Inventory early warning management system for mobile communication products

Abstract

The invention discloses an inventory early-warning management system for mobile communication products, which relates to the technical field of inventory early-warning management and comprises a product data acquisition unit and is applied to a mobile communication product sales store. The product data acquisition unit is used for acquiring supply chain data of various mobile communication products in a mobile communication product sales store, acquiring sales data of the various mobile communication products in the mobile communication product sales store and acquiring inventory data of the various mobile communication products in the mobile communication product sales store; and the obtained data is stored in a database built in the system for management. The invention provides an inventory early warning management system for mobile communication products. Supply chain data, sales data and purchase data of various mobile communication products in each mobile communication product sales store are acquired and stored through an arranged product data acquisition unit.

Description

Technical Field

[0001] The present invention relates to the technical field of inventory early warning management, and in particular to an inventory early warning management system for mobile communication products. Background Art

[0002] At present, in the process of warehouse management, the business end needs to have a real-time understanding of the inventory value of each commodity in the warehouse, and needs to respond in time when the inventory of the commodity is insufficient. The quality of warehouse management restricts the performance of the entire supply chain. In the Chinese patent application number 202310642518.4, "an inventory warning method, system, computer equipment and medium for warehouse management are disclosed, which relate to the field of warehouse management technology, wherein the method comprises: presetting the inventory warning value of each commodity in the target warehouse; receiving the query instruction of the target user based on the target warehouse, and displaying the current inventory value of the target commodity corresponding to the query instruction through the target table; real-time monitoring of the current inventory value of the target commodity, when the current inventory value of the target commodity is less than or equal to the corresponding inventory warning value, issuing an inventory warning notification about the target commodity, the method of the present invention can realize the online query and real-time display of the current inventory value of each commodity in the target warehouse, and can also realize the real-time warning when the target commodity is insufficient in inventory".

[0003] This prior art only solves the problem that inventory must prevent both out-of-stock and insufficient inventory, and excessive inventory, and avoids a large amount of unnecessary inventory costs. Insufficient inventory will lead to delayed delivery and customer dissatisfaction; excessive inventory will occupy unnecessary resources. It does not take into account that when conducting inventory early warning management for mobile communication products in mobile communication product sales stores, multi-level inventory backlog thresholds and multi-level inventory shortage thresholds should be set for various mobile communication products in different mobile communication product sales stores, so as to facilitate understanding of the severity of inventory backlog and inventory shortage, and when predicting the demand for mobile communication products, the forecast should be combined with the situation of major customers in each mobile communication product sales store, so as to obtain more accurate mobile communication product demand forecast values. Summary of the invention

[0004] The purpose of the present invention is to provide an inventory early warning management system for mobile communication products to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an inventory early warning management system for mobile communication products, comprising a product data acquisition unit, an inventory early warning management system for mobile communication products applied to a mobile communication product sales store, the product data acquisition unit acquires supply chain data of various mobile communication products in the mobile communication product sales store, acquires sales data of various mobile communication products in the mobile communication product sales store, acquires inventory data of various mobile communication products in the mobile communication product sales store, and stores the acquired data in a built-in database of the system for management; A product data analysis unit, which analyzes the sales data and profit data of various mobile communication products based on the stored supply chain data and sales data of various mobile communication products in the mobile communication product sales store; A product demand forecasting unit, which forecasts the demand for mobile communication products from two aspects: the market demand for mobile communication products by mobile communication product sales stores and the demand for mobile communication products by major customers within the mobile communication product sales stores, by building models, and obtains forecast results of the market demand forecasting model and the customer demand forecasting model; A product abnormality warning unit is provided. The product abnormality warning unit sets a graded inventory backlog threshold and a graded inventory shortage threshold for various mobile communication products based on the prediction results of the market demand prediction model and the customer demand prediction model, and performs an inventory abnormality warning in combination with the inventory data stored in the system data set.

[0006] Preferably, the product data acquisition unit includes a product supply chain data acquisition module and a product sales data acquisition module, the product supply chain data acquisition module acquires the procurement channels, procurement costs and procurement quantity data of various mobile communication products in each mobile communication product sales store, the product sales data acquisition module and the product supply chain data acquisition module are electrically connected, the product sales data acquisition module acquires the sales data of various mobile communication products in each mobile communication product sales store, and based on the procurement volume of mobile communication products by customers in the mobile communication product sales store, generates a list of major customers of each mobile communication product sales store, and the major customer standards of the mobile communication product sales stores can be formulated by the store managers of each mobile communication product sales store.

[0007] Preferably, the product data acquisition unit also includes a product inventory data acquisition module and a product data storage module, the product inventory data acquisition module and the product sales data acquisition module are electrically connected, the product inventory data acquisition module acquires the inventory data of various mobile communication products in mobile communication product sales stores, which is obtained by subtracting the sales data of the corresponding mobile communication products from the purchase data of various mobile communication products, the product data storage module and the product inventory data acquisition module are electrically connected, the product data storage module uploads the acquired purchase channels, purchase cost data, purchase quantity data, sales data and inventory data of various mobile communication products in each mobile communication product sales store to the system's built-in database for storage and management.

[0008] Preferably, the product data analysis unit includes a product sales data analysis module, which is based on the sales data of various mobile communication products in each mobile communication product sales store stored in the system's built-in database, to understand the changes in demand for various mobile communication products in each mobile communication product sales store in the short term, as well as the sales share information of each mobile communication product sales store in the mobile communication product market, so that each mobile communication product sales store can grasp the mobile communication product market situation and the market competitiveness level of its own mobile communication product sales store, thereby formulating a mobile communication product marketing strategy that suits its own mobile communication product sales store.

[0009] Preferably, the product data analysis unit also includes a product profit data analysis module, and the product profit data analysis module is electrically connected to the product sales data analysis module. The product profit data analysis module obtains sales profit data of various mobile communication products based on the purchase cost data, purchase quantity and sales data of various mobile communication products stored in the mobile communication product sales store, and obtains the revenue brought by various mobile communication products to the mobile communication product sales store, so as to facilitate the mobile communication product sales store to adjust the purchase quantity of various mobile communication products in the store and maximize sales profits.

[0010] Preferably, the product demand forecasting unit includes a market demand forecasting model building module, which forecasts the demand for mobile communication products from the perspective of the market demand for mobile communication products from the perspective of mobile communication product sales outlets by constructing a market demand forecasting model. Specifically, the Informer model and the ARIMA model are selected as base models to construct a market demand forecasting model in combination, and the ARIMA model is used to effectively extract the characteristics of short-term linear dependencies in the data, and the short-term linear dependencies in the characteristic data set of the market demand for mobile communication products are extracted. The Informer model is used to effectively extract the characteristics of long-term dependent components of multivariate data, and the long-term dependent components of multiple variables in the characteristic data set of the market demand for mobile communication products are extracted. The Informer model and the ARIMA model are selected to complement each other's advantages, and the weights of the combined model are quickly solved by the PSO particle swarm optimization algorithm to obtain the market demand forecasting model.

[0011] Preferably, the product demand forecasting unit includes a customer demand forecasting model building module, which forecasts the demand for mobile communication products from the demand of major customers within mobile communication product sales stores for mobile communication products by constructing a customer demand forecasting model. Specifically, the customer demand forecasting model is constructed based on a grey forecasting model, and in order to improve the prediction accuracy of the original grey forecasting model, the method of calculating the background value by the average generation algorithm in the original grey forecasting model is eliminated, and a genetic algorithm is used instead to determine the method for calculating the background value, so as to maximize the prediction accuracy of the customer demand forecasting model.

[0012] Preferably, the product demand forecasting unit also includes a model training module and a model output result acquisition module, the model training module crawls the mobile communication product market demand sample data and the mobile communication product customer demand sample data respectively through a network crawler, and based on this, constructs a mobile communication product market demand sample data set and a mobile communication product customer demand sample data set respectively, performs model training on the market demand forecasting model through the mobile communication product market demand sample data set, and performs model training on the customer demand forecasting model through the mobile communication product customer demand sample data set, and performs accuracy verification operations on the trained market demand forecasting model and customer demand forecasting model respectively, and the model output result acquisition module The module is electrically connected to the model training module, and the model output result acquisition module predicts the market demand forecast amount of each mobile communication product and obtains the forecast result through the trained market demand forecast model based on the sales data of the mobile communication products after the major customer procurement data is removed, and predicts the major customer demand forecast amount of each mobile communication product and obtains the forecast result based on the procurement data of the major customers for each mobile communication product through the trained customer demand forecast model, and adds up the results of the two to obtain the mobile communication product demand forecast amount of each mobile communication product sales store, and adds up the mobile communication product demand forecast amounts of each mobile communication product sales store to obtain the total mobile communication product demand forecast amount.

[0013] Preferably, the product abnormality warning unit includes a multi-level inventory management module, which calculates the inventory backlog threshold of each mobile communication product in the mobile communication product sales store based on the mobile communication product demand forecast and the total mobile communication product demand forecast of each mobile communication product sales store through an inventory backlog threshold algorithm, and the specific calculation formula is as follows: In the formula, Indicates the first Sales volume of mobile communication products, Indicates the number of mobile communication product sales outlets Total sales of mobile communication products, Indicates the first The sales share of mobile communication products Indicates the first Forecasted demand for mobile communication products, Indicates The total demand forecast of the mobile communication products is calculated, and multiple levels of inventory backlog thresholds are set for the same mobile communication product. Specifically, the high-level backlog risk warning threshold is calculated by the above method using the relevant data of the latest 12 weeks, the intermediate backlog risk warning threshold is calculated by the above method using the relevant data of the latest 8 weeks, and the low-level backlog risk warning threshold is calculated by the above method using the relevant data of the latest 4 weeks. The inventory shortage threshold algorithm is used to calculate the inventory shortage threshold of each mobile communication product in the mobile communication product sales store. The specific calculation formula is as follows: In the formula, represents the number of mobile communication product sales stores. The sales volume of mobile communication products in the current week, Indicates the first The sales volume of mobile communication products in the week before the current week, Indicates the first The sales volume of mobile communication products in the two weeks before the current week. It represents the floating coefficient, and multiple levels of inventory shortage thresholds are set for the same mobile communication product. Specifically, the high-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest 1 week, the medium-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest 2 weeks, and the low-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest 3 weeks.

[0014] Preferably, the product abnormality warning unit also includes an inventory abnormality warning module, and the inventory abnormality warning module is electrically connected to the multi-level inventory management module. The inventory abnormality warning module compares the inventory quantity of various mobile communication products in the mobile communication product sales store with the multiple risk warning thresholds set for the mobile communication product by the mobile communication product sales store. When the inventory quantity is greater than the corresponding backlog risk warning threshold, the corresponding level of backlog risk warning information is triggered; when the inventory quantity is less than the corresponding level of shortage risk warning threshold, the corresponding level of shortage risk warning information is triggered, thereby realizing inventory abnormality warning management for the mobile communication product sales store.

[0015] Compared with the prior art, the beneficial effects of the present invention at least include: the present invention proposes an inventory early warning management system for mobile communication products, which acquires and stores the supply chain data, sales data and procurement data of various mobile communication products in each mobile communication product sales store through a set product data acquisition unit, analyzes the sales data and profit data of various mobile communication products based on the stored supply chain data and sales data of various mobile communication products in the mobile communication product sales store through a set product data analysis unit, thereby facilitating the mobile communication product sales store to formulate a mobile communication product marketing strategy that suits itself, predicts the demand for mobile communication products from two aspects: the market demand for mobile communication products from the mobile communication product sales store and the demand for mobile communication products from major customers within the mobile communication product sales store, thereby obtaining a more accurate mobile communication product demand forecast value, and sets a graded inventory backlog threshold and a graded inventory shortage threshold for various mobile communication products in each mobile communication product sales store through a set product abnormality early warning unit to meet the conditions of different mobile communication product sales stores and perform abnormal inventory management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present invention; Figure 2 This is a schematic diagram of the process of a product data acquisition unit according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the process of a product data analysis unit according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the product demand forecasting unit flow in an embodiment of the present invention; Figure 5 The figure is a flow chart of a product abnormality warning unit according to an embodiment of the present invention.

[0017] In the figure: 100, product data acquisition unit; 101, product supply chain data acquisition module; 102, product sales data acquisition module; 103, product inventory data acquisition module; 104, product data storage module; 200, product data analysis unit; 201, product sales data analysis module; 202, product profit data analysis module; 300, product demand forecasting unit; 301, market demand forecasting model building module; 302, customer demand forecasting model building module; 303, model training module; 304, model output result acquisition module; 400, product abnormality warning unit; 401, multi-level inventory management module; 402, inventory abnormality warning module. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1-Figure 5 The present invention provides a technical solution: an inventory early warning management system for mobile communication products, comprising a product data acquisition unit 100, an inventory early warning management system for mobile communication products applied to a mobile communication product sales store, the product data acquisition unit 100 acquires supply chain data of various mobile communication products in the mobile communication product sales store, acquires sales data of various mobile communication products in the mobile communication product sales store, acquires inventory data of various mobile communication products in the mobile communication product sales store, and stores the acquired data in a built-in database of the system for management; The product data analysis unit 200 analyzes the sales data and profit data of various mobile communication products based on the supply chain data and sales data of various mobile communication products in the mobile communication product sales store; The product demand forecasting unit 300 forecasts the demand for mobile communication products from two aspects: the market demand for mobile communication products by mobile communication product sales stores and the demand for mobile communication products by major customers within the mobile communication product sales stores. The model is constructed to obtain the forecast results of the market demand forecasting model and the customer demand forecasting model. The product abnormality warning unit 400 sets a graded inventory backlog threshold and a graded inventory shortage threshold for various mobile communication products based on the prediction results of the market demand prediction model and the customer demand prediction model, and performs inventory abnormality warning in combination with the inventory data stored in the system data set.

[0020] The product data acquisition unit 100 includes a product supply chain data acquisition module 101 and a product sales data acquisition module 102. The product supply chain data acquisition module 101 acquires the procurement channels, procurement costs and procurement quantity data of various mobile communication products in each mobile communication product sales store. The product sales data acquisition module 102 is electrically connected to the product supply chain data acquisition module 101. The product sales data acquisition module 102 acquires the sales data of various mobile communication products in each mobile communication product sales store, and generates a list of major customers of each mobile communication product sales store based on the procurement volume of mobile communication products by customers in the mobile communication product sales store. The major customer standards of the mobile communication product sales store can be formulated by the store manager of each mobile communication product sales store. The product data acquisition unit 100 also includes a product inventory data acquisition module 103 and a product data storage module 104. The product inventory data acquisition module 103 is electrically connected to the product sales data acquisition module 102. The product inventory data acquisition module 103 acquires inventory data of various mobile communication products in mobile communication product sales stores, which is obtained by subtracting sales data of corresponding mobile communication products from purchase data of various mobile communication products. The product data storage module 104 is electrically connected to the product inventory data acquisition module 103. The product data storage module 104 uploads the acquired purchase channels, purchase cost data, purchase quantity data, sales data and inventory data of various mobile communication products in each mobile communication product sales store to the system's built-in database for storage and management. The product data analysis unit 200 includes a product sales data analysis module 201. The product sales data analysis module 201 is based on the sales data of various mobile communication products in various mobile communication product sales stores stored in the system's built-in database. It understands the demand changes of various mobile communication products in various mobile communication product sales stores in the short term, and understands the sales share information of each mobile communication product sales store in the mobile communication product market, so that each mobile communication product sales store can grasp the mobile communication product market situation and the market competitiveness level of its own mobile communication product sales store, so as to formulate a mobile communication product marketing strategy that meets the needs of its own mobile communication product sales store; The product data analysis unit 200 further includes a product profit data analysis module 202, which is electrically connected to the product sales data analysis module 201. The product profit data analysis module 202 obtains sales profit data of various mobile communication products based on the stored purchase cost data, purchase quantity and sales data of various mobile communication products in the mobile communication product sales store, and obtains the revenue brought by various mobile communication products to the mobile communication product sales store, so as to facilitate the mobile communication product sales store to adjust the purchase quantity of various mobile communication products in the store and maximize the sales profit; The product demand forecasting unit 300 includes a market demand forecasting model building module 301. The market demand forecasting model building module 301 forecasts the demand for mobile communication products from the perspective of the market demand for mobile communication products from mobile communication product sales stores by building a market demand forecasting model. Specifically, the Informer model and the ARIMA model are selected as base models to construct a market demand forecasting model in combination. The ARIMA model can effectively extract the characteristics of short-term linear dependencies in the data, and extract the short-term linear dependencies in the feature data set of the market demand for mobile communication products. The Informer model can effectively extract the characteristics of long-term dependent components of multivariate data, and extract the long-term dependent components of multiple variables in the feature data set of the market demand for mobile communication products. The Informer model and the ARIMA model can complement each other, and the weights of the combined model are quickly solved by the PSO particle swarm optimization algorithm to obtain the market demand forecasting model. The product demand forecasting unit 300 includes a customer demand forecasting model building module 302. The customer demand forecasting model building module 302 forecasts the demand for mobile communication products from the demand of major customers within the mobile communication product sales store for mobile communication products by building a customer demand forecasting model. Specifically, the customer demand forecasting model is built based on a grey forecasting model. In order to improve the prediction accuracy of the original grey forecasting model, the method of calculating the background value using the average generation algorithm in the original grey forecasting model is eliminated, and a genetic algorithm is used to determine the method of calculating the background value, so as to maximize the prediction accuracy of the customer demand forecasting model. The product demand forecasting unit 300 also includes a model training module 303 and a model output result acquisition module 304. The model training module 303 crawls the market demand sample data of mobile communication products and the customer demand sample data of mobile communication products through a network crawler, and constructs a mobile communication product market demand sample data set and a mobile communication product customer demand sample data set based on the data, performs model training on the market demand forecasting model through the mobile communication product market demand sample data set, and performs model training on the customer demand forecasting model through the mobile communication product customer demand sample data set, and performs accuracy verification operations on the trained market demand forecasting model and customer demand forecasting model respectively. The model output result acquisition module 304 304 is electrically connected to the model training module 303. The model output result acquisition module 304 predicts the market demand forecast of each mobile communication product based on the sales data of the mobile communication products after the major customer purchase data is removed, and obtains the prediction results through the trained market demand prediction model. Based on the major customer purchase data of each mobile communication product, the major customer demand forecast of each mobile communication product is predicted and obtained through the trained customer demand prediction model. The results of the two are accumulated to obtain the mobile communication product demand forecast of each mobile communication product sales store, and the mobile communication product demand forecast of each mobile communication product sales store is accumulated to obtain the total mobile communication product demand forecast. The product abnormality warning unit 400 includes a multi-level inventory management module 401. The multi-level inventory management module 401 calculates the inventory backlog threshold of each mobile communication product in the mobile communication product sales store based on the mobile communication product demand forecast and the total mobile communication product demand forecast of each mobile communication product sales store through an inventory backlog threshold algorithm. The specific calculation formula is as follows: In the formula, Indicates the first Sales volume of mobile communication products, Indicates the number of mobile communication product sales outlets Total sales of mobile communication products, Indicates the first The sales share of mobile communication products Indicates the first Forecasted demand for mobile communication products, Indicates The total demand forecast of the mobile communication products is calculated, and multiple levels of inventory backlog thresholds are set for the same mobile communication product. Specifically, the high-level backlog risk warning threshold is calculated by the above method using the relevant data of the latest 12 weeks, the intermediate backlog risk warning threshold is calculated by the above method using the relevant data of the latest 8 weeks, and the low-level backlog risk warning threshold is calculated by the above method using the relevant data of the latest 4 weeks. The inventory shortage threshold algorithm is used to calculate the inventory shortage threshold of each mobile communication product in the mobile communication product sales store. The specific calculation formula is as follows: In the formula, Indicates the first The sales volume of mobile communication products in the current week, Indicates the first The sales volume of mobile communication products in the week before the current week, Indicates the first The sales volume of mobile communication products in the two weeks before the current week. It represents the floating coefficient, and multiple levels of inventory shortage thresholds are set for the same mobile communication product. Specifically, the high-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest week, the medium-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest 2 weeks, and the low-level shortage risk warning threshold is calculated by the above method using the relevant data of the latest 3 weeks; The product abnormality warning unit 400 also includes an inventory abnormality warning module 402, which is electrically connected to the multi-level inventory management module 401. The inventory abnormality warning module 402 compares the inventory quantity of various mobile communication products in the mobile communication product sales store with the multiple risk warning thresholds set for the mobile communication products by the mobile communication product sales store. When the inventory quantity is greater than the corresponding backlog risk warning threshold, the corresponding level of backlog risk warning information is triggered. When the inventory quantity is less than the corresponding level of shortage risk warning threshold, the corresponding level of shortage risk warning information is triggered, thereby realizing inventory abnormality warning management for the mobile communication product sales store.

[0021] Working principle: The product supply chain data acquisition module 101 is used to acquire the procurement channels, procurement costs and procurement quantity data of various mobile communication products in each mobile communication product sales store; the product sales data acquisition module 102 is used to acquire the sales data of various mobile communication products in each mobile communication product sales store; the product inventory data acquisition module 103 is used to acquire the inventory data of various mobile communication products in the mobile communication product sales store; the product data storage module 104 is used to upload the acquired related data to the system's built-in database for storage and management; the product sales data analysis module 201 is used to analyze the sales data of various mobile communication products; the product profit data analysis module 202 is used to analyze the profit data of various mobile communication products; the market demand forecasting model construction module 30 is used to build the market demand forecasting model 1 From the perspective of the market demand for mobile communication products by mobile communication product sales stores, the demand for mobile communication products is predicted by constructing a market demand prediction model. From the perspective of the demand for mobile communication products by major customers within mobile communication product sales stores, the demand for mobile communication products is predicted by constructing a customer demand prediction model through the set customer demand prediction model construction module 302. The market demand prediction model and the customer demand prediction model are trained through the set model training module 303. The prediction results of the market demand prediction model and the customer demand prediction model are obtained through the set model output result acquisition module 304. The multi-level inventory management module 401 is used to set a multi-level inventory backlog threshold and a multi-level inventory shortage threshold for the same mobile communication product. The set inventory abnormality warning module 402 is used to perform an inventory abnormality warning in combination with the inventory data stored in the system data set.

[0022] 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.

[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An inventory early warning management system for mobile communication products, characterized in that: A product data acquisition unit (100) is provided, wherein the inventory early warning management system for mobile communication products is applied to a mobile communication product sales store, wherein the product data acquisition unit (100) acquires supply chain data of various mobile communication products in the mobile communication product sales store, acquires sales data of various mobile communication products in the mobile communication product sales store, acquires inventory data of various mobile communication products in the mobile communication product sales store, and stores the acquired data in a database built into the system for management; A product data analysis unit (200), wherein the product data analysis unit (200) analyzes the sales data and profit data of various mobile communication products based on the stored supply chain data and sales data of various mobile communication products in the mobile communication product sales store; A product demand prediction unit (300), the product demand prediction unit (300) predicts the demand for mobile communication products from two aspects: the market demand for mobile communication products by mobile communication product sales stores and the demand for mobile communication products by major customers within the mobile communication product sales stores, respectively, by building models, and obtains prediction results of the market demand prediction model and the customer demand prediction model; A product abnormality warning unit (400) is provided. The product abnormality warning unit (400) sets a graded inventory overstock threshold and a graded inventory shortage threshold for each mobile communication product based on the prediction results of the market demand prediction model and the customer demand prediction model for each mobile communication product, and performs an inventory abnormality warning in combination with the inventory data stored in the system data set.

2. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product data acquisition unit (100) comprises a product supply chain data acquisition module (101) and a product sales data acquisition module (102). The product supply chain data acquisition module (101) acquires the procurement channel, procurement cost and procurement quantity data of various mobile communication products in each mobile communication product sales store. The product sales data acquisition module (102) and the product supply chain data acquisition module (101) are electrically connected. The product sales data acquisition module (102) acquires the sales data of various mobile communication products in each mobile communication product sales store, and generates a list of major customers of each mobile communication product sales store based on the procurement volume of mobile communication products by customers in the mobile communication product sales store. The major customer standards of the mobile communication product sales store can be set by the store manager of each mobile communication product sales store.

3. The inventory early warning management system for mobile communication products according to claim 2, characterized in that: The product data acquisition unit (100) further comprises a product inventory data acquisition module (103) and a product data storage module (104). The product inventory data acquisition module (103) is electrically connected to the product sales data acquisition module (102). The product inventory data acquisition module (103) acquires inventory data of various mobile communication products in mobile communication product sales stores, obtained by subtracting sales data of corresponding mobile communication products from purchase data of various mobile communication products. The product data storage module (104) is electrically connected to the product inventory data acquisition module (103). The product data storage module (104) uploads the acquired purchase channels, purchase cost data, purchase quantity data, sales data and inventory data of various mobile communication products in various mobile communication product sales stores to a built-in database of the system for storage and management.

4. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product data analysis unit (200) comprises a product sales data analysis module (201). The product sales data analysis module (201) is based on the sales data of various mobile communication products in various mobile communication product sales stores stored in the system's built-in database, to understand the demand changes of various mobile communication products in various mobile communication product sales stores in the short term, and to understand the sales share information of each mobile communication product sales store in the mobile communication product market, so as to facilitate each mobile communication product sales store to grasp the mobile communication product market situation and the market competitiveness level of its own mobile communication product sales store, so as to formulate a mobile communication product marketing strategy that is suitable for its own mobile communication product sales store.

5. The inventory early warning management system for mobile communication products according to claim 4, characterized in that: The product data analysis unit (200) further comprises a product profit data analysis module (202), wherein the product profit data analysis module (202) is electrically connected to the product sales data analysis module (201), and the product profit data analysis module (202) obtains sales profit data of various mobile communication products based on the purchase cost data, purchase quantity and sales data of various mobile communication products stored in the mobile communication product sales store, and obtains the revenue brought by various mobile communication products to the mobile communication product sales store, so as to facilitate the mobile communication product sales store to adjust the purchase quantity of various mobile communication products in the store and realize the maximization of sales profit.

6. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product demand forecasting unit (300) comprises a market demand forecasting model building module (301). The market demand forecasting model building module (301) forecasts the demand for mobile communication products from the perspective of the market demand for mobile communication products from mobile communication product sales outlets by constructing a market demand forecasting model. Specifically, the Informer model and the ARIMA model are selected as base models to construct a market demand forecasting model in combination. The ARIMA model can effectively extract the short-term linear dependency relationship in the data, and the short-term linear dependency relationship in the feature data set of the market demand for mobile communication products is extracted. The Informer model can effectively extract the long-term dependency component of multivariate data, and the long-term dependency component of multiple variables in the feature data set of the market demand for mobile communication products is extracted. The Informer model and the ARIMA model are selected to complement each other, and the weight of the combined model is quickly solved by the PSO particle swarm optimization algorithm to obtain the market demand forecasting model.

7. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product demand prediction unit (300) includes a customer demand prediction model construction module (302). The customer demand prediction model construction module (302) predicts the demand for mobile communication products from major customers within mobile communication product sales stores by constructing a customer demand prediction model. Specifically, the customer demand prediction model is constructed based on a grey prediction model. In order to improve the prediction accuracy of the original grey prediction model, the method of calculating the background value using the average generation algorithm in the original grey prediction model is eliminated, and a genetic algorithm is used instead to determine the method of calculating the background value, so as to maximize the prediction accuracy of the customer demand prediction model.

8. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product demand prediction unit (300) further comprises a model training module (303) and a model output result acquisition module (304), wherein the model training module (303) crawls the market demand sample data of mobile communication products and the customer demand sample data of mobile communication products respectively through a web crawler, and based on the crawlers, constructs a mobile communication product market demand sample data set and a mobile communication product customer demand sample data set respectively, performs model training on the market demand prediction model through the mobile communication product market demand sample data set, performs model training on the customer demand prediction model through the mobile communication product customer demand sample data set, and performs accuracy verification operations on the trained market demand prediction model and customer demand prediction model respectively, and the model output result acquisition module (304) The acquisition module (304) and the model training module (303) are electrically connected. The model output result acquisition module (304) predicts the market demand forecast amount of each mobile communication product based on the sales data of the mobile communication products after the major customer purchase data is removed, and obtains the forecast result through the trained market demand forecast model. Based on the major customer purchase data of each mobile communication product, the major customer demand forecast amount of each mobile communication product is predicted and obtained through the trained customer demand forecast model. The two results are accumulated to obtain the mobile communication product demand forecast amount of each mobile communication product sales store. The mobile communication product demand forecast amounts of each mobile communication product sales store are accumulated to obtain the total mobile communication product demand forecast amount.

9. The inventory early warning management system for mobile communication products according to claim 1, characterized in that: The product abnormality warning unit (400) comprises a multi-level inventory management module (401). The multi-level inventory management module (401) calculates the inventory backlog threshold of each mobile communication product in the mobile communication product sales store based on the mobile communication product demand forecast quantity and the mobile communication product demand forecast total quantity in each mobile communication product sales store through an inventory backlog threshold algorithm, and sets a multi-level inventory backlog threshold for the same mobile communication product. The multi-level inventory shortage threshold is calculated for each mobile communication product in the mobile communication product sales store through an inventory shortage threshold algorithm, and sets a multi-level inventory shortage threshold for the same mobile communication product.

10. The inventory early warning management system for mobile communication products according to claim 9, characterized in that: The product abnormality warning unit (400) further comprises an inventory abnormality warning module (402), wherein the inventory abnormality warning module (402) is electrically connected to the multi-level inventory management module (401), and the inventory abnormality warning module (402) compares the inventory quantity of various mobile communication products in the mobile communication product sales store with the various risk warning thresholds set by the mobile communication product sales store for the mobile communication product. When the inventory quantity is greater than the corresponding backlog risk warning threshold, the corresponding level of backlog risk warning information is triggered; when the inventory quantity is less than the corresponding level of shortage risk warning threshold, the corresponding level of shortage risk warning information is triggered, thereby realizing inventory abnormality warning management of the mobile communication product sales store.

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