Logistics decision-making method and system for enterprise sales and delivery based on large model

Abstract

The invention discloses a logistics decision-making method and system for enterprise sales and delivery based on a large model, and relates to the technical field of logistics management, and the method comprises the steps: carrying out the analysis and processing of the real-time order information of an enterprise based on a data management terminal, and obtaining the order delivery address information; according to the invention, firstly, the real-time order information of the enterprise and the position information of the enterprise warehouse are matched, the enterprise warehouse at the optimal delivery position is selected, then the inventory information of the enterprise warehouse at the optimal delivery position and the order number corresponding to the shortest order delivery distance are compared and judged, and the order delivery distance is determined. The method comprises the steps of determining whether the enterprise warehouse at the optimal delivery position needs to be corrected or not, finally, calculating enterprise historical order information and enterprise real-time order information, determining an order variation, and selecting whether to supplement the inventory of the enterprise warehouse at the corrected delivery position or not according to the order variation. The profit of the product is also improved, and meanwhile, the accumulation of a large amount of products is also avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a logistics decision-making method and system for enterprise sales and delivery based on a large model. Background Art

[0002] Logistics refers to the entire process of planning, implementing and managing the transportation, storage and distribution of raw materials, semi-finished products, finished products or related information from the place of production to the place of consumption of the goods in order to meet customer needs.

[0003] After users place orders for products on the company's order platform, the company does not analyze the user's delivery address to select the best warehouse for shipment, which increases the company's logistics costs and reduces the profits of the company's products. Summary of the invention

[0004] In order to solve the above technical problems, a logistics decision-making method and system for enterprise sales and delivery based on a large model is provided. This technical solution solves the problem raised in the above background technology that after a user places an order to purchase a product on the enterprise's order platform, the enterprise does not analyze the user's delivery address to select the optimal warehouse for delivery, which increases the enterprise's logistics costs and reduces the profit of the enterprise's products.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A logistics decision-making method for enterprise sales and delivery based on a large model, including:

[0007] Obtain the real-time order information of the enterprise, analyze and process the real-time order information of the enterprise based on the data management terminal, and obtain the order delivery address information;

[0008] Obtain the enterprise warehouse location information, and match and analyze the order delivery address information and the enterprise warehouse location information based on the data management terminal to determine the enterprise warehouse with the best delivery location;

[0009] Obtain the company's historical order information, analyze and process the company's historical order information based on the data management terminal, and obtain the order change amount;

[0010] The inventory information of the enterprise warehouse at the best delivery location is obtained, and the data management terminal corrects the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location to obtain the enterprise warehouse at the corrected delivery location;

[0011] The data management terminal performs forecast analysis on the enterprise warehouse that modifies the delivery location based on the order change and determines the inventory replenishment information.

[0012] Preferably, the step of obtaining the real-time order information of the enterprise, analyzing and processing the real-time order information of the enterprise based on the data management terminal, and obtaining the order delivery address information specifically includes the following steps:

[0013] Based on the data management terminal, the order platform is read and processed to obtain relevant data of the order platform;

[0014] Based on the data management terminal, the relevant data of the order platform is traversed and processed to obtain the real-time order information of the enterprise;

[0015] Based on the data management terminal, feature extraction and processing are performed on the company's real-time order information to obtain the order delivery address information.

[0016] Preferably, the data management terminal is used to perform data traversal processing on the relevant data of the order platform to obtain the real-time order information of the enterprise, which specifically includes the following steps:

[0017] Based on the data management terminal, data retrieval and processing are performed on the enterprise database to obtain order formulation standards;

[0018] Based on the data management terminal, the order formulation standards are analyzed and processed to obtain order feature information;

[0019] The data management terminal performs data screening and processing on the relevant data of the order platform according to the order characteristic information to obtain the real-time order information of the order platform.

[0020] Preferably, the step of obtaining the enterprise warehouse location information, matching and analyzing the order delivery address information and the enterprise warehouse location information based on the data management terminal, and determining the enterprise warehouse at the best delivery location specifically includes the following steps:

[0021] Based on the data management terminal, data retrieval and processing are performed on the enterprise database to obtain the enterprise warehouse location information;

[0022] Based on the data management terminal, the enterprise warehouse location information and order delivery address information are calculated and processed to obtain the order delivery distance information;

[0023] Based on the data management terminal, the order delivery distance information is sorted and processed to determine the shortest order delivery distance;

[0024] The data management terminal screens and processes the enterprise warehouse location information based on the shortest order delivery distance to determine the enterprise warehouse with the best delivery location.

[0025] Preferably, the specific calculation formula for determining the shortest order delivery distance is:

[0026] In the formula, The shortest order delivery distance; is the order delivery distance information; n is the specific number of order delivery distance information; min() is the minimum function.

[0027] Preferably, the acquisition of the historical order information of the enterprise is based on the data management terminal, and the historical order information of the enterprise is analyzed and processed, and the acquisition of the order change amount specifically includes the following steps:

[0028] Based on the data management terminal, perform data retrieval processing on the enterprise database to obtain the enterprise's historical order information;

[0029] The data management terminal extracts and processes the enterprise's historical order information based on the previous year of the enterprise's real-time order information, and obtains the enterprise's historical order information for the previous year;

[0030] The data management terminal uses the order delivery address information as a feature to perform feature extraction processing on the company's historical order information and real-time order information of the previous year, and obtains the number of historical orders and real-time orders of the same address in the previous year;

[0031] Based on the data management terminal, the difference between the historical order quantity and the real-time order quantity of the same address in the previous year is calculated to obtain the order change.

[0032] Preferably, the step of obtaining the inventory information of the enterprise warehouse at the best delivery location, wherein the data management terminal corrects the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location, and obtaining the enterprise warehouse at the corrected delivery location specifically includes the following steps:

[0033] Based on the data management terminal, data is read and processed for the enterprise warehouse at the best delivery location to obtain the inventory information of the enterprise warehouse at the best delivery location;

[0034] The data management terminal extracts the feature of the enterprise's real-time order information based on the shortest order delivery distance, and obtains the order quantity corresponding to the shortest order delivery distance;

[0035] Based on the data management terminal, the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location are compared and judged to obtain the enterprise warehouse at the corrected delivery location.

[0036] Preferably, the data management terminal is used to determine and process the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location, and obtain the enterprise warehouse at the corrected delivery location, specifically including the following steps:

[0037] Based on the data management terminal, the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location are determined;

[0038] If the order quantity corresponding to the shortest order delivery distance is greater than the inventory information of the enterprise warehouse at the best delivery location, and the inventory information of the enterprise warehouse at the best delivery location cannot meet the order quantity corresponding to the shortest order delivery distance, the order delivery distance information is screened and processed to determine the secondary shortest order delivery distance, and the enterprise warehouse corresponding to the secondary shortest order delivery distance is set as the enterprise warehouse at the corrected delivery location;

[0039] If the order quantity corresponding to the shortest order delivery distance is less than or equal to the inventory information of the enterprise warehouse at the best delivery location, the enterprise warehouse at the best delivery location will be the enterprise warehouse at the revised delivery location.

[0040] Preferably, the data management terminal performs forecast analysis on the enterprise warehouse of the revised delivery location according to the order change amount, and determines the inventory replenishment information, specifically including the following steps:

[0041] Based on the data management terminal, the order change amount and the set order threshold are judged and processed;

[0042] If the order change is greater than or equal to the set order threshold, the user's demand for the product corresponding to the enterprise's real-time order information decreases, and there is no need to replenish the inventory of the enterprise warehouse at the revised delivery location;

[0043] If the order change is less than the set order threshold, the user's demand for the product corresponding to the company's real-time order information increases, and the inventory of the company's warehouse at the corrected delivery location is replenished.

[0044] Furthermore, a logistics decision system for enterprise sales and shipment based on a big model is proposed, which is used to implement the logistics decision method for enterprise sales and shipment based on a big model as described above, including:

[0045] Data management terminal, which is used to control each module to analyze and process the enterprise's real-time order information, enterprise's historical order information and enterprise's warehouse location information, determine the enterprise's warehouse and inventory replenishment information for the corrected delivery location, and realize data transmission and information interaction between each module;

[0046] An enterprise database, wherein the enterprise database is used to store enterprise-related data, including enterprise historical order information, order formulation standards, and enterprise warehouse location information;

[0047] An order platform, which is used by users to purchase products and generate real-time order information for enterprises;

[0048] A data extraction module, which is used to read data from the enterprise database and order platform, and obtain relevant data of the order platform, order formulation standards, enterprise historical order information and enterprise warehouse location information;

[0049] A data analysis module, which performs analysis and processing based on the relevant data of the order platform and the order formulation standards to obtain the order delivery address information. The data analysis module performs analysis and processing based on the enterprise warehouse location information and the order delivery address information to determine the enterprise warehouse with the best delivery location;

[0050] A data calculation module, which performs calculations based on the company's historical order information and the company's real-time order information to obtain order changes;

[0051] A comparison and judgment module, wherein the comparison and judgment module compares and judges the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location, and obtains the enterprise warehouse at the modified delivery location;

[0052] A forecasting and analysis module performs forecasting and analysis on the enterprise warehouse of the revised delivery location according to the order change amount to determine the inventory replenishment information.

[0053] Compared with the prior art, the present invention provides a logistics decision-making method and system for enterprise sales and delivery based on a large model, which has the following beneficial effects:

[0054] The present invention first matches the enterprise's real-time order information and the enterprise's warehouse location information, selects the enterprise warehouse at the best delivery location, then compares and judges the inventory information of the enterprise warehouse at the best delivery location and the order quantity corresponding to the shortest order delivery distance, determines whether it is necessary to correct the enterprise warehouse at the best delivery location, finally, calculates the enterprise's historical order information and the enterprise's real-time order information, determines the order change amount, and chooses whether to replenish the inventory of the enterprise warehouse at the corrected delivery location according to the order change amount. The above method not only reduces the enterprise's logistics costs, but also increases the profit of the product, and at the same time, avoids the large accumulation of products. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A flow chart of steps S100-S500 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0056] Figure 2 This is a flow chart of steps S101-S103 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0057] Figure 3This is a flow chart of steps S1021-S1023 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0058] Figure 4 A flow chart of steps S201-S204 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0059] Figure 5 A flow chart of steps S301-S304 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0060] Figure 6 This is a flow chart of steps S401-S403 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0061] Figure 7 A flow chart of steps S4031-S4033 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0062] Figure 8 This is a flow chart of steps S501-S503 in a logistics decision-making method for enterprise sales and delivery based on a large model proposed by the present invention;

[0063] Fig. 9 This is a structural block diagram of a logistics decision-making system for enterprise sales and shipment based on a large model proposed by the present invention. DETAILED DESCRIPTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0065] Reference Figure 1 As shown, a logistics decision-making method for enterprise sales and delivery based on a large model includes:

[0066] S100, obtaining the real-time order information of the enterprise, analyzing and processing the real-time order information of the enterprise based on the data management terminal, and obtaining the order delivery address information;

[0067] S200, obtaining enterprise warehouse location information, and matching and analyzing the order delivery address information and the enterprise warehouse location information based on the data management terminal to determine the enterprise warehouse at the best delivery location;

[0068] S300, obtaining the historical order information of the enterprise, analyzing and processing the historical order information of the enterprise based on the data management terminal, and obtaining the order change amount;

[0069] S400, obtaining inventory information of the enterprise warehouse at the best delivery location, the data management terminal correcting the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location, and obtaining the enterprise warehouse at the corrected delivery location;

[0070] S500, the data management terminal performs forecast analysis on the enterprise warehouse of the revised delivery location according to the order change amount, and determines the inventory replenishment information;

[0071] It can be understood by those skilled in the art that when an enterprise produces products, it will establish warehouses in different regions. When a user purchases a product on the order platform of the enterprise, the enterprise needs to send the product to the user through logistics. Therefore, the real-time order information of the enterprise in the order platform is analyzed to determine the order delivery address information, and then the enterprise warehouse location information is matched with the order delivery address information to screen out the enterprise warehouse at the best delivery location. However, it is necessary to compare the number of real-time orders of the enterprise with the product inventory in the enterprise warehouse at the best delivery location to determine the enterprise warehouse at the correct delivery location. Because the product inventory in the enterprise warehouse at the best delivery location may not meet the number of real-time orders of the enterprise, it is necessary to correct the enterprise warehouse at the best delivery location through the inventory information of the enterprise warehouse at the best delivery location. In addition, the real-time order information of the enterprise is analyzed through the historical order information of the enterprise to determine the order change amount. Finally, by analyzing the order change amount, it is determined whether it is necessary to replenish the inventory of the enterprise warehouse at the correct delivery location. The above method can not only reduce the logistics cost of the enterprise, but also indirectly increase the profit of the product, and at the same time avoid a large amount of products piling up in the warehouse.

[0072] Reference Figure 2 As shown, obtaining the real-time order information of the enterprise, analyzing and processing the real-time order information of the enterprise based on the data management terminal, and obtaining the order delivery address information specifically include the following steps:

[0073] S101. Based on the data management terminal, data reading and processing is performed on the order platform to obtain relevant data of the order platform;

[0074] S102, based on the data management terminal, perform data traversal processing on the relevant data of the order platform to obtain the real-time order information of the enterprise;

[0075] S103: Based on the data management terminal, feature extraction and processing are performed on the real-time order information of the enterprise to obtain the order delivery address information.

[0076] Reference Figure 3 As shown, based on the data management terminal, the relevant data of the order platform is traversed and processed to obtain the real-time order information of the enterprise, which specifically includes the following steps:

[0077] S1021. Based on the data management terminal, perform data retrieval processing on the enterprise database to obtain order formulation standards;

[0078] S1022. Based on the data management terminal, perform information analysis and processing on the order formulation standard to obtain order feature information;

[0079] S1023. The data management terminal performs data screening and processing on the relevant data of the order platform according to the order characteristic information, and obtains real-time order information of the order platform;

[0080] In this embodiment, different enterprises may have different order formulation standards. Therefore, the order formulation standards of the enterprises are determined by searching the enterprise database, and feature extraction is performed on the enterprise's real-time order information based on the order formulation standards to determine the order delivery address information.

[0081] Reference Figure 4 As shown, obtaining the enterprise warehouse location information, matching and analyzing the order delivery address information and the enterprise warehouse location information based on the data management terminal, and determining the enterprise warehouse at the best delivery location specifically includes the following steps:

[0082] S201, based on the data management terminal, perform data retrieval processing on the enterprise database to obtain the enterprise warehouse location information;

[0083] S202: Based on the data management terminal, the enterprise warehouse location information and the order delivery address information are calculated and processed to obtain the order delivery distance information;

[0084] S203: sorting the order delivery distance information based on the data management terminal to determine the shortest order delivery distance;

[0085] S204, the data management terminal screens and processes the enterprise warehouse location information of the shortest order delivery distance to determine the enterprise warehouse with the best delivery location;

[0086] Among them, the specific calculation formula for determining the shortest order delivery distance is: In the formula, The shortest order delivery distance; is the order delivery distance information; n is the specific number of order delivery distance information; min() is the minimum value function;

[0087] In this embodiment, due to the different construction locations of enterprise warehouses, it is necessary to calculate the enterprise warehouse location information and the order delivery address information to determine the order delivery distance information. Then, the order delivery distance information is screened and the enterprise warehouse location corresponding to the shortest order delivery distance is selected as the optimal delivery location. This method not only enables users to receive products in a shorter time, but also reduces logistics costs and indirectly increases product profits.

[0088] Reference Figure 5 As shown, obtaining the historical order information of the enterprise, analyzing and processing the historical order information of the enterprise based on the data management terminal, and obtaining the order change amount specifically include the following steps:

[0089] S301, based on the data management terminal, perform data retrieval processing on the enterprise database to obtain the enterprise's historical order information;

[0090] S302, the data management terminal extracts and processes the enterprise's historical order information based on the previous year of the enterprise's real-time order information, and obtains the enterprise's historical order information for the previous year;

[0091] S303, the data management terminal performs feature extraction processing on the enterprise's historical order information and the enterprise's real-time order information in the previous year based on the order delivery address information, and obtains the number of historical orders and the number of real-time orders in the previous year for the same address;

[0092] S304, based on the data management terminal, performing a difference calculation between the number of historical orders in the previous year and the number of real-time orders for the same address to obtain an order change amount;

[0093] In this embodiment, user demand changes dynamically every year. In order to roughly analyze user needs for products, the company's real-time order information is analyzed through the company's historical order information from the previous year to determine the change in orders for the same address. Finally, the user's demand for products is determined based on the change in orders for the same address, and it is decided whether to replenish the company's warehouse inventory, which can effectively avoid large accumulation of products in the warehouse.

[0094] Reference Figure 6 As shown, the inventory information of the enterprise warehouse at the best delivery location is obtained, and the data management terminal corrects the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location. The steps of obtaining the enterprise warehouse at the corrected delivery location are as follows:

[0095] S401. Based on the data management terminal, data is read and processed for the enterprise warehouse at the best delivery location to obtain inventory information of the enterprise warehouse at the best delivery location;

[0096] S402, the data management terminal performs feature extraction processing on the enterprise's real-time order information based on the shortest order delivery distance as a feature, and obtains the order quantity corresponding to the shortest order delivery distance;

[0097] S403. Based on the data management terminal, compare and judge the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location to obtain the enterprise warehouse at the corrected delivery location.

[0098] Reference Figure 7 As shown, based on the data management terminal, the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location are judged and processed, and the enterprise warehouse at the modified delivery location is obtained, which specifically includes the following steps:

[0099] S4031. Based on the data management terminal, determine the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location;

[0100] S4032. If the order quantity corresponding to the shortest order delivery distance is greater than the inventory information of the enterprise warehouse at the best delivery location, and the inventory information of the enterprise warehouse at the best delivery location cannot meet the order quantity corresponding to the shortest order delivery distance, the order delivery distance information is screened and processed to determine the secondary shortest order delivery distance, and the enterprise warehouse corresponding to the secondary shortest order delivery distance is set as the enterprise warehouse at the revised delivery location;

[0101] S4033. If the order quantity corresponding to the shortest order delivery distance is less than or equal to the inventory information of the enterprise warehouse at the best delivery location, the enterprise warehouse at the best delivery location is the enterprise warehouse at the revised delivery location;

[0102] In this embodiment, the inventory information of the corporate warehouse at the best delivery location is limited. When the order quantity corresponding to the shortest order delivery distance is greater than the inventory quantity of the corporate warehouse at the best delivery location, the inventory of the corporate warehouse at the best delivery location cannot meet the order quantity corresponding to the shortest order delivery distance. It is necessary to select the warehouse location again for the order quantity corresponding to the extra shortest order delivery distance. A corporate warehouse whose distance is only greater than the shortest order delivery distance is selected as the corporate warehouse at the corrected delivery location to deliver the products purchased by the user. The above selection method can reduce logistics costs.

[0103] Reference Figure 8 As shown, the data management terminal performs forecast analysis on the enterprise warehouse of the modified delivery location according to the order change amount, and determines the inventory replenishment information, which specifically includes the following steps:

[0104] S501, based on the data management terminal, judging and processing the order change amount and setting the order threshold;

[0105] S502: If the order change is greater than or equal to the set order threshold, the user's demand for the product corresponding to the enterprise's real-time order information is reduced, and there is no need to replenish the inventory of the enterprise warehouse at the revised delivery location;

[0106] S503: If the order change is less than the set order threshold, the user's demand for the product corresponding to the enterprise's real-time order information increases, and the inventory of the enterprise warehouse at the corrected delivery location is replenished;

[0107] In this embodiment, the user's demand for a certain product changes dynamically. The demand may be small last year, but it may be large next year. Therefore, the order change amount is obtained by comparing the company's historical order information and the company's real-time order information from the previous year. Finally, the order change amount is judged to determine whether the user's demand has changed, and whether to replenish the company's warehouse inventory is selected to avoid large accumulation of products in the company's warehouse.

[0108] Reference Fig. 9 As shown, a logistics decision system for enterprise sales and shipment based on a large model is used to implement the logistics decision method for enterprise sales and shipment based on a large model as described above, including:

[0109] Data management terminal, which is used to control each module to analyze and process the enterprise's real-time order information, enterprise's historical order information and enterprise's warehouse location information, determine the enterprise's warehouse and inventory replenishment information for the corrected delivery location, and realize data transmission and information interaction between each module;

[0110] An enterprise database, wherein the enterprise database is used to store enterprise-related data, including enterprise historical order information, order formulation standards, and enterprise warehouse location information;

[0111] An order platform, which is used by users to purchase products and generate real-time order information for enterprises;

[0112] A data extraction module, which is used to read data from the enterprise database and order platform, and obtain relevant data of the order platform, order formulation standards, enterprise historical order information and enterprise warehouse location information;

[0113] A data analysis module, which performs analysis and processing based on the relevant data of the order platform and the order formulation standards to obtain the order delivery address information. The data analysis module performs analysis and processing based on the enterprise warehouse location information and the order delivery address information to determine the enterprise warehouse with the best delivery location;

[0114] A data calculation module, which performs calculations based on the company's historical order information and the company's real-time order information to obtain order changes;

[0115] A comparison and judgment module, wherein the comparison and judgment module compares and judges the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location, and obtains the enterprise warehouse at the modified delivery location;

[0116] A forecasting and analysis module performs forecasting and analysis on the enterprise warehouse of the revised delivery location according to the order change amount to determine the inventory replenishment information.

[0117] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A logistics decision-making method for enterprise sales and delivery based on a large model, characterized in that: include: Obtain the real-time order information of the enterprise, analyze and process the real-time order information of the enterprise based on the data management terminal, and obtain the order delivery address information; Obtain the enterprise warehouse location information, and match and analyze the order delivery address information and the enterprise warehouse location information based on the data management terminal to determine the enterprise warehouse with the best delivery location; Obtain the company's historical order information, analyze and process the company's historical order information based on the data management terminal, and obtain the order change amount; The inventory information of the enterprise warehouse at the best delivery location is obtained, and the data management terminal corrects the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location to obtain the enterprise warehouse at the corrected delivery location; The data management terminal performs forecast analysis on the enterprise warehouse that modifies the delivery location based on the order change and determines the inventory replenishment information.

2. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 1, it is characterized in that: The step of obtaining the real-time order information of the enterprise, analyzing and processing the real-time order information of the enterprise based on the data management terminal, and obtaining the order delivery address information specifically includes the following steps: Based on the data management terminal, the order platform is read and processed to obtain relevant data of the order platform; Based on the data management terminal, the relevant data of the order platform is traversed and processed to obtain the real-time order information of the enterprise; Based on the data management terminal, feature extraction and processing are performed on the company's real-time order information to obtain the order delivery address information.

3. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 2, it is characterized in that: The data management terminal is used to perform data traversal processing on the relevant data of the order platform to obtain the real-time order information of the enterprise, which specifically includes the following steps: Based on the data management terminal, data retrieval and processing are performed on the enterprise database to obtain order formulation standards; Based on the data management terminal, the order formulation standards are analyzed and processed to obtain order feature information; The data management terminal performs data screening and processing on the relevant data of the order platform according to the order characteristic information to obtain the real-time order information of the order platform.

4. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 1, it is characterized in that: The step of obtaining the enterprise warehouse location information, matching and analyzing the order delivery address information and the enterprise warehouse location information based on the data management terminal, and determining the enterprise warehouse at the best delivery location specifically includes the following steps: Based on the data management terminal, data retrieval and processing are performed on the enterprise database to obtain the enterprise warehouse location information; Based on the data management terminal, the enterprise warehouse location information and order delivery address information are calculated and processed to obtain the order delivery distance information; Based on the data management terminal, the order delivery distance information is sorted and processed to determine the shortest order delivery distance; The data management terminal screens and processes the enterprise warehouse location information based on the shortest order delivery distance to determine the enterprise warehouse with the best delivery location.

5. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 4, it is characterized in that: The specific calculation formula for determining the shortest order delivery distance is: In the formula, The shortest order delivery distance; is the order delivery distance information; n is the specific number of order delivery distance information; min() is the minimum function.

6. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 1, it is characterized in that: The acquisition of the historical order information of the enterprise, based on the data management terminal, analyzes and processes the historical order information of the enterprise, and the acquisition of the order change specifically includes the following steps: Based on the data management terminal, perform data retrieval processing on the enterprise database to obtain the enterprise's historical order information; The data management terminal extracts and processes the enterprise's historical order information based on the previous year of the enterprise's real-time order information, and obtains the enterprise's historical order information for the previous year; The data management terminal uses the order delivery address information as a feature to perform feature extraction processing on the company's historical order information and real-time order information of the previous year, and obtains the number of historical orders and real-time orders of the same address in the previous year; Based on the data management terminal, the difference between the historical order quantity and the real-time order quantity of the same address in the previous year is calculated to obtain the order change.

7. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 1, it is characterized in that: The step of obtaining the inventory information of the enterprise warehouse at the best delivery location, wherein the data management terminal corrects the enterprise warehouse at the best delivery location based on the inventory information of the enterprise warehouse at the best delivery location, and obtaining the corrected enterprise warehouse at the delivery location specifically includes the following steps: Based on the data management terminal, data is read and processed for the enterprise warehouse at the best delivery location to obtain the inventory information of the enterprise warehouse at the best delivery location; The data management terminal extracts the feature of the enterprise's real-time order information based on the shortest order delivery distance, and obtains the order quantity corresponding to the shortest order delivery distance; Based on the data management terminal, the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location are compared and judged to obtain the enterprise warehouse at the corrected delivery location.

8. The logistics decision-making method for enterprise sales and delivery based on a large model according to claim 7 is characterized in that: The data management terminal is used to determine and process the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location, and obtain the enterprise warehouse at the corrected delivery location, specifically including the following steps: Based on the data management terminal, the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location are determined; If the order quantity corresponding to the shortest order delivery distance is greater than the inventory information of the enterprise warehouse at the best delivery location, and the inventory information of the enterprise warehouse at the best delivery location cannot meet the order quantity corresponding to the shortest order delivery distance, the order delivery distance information is screened and processed to determine the secondary shortest order delivery distance, and the enterprise warehouse corresponding to the secondary shortest order delivery distance is set as the enterprise warehouse at the corrected delivery location; If the order quantity corresponding to the shortest order delivery distance is less than or equal to the inventory information of the enterprise warehouse at the best delivery location, the enterprise warehouse at the best delivery location will be the enterprise warehouse at the revised delivery location.

9. According to the large model-based logistics decision-making method for enterprise sales and delivery according to claim 1, it is characterized in that: The data management terminal performs forecasting and analysis on the enterprise warehouse of the modified delivery location according to the order change amount, and determines the inventory replenishment information, which specifically includes the following steps: Based on the data management terminal, the order change amount and the set order threshold are judged and processed; If the order change is greater than or equal to the set order threshold, the user's demand for the product corresponding to the enterprise's real-time order information decreases, and there is no need to replenish the inventory of the enterprise warehouse at the revised delivery location; If the order change is less than the set order threshold, the user's demand for the product corresponding to the company's real-time order information increases, and the inventory of the company's warehouse at the corrected delivery location is replenished.

10. A logistics decision system for enterprise sales and shipment based on a big model, used to implement a logistics decision method for enterprise sales and shipment based on a big model as described in any one of claims 1 to 9, characterized in that: include: Data management terminal, which is used to control each module to analyze and process the enterprise's real-time order information, enterprise's historical order information and enterprise's warehouse location information, determine the enterprise's warehouse and inventory replenishment information for the corrected delivery location, and realize data transmission and information interaction between each module; An enterprise database, wherein the enterprise database is used to store enterprise-related data, including enterprise historical order information, order formulation standards, and enterprise warehouse location information; An order platform, which is used by users to purchase products and generate real-time order information for enterprises; A data extraction module, which is used to read data from the enterprise database and order platform, and obtain relevant data of the order platform, order formulation standards, enterprise historical order information and enterprise warehouse location information; A data analysis module, which performs analysis and processing based on the relevant data of the order platform and the order formulation standards to obtain the order delivery address information. The data analysis module performs analysis and processing based on the enterprise warehouse location information and the order delivery address information to determine the enterprise warehouse with the best delivery location; A data calculation module, which performs calculations based on the company's historical order information and the company's real-time order information to obtain order changes; A comparison and judgment module, wherein the comparison and judgment module compares and judges the order quantity corresponding to the shortest order delivery distance and the inventory information of the enterprise warehouse at the best delivery location, and obtains the enterprise warehouse at the modified delivery location; A forecasting and analysis module performs forecasting and analysis on the enterprise warehouse of the revised delivery location according to the order change amount to determine the inventory replenishment information.

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