Purchase traceability online simulation system and method

Abstract

The invention provides a purchase traceability online simulation system and method, and the method comprises the steps: a strategy simulation step: collecting supplier data to carry out strategy simulation, and outputting a simulation result; the supplier data comprises historical data and market trend data; a strategy evaluation step: receiving and evaluating the simulation result, and if the evaluation result does not accord with a preset threshold value and condition, carrying out abnormity early warning; a strategy redisk step: summarizing all the data and converting the data into a dynamic report, and generating strategy adjustment and optimization suggestions according to the dynamic report; the dynamic report can be updated in real time. According to the invention, methods of data analysis, real-time monitoring and redisk afterwards are comprehensively utilized, a comprehensive, dynamic and closed-loop management framework is provided for purchase traceability, supply chain risks can be effectively managed, purchase decisions can be effectively optimized, the overall performance of the supply chain can be effectively improved, and the method has good practicability.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain management, and in particular to an online simulation system and method for procurement tracing. Background Art

[0002] In today's rapidly developing supply chain real economy, the challenges faced by supply chain procurement business are becoming increasingly complex. Especially in the case of multiple suppliers for one product, how to make the best choice from many suppliers, reduce procurement costs, and achieve refined procurement has become a key issue in supply chain management.

[0003] The current procurement traceability method mainly relies on the entry threshold coefficient and supplier ranking priority to specify suppliers. This method has shown its limitations in the face of increasingly diverse procurement needs. In order to adapt to the ever-changing market environment and meet the business needs of reducing costs and increasing efficiency, it is necessary to iterate a more flexible and cost-effective procurement traceability logic. Selecting suppliers is not only related to the cost-effectiveness of the enterprise, but also affects the stability and competitiveness of the supply chain. Therefore, it is particularly urgent to build a new procurement traceability online decision-making system to compare different strategies. Summary of the invention

[0004] In view of the defects in the prior art, the object of the present invention is to provide a procurement traceability online simulation system and method.

[0005] A procurement traceability online simulation system provided by the present invention includes:

[0006] The simulation strategy module is used to collect supplier data for strategy simulation and output simulation results;

[0007] The supplier data includes historical data and market trend data;

[0008] The online analysis module is used to receive and evaluate the simulation results. If the evaluation results do not meet the preset thresholds and conditions, an abnormal warning is issued;

[0009] The strategy review module summarizes all data and converts them into dynamic reports, and generates strategy adjustments and optimization suggestions based on the dynamic reports; the dynamic reports can be updated in real time.

[0010] Preferably, the supplier data is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system.

[0011] Preferably, the supplier data is transmitted to the simulation strategy module based on the API interface; the simulation strategy module uses an AI algorithm to simulate costs, freight and delivery times.

[0012] Preferably, the online analysis module includes maintaining the core master data of suppliers; the core master data includes price validity information, brand authorization information and supplier status validity information.

[0013] Preferably, the online analysis module compares the costs, delivery dates and account periods of different traceability channels online based on the twin strategy empty run technology to achieve real-time early warning and decision support.

[0014] A procurement traceability online simulation method provided by the present invention includes:

[0015] Strategy simulation step: collect supplier data to perform strategy simulation and output simulation results;

[0016] The supplier data includes historical data and market trend data;

[0017] Strategy evaluation step: Receive simulation results and evaluate them. If the evaluation results do not meet the preset thresholds and conditions, an abnormal warning will be issued;

[0018] Strategy review steps: All data are summarized and converted into dynamic reports, and strategy adjustments and optimization suggestions are generated based on the dynamic reports; the dynamic reports can be updated in real time.

[0019] Preferably, the supplier data is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system.

[0020] Preferably, the supplier data is transmitted based on an API interface; and the strategy evaluation step includes using an AI algorithm to simulate costs, freight and delivery times.

[0021] Preferably, the strategy evaluation step includes maintaining the core master data of the supplier; the core master data includes price validity information, brand authorization information and supplier status validity information.

[0022] Preferably, the strategy evaluation step includes online comparison of costs, delivery dates and account periods of different traceability channels based on the twin strategy empty run technology to achieve real-time early warning and decision support.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The present invention uses a combination of data analysis, real-time monitoring and post-event review methods to provide a comprehensive, dynamic and closed-loop management framework for procurement traceability, which can effectively manage supply chain risks, optimize procurement decisions, and improve the overall performance of the supply chain, and has good practicality.

[0025] 2. The present invention can calculate the costs corresponding to different traceability schemes (online original strategy, simulation strategy, and application strategy for different algorithm scenarios) in real time, and can also comprehensively evaluate other key factors, such as the supplier's delivery period as a percentage of the total delivery period and whether the supplier is localized, etc., to provide comprehensive support for procurement decisions with high flexibility.

[0026] 3. The present invention monitors the effect differences of algorithms and traceability logic in real time, issues warnings in time according to early warning strategies, and helps enterprises take measures in advance to avoid potential risks. It provides enterprises with a powerful decision support tool through online simulation strategies, and assists enterprises in making the best choice quickly by simulating the execution effects of different solutions, with the characteristics of high real-time performance and convenience.

[0027] 4. The system of the present invention provides an intuitive and easy-to-use user interface, so that non-technical users can easily operate and obtain information; the system design takes future scalability into consideration and can easily integrate new functions and modules to meet the growing needs of enterprises.

[0028] Other beneficial effects of the present invention will be explained in the specific implementation manner through the introduction of specific technical features and technical solutions. Through the introduction of these technical features and technical solutions, those skilled in the art should be able to understand the beneficial technical effects brought about by the technical features and technical solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0030] Figure 1 It is an interactive framework diagram of the procurement pre-evaluation and post-procurement review system in an embodiment of the present invention.

[0031] Figure 2 This is a system interaction framework diagram of the procurement in-process monitoring module in an embodiment of the present invention.

[0032] Figure 3 4 is a system block diagram of a strategy-related system in an embodiment of the present invention.

[0033] Figure 4 This is the overall data flow diagram of the present invention.

[0034] Figure 5 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0035] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0036] Example 1

[0037] A procurement traceability online simulation system comprises a simulation strategy module, an online analysis module and a strategy review module.

[0038] The simulation strategy module is used to collect supplier data for strategy simulation and output simulation results;

[0039] Among them, supplier data includes historical data and market trend data, and is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system and then transmitted to the simulation strategy module through the API interface; the simulation strategy module uses AI algorithms to simulate costs, freight and delivery times.

[0040] The online analysis module is used to receive and evaluate simulation results. If the evaluation results do not meet the preset thresholds and conditions, an abnormal warning will be issued. The online analysis module maintains core data such as the supplier's valid price information, brand authorization information, and valid supplier status information, and compares the costs, delivery dates, and account periods of different traceability channels online based on the twin strategy empty-run technology to achieve real-time warning and decision support.

[0041] The strategy review module summarizes all data and converts them into dynamic reports that can be updated in real time, and generates strategy adjustments and optimization suggestions based on the dynamic reports.

[0042] The present invention uses a combination of data analysis, real-time monitoring and post-event review methods to provide a comprehensive, dynamic and closed-loop management framework for procurement traceability, which can effectively manage supply chain risks, optimize procurement decisions, and improve the overall performance of the supply chain, and has good practicality.

[0043] Example 2

[0044] Reference Figure 1 and Figure 2 As shown in the figure, a procurement traceability online simulation system realizes the comprehensive management and optimization of procurement traceability strategy through three core stages:

[0045] Pre-strategy evaluation stage: Before the procurement traceability strategy is changed, this embodiment uses a strategy evaluation module to predict the potential impact of the strategy change and its expected effect. This module provides decision makers with forward-looking insights into strategy changes by analyzing historical data and market trends.

[0046] In-process strategy monitoring stage: During the application of the procurement traceability strategy, this embodiment uses the front-end traceability anomaly detection module to monitor the supplier master data in real time to ensure the accuracy and latest of the data. At the same time, through the twin strategy empty run technology, this system can compare the cost, delivery date and account period of different traceability channels online to achieve real-time warning and decision support.

[0047] Post-strategy review stage: After the procurement traceability strategy is applied, this embodiment uses the strategy review module to conduct an in-depth analysis of the strategy application effect, summarize the experience and lessons, and provide a basis for future strategy adjustment and optimization.

[0048] This system will comprehensively consider the multi-dimensional information of suppliers, including but not limited to price, quality, delivery time, service level and historical cooperation performance. Through intelligent decision-making models, it will help companies quickly identify the best suppliers and optimize the procurement process.

[0049] In addition, the system will also provide real-time market trend analysis, risk warning and supply chain collaboration functions to enhance the company's adaptability and competitiveness in a complex market environment. Through this online decision support, companies can formulate procurement strategies more accurately, improve procurement efficiency, reduce procurement costs, and ultimately achieve overall optimization and value maximization of the supply chain.

[0050] This system provides a powerful technical support platform for supply chain companies, helping enterprises make smarter and more efficient purchasing decisions in a changing market environment and meeting the urgent needs of current supply chain companies. Based on the core idea of ​​operations optimization, on the premise of meeting delivery dates and timeliness, with the goal of minimizing costs (purchasing costs plus transportation costs), the best supplier is found online based on this goal, thereby achieving the goal of reducing costs.

[0051] Example 3

[0052] A procurement traceability online simulation system, comprising:

[0053] Reference Figure 1 As shown, this embodiment uses historical purchase order information, configures a parameter table, and uses APIs of different procurement traceability strategies: current situation strategy, simulation strategy, and strategies for different scenarios set by algorithms to trace suppliers, output simulation data of the results, and perform data analysis based on the output simulation data. By analyzing historical data and market trends, forward-looking insights into strategy changes are provided to decision makers. After the procurement traceability strategy is applied, the strategy review module is used to conduct an in-depth analysis of the strategy application effect, summarize lessons learned, and provide a basis for future strategy adjustments and optimizations.

[0054] Reference Figure 2As shown, in-process strategy monitoring includes a front-end traceability anomaly detection module and a twin strategy dry-run technology.

[0055] Among them, the supplier pre-anomaly detection module focuses on maintaining the core master data of suppliers, including whether the price is valid, whether the brand is authorized, and whether the supplier status is valid. This module can detect data anomalies in a timely manner through real-time monitoring and analysis, thereby ensuring the accuracy and update of supplier information. In this way, enterprises can quickly respond to price changes or authorization updates to ensure the real-time and effectiveness of procurement decisions.

[0056] The twin strategy dry run technology is another important innovation of this invention. By simulating the procurement process, this technology can test and evaluate different procurement strategies without affecting the actual business. In this way, enterprises can compare the costs, delivery dates and payment terms of different traceability channels online, thereby achieving in-depth analysis and optimization of procurement strategies.

[0057] In summary, the procurement traceability strategy of the present invention realizes a comprehensive upgrade of in-process strategy monitoring through pre-anomaly detection and twin strategy empty running technology, providing enterprises with an efficient, reliable and forward-looking supply chain management solution.

[0058] Reference Figure 3 As shown, the OMS order management system and the SRM supplier relationship management system interact with each other and form the main source of data output.

[0059] Reference Figure 4As shown in the figure, according to different strategies, the data flow of the system starts with the information of existing suppliers of purchase orders (PO), which includes the cost, freight and delivery time of suppliers. Through the API interface, the data of existing suppliers is transmitted to the simulation strategy module to realize data integration and interaction. The simulation strategy module receives data from the API and uses AI algorithm strategies to simulate and analyze the cost, freight and delivery time. The simulation results are evaluated by the online analysis module, and real-time warnings are issued according to the preset thresholds and conditions to facilitate timely adjustment of procurement strategies. According to the simulation strategy and the results of online analysis, the system generates a purchase order (PO) creation message and sends it to relevant stakeholders through the API. The system summarizes all relevant data and converts them into dynamic reports, which can be updated in real time to provide intuitive data support for decision makers. The AI ​​algorithm strategy module proposes recommended solutions based on the summarized data analysis results, including optimization suggestions for cost, freight and delivery time. The system is integrated with FineBI (Finsoft Business Intelligence Tool) to enhance data insight and decision support by leveraging its powerful data analysis and visualization capabilities. The system uses ClickHouse as a database solution, which is a high-performance columnar database for storing and managing large amounts of data and providing fast query response. Data flows in the system along the following path: PO existing suppliers → API → simulation strategy → online analysis and early warning → PO creates messages → aggregates data into dynamic reports → AI algorithm strategy → ClickHouse → FineBI;

[0060] Overall, the procurement traceability online simulation system integrates multiple modules and tools to achieve full process automation from data collection, simulation analysis, result warning to decision support, thereby improving the efficiency and accuracy of procurement traceability.

[0061] Example 4

[0062] Reference Figure 5 As shown, a procurement traceability online simulation method includes:

[0063] Strategy simulation steps: Collect supplier data, use AI algorithms to simulate costs, freight and delivery dates, and output simulation results; supplier data includes historical data and market trend data, and is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system, and is transmitted through the API interface;

[0064] Strategy evaluation steps: Receive simulation results and evaluate them. If the evaluation results do not meet the preset thresholds and conditions, issue an abnormal warning. Maintain core master data such as supplier price validity information, brand authorization information, and supplier status validity information. Based on the twin strategy empty run technology, compare the costs, delivery dates, and account periods of different traceability channels online to achieve real-time warning and decision support.

[0065] Strategy review steps: Summarize all data and convert them into dynamic reports that can be updated in real time, and generate strategy adjustments and optimization suggestions based on the dynamic reports.

[0066] The present invention can calculate the costs corresponding to different traceability schemes (online original strategy, simulation strategy, application strategy for different algorithm scenarios) in real time, and can also comprehensively evaluate other key factors, such as the supplier's delivery period as a proportion of the total delivery period and whether the supplier is localized, etc., to provide comprehensive support for procurement decisions with high flexibility.

[0067] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0068] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A procurement traceability online simulation system, characterized in that: include: The simulation strategy module is used to collect supplier data for strategy simulation and output simulation results; The supplier data includes historical data and market trend data; The online analysis module is used to receive and evaluate the simulation results. If the evaluation results do not meet the preset thresholds and conditions, an abnormal warning is issued; The strategy review module summarizes all data and converts them into dynamic reports, and generates strategy adjustments and optimization suggestions based on the dynamic reports; the dynamic reports can be updated in real time.

2. The procurement traceability online simulation system according to claim 1 is characterized in that: The supplier data is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system.

3. The procurement traceability online simulation system according to claim 2 is characterized in that: The supplier data is transmitted to the simulation strategy module based on the API interface; the simulation strategy module uses an AI algorithm to simulate costs, freight and delivery times.

4. The procurement traceability online simulation system according to claim 1 is characterized in that: The online analysis module includes maintaining the core master data of suppliers; the core master data includes price validity information, brand authorization information and supplier status validity information.

5. The procurement traceability online simulation system according to claim 4 is characterized in that: The online analysis module compares the costs, delivery dates and account periods of different traceability channels online based on the twin strategy empty run technology to achieve real-time early warning and decision support.

6. A procurement traceability online simulation method, characterized in that: include: Strategy simulation step: collect supplier data to perform strategy simulation and output simulation results; The supplier data includes historical data and market trend data; Strategy evaluation step: Receive simulation results and evaluate them. If the evaluation results do not meet the preset thresholds and conditions, an abnormal warning will be issued; Strategy review steps: All data are summarized and converted into dynamic reports, and strategy adjustments and optimization suggestions are generated based on the dynamic reports; the dynamic reports can be updated in real time.

7. The online simulation method for purchasing traceability according to claim 6 is characterized in that: The supplier data is formed based on the interaction between the OMS order management system and the SRM supplier relationship management system.

8. The online simulation method for purchasing traceability according to claim 7 is characterized in that: The supplier data is transmitted based on an API interface; the strategy evaluation step includes using an AI algorithm to simulate costs, freight and delivery times.

9. The online simulation method for purchasing traceability according to claim 6 is characterized in that: The strategy evaluation step includes maintaining the core master data of the supplier; the core master data includes price validity information, brand authorization information and supplier status validity information.

10. The online simulation method for procurement tracing according to claim 9 is characterized in that: The strategy evaluation step includes online comparison of costs, delivery dates, and account periods of different traceability channels based on the twin strategy empty run technology to achieve real-time early warning and decision support.

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