Supplier treatment platform

Abstract

The invention discloses a supplier management platform, and the platform comprises a configuration module which is used for determining the target category of a target supplier, and is used for determining the assessment dimension and management and control field of the target supplier based on the target category of the target supplier, and forming an assessment strategy matched with the target supplier; the assessment module is used for assessing a target supplier by utilizing an assessment strategy, the data access module is used for acquiring current commodity abnormal data and abnormal commodity accumulated data, and the management condition of the target supplier is generated based on the abnormal management and control dimension and the management and control field; and the abnormity management module is used for evaluating whether the target supplier is governed or not based on the current commodity abnormity data, the abnormal commodity accumulation data and the governing condition, and determining a governing strategy corresponding to the target supplier. Therefore, according to the supplier type, the customized assessment strategy, the abnormal data and the abnormal data accumulation condition can be monitored in real time, the governance limit and the governance strategy are generated in a customized mode, and the governance efficiency of the supplier is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of supply chain technology, and more specifically, to a supplier governance platform. Background Art

[0002] In today's society, e-commerce has become an indispensable part of the global business field. For e-commerce companies, in order to meet the increasingly diverse needs of consumers, they often need to cooperate with a large number of different types of suppliers. These suppliers may come from different regions, different industries, and their sizes are also uneven. From large well-known brand manufacturers to small handicraft workshops, from domestic suppliers to overseas suppliers all over the world, their business scope covers all kinds of goods, such as electronic products, clothing, food, household goods, etc. Therefore, a large number of suppliers list and sell goods through corporate platforms.

[0003] In order to manage a large number of suppliers, the current e-commerce companies adopt a management method that uses a management platform to manage each supplier with a unified standard, and uses a unified performance standard to assess suppliers with different production volumes. However, the above method is not conducive to the survival and development of small suppliers, and is likely to lead to inefficient supplier management. Summary of the invention

[0004] In view of this, the present application provides a supplier governance platform to address the shortcomings of low governance efficiency in existing supplier management technologies.

[0005] In order to achieve the above objectives, the proposed solution is as follows:

[0006] A supplier governance platform, including an assessment module, a configuration module, a data access module and an exception management module;

[0007] The configuration module is used to determine the target category of the target supplier based on the supply attributes of the target supplier;

[0008] The assessment module is used to determine the assessment dimensions and control fields of the target supplier based on the target category of the target supplier, and combine the assessment dimensions and control fields to form an assessment strategy that matches the target supplier; use the assessment strategy to assess the target supplier and obtain an assessment result;

[0009] The data access module is used to obtain the current abnormal product data and abnormal product accumulation data of the target supplier in real time;

[0010] The exception management module is used to determine the exception control dimension of the target supplier based on the target category of the target supplier; generate the governance conditions of the target supplier based on the exception control dimension and the control field; evaluate whether to govern the target supplier based on the current product exception data, the abnormal product accumulated data and the governance conditions; if so, determine the corresponding governance strategy for the target supplier based on the current product exception data and the abnormal product accumulated data.

[0011] Optionally, the configuration module includes a category determination unit;

[0012] The category determination unit is used to classify the target supplier according to the supply and marketing method, scale and business industry of the target supplier, and determine the target category of the target supplier.

[0013] Optionally, the assessment module includes an assessment strategy generation unit;

[0014] The assessment strategy generation unit is used to select an assessment module that matches the assessment dimension; select an assessment threshold field that matches the assessment dimension from the control field; and based on the assessment threshold field, perform personalized updates on the assessment module to form an assessment strategy that matches the target supplier.

[0015] Optionally, the assessment module includes a performance assessment unit;

[0016] The performance evaluation unit is used to determine the commodity sales situation of the target supplier; based on the commodity sales situation and the evaluation strategy, the target supplier is evaluated to obtain an evaluation result.

[0017] Optionally, the data access module includes an abnormal event monitoring unit;

[0018] The abnormal event monitoring unit is used to monitor in real time whether the target supplier has abnormal product quality, abnormal product transportation, abnormal product sales, abnormal communication and abnormal delivery.

[0019] Optionally, the data access module further includes an abnormal statistics unit;

[0020] The abnormal statistics unit is used to classify the received abnormal data of the current commodity, determine the abnormal type, and add 1 to the accumulated data of abnormal commodities matching the abnormal type.

[0021] Optionally, the anomaly management module includes a governance condition generation unit;

[0022] The governance condition generation unit is used to select a governance rule expression that matches the exception control dimension; select an exception threshold field that matches the exception control dimension from the control field; and based on the exception threshold field, perform personalized updates on the governance rule expression to form a governance condition that matches the target supplier.

[0023] Optionally, the abnormal management module includes a control and assessment unit;

[0024] The control and assessment unit is used to determine whether the current abnormal commodity data and the abnormal commodity accumulated data meet the governance conditions; if so, based on the target category of the target power supplier, assess whether the target supplier needs to be governed.

[0025] Optionally, the abnormality management module further includes a reminder information generating unit;

[0026] The reminder information generating unit is used to generate reminder information including the target category, the identifier of the target supplier and the governance strategy, and send the reminder information to the governance personnel so that the governance personnel can determine whether the governance strategy needs to be implemented.

[0027] Optionally, the abnormal management module also includes a governance supervision unit;

[0028] The governance monitoring unit is used to monitor the governance strategy implementation results in real time and issue an alarm when the governance strategy implementation fails.

[0029] A readable storage medium stores a computer program thereon, characterized in that when the computer program is executed by a processor, each step of the above method is implemented.

[0030] It can be seen from the above technical solutions that the supplier governance platform provided by the present application may include an assessment module, a configuration module, a data access module and an exception management module; wherein the configuration module may be used to determine the target category of the target supplier based on the supply attributes of the target supplier; based on this, the present application may use the configuration module to carry out targeted classification of suppliers with different supply attributes, which will help to subsequently adopt differentiated management and assessment for suppliers of different categories, thereby improving the effectiveness of supplier governance; at the same time, the assessment module may be used to determine the assessment dimensions and control fields of the target supplier based on the target category of the target supplier, and combine the assessment dimensions and control fields to form an assessment strategy that matches the target supplier; the target supplier is assessed using the assessment strategy to obtain an assessment result; based on this, the present application may provide suppliers with customized assessment strategies based on the supplier's category, ensuring that the assessment strategy matches the supplier's supply attributes, and avoiding a one-size-fits-all approach. Assessment method, improve the reliability of the assessment process; on this basis, the data access module is used to obtain the current commodity abnormal data and abnormal commodity cumulative data of the target supplier in real time; the abnormal management module is used to determine the abnormal control dimension of the target supplier based on the target category of the target supplier; based on the abnormal control dimension and the control field, generate the governance conditions of the target supplier; based on the current commodity abnormal data, the abnormal commodity cumulative data and the governance conditions, evaluate whether to govern the target supplier; if so, based on the current commodity abnormal data and the abnormal commodity cumulative data, determine the corresponding governance strategy of the target supplier; based on this, the present application can govern the real-time abnormal data and the cumulative abnormal data, and promptly solve the abnormal situations generated in the commodity supply process, which will help reduce potential risks; at the same time, according to the category of the supplier, the governance conditions are generated in a targeted manner, the boundaries of supplier control are more accurately defined, and the accuracy of control decisions is improved. In the governance process, the governance strategy is generated according to the real-time abnormal data and the cumulative abnormal data, which further ensures the reliability and matching of the governance strategy of the present application. It can be seen that this application can classify suppliers according to their supply attributes through the coordinated operation of the assessment module, configuration module, data access module and exception management module, and customize assessment strategies according to the supplier categories, monitor abnormal data and abnormal data accumulation in real time, and customize the generation of governance boundaries and governance strategies to ensure the efficiency and reliability of supplier governance. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0032] Figure 1 A platform architecture diagram of a supplier governance platform provided in an embodiment of the present application;

[0033] Figure 2 A module architecture diagram of an assessment module provided in an embodiment of the present application;

[0034] Figure 3 A module architecture diagram of a data access module provided in an embodiment of the present application;

[0035] Figure 4 A module architecture diagram of an exception management module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] The supplier management platform of the present application can be used in many general or special computing device environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multi-processor devices, distributed computing environments including any of the above devices or equipment, etc.

[0038] Next, the supplier governance platform of this application is introduced in detail with reference to the accompanying drawings.

[0039] like Figure 1 As shown, the supplier governance platform may include: a configuration module 10, an assessment module 20, a data access module 30 and an exception management module 40.

[0040] Among them, the configuration module 10, the assessment module 20, the data access module 30 and the abnormal management module 40 can exchange data through the network.

[0041] The configuration module 10 may be used to determine a target category of a target supplier based on the supply attributes of the target supplier.

[0042] The supply attributes may include supply and marketing methods, the scale of target suppliers, activity responsiveness, product types, business industries, and other information related to the commodity supply situation.

[0043] The target suppliers can be various commodity suppliers and logistics service providers.

[0044] The assessment module 20 can be used to determine the assessment dimensions and control fields of the target supplier based on the target category of the target supplier, and combine the assessment dimensions and control fields to form an assessment strategy that matches the target supplier; use the assessment strategy to assess the target supplier and obtain an assessment result.

[0045] Specifically, a category record list may be obtained, in which a plurality of categories and one or more control fields, one or more assessment dimensions, and one or more abnormal control dimensions corresponding to each category are recorded.

[0046] Each control field may indicate a preset threshold value of a corresponding control dimension. The control dimension may be an assessment dimension or an abnormal control dimension.

[0047] Each assessment dimension can indicate the corresponding assessment method and content.

[0048] Each abnormal control dimension can indicate the corresponding abnormal control content.

[0049] There are certain differences in the violation facts and governance attributes corresponding to different categories of suppliers. By maintaining the control fields, the governance logic of assessment and exception management can be maintained.

[0050] Different categories can correspond to the same assessment dimension; the same assessment dimension can correspond to one or more categories.

[0051] The assessment module 20 may identify all assessment dimensions matching the target category from the category record list.

[0052] The assessment module 20 can update the assessment content of each assessment dimension based on the control field to form an assessment strategy for the target supplier.

[0053] The assessment results can be used to indicate the sales status of the target supplier's goods.

[0054] The data access module 30 can be used to obtain the current abnormal product data and abnormal product accumulation data of the target supplier in real time.

[0055] Specifically, the data access module 30 can monitor in real time whether there are any abnormal products of the target supplier, and can also determine whether there are any abnormal products based on the assessment results; and when there are abnormal products, collect the current abnormal product data and update the accumulated data of abnormal products.

[0056] The exception management module 40 can be used to determine the exception control dimension of the target supplier based on the target category of the target supplier; generate the governance conditions of the target supplier based on the exception control dimension and the control field; evaluate whether to govern the target supplier based on the current product exception data, the abnormal product accumulated data and the governance conditions; if so, determine the corresponding governance strategy for the target supplier based on the current product exception data and the abnormal product accumulated data.

[0057] Specifically, different categories may correspond to the same abnormality control dimension; the same abnormality control dimension may correspond to one or more categories.

[0058] The exception management module 40 may identify all exception control dimensions matching the target category from the category record list.

[0059] Each abnormal control dimension can be used for the corresponding governance rule expression and the governance system after hitting the governance rule expression.

[0060] Among them, the governance system can be composed of one or more governance measures, and the governance system can also include conditions for contacting corresponding governance measures.

[0061] Some governance measures include corresponding governance quotas, while some governance measures do not include governance quotas.

[0062] For example, the governance system may be to ban the sale of goods for 20 days, where the governance measure is to ban the sale of goods and the governance quota is 20 days.

[0063] The governance system can also remove products from shelves.

[0064] The exception management module 40 can update the governance rule expressions of each exception control dimension based on the control field to form the governance conditions of the target supplier.

[0065] The abnormality management module 40 can compare the current commodity abnormality data and the accumulated abnormal commodity data with the governance conditions to evaluate whether it is necessary to govern the target supplier.

[0066] The exception management module 40 can generate a governance strategy corresponding to the target supplier according to the supply exception dimension of the current commodity exception data and the abnormal commodity cumulative data.

[0067] The supply anomaly dimensions can include assessment failure, logistics anomalies, communication anomalies, commodity supply anomalies, and other supply and marketing-related content.

[0068] It can be seen from the above technical solutions that the supplier governance platform provided by the present application may include an assessment module, a configuration module, a data access module and an exception management module; wherein the configuration module may be used to determine the target category of the target supplier based on the supply attributes of the target supplier; based on this, the present application may use the configuration module to carry out targeted classification of suppliers with different supply attributes, which will help to subsequently adopt differentiated management and assessment for suppliers of different categories, thereby improving the effectiveness of supplier governance; at the same time, the assessment module may be used to determine the assessment dimensions and control fields of the target supplier based on the target category of the target supplier, and combine the assessment dimensions and control fields to form an assessment strategy that matches the target supplier; the target supplier is assessed using the assessment strategy to obtain an assessment result; based on this, the present application may provide suppliers with customized assessment strategies based on the supplier's category, ensuring that the assessment strategy matches the supplier's supply attributes, and avoiding a one-size-fits-all approach. Assessment method, improve the reliability of the assessment process; on this basis, the data access module is used to obtain the current commodity abnormal data and abnormal commodity cumulative data of the target supplier in real time; the abnormal management module is used to determine the abnormal control dimension of the target supplier based on the target category of the target supplier; based on the abnormal control dimension and the control field, generate the governance conditions of the target supplier; based on the current commodity abnormal data, the abnormal commodity cumulative data and the governance conditions, evaluate whether to govern the target supplier; if so, based on the current commodity abnormal data and the abnormal commodity cumulative data, determine the corresponding governance strategy of the target supplier; based on this, the present application can govern the real-time abnormal data and the cumulative abnormal data, and promptly solve the abnormal situations generated in the commodity supply process, which will help reduce potential risks; at the same time, according to the category of the supplier, the governance conditions are generated in a targeted manner, the boundaries of supplier control are more accurately defined, and the accuracy of control decisions is improved. In the governance process, the governance strategy is generated according to the real-time abnormal data and the cumulative abnormal data, which further ensures the reliability and matching of the governance strategy of the present application. It can be seen that this application can classify suppliers according to their supply attributes through the coordinated operation of the assessment module, configuration module, data access module and exception management module, and customize assessment strategies according to the supplier categories, monitor abnormal data and abnormal data accumulation in real time, and customize the generation of governance boundaries and governance strategies to ensure the efficiency and reliability of supplier governance.

[0069] In addition, this application can also render and display the target category, assessment dimension and abnormal control dimension of the target supplier.

[0070] Furthermore, the present application can also render and display the assessment results corresponding to each assessment dimension.

[0071] This application can also achieve fast and accurate information exchange between suppliers, e-commerce companies and customers through standardized interfaces and protocols, thereby improving the collaborative efficiency of the supply chain.

[0072] In some embodiments of the present application, the configuration module 10 may include a category determination unit 100;

[0073] The category determination unit 100 may be used to classify the target supplier according to the supply and marketing method, scale and business industry of the target supplier, and determine the target category of the target supplier.

[0074] Specifically, the supply and marketing methods may include providing goods to e-commerce enterprises or selling goods using the sales platforms provided by e-commerce enterprises.

[0075] The business industry may be the logistics service industry, clothing industry, accessories industry or fruit industry, etc.

[0076] It can be seen from the above technical solution that this embodiment provides an optional composition method of the configuration module 10. Through the above method, the category determination unit 100 can be used to classify suppliers based on the supply and marketing method, scale and business industry, so as to ensure the accuracy of the classification and the targetedness of the subsequent assessment and abnormal management.

[0077] like Figure 2 As shown, in some embodiments of the present application, the assessment module 20 may include an assessment strategy generation unit 200 .

[0078] The assessment strategy generation unit 200 can be used to select an assessment module that matches the assessment dimension; select an assessment threshold field that matches the assessment dimension from the control field; and based on the assessment threshold field, perform personalized updates on the assessment module to form an assessment strategy that matches the target supplier.

[0079] Specifically, the assessment template records the assessment method and content of the corresponding assessment dimensions.

[0080] The assessment strategy generation unit 200 can select the assessment threshold field corresponding to each assessment dimension from the control field, and integrate the assessment template and the assessment threshold field corresponding to the same assessment dimension to obtain the assessment strategy matching the target supplier after integration.

[0081] It can be seen from the above technical solution that this embodiment provides an optional composition method of the assessment module 20. Through the above method, the assessment strategy generation unit 200 can be used to generate an assessment strategy based on the assessment template and the assessment threshold field, further ensuring the matching degree between the assessment strategy and the target supplier.

[0082] like Figure 2 As shown, in some embodiments of the present application, the assessment module 20 may also include a performance assessment unit 201 .

[0083] The performance evaluation unit 201 may be used to determine the commodity sales situation of the target supplier; and evaluate the target supplier based on the commodity sales situation and the evaluation strategy to obtain an evaluation result.

[0084] Specifically, the performance evaluation unit 201 may count the sales volume of each type of merchandise of the target supplier, and compare the sales volume of each type of merchandise with the evaluation strategy to obtain an evaluation result.

[0085] It can be seen from the above technical solution that this embodiment provides an optional composition method of the assessment module 20. Through the above method, the performance assessment unit 201 can be used to assess the commodity sales of the target supplier based on the assessment strategy.

[0086] like Figure 3 As shown, the data access module 30 of the present application may include an abnormal event monitoring unit 300 .

[0087] The abnormal event monitoring unit 300 can be used to monitor in real time whether the target supplier has abnormal product quality, abnormal product transportation, abnormal product sales, abnormal communication and abnormal delivery.

[0088] Specifically, the abnormal event monitoring unit 300 can be used to monitor abnormal situations of the target supplier in real time.

[0089] Among them, abnormal situations may include any one or more of abnormal product quality, abnormal product transportation, abnormal product sales, abnormal communication and abnormal delivery.

[0090] Abnormal product sales may mean that products that have been removed from the shelves due to production capacity limitations or regional management rules are still on sale.

[0091] It can be seen from the above technical solution that this embodiment provides an optional composition method of the data access module 30. Through the above method, the abnormal event monitoring unit 300 can be used to monitor the abnormal situation of the supplier in real time, so as to intervene in time when an abnormality occurs.

[0092] like Figure 3 As shown, the data access module 30 of the present application may include an abnormal statistics unit 301;

[0093] The abnormality statistics unit 301 may be used to classify the received abnormal data of the current commodity, determine the abnormality type, and add 1 to the accumulated data of abnormal commodities matching the abnormality type.

[0094] Specifically, the abnormal statistical unit 301 can identify the abnormal type of the current commodity abnormal data, and update the abnormal commodity accumulation data corresponding to the abnormal type.

[0095] Among them, the abnormality types may include any one or more of abnormal product quality, abnormal product transportation, abnormal product sales, abnormal communication and abnormal delivery.

[0096] It can be seen from the above technical solution that this embodiment provides another optional composition method of the data access module 30. Through the above method, the abnormal statistical unit 301 can be used to update the accumulated data of abnormal commodities, which is convenient for subsequent use of the accumulated abnormal data for governance judgment.

[0097] like Figure 4 As shown, in some embodiments of the present application, the exception management module 40 may include a governance condition generation unit 400 .

[0098] The governance condition generation unit 400 can be used to select a governance rule expression that matches the exception control dimension; select an exception threshold field that matches the exception control dimension from the control field; and based on the exception threshold field, perform personalized updates on the governance rule expression to form a governance condition that matches the target supplier.

[0099] Specifically, the control template may record the governance rule expressions corresponding to the abnormal control dimensions, and each governance rule expression includes a condition group and a condition item.

[0100] The governance condition generation unit 400 can combine the abnormal threshold fields and governance rule expressions corresponding to the same abnormal control dimension to obtain the governance conditions that match the target supplier, so as to determine whether the target supplier hits the governance conditions.

[0101] It can be seen from the above technical solution that this embodiment provides an optional composition method of the exception management module 40. Through the above method, by combining the governance rule expression and the exception threshold field corresponding to each exception control dimension, the governance conditions can be generated in a targeted manner to improve the matching degree between the governance conditions and the suppliers.

[0102] like Figure 4 As shown, in some embodiments of the present application, the abnormality management module 40 may further include a control and assessment unit 401 .

[0103] The control and assessment unit 401 can be used to determine whether the current abnormal commodity data and the abnormal commodity accumulated data meet the governance conditions; if so, based on the target category of the target power supplier, it is evaluated whether the target supplier needs to be governed.

[0104] Specifically, the management and control evaluation unit 401 can determine whether the current abnormal data of the product hits the governance condition, and determine whether the accumulated data of abnormal products hits the governance condition.

[0105] If the governance condition is met, the control evaluation unit 401 can evaluate whether governance is required based on the target category of the target supplier.

[0106] It can be seen from the above technical solution that this embodiment provides another optional composition method of the exception management module 40. Through the above method, the supplier category, current product abnormal data and abnormal product accumulated data can be further integrated to evaluate whether the target supplier needs to be governed, thereby further ensuring the reliability of the implementation of the governance measures of this application.

[0107] like Figure 4 As shown, in some embodiments of the present application, the abnormality management module 40 may further include a reminder information generation unit 402 .

[0108] The reminder information generating unit 402 may be used to generate reminder information including the target category, the identifier of the target supplier and the governance policy, and send the reminder information to the governance personnel so that the governance personnel can determine whether the governance policy needs to be implemented.

[0109] Specifically, in order to avoid excessive governance measures, the whitelist and blacklist can be updated regularly and can also be manually reviewed.

[0110] Therefore, the reminder information generating unit 402 may combine the target category, the identifier of the target supplier and the governance policy to form the reminder information, and send the reminder information to the terminal of the governance personnel so that the governance personnel can determine whether the governance policy needs to be implemented.

[0111] It is also possible to identify whether the target supplier's logo is recorded in the whitelist, and if so, exempt it from governance.

[0112] After determining that remediation measures need to be implemented, a remediation work order can be generated that includes release conditions, implementation supplier identification, implementation validity period and / or remediation measures.

[0113] It can be seen from the above technical solution that this embodiment provides another optional composition method of the abnormality management module 40. Through the above method, the reminder information generation unit 402 can be used to implement manual re-inspection, further ensuring the accuracy of the implementation of the control measures.

[0114] like Figure 4 As shown, in some embodiments of the present application, the exception management module 40 may further include a governance supervision unit 403 .

[0115] The governance monitoring unit 403 can be used to monitor the governance policy implementation results in real time and issue an alarm when a governance policy implementation failure occurs.

[0116] Specifically, after the target supplier needs to implement governance measures, the governance supervision unit 403 can monitor the implementation results in real time until the governance measures are implemented.

[0117] The governance monitoring unit 403 can evaluate whether an implementation failure occurs based on the implementation results and governance measures, and if so, issue an alarm.

[0118] It can be seen from the above technical solution that this embodiment provides another optional composition method of the abnormal management module 40. Through the above method, the governance supervision unit 403 can be used to implement supervision and ensure the implementation.

[0119] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0120] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0121] The above description of the disclosed embodiments enables professionals and technicians in the field to implement or use the present application. Various modifications to these embodiments will be apparent to professionals and technicians in the field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. The various embodiments of the present application can be combined with each other. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A supplier governance platform, characterized in that: Including configuration module, assessment module, data access module and exception management module; The configuration module is used to determine the target category of the target supplier based on the supply attributes of the target supplier; The assessment module is used to determine the assessment dimensions and control fields of the target supplier based on the target category of the target supplier, and combine the assessment dimensions and control fields to form an assessment strategy that matches the target supplier; use the assessment strategy to assess the target supplier and obtain an assessment result; The data access module is used to obtain the current abnormal product data and abnormal product accumulation data of the target supplier in real time; The exception management module is used to determine the exception management dimension of the target supplier based on the target category of the target supplier; Based on the abnormal control dimension and the control field, generating the governance conditions of the target supplier; Based on the current product abnormal data, the abnormal product accumulated data and the governance conditions, evaluate whether to govern the target supplier; if so, determine the governance strategy corresponding to the target supplier based on the current product abnormal data and the abnormal product accumulated data.

2. The supplier governance platform according to claim 1, characterized in that: The configuration module includes a category determination unit; The category determination unit is used to classify the target supplier according to the supply and marketing method, scale and business industry of the target supplier, and determine the target category of the target supplier.

3. The supplier governance platform according to claim 1, characterized in that: The assessment module includes an assessment strategy generation unit; The assessment strategy generation unit is used to select an assessment module that matches the assessment dimension; select an assessment threshold field that matches the assessment dimension from the control field; and based on the assessment threshold field, perform personalized updates on the assessment module to form an assessment strategy that matches the target supplier.

4. The supplier governance platform according to claim 1, characterized in that: The assessment module includes a performance assessment unit; The performance evaluation unit is used to determine the commodity sales situation of the target supplier; and evaluate the target supplier in combination with the commodity sales situation and the evaluation strategy to obtain an evaluation result.

5. The supplier governance platform according to claim 1, characterized in that: The data access module includes an abnormal event monitoring unit; The abnormal event monitoring unit is used to monitor in real time whether the target supplier has abnormal product quality, abnormal product transportation, abnormal product sales, abnormal communication and abnormal delivery.

6. The supplier governance platform according to claim 1, characterized in that: The data access module also includes an abnormal statistics unit; The abnormal statistics unit is used to classify the received abnormal data of the current commodity, determine the abnormal type, and add 1 to the accumulated data of abnormal commodities matching the abnormal type.

7. The supplier governance platform according to claim 1, characterized in that: The anomaly management module includes a governance condition generation unit; The governance condition generating unit is used to select a governance rule expression that matches the abnormality control dimension; select an abnormality threshold field that matches the abnormality control dimension from the control field; Based on the abnormal threshold field, the governance rule expression is personalized and updated to form a governance condition that matches the target supplier.

8. The supplier governance platform according to claim 1, characterized in that: The abnormal management module includes a control and assessment unit; The control and assessment unit is used to determine whether the current abnormal commodity data and the abnormal commodity accumulated data meet the governance conditions; if so, based on the target category of the target power supplier, assess whether the target supplier needs to be governed.

9. The supplier governance platform according to claim 8, characterized in that: The abnormality management module also includes a reminder information generation unit; The reminder information generating unit is used to generate reminder information including the target category, the identifier of the target supplier and the governance strategy, and send the reminder information to the governance personnel so that the governance personnel can determine whether the governance strategy needs to be implemented.

10. The supplier governance platform according to claim 1, characterized in that: The anomaly management module also includes a governance supervision unit; The governance monitoring unit is used to monitor the governance strategy implementation results in real time and issue an alarm when the governance strategy implementation fails.

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