Supplier qualification verification admission system and method based on dynamic configurability
By using a dynamically configurable supplier qualification verification and admission system, which generates multi-category differentiated form components and supports multiple types of scoring indicators, the system solves the problem of insufficient flexibility in existing systems and achieves efficient and accurate supplier review and decision support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-09
- Publication Date
- 2026-03-13
AI Technical Summary
Existing supply chain management systems are insufficient in terms of flexibility and adaptability, making it difficult to meet the diverse, multi-level, and dynamic business needs of enterprises. They are unable to implement differentiated audits for different types of suppliers and struggle to quickly adjust verification standards and processes in response to business changes.
The system adopts a dynamically configurable supplier qualification verification and access system, including a form configuration module and a survey form template configuration module. It generates multi-category differentiated form components, supports multi-source data integration and multi-type scoring indicators, and enables flexible template design and efficient data processing through drag-and-drop operations.
It enables automatic adjustment of audit standards and processes based on different business needs, improving the scientific and rational nature of supplier selection and enhancing the overall efficiency and decision-making level of supply chain management.
Smart Images
Figure CN121659922A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of computer software technology, and in particular to a supplier qualification verification and access system and method based on dynamic configurability. Background Technology
[0002] Supplier onboarding verification is a crucial step in enterprise supply chain management, used to assess suppliers' qualifications, reputation, and production capabilities to ensure they meet the company's procurement requirements. With the advancement of digital transformation, traditional offline methods involving mailed documents and manual review are gradually being replaced by online submissions and system-based verification.
[0003] However, current mainstream systems generally adopt fixed processes and template designs, which lack flexibility and are difficult to adapt to the multi-category, multi-level and dynamic business needs of enterprises. They cannot achieve differentiated audits for different types of suppliers, nor can they quickly adjust verification standards and processes according to business changes. Summary of the Invention
[0004] The purpose of this application is to provide a supplier qualification verification and admission system and method based on dynamic configurability, which aims to solve the technical problems of poor system flexibility and difficulty in adapting to dynamic business needs in the prior art.
[0005] To achieve the above objectives, this application provides a dynamically configurable supplier qualification verification and access system, which includes: Form configuration module: used to configure the form attributes, sources of multi-source data, and validation rules of multi-category forms based on user input, and generate multi-category differentiated form components; the form attributes include form name, form type, and field attributes, and the sources of multi-source data include API, data dictionary, and manual entry; Survey Form Template Configuration Module: Used to drag and drop the multi-category differentiated form components to the survey form template design area to generate a multi-category differentiated survey form template.
[0006] In one embodiment, the system further includes a data collection module for collecting the multi-source data, verifying the credibility of the multi-source data based on the verification rules to obtain verification data, and performing fusion processing on the verification data to obtain a comprehensive optimized dataset.
[0007] In one embodiment, the system further includes a scoring indicator configuration module, used to configure multiple types of scoring indicators based on the multi-category differentiated survey form template, the multiple types of scoring indicators including quantitative indicators and qualitative indicators.
[0008] In one embodiment, the system further includes a scoring scheme configuration module: used to configure multiple scoring schemes based on the multiple scoring indicators, and to verify the qualifications of corresponding category access projects according to the multiple scoring schemes; the multiple scoring schemes include direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring.
[0009] In one embodiment, the system further includes an execution module for loading the multi-category differentiated survey form template and the multi-type scoring scheme, and performing a comprehensive scoring based on the comprehensive optimized dataset to obtain a qualification verification result report for the corresponding category access project.
[0010] Furthermore, this application also provides a dynamically configurable supplier qualification verification and admission method, the method comprising: Based on the user-input multi-category form, configure the form attributes, sources of multi-source data, and validation rules of the multi-category form to generate a multi-category differentiated form component; the form attributes include form name, form type, and field attributes, and the sources of multi-source data include API, data dictionary, and manual entry; Drag the multi-category differentiated form component to the survey form template design area to generate a multi-category differentiated survey form template.
[0011] In one embodiment, the method further includes: collecting the multi-source data, verifying the credibility of the multi-source data based on the verification rules to obtain verification data, and performing fusion processing on the verification data to obtain a comprehensive optimized dataset.
[0012] In one embodiment, the method further includes: configuring multiple types of scoring indicators based on the multi-category differentiated survey form template, wherein the multiple types of scoring indicators include quantitative indicators and qualitative indicators.
[0013] In one embodiment, the method further includes: configuring a multi-type scoring scheme based on the multi-type scoring indicators, and verifying the qualifications of the corresponding category access projects according to the multi-type scoring scheme; the multi-type scoring scheme includes direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring.
[0014] In one embodiment, the method further includes: loading the multi-category differentiated survey form template and the multi-type scoring scheme, and performing a comprehensive scoring based on the comprehensive optimized dataset to obtain a qualification verification result report for the corresponding category access project.
[0015] The above-mentioned technical solution of this application has at least the following beneficial technical effects: The technical solution of this application, through a flexible configuration method using a form configuration module and a survey form template configuration module, can automatically generate differentiated form components based on user-input multi-category forms and efficiently integrate these differentiated form components into the survey form template. This solution offers high flexibility and adaptability, automatically adjusting review standards and processes according to different business needs. It helps enterprises achieve efficient and accurate onboarding reviews in complex and ever-changing supplier management scenarios, ensuring the scientific and rational selection of suppliers, thereby improving the overall efficiency and decision-making level of supply chain management. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of a module of an embodiment of the supplier qualification verification and access system provided in this application; Figure 2 This is a schematic diagram of a module of another embodiment of the supplier qualification verification and access system based on dynamic configurability provided in this application; Figure 3 This is a schematic diagram of a module of another embodiment of the supplier qualification verification and access system based on dynamic configurability provided in this application; Figure 4 This is a schematic diagram of a module of another embodiment of the supplier qualification verification and access system based on dynamic configurability provided in this application; Figure 5 This is a schematic diagram of a module of another embodiment of the supplier qualification verification and access system based on dynamic configurability provided in this application; Figure 6 This is a flowchart illustrating an embodiment of the supplier qualification verification and admission method based on dynamic configurability provided in this application; Figure 7 This is a flowchart illustrating another embodiment of the supplier qualification verification and admission method based on dynamic configurability provided in this application; Figure 8 This is a flowchart illustrating another embodiment of the supplier qualification verification and admission method based on dynamic configurability provided in this application; Figure 9 This is a flowchart illustrating another embodiment of the supplier qualification verification and admission method based on dynamic configurability provided in this application; Figure 10 This is a flowchart illustrating another embodiment of the supplier qualification verification and admission method based on dynamic configurability provided in this application; Figure 11 This is a schematic diagram of a questionnaire template according to a specific embodiment provided in this application.
[0017] Figure label: 1. Form configuration module; 2. Survey form template configuration module; 3. Data collection module; 4. Scoring indicator configuration module; 5. Scoring scheme configuration module; 6. Execution module. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to specific embodiments and accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of this application. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of this application.
[0019] The embodiments described in this application are only some, not all, of the embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments described herein without inventive effort are within the scope of protection of this application.
[0020] Supplier onboarding verification is a crucial step in enterprise supply chain management, used to assess suppliers' qualifications, reputation, and production capabilities to ensure they meet the company's procurement requirements. With the advancement of digital transformation, traditional offline methods involving mailed documents and manual review are gradually being replaced by online submissions and system-based reviews. However, current mainstream systems generally employ fixed processes and template designs, lacking flexibility and failing to adapt to the diverse, multi-level, and dynamic business needs of enterprises. They cannot provide differentiated reviews for different types of suppliers, nor can they quickly adjust verification standards and processes according to business changes.
[0021] The inventors discovered that some existing ERP systems' supplier management modules use hard-coded form fields and scoring processes, only supporting fixed access approval processes based on preset data dictionaries (e.g., supplier types are categorized as service or material). Some systems support adding a limited number of form fields, but these are mostly pre-set and do not support multi-source data inheritance. Scoring rules use fixed weight allocation, failing to achieve differentiated configurations based on procurement categories. Therefore, the existing technologies described above, with their preset form fields, data sources, and scoring indicators, cannot quickly adapt to the needs of different procurement categories or business changes. Configuration requires technical personnel to modify the code logic, which business personnel cannot operate independently. Furthermore, they only support a single calculation method, with fixed scores or weighted values, failing to meet the personalized evaluation needs of complex scenarios. Moreover, data relies on manual entry and lacks multi-source data integration such as APIs and data dictionaries.
[0022] To address the aforementioned technical issues, this application provides a dynamically configurable supplier qualification verification and access system. Please refer to [link / reference]. Figure 1In one embodiment of this application, the dynamically configurable supplier qualification verification and access system includes a form configuration module 1 and a survey form template configuration module 2. The form configuration module 1 is used to configure the form attributes, multi-source data sources, and verification rules of multi-category forms based on user-inputted multi-category forms, generating multi-category differentiated form components to achieve flexible and scalable form management functions. Form attributes include form name, form type, and field attributes; multi-source data sources include APIs, data dictionaries, and manual entry. The survey form template configuration module 2 is used to drag and drop multi-category differentiated form components to the survey form template design area to generate multi-category differentiated survey form templates, improving template design efficiency and adaptability.
[0023] The technical solution of this application, through the flexible configuration of form configuration module 1 and survey form template configuration module 2, can automatically generate differentiated form components based on user-input multi-category forms and efficiently integrate these differentiated form components into the survey form template. This solution offers high flexibility and adaptability, automatically adjusting review standards and processes according to different business needs. This facilitates efficient and accurate supplier access review in complex and ever-changing supplier management scenarios, ensuring the scientific and rational selection of suppliers, thereby improving the overall efficiency and decision-making level of supply chain management.
[0024] In one implementation, please refer to Figure 2 The system also includes a data collection module 3, which collects multi-source data, verifies the credibility of the multi-source data based on verification rules to obtain verification data, and performs fusion processing on the verification data to obtain a comprehensive optimized dataset, providing reliable data support for subsequent audits.
[0025] In one implementation, please refer to Figure 3 The system also includes a scoring indicator configuration module 4, used to configure various types of scoring indicators based on multi-category differentiated survey form templates. This module can configure quantitative and qualitative indicators according to the multi-category differentiated survey form templates, supporting flexible settings of various types of scoring indicators to ensure that the system adapts to the access standards and review requirements of different categories. The various types of scoring indicators include quantitative and qualitative indicators.
[0026] In one implementation, please refer to Figure 4The system also includes a scoring scheme configuration module 5: used to configure multiple scoring schemes based on multiple types of scoring indicators, and to verify the qualifications of corresponding category access items according to the multiple scoring schemes. This module can configure different scoring schemes based on multiple types of scoring indicators, and accurately verify the qualifications of corresponding category access items through various methods such as direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring. Among them, the multiple scoring schemes include direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring.
[0027] In one implementation, please refer to Figure 5 The system also includes an execution module 6, which loads multi-category differentiated survey form templates and multiple scoring schemes, and performs comprehensive scoring based on a comprehensive optimized dataset to obtain a qualification verification result report for the corresponding category access project. This module can load multi-category differentiated survey form templates and multiple scoring schemes, perform scoring processing in conjunction with a comprehensive optimized dataset, and generate a qualification verification result report for the corresponding category access project, providing enterprises with an efficient and scientific basis for review.
[0028] In addition, this application also provides a dynamically configurable supplier qualification verification and admission method. Please refer to [link / reference]. Figure 6 The method includes the following steps: Step S1: Based on the user-inputted multi-category form, configure the form attributes, multi-source data sources, and validation rules for the multi-category form, generating a multi-category differentiated form component. Form attributes include form name, form type, and field attributes. Multi-source data sources include API, data dictionary, and manual entry. In this step, based on the user-inputted multi-category form, the form attributes, multi-source data sources, and validation rules are configured to generate a multi-category differentiated form component. Dynamic configuration enables personalized customization of different product category forms, allowing for flexible adjustment of form attributes such as name, type, and field attributes. It supports data supplementation and validation from multiple data sources (such as API, data dictionary, and manual entry). This approach allows for rapid adaptation to various business needs, improves the efficiency of form generation and data collection, reduces the workload of manually adjusting forms, and ensures data consistency and accuracy.
[0029] Step S2: Drag and drop the multi-category differentiated form components to the survey form template design area to generate a multi-category differentiated survey form template. In this step, the multi-category differentiated form components are added to the survey form template design area by dragging and dropping to generate a multi-category differentiated survey form template. Users can intuitively and conveniently design and modify the survey form template. Through simplified drag-and-drop operations, users can complete the configuration of complex templates without programming, enhancing the system's operability and ease of use, improving the flexibility and efficiency of survey form design, and thus accelerating the entire form configuration and survey form generation process.
[0030] In one implementation, please refer to Figure 7 The method further includes, after step S2, step S3: collecting multi-source data, verifying the reliability of the multi-source data based on verification rules to obtain verification data, and then fusing the verification data to obtain a comprehensive optimized dataset. In this step, multi-source data is collected, and the reliability of the multi-source data is verified based on preset verification rules to obtain verification data. The data from multiple sources is then integrated into a comprehensive optimized dataset through fusion processing. This step ensures the accuracy and reliability of the collected data, eliminates redundant information through data fusion, improves the integrity and consistency of the data, and provides accurate basic data support for subsequent analysis and decision-making.
[0031] In one implementation, please refer to Figure 8 The method further includes, after step S3, step S4: configuring multiple types of scoring indicators based on a multi-category differentiated survey template. These multiple types of scoring indicators include both quantitative and qualitative indicators. In this step, multiple types of scoring indicators are configured based on the multi-category differentiated survey template, covering both quantitative and qualitative indicators. This allows for customized design of scoring standards according to the requirements of different categories. This configuration method provides a flexible scoring system for different business scenarios, ensuring that the scoring indicators accurately reflect the evaluation standards of different projects, thereby improving the scientific rigor and adaptability of the scoring.
[0032] In one implementation, please refer to Figure 9 The method further includes, after step S4, step S5: configuring multi-type scoring schemes based on multi-type scoring indicators, and verifying the qualifications of corresponding category access projects according to the multi-type scoring schemes. The multi-type scoring schemes include direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency-based scoring. In this step, multi-type scoring schemes are configured based on multi-type scoring indicators, and the qualifications of corresponding category access projects are verified according to methods such as direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency-based scoring. This configuration can flexibly address the qualification assessment needs of different category projects, ensuring the accuracy and multi-dimensional consideration of the assessment process through multiple scoring schemes, thereby more accurately determining the compliance and qualification status of projects.
[0033] In one implementation, please refer to Figure 10 The method further includes, after step S5, step S6: loading multi-category differentiated survey form templates and multi-type scoring schemes, and performing comprehensive scoring based on the comprehensive optimized dataset to obtain a qualification verification result report for the corresponding category access project. In this step, multi-category differentiated survey form templates and multi-type scoring schemes are loaded, and comprehensive scoring is performed based on the comprehensive optimized dataset to generate a qualification verification result report for the corresponding category access project. Through the comprehensive scoring method, multiple scoring factors and data sources can be integrated to accurately assess the qualification status of each access project and generate a detailed report, providing decision-makers with clear and comprehensive qualification verification basis and improving the efficiency and transparency of the entire review process.
[0034] In one specific embodiment, during the form configuration phase: the supplier management specialist configures over 60 survey form configuration items, including a list of test operation procedure names (attached version), a list of test regulations names (attached version), on-site sampling tests (attached version), on-site inspection test reports (attached), a list of product certification certificates (attached version), and a list of production licenses (attached version). During the survey form template configuration phase: please refer to... Figure 11 The supplier management specialist drags the above form to different table tabs in the design area, generating eight tabs: Basic Information, Financial Status, Certification Reports, Supply Performance, After-Sales Service, Production Information, Raw Material Information, and Testing Information. These tabs together form the Fiber Optic Communication Equipment Category Supplier Access Verification Survey Form. During the data collection phase, the system completes data filling, including basic information, by querying historical database data and obtaining data from ERP, CRM, and Tianyancha via RESTful APIs. Suppliers manually submit remaining data. During the scoring configuration phase, the verification experts configure scoring items such as basic information, supply performance, financial information, and after-sales service, and generate a scoring scheme. During the execution phase, the system automatically verifies data integrity, generates reference scores, and forwards them to the verification experts. The experts review the scores and refine the subjective scores.
[0035] This application aims to protect a dynamically configurable supplier qualification verification and access system and method. The technical solution of this application, through the flexible configuration of a form configuration module 1 and a survey form template configuration module 2, can automatically generate differentiated form components based on user-input multi-category forms and efficiently integrate these differentiated form components into the survey form template. This solution has high flexibility and adaptability, and can automatically adjust the review standards and processes according to different business needs. It is beneficial for enterprises to achieve efficient and accurate access review in complex and ever-changing supplier management scenarios, ensuring the scientific and rational selection of suppliers, thereby improving the overall efficiency and decision-making level of supply chain management.
[0036] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of this application and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of this application should be included within the protection scope of this application. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.
Claims
1. A supplier qualification verification and access system based on dynamic configurability, characterized in that, include: Form configuration module: used to configure the form attributes, sources of multi-source data and validation rules of multi-category forms based on user input, and generate multi-category differentiated form components; The form attributes include form name, form type, and field attributes; the sources of the multi-source data include API, data dictionary, and manual entry. Survey Form Template Configuration Module: Used to drag and drop the multi-category differentiated form components to the survey form template design area to generate a multi-category differentiated survey form template.
2. The supplier qualification verification and access system based on dynamic configurability according to claim 1, characterized in that, The system also includes a data collection module, which collects the multi-source data, verifies the credibility of the multi-source data based on the verification rules to obtain verification data, and performs fusion processing on the verification data to obtain a comprehensive optimized dataset.
3. The supplier qualification verification and access system based on dynamic configurability according to claim 2, characterized in that, The system also includes a scoring indicator configuration module, which is used to configure multiple types of scoring indicators based on the multi-category differentiated survey form template. The multiple types of scoring indicators include quantitative indicators and qualitative indicators.
4. The supplier qualification verification and access system based on dynamic configurability according to claim 3, characterized in that, The system also includes a scoring scheme configuration module: used to configure multiple scoring schemes based on the multiple scoring indicators, and to verify the qualifications of the corresponding category access projects according to the multiple scoring schemes; the multiple scoring schemes include direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring.
5. The supplier qualification verification and access system based on dynamic configurability according to claim 4, characterized in that, The system also includes an execution module, which loads the multi-category differentiated survey form template and the multi-type scoring scheme, and performs a comprehensive scoring based on the comprehensive optimized dataset to obtain a qualification verification result report for the corresponding category access project.
6. A supplier qualification verification and admission method based on dynamic configurability, characterized in that, The method includes: Based on the user-input multi-category form, configure the form attributes, sources of multi-source data, and validation rules of the multi-category form to generate a multi-category differentiated form component; the form attributes include form name, form type, and field attributes, and the sources of multi-source data include API, data dictionary, and manual entry; Drag the multi-category differentiated form component to the survey form template design area to generate a multi-category differentiated survey form template.
7. The supplier qualification verification and admission method based on dynamic configurability according to claim 6, characterized in that, The method further includes: collecting the multi-source data, verifying the credibility of the multi-source data based on the verification rules to obtain verification data, and performing fusion processing on the verification data to obtain a comprehensive optimized dataset.
8. The supplier qualification verification and admission method based on dynamic configurability according to claim 7, characterized in that, The method further includes configuring multiple types of scoring indicators based on the multi-category differentiated survey form template, wherein the multiple types of scoring indicators include quantitative indicators and qualitative indicators.
9. The supplier qualification verification and admission method based on dynamic configurability according to claim 8, characterized in that, The method further includes: configuring multi-type scoring schemes based on the multi-type scoring indicators, and verifying the qualifications of the corresponding category access projects according to the multi-type scoring schemes; the multi-type scoring schemes include direct mapping scoring, option-related scoring, interval segmentation scoring, and frequency dimension scoring.
10. The supplier qualification verification and admission method based on dynamic configurability according to claim 9, characterized in that, The method further includes: loading the multi-category differentiated survey form template and the multi-type scoring scheme, and performing a comprehensive scoring based on the comprehensive optimized dataset to obtain the qualification verification result report of the corresponding category access project.