Chain entity retail supply and demand link lean management system based on large model

Abstract

The invention discloses a chain entity retail supply and demand link lean management system based on a large model, relates to the technical field of supply chains, and solves the problems of low precision degree and low efficiency of the existing supply and demand link overall management, and the system comprises a demand module and a supply module which are responsible for collecting data on a supply and demand link; the lean management module is used for collecting data of key nodes on a supply and demand link at any time by adopting a mode of continuously operating on a background system of the supply and demand link, taking a large model decision-making mechanism as a core, combining service monitoring indexes and corresponding decision-making rules of all links on the supply and demand link, comparing threshold values and triggering conditions of the data and the monitoring indexes in real time, and outputting a decision-making result; and automatically generating a service instruction and sending the service instruction to each port for execution, and analyzing the execution effect of each execution period to perform parameter optimization for employees. The method has the effects that the decision and instruction execution of the supply and demand link is driven by a lean management mode taking a large model as a core, and the efficiency, timeliness and accuracy of the execution of the supply and demand link are improved.

Description

Technical Field

[0001] The present application relates to the field of supply chain technology, and in particular to a lean management system for supply and demand links of chain physical retail based on a large model. Background Art

[0002] At present, the supply and demand chain on the market is mainly carried by the ERP system (Enterprise Resource Planning) and is executed through manual decision-making and ERP operation. In addition, some companies have optimized certain links in the ERP system through data and algorithms, such as demand forecasting, supply forecasting, etc., but they have not considered and implemented them from the complete closed loop of the supply and demand chain, making the overall management of the supply and demand chain not sophisticated and efficient. The main factor is that the decision-making of each link in the supply and demand chain often relies on personal experience and supervisor judgment, making it difficult to respond to market changes quickly, and the workload of data acquisition and analysis is too large, which greatly reduces the efficiency of decision-making and management. In addition, there are very few factors that can be judged manually, and there is a lack of cross-link decision-making references and interactions, resulting in insufficient granularity and lack of globality in management and control. Summary of the invention

[0003] In order to improve the refinement and efficiency of the overall management of the supply and demand chain, the present application provides a lean management system for the supply and demand chain of chain physical retail based on a large model.

[0004] This application provides a chain entity retail supply and demand link lean management system based on a large model, using the following technical solutions:

[0005] A lean management system for supply and demand links of chain physical retail based on a large model, comprising:

[0006] Demand module and supply module: responsible for collecting data on the supply and demand chain;

[0007] Lean management module: It uses a background system that continuously runs on the supply and demand chain to collect data from key nodes on the supply and demand chain at all times. It combines the business monitoring indicators and corresponding decision-making rules of each link in the supply and demand chain with a large model decision-making mechanism as the core. By comparing data with the thresholds and trigger conditions of monitoring indicators in real time, it automatically generates business instructions and sends them to each port for execution. It analyzes the execution effect of each execution cycle and provides parameters optimization to employees.

[0008] Preferably, the core of the lean management module includes:

[0009] Refine the business indicator system for evaluating business effectiveness and the business knowledge that can influence business actions;

[0010] A business analysis and decision chain based on big models, business knowledge, business indicators, and parameter centers;

[0011] Automatic execution of instructions as well as monitoring and optimization mechanisms of execution effects and exceptions.

[0012] Preferably, the operating mechanism of the lean management module includes:

[0013] Business knowledge: Integrate and convert enterprise knowledge into enterprise knowledge corpus, where enterprise knowledge includes data, business rules, and business processes;

[0014] Big model decision brain: Enterprise knowledge corpus is stored as a knowledge base through vectorization, and the big model is used to read and organize the content of the knowledge base, and combined with business knowledge, it is converted into instructions;

[0015] Monitor execution: Receive instructions from the big model decision brain, call various systems within the enterprise, convert them into orders and tasks, assign them to designated roles for execution, collect results, and continuously optimize rule parameters.

[0016] Preferably, the lean management module is responsible for making automatic decisions by combining data with business rules.

[0017] Preferably, the supply and demand link is driven to operate periodically, and a self-circulating operation and continuous monitoring mode is formed.

[0018] Preferably, the requirement module includes:

[0019] Collect sales and inventory data of various commodities in stores in real time, and formulate the demand for various commodities in the next cycle according to sales speed, inventory and supply conditions;

[0020] Add sales plan parameters, estimate the rationality of demand, confirm the rationality of product structure, and confirm whether products need to be replenished or cleared;

[0021] Add promotional parameters to adjust demand and product structure.

[0022] Preferably, the supply module comprises:

[0023] Collect supply and inventory data and make supply plans based on purchase volume;

[0024] Develop a detailed plan for each commodity to be purchased from each supplier;

[0025] Receive product information from suppliers and specify delivery routes for each store based on the goods in the warehouse.

[0026] In summary, the beneficial effects of this application are:

[0027] 1. This system builds the digitalization of the supply and demand chain of chain physical retail. Based on the big model and combined with the business knowledge and decision-making process of each link in the supply and demand chain, it builds a lean management system for the supply and demand chain, realizes the automatic and continuous operation of the supply and demand chain driven by the system and supports fine-grained management, improves the management sophistication, and improves the execution efficiency of the supply and demand chain;

[0028] 2. The lean management model with big models as the core can realize the data changes caused by business changes at all times and call business rules to make decision instructions in a timely manner, which can improve the timeliness of business decisions to seconds and the granularity of decision making to each store and each single product level;

[0029] 3. The lean management system is self-driven and executed periodically, always ensuring that the execution instructions of the link are highly matched with the current business rules, and improving the sophistication and execution of business management in each link of the supply and demand chain;

[0030] 4. The lean management model with big models as the core drives the decision-making and instruction execution of the supply and demand chain to replace the original manual driving method, thereby improving the efficiency, timeliness and accuracy of the execution of the supply and demand chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the overall system of this embodiment of the present application;

[0032] Figure 2 This is a schematic diagram of the operating mechanism of the lean management module of this embodiment of the present application;

[0033] Figure 3 This is a schematic diagram of the lean operation process of the supply and demand link driven by the large model of this embodiment of the application. DETAILED DESCRIPTION

[0034] The following is in conjunction with the instruction manual Figure 1-3 This application is described in further detail.

[0035] The embodiment of the present application discloses a chain entity retail supply and demand link lean management system based on a big model, including a demand module, a supply module and a lean management module. Among them, the demand module and the supply module are mainly responsible for data collection on the supply and demand link, and the lean management module is mainly responsible for making automatic decisions based on data and business rules. Through data and algorithm modeling of the business, the big model intelligent decision-making of the lean management module is used to improve the precision of decision-making instructions to the store and product level, greatly improving the efficiency of decision-making.

[0036] Specifically, the demand module is responsible for real-time interaction with physical stores to obtain sales and inventory information of various commodities in stores, including:

[0037] (1) Collect store sales and inventory data, and determine the demand for goods in the next cycle based on sales speed, inventory, and supply conditions.

[0038] (2) Add sales plan parameters, estimate the rationality of demand, confirm the rationality of product structure, and determine whether some products need to be replenished or cleared.

[0039] (3) Add promotional parameters to adjust demand and product structure.

[0040] The supply module is responsible for interacting with suppliers, obtaining the fulfillment capabilities of each supplier and product, and establishing its own distribution capabilities, including:

[0041] (1) Collect supply and inventory data and make supply plans based on purchase volume.

[0042] (2) Develop a detailed plan for purchasing each item from each supplier.

[0043] (3) Receive product information from suppliers and specify delivery routes for each store based on the goods in the warehouse.

[0044] The lean management module is a background system that continuously runs on the supply and demand chain. It collects data from key nodes on the supply and demand chain at all times. It combines the business monitoring indicators and corresponding decision-making rules of each link in the supply and demand chain with the big model decision-making mechanism as the core. By comparing the data with the thresholds and trigger conditions of the monitoring indicators in real time, it automatically generates business instructions and sends them to employees, ERP, OA and other ports for execution. It analyzes the execution effect of each execution cycle and optimizes parameters for employees.

[0045] Furthermore, the core of the lean management module includes:

[0046] ① Includes a business indicator system for refining and evaluating business effects and business knowledge that can influence business actions;

[0047] ② Includes a business analysis and decision-making chain based on big models and business knowledge, business indicators, and parameter centers;

[0048] ③ Includes automatic execution of instructions as well as monitoring and optimization mechanisms for execution effects and exceptions.

[0049] Furthermore, the operating mechanism of the lean management module includes business knowledge, big model decision brain, and monitoring execution. Among them, business knowledge construction is the foundation of the lean management system, and its core capability is to integrate and convert enterprise knowledge such as data, business rules, and business processes into enterprise knowledge corpus.

[0050] The big model decision brain first stores the enterprise knowledge corpus into a knowledge base through vectorization, and uses the big model (LLM) to read and organize the knowledge base content, and converts it into instructions in combination with business knowledge.

[0051] The monitoring execution receives instructions from the big model decision brain, calls various systems within the enterprise such as ERP, OA, etc., converts them into orders, tasks, etc., assigns them to designated roles for execution, collects results, and continuously optimizes the rationality of rule parameters.

[0052] Furthermore, the core of lean operation of the supply and demand chain is to self-drive the cyclical operation of the supply and demand chain through the lean management system, change the human-driven mode, extract factors such as personnel and business rules into the parameter center, combine the business data collected at all times, calculate and compare business indicators, and understand, reason and intelligently convert them into instructions based on the rules of the parameter center combined with the big model to be issued to the systems and personnel in each link for execution, forming a self-circulating operation and continuous monitoring mechanism. The specific steps include:

[0053] Big model decision-making stage: Each cycle starts from this stage. Taking the weekly cycle as an example, when each cycle starts, according to the current parameters, the big model executes the first step based on business knowledge and starts the forecast of commodity demand based on each store;

[0054] Demand calculation: Based on the product structure parameters of each store, the sales volume of the past two cycles, and the sales plan requirements for the store, the big model decision calls the demand calculation algorithm to generate the demand for each product in each store;

[0055] Product planning: When the demand for each product in each store is clear, category specialists manually adjust the quantity of different product types, adjust the product ratio, increase or decrease the number of products, etc. according to the popularity of the products in the current market and the coverage of the store products, and finally generate confirmation instructions;

[0056] Supply planning: After the demand quantity and product structure of each store are confirmed, the supply planning module receives relevant instructions and starts supplier matching. The big model decision-making calls the matching algorithm to generate the purchase quantity of each supplier, taking into account the supplier's fulfillment ability, past service ratings, product inventory and other information;

[0057] Procurement management: The big model decision module calls the ERP order API to automatically place orders with various suppliers based on the purchase volume and generate an order tracking list;

[0058] Warehouse management: Warehouse receiving staff scans the order QR code to update the order status, and sorts the generated instructions to the corresponding pallet based on the big model decision calling the distribution algorithm;

[0059] Logistics and distribution: Combined with the needs and locations of each store, the large model decision module generates the delivery time and route for delivery and receipt;

[0060] Effect analysis: monitor the execution of instructions in each link of this cycle, such as forecast quantity, order quantity, receipt quantity, delivery quantity, and sales volume deviation analysis. The large model decision module generates optimization parameter suggestions and generates optimization instructions to the responsible employees in each link;

[0061] Parameter optimization phase: Business staff at each phase receive the optimization parameter instructions pushed by the system and confirm whether to adjust them;

[0062] When one cycle ends, a new cycle starts.

[0063] In the embodiment of the present application, the supply and demand link is a link involving many links and information exchange is required between each link. Therefore, it is necessary to establish a digital model of a complete closed loop of the supply and demand link, including refining business knowledge, data (labels), and algorithms (rules). This is the basic condition for lean management, and at the same time, a mechanism for efficient interaction between each link through data and algorithms is established. Considering that the execution of the supply and demand link depends on people who tend to ignore many details and fail to implement them in place, the big model is used to understand and make intelligent decisions in a timely manner based on the changes in data in combination with business knowledge, drive instructions to execute automatically, ensure that each link is executed in place and reduce the influence of human factors on decision-making. In each link, the business knowledge is refined into the data and algorithm model, understood and intelligently called through the big model, and the precision and efficiency of decision-making are greatly improved with the help of the computing power of the computer, and the parameters of the data and algorithm are optimized through the effect analysis of each cycle execution.

[0064] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A lean management system for supply and demand links of chain physical retail based on a large model, characterized in that: include: Demand module and supply module: responsible for collecting data on the supply and demand chain; Lean management module: It uses a background system that continuously runs on the supply and demand chain to collect data from key nodes on the supply and demand chain at all times. It combines the business monitoring indicators and corresponding decision-making rules of each link in the supply and demand chain with a large model decision-making mechanism as the core. By comparing data with the thresholds and trigger conditions of monitoring indicators in real time, it automatically generates business instructions and sends them to each port for execution. It analyzes the execution effect of each execution cycle and provides parameters optimization to employees.

2. According to the big model-based lean management system for chain entity retail supply and demand links according to claim 1, it is characterized in that: The core of the lean management module includes: Refine the business indicator system for evaluating business effectiveness and the business knowledge that can influence business actions; A business analysis and decision chain based on big models, business knowledge, business indicators, and parameter centers; Automatic execution of instructions as well as monitoring and optimization mechanisms of execution effects and exceptions.

3. According to the big model-based lean management system for chain entity retail supply and demand links according to claim 2, it is characterized in that: The operating mechanism of the lean management module includes: Business knowledge: Integrate and convert enterprise knowledge into enterprise knowledge corpus, where enterprise knowledge includes data, business rules, and business processes; Big model decision brain: Enterprise knowledge corpus is stored as a knowledge base through vectorization, and the big model is used to read and organize the content of the knowledge base, and combined with business knowledge, it is converted into instructions; Monitor execution: Receive instructions from the big model decision brain, call various systems within the enterprise, convert them into orders and tasks, assign them to designated roles for execution, collect results, and continuously optimize rule parameters.

4. According to the big model-based lean management system for chain entity retail supply and demand links in claim 1, it is characterized in that: The lean management module is responsible for making automatic decisions by combining data with business rules.

5. According to the big model-based lean management system for chain entity retail supply and demand links of claim 3, it is characterized in that: Drive the supply and demand link to operate periodically and form a self-circulating operation and continuous monitoring mode.

6. According to the big model-based lean management system for chain entity retail supply and demand links in claim 1, it is characterized in that: The requirements modules include: Collect sales and inventory data of various commodities in stores in real time, and formulate the demand for various commodities in the next cycle according to sales speed, inventory and supply conditions; Add sales plan parameters, estimate the rationality of demand, confirm the rationality of product structure, and confirm whether products need to be replenished or cleared; Add promotional parameters to adjust demand and product structure.

7. According to the big model-based lean management system for chain entity retail supply and demand links in claim 1, it is characterized in that: The provisioning modules include: Collect supply and inventory data and make supply plans based on purchase volume; Develop a detailed plan for each commodity to be purchased from each supplier; Receive product information from suppliers and specify delivery routes for each store based on the goods in the warehouse.

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