to be provided by the target associated body in the parameters in the financing model can be displayed in the financing page, so that the financing information can be acquired. The financing information may include, for example, information such as the amount of money requested for financing, certification material, and the like.

In the embodiment of the present disclosure, after the financing model of the target associated subject is obtained, the financing request of the target associated subject may be processed. When the financing information provided by the target association subject through the financing page is obtained, the financing information can be audited, and a financing result of the target association subject is obtained and can be output for the target association subject. Through financing interaction with the target associated subject, the subject information of the financing associated subject can be ensured, fast intelligent processing of financing requests is realized, and financing processing efficiency is improved.

As shown in fig. 6, a schematic structural diagram of an embodiment of an apparatus for generating a financing model in a supply chain according to an embodiment of the present disclosure may include the following units:

module reading unit 601: for reading at least one basic function module from the module library;

type determination unit 602: the method comprises the steps of responding to a model generation request aiming at a target correlation subject in a core subject, and determining the business types of the target correlation subject and the core subject;

the target determination unit 603: the system comprises a base function module, a target function module and a plurality of functional modules, wherein the base function module is used for determining the target function module from at least one base function module according to the service type;

the model processing unit 604: the financing module is used for generating a financing model of the target association subject according to the target function module and obtaining a financing page corresponding to the financing model;

the page determination unit 605: for outputting a financing page for a user initiating a model generation request.

As an embodiment, the apparatus may further include:

an association determination unit for determining at least one association subject in at least one supply chain; the supply chain comprises a core main body and an association main body which has a supply relation with the core main body;

the information determining unit is used for determining financing demand information corresponding to at least one association main body according to the business relation between the at least one association main body and the core main body;

the information duplication removing unit is used for carrying out duplication removing processing on the financing demand information respectively corresponding to the at least one associated main body to obtain at least one target financing demand information;

the module generating unit is used for generating a financing basic module for the target financing demand information so as to obtain at least one financing basic module corresponding to the target financing demand information respectively;

and the module determining unit is used for determining the financing basic module corresponding to the financing demand information as at least one basic function module in the module library.

In one possible design, the at least one target financing requirement information includes: one or more of demand information, receivable account information, order display information, and document filling information are announced;

a module generation unit comprising:

the first generation module is used for generating at least one notice information module for the notice demand information;

the second generating module is used for generating at least one account displaying module for the receivable account information;

the third generation module is used for generating at least one order display module for the order display information;

or, the fourth generation module is used for generating at least one document filling module for the document filling information;

a module determination unit comprising:

and the basic determining module is used for determining at least one notice information module, at least one account displaying module, at least one order displaying module and/or at least one bill filling module as at least one basic function module in the module library.

As still another embodiment, the method further includes:

the module output unit is used for outputting the target function module for the user;

the parameter acquisition unit is used for acquiring parameter data set by a user for the target function module and detecting the confirmation operation triggered by the user on the target function module;

a model processing unit comprising:

and the first processing module is used for generating a financing model of the target association subject according to the parameter data of the target function module and obtaining a financing page corresponding to the financing model.

In one possible design, the parameter obtaining unit includes:

the parameter determining module is used for determining public parameters, product parameters, platform parameters and business circle parameters which are associated with the target function module according to the target function module;

the relation determining module is used for sequentially determining business circle parameter data of the business circle parameters, platform parameter data of the platform parameters, product parameter data of the product parameters and public parameter data of the public parameters according to the inheritance relation of the business circle parameters, the platform parameters, the product parameters and the public parameters;

a first processing module comprising:

the first generation submodule is used for generating a business circle submodel in the financing model according to the business circle parameter data; the business district submodel comprises at least one business district content information;

the second generation submodule is used for generating a platform submodel in the financing model according to the platform parameter data; the platform submodel comprises at least one platform rule information;

the third generation submodule is used for generating a product sub-model in the financing model according to the product parameter data; the product sub-model comprises at least one product rule information;

the fourth generation submodule is used for generating a financing system submodel in the financing model according to the public parameter data; the financing system submodel comprises a financing rule information display;

the model determining submodule is used for determining a financing model based on the business circle submodel, the platform submodel, the product submodel and the financing system submodel;

and the page generation submodule is used for respectively determining a business circle page corresponding to the business circle submodel, a platform page corresponding to the platform submodel, a product page corresponding to the product submodel and a financing system page corresponding to the financing system submodel.

In one possible design, the business turn parameters include: private business circle parameters belonging to a specific business circle and public business circle parameters belonging to all business circles; the platform parameters include: private platform parameters belonging to a specific platform and public platform parameters belonging to all platforms; the product parameters include: product private parameters belonging to a specific product and public product parameters belonging to all products; the public parameters include public system parameters belonging to all financing systems.

In some embodiments, the inheritance relationships of the business circle parameters, the platform parameters, the product parameters, and the public parameters include: the business circle parameters inherit the platform parameters, the platform parameters inherit the product parameters, and the product parameters inherit the public parameters;

a relationship determination module comprising:

the first determining submodule is used for determining system parameter data of the public parameters;

the second determining submodule is used for obtaining product parameter data of the product parameters according to the system parameter data and by combining data set for the product parameters by a user;

the third determining submodule is used for obtaining platform parameter data of the platform parameters according to the product parameter data and by combining data set for the platform parameters by a user;

and the fourth determining submodule is used for obtaining business circle parameter data of the business circle parameters according to the platform parameter data and by combining the data set by the user for the business circle parameters.

As another embodiment, according to the target function module, generating a financing model of the target association subject, and obtaining a financing page corresponding to the financing model, includes:

generating a financing model of the target associated body by using the target function module in the data model layer;

The device for generating a fusion model in a supply chain according to the embodiment of the present disclosure corresponds to the method for generating a fusion model in a supply chain in the embodiment shown in fig. 2 to 3, and for the specific steps performed by each unit, module, and sub-model, reference may be made to the description in the foregoing embodiment, which is not repeated herein.

It should be noted that the financial model in this embodiment is not a human head model for a specific user, and cannot reflect personal information of a specific user. It should be noted that the model in the present embodiment is derived from a public data set.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

According to an embodiment of the present disclosure, the present disclosure also provides a computer program product comprising: a computer program, stored in a readable storage medium, from which at least one processor of the electronic device can read the computer program, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any of the embodiments described above.

FIG. 7 illustrates a schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 7, the device 700 comprises a computing unit 701, which may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM)702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

Various components in the device 700 are connected to the I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, or the like; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

Computing unit 701 may be a variety of general purpose and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 701 performs the various methods and processes described above, such as the financing model generation method in the supply chain. For example, in some embodiments, the financing model generation method in the supply chain may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 708. In some embodiments, part or all of a computer program may be loaded onto and/or installed onto device 700 via ROM 702 and/or communications unit 709. When loaded into RAM 703 and executed by the computing unit 701, may perform one or more of the steps of the method of generating a financing model in a supply chain as described above. Alternatively, in other embodiments, the computing unit 701 may be configured by any other suitable means (e.g., by means of firmware) to perform the financing model generation method in the supply chain.

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain. It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method for generating a financing model in a supply chain, comprising:

reading at least one basic function module from a module library;

in response to a model generation request for a target association subject in core subjects, determining a traffic type of the target association subject and the core subject;

and outputting the financing page for the user initiating the model generation request.

2. The method of claim 1, wherein the step of building at least one basic function module in the module library comprises:

determining at least one associated subject in at least one supply chain; the supply chain comprises a core main body and an association main body which has a supply relation with the core main body;

determining financing demand information corresponding to at least one association subject according to business relations between the at least one association subject and the core subject;

carrying out duplication elimination processing on financing demand information respectively corresponding to at least one association main body to obtain at least one target financing demand information;

generating a financing basic module for the target financing demand information to obtain at least one financing basic module corresponding to the target financing demand information respectively;

3. The method of claim 2, wherein the at least one target financing requirement information comprises: one or more of demand information, receivable account information, order display information, and document filling information are announced;

the generating financing base module for the target financing demand information comprises:

generating at least one notice information module for the notice demand information;

generating at least one account display module for the receivable information;

generating at least one order display module for the order display information;

or generating at least one document filling module for the document filling information;

the determining that the financing basic module corresponding to at least one piece of financing demand information is at least one basic function module in the module library comprises:

4. The method according to claim 1, wherein before generating a financing model of the target associated subject according to the target function module and obtaining a financing page corresponding to the financing model, the method further comprises:

outputting the target function module for the user;

acquiring parameter data set by the user for the target function module, and detecting the confirmation operation triggered by the user to the target function module;

generating a financing model of the target associated subject according to the target function module, and obtaining a financing page corresponding to the financing model, wherein the financing page comprises the following steps:

and generating a financing model of the target association subject according to the parameter data of the target function module, and acquiring a financing page corresponding to the financing model.

5. The method according to claim 4, wherein the acquiring parameter data set by the user for the target function module comprises:

sequentially determining business circle parameter data of the business circle parameters, platform parameter data of the platform parameters, product parameter data of the product parameters and public parameter data of the public parameters according to the inheritance relationship among the business circle parameters, the platform parameters, the product parameters and the public parameters;

generating a financing model of the target association subject according to the parameter data of the target function module, and obtaining a financing page corresponding to the financing model, wherein the financing page comprises:

determining the financing model based on the business district submodel, the platform submodel, the product submodel and the financing system submodel;

and respectively determining a business circle page corresponding to the business circle submodel, a platform page corresponding to the platform submodel, a product page corresponding to the product submodel and a financing system page corresponding to the financing system submodel.

6. The method of claim 5, wherein the business turn parameters comprise: private business circle parameters belonging to a specific business circle and public business circle parameters belonging to all business circles; the platform parameters include: private platform parameters belonging to a specific platform and public platform parameters belonging to all platforms; the product parameters include: product private parameters belonging to a specific product and public product parameters belonging to all products; the public parameters include public system parameters belonging to all financing systems.

7. The method of claim 5, wherein the inheritance relationships of the business circle parameters, the platform parameters, the product parameters and the public parameters comprise: the business circle parameter inherits the platform parameter, the platform parameter inherits the product parameter, and the product parameter inherits the public parameter;

the determining, according to the inheritance relationship among the business area parameter, the platform parameter, the product parameter and the public parameter, the business area parameter data of the business area parameter, the platform parameter data of the platform parameter, the product parameter data of the product parameter and the public parameter data of the public parameter in sequence includes:

determining system parameter data of the public parameters;

according to the product parameter data, combining data set by the user for the platform parameters to obtain platform parameter data of the platform parameters;

and according to the platform parameter data, acquiring business circle parameter data of the business circle parameters by combining the data set for the business circle parameters by the user.

8. The method according to claim 1, wherein the generating, according to the target function module, a financing model of the target associated subject, and after obtaining a financing page corresponding to the financing model, further comprises:

detecting a financing request initiated by the target association subject, and outputting the financing page for the target association subject;

acquiring financing information provided by the target association main body according to the financing page;

9. An apparatus for generating a financing model in a supply chain, comprising:

the type determining unit is used for responding to a model generation request aiming at a target correlation subject in a core subject, and determining the business types of the target correlation subject and the core subject;

and the page determining unit is used for outputting the financing page for the user initiating the model generation request.

10. An electronic device, comprising:

at least one processor; and

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.