A method and system for updating and managing the inventory of goods for e-commerce enterprises

Abstract

The present invention provides a method for updating and managing the inventory of goods for e-commerce enterprises, belonging to the technical field of inventory management. Specifically, it includes: based on the matching situation of the inventory data of different associated warehouses with the inventory data of the policy optimization warehouse and the composition data of the policy optimization warehouse in the associated warehouses, when it is determined that the inventory update process of the policy optimization warehouse does not need to adopt the preset update method, based on the sales data of the goods in the policy optimization warehouse on different matching e-commerce platforms, determine the goods with frequently changing inventory among the goods, determine the regional associated warehouses of the target delivery areas based on the distances from different target delivery areas, and based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target delivery areas, determine the inventory update processing method for the goods with frequently changing inventory, thereby improving the timeliness of the inventory data update process.

Description

Technical Field

[0001] The present invention belongs to the technical field of inventory management, and particularly relates to a method and system for updating and managing the inventory of commodities for e-commerce enterprises. Background Art

[0002] E-commerce enterprises often establish multiple warehouses to meet the needs of users in different regions. However, at the same time, how to realize the inventory update management of different warehouses and avoid the problem that the delivery timeliness of users fails to meet the requirements due to untimely inventory update has become a technical problem to be solved urgently.

[0003] To solve the above technical problems, in the invention patent application CN201811083414.X "A Management System for Enterprise Sales Orders", the remaining quantity statistical unit and the inventory update module are used in cooperation to update the warehouse storage quantity, which has the technical advantages of simple composition, high practicability and convenient use.

[0004] However, when determining the inventory update strategy in the above technical solution, the analysis result of the inventory data of the adjacent warehouses of the warehouse is ignored to generate a differentiated inventory update method. Specifically, even if the inventory quantity of the warehouse does not meet the order requirements of the e-commerce platform, the adjacent warehouses can still be used for delivery processing, so that the shopping timeliness of users can meet the requirements. Therefore, if the warehouse data of the adjacent warehouses is not combined, it is impossible to ensure the shopping timeliness of users on the basis of reducing the difficulty of inventory update processing of the warehouse.

[0005] In view of the above technical problems, the present invention provides a method and system for updating and managing the inventory of commodities for e-commerce enterprises. Summary of the Invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] Specifically, in the first aspect, the present application provides a method for updating and managing the inventory of commodities for e-commerce enterprises, which specifically includes:

[0008] S1 Using the e-commerce platform data corresponding to the warehouse of the e-commerce enterprise, determine the matching e-commerce platform of the warehouse, and determine whether the warehouse is a strategy optimization warehouse according to the shelf data and sales data of the inventory commodities in the warehouse in different matching e-commerce platforms;

[0009] S2 According to the target delivery area of the strategy optimization warehouse, determine the associated warehouses in the strategy optimization warehouse, and when the matching situation of the inventory data of different associated warehouses and the strategy optimization warehouse is determined, and combined with the composition data of the strategy optimization warehouse in the associated warehouses, when it is determined that the inventory update processing of the strategy optimization warehouse does not need to adopt the preset update method, proceed to the next step;

[0010] Based on the sales data of the goods in the warehouse optimized by the strategy in different matching e-commerce platforms, S3 determines the goods with frequently changing inventory among the goods.

[0011] S4 determines the regional associated warehouses of the target shipping regions based on the distances to different target shipping regions. Based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target shipping regions, S4 determines the inventory update processing method for the goods with frequently changing inventory.

[0012] The beneficial effects of the present invention are as follows:

[0013] Based on the matching situation of the inventory data of different associated warehouses with the inventory data of the strategy-optimized warehouse and the composition data of the strategy-optimized warehouse in the associated warehouses, it is determined whether it is necessary to adopt a preset update method for the inventory update processing of the strategy-optimized warehouse, fully considering the differences in the timeliness of inventory quantity updates caused by whether the associated warehouses belong to the strategy-optimized warehouse, and determining the method of inventory update processing for the strategy-optimized warehouse in a targeted manner, ensuring the shipping timeliness of the associated warehouses and the strategy-optimized warehouse as well as the credibility of the inventory data, and reducing the risk of delays in the shipping timeliness of users.

[0014] Based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target shipping regions, the inventory update processing method for the goods with frequently changing inventory is determined. This not only considers the differences in the probabilities of user delay risks caused by the differences in the sales data of the regional associated warehouses in different target shipping regions, resulting in untimely inventory data updates for the goods with frequently changing inventory, but also further considers the inventory data, thus ensuring the shipping timeliness of all target shipping regions and the timeliness of the inventory data of the goods with frequently changing inventory.

[0015] A further technical solution is that the matching e-commerce platform of the warehouse is the e-commerce platform where the inventory goods in the warehouse are listed.

[0016] A further technical solution is that the listing data of the inventory goods in the warehouse in the matching e-commerce platform includes the listing quantity of the inventory goods in the warehouse in the matching e-commerce platform.

[0017] A further technical solution is that the method for determining the strategy-optimized warehouse in the warehouse is as follows:

[0018] Based on the listing data of the inventory goods in the warehouse in the matching e-commerce platform, the listed inventory goods in the warehouse in the matching e-commerce platform are determined. Based on the proportion of the quantity of the listed inventory goods in the inventory goods in the warehouse, the commodity matching coefficient of the matching e-commerce platform is determined.

[0019] Determine the screening and matching platform in the matching e-commerce platform based on the commodity matching coefficient;

[0020] Determine whether the warehouse is a strategy optimization warehouse according to the total sales volume of the listed inventory commodities on different screening and matching platforms.

[0021] A further technical solution is that the screening and matching platform is a matching e-commerce platform with a commodity matching coefficient greater than a preset matching coefficient.

[0022] A further technical solution is that when the total sales volume of the listed inventory commodities on different screening and matching platforms is greater than a preset sales volume threshold, it is determined that the warehouse is a strategy optimization warehouse.

[0023] A further technical solution is that when the warehouse does not belong to the strategy optimization warehouse, the inventory commodities in the warehouse are inventoried using a preset time period.

[0024] A further technical solution is that the method for determining the inventory update processing method of the commodities with frequent inventory changes is as follows:

[0025] Based on the sales data and inventory data of the regional associated warehouses in different target delivery regions, determine the sales volume and inventory quantity of the regional associated warehouses in different target delivery regions;

[0026] Determine the inventory-sales matching coefficient of the different regional associated warehouses in the target delivery region based on the ratio of the inventory to the sales volume;

[0027] Determine the matching deviation regions in the target delivery region according to the inventory-sales matching coefficients of different regional associated warehouses, and determine the inventory update processing method of the commodities with frequent inventory changes according to the number of the matching deviation regions.

[0028] A further technical solution is that the matching deviation region is a target delivery region where the inventory-sales matching coefficients of different regional associated warehouses are all less than a preset sales matching coefficient threshold.

[0029] A further technical solution is that according to the number of the matching deviation regions, determine the inventory update processing method of the commodities with frequent inventory changes, specifically including:

[0030] When the number of the matching deviation regions is greater than a preset deviation region number threshold, conduct an inventory check of the commodities with frequent inventory changes using a second preset time period;

[0031] When the number of the matching deviation regions is not greater than a preset deviation region number threshold, when the sales volume of the commodities with frequent inventory changes is greater than a preset sales volume threshold, conduct an inventory check of the commodities with frequent inventory changes.

[0032] A further technical solution lies in that the duration of the second preset time period is less than that of the preset time period.

[0033] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned method for managing the inventory update of commodities for e-commerce enterprises.

[0034] Other features and advantages will be described in the following specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0035] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Description of the Drawings

[0036] By referring to the drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0037] Figure 1 is a flowchart of a method for managing the inventory update of commodities for e-commerce enterprises;

[0038] Figure 2 is a flowchart of a method for determining the optimization of the strategy in the warehouse;

[0039] Figure 3 is a flowchart of determining that the inventory update process of the strategy optimization warehouse does not need to adopt the preset update method;

[0040] Figure 4 is a flowchart of a method for determining frequently changing commodities in the inventory;

[0041] Figure 5 is a flowchart of a method for determining the inventory update process of frequently changing commodities in the inventory. Detailed Embodiments

[0042] To enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0043] In this application, the inventory data of associated warehouses within a preset distance from the warehouse is fully considered, and then an inventory update processing strategy for the inventory goods in the warehouse is generated. This not only reduces the difficulty of inventory update processing for inventory goods but also ensures the timeliness of the update processing of inventory goods, reducing the occurrence of shipping delays caused by commodity shortages for users.

[0044] Embodiment 1

[0045] As Figure 1 shown, this application provides a method for managing the inventory update of goods for e-commerce enterprises, specifically including:

[0046] S1 Based on the e-commerce platform data corresponding to the warehouse of the e-commerce enterprise, determine the matching e-commerce platform of the warehouse. According to the listing data and sales data of the inventory goods in the warehouses in different matching e-commerce platforms, determine whether the warehouse is a strategy optimization warehouse;

[0047] Based on the proportion of the quantity of the listed inventory goods in the warehouse in the inventory goods in the warehouse, determine the commodity matching coefficient of the matching e-commerce platform. When the total sales volume of the matching e-commerce platforms with a commodity matching coefficient greater than the preset matching coefficient is greater than the preset sales volume threshold, then determine that the warehouse is a strategy optimization warehouse.

[0048] S2 According to the target shipping areas of the strategy optimization warehouse, determine the associated warehouses in the strategy optimization warehouse. Based on the matching situation of the inventory data of different associated warehouses with the strategy optimization warehouse, and combined with the composition data of the strategy optimization warehouse in the associated warehouses, when it is determined that the inventory update processing of the strategy optimization warehouse does not need to adopt the preset update method, proceed to the next step;

[0049] Regarding the associated warehouses with the proportion of the quantity of the same inventory goods between the associated warehouse and the strategy optimization warehouse in the strategy optimization warehouse being greater than 0.7 as commodity associated warehouses, and removing the strategy optimization warehouse from the commodity associated warehouses as update delay warehouses. When the number of update delay warehouses is more than 3, then determine that the strategy optimization warehouse needs to adopt the preset update method for inventory update processing.

[0050] S3 Based on the sales data of the goods in the strategy optimization warehouse in different matching e-commerce platforms, determine the inventory frequently changing goods among the goods;

[0051] Regarding the goods with an average daily total sales volume greater than 100 in different matching e-commerce platforms as inventory frequently changing goods.

[0052] S4 determines the regional associated warehouse of the target delivery area based on the distances to different target delivery areas, and determines the inventory update processing method for the goods with frequently changing inventory based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target delivery areas.

[0053] Determine the inventory-sales matching coefficients of different regional associated warehouses in the target delivery area based on the ratios of the inventory to the sales volume of different regional associated warehouses.

[0054] Regard the target delivery areas where the inventory-sales matching coefficients of different regional associated warehouses are all less than 0.1 as the matching deviation areas. When the number of matching deviation areas is more than 10, then conduct an inventory check using the second preset time period. When the number of matching deviation areas is no more than 10, then conduct an inventory check using the preset time period.

[0055] Furthermore, the e-commerce platforms matched with the warehouse are the e-commerce platforms where the inventory goods in the warehouse are listed.

[0056] Specifically, the listing data of the inventory goods in the warehouse in the matched e-commerce platforms includes the listing quantity of the inventory goods in the warehouse in the matched e-commerce platforms.

[0057] Specifically, as Figure 2 shown, the method for determining the strategy optimization warehouse in the warehouse is as follows:

[0058] Determine the listed inventory goods in the warehouse in the matched e-commerce platforms based on the listing data of the inventory goods in the warehouse in the matched e-commerce platforms, and determine the commodity matching coefficient of the matched e-commerce platforms based on the proportion of the quantity of the listed inventory goods in the total quantity of the inventory goods in the warehouse.

[0059] Determine the selected matching platforms in the matched e-commerce platforms based on the commodity matching coefficient.

[0060] Determine whether the warehouse is a strategy optimization warehouse according to the total sales volume of the listed inventory goods of different selected matching platforms.

[0061] Furthermore, the selected matching platforms are the matched e-commerce platforms with commodity matching coefficients greater than the preset matching coefficient.

[0062] It can be understood that when the total sales volume of the listed inventory goods of different selected matching platforms is greater than the preset sales volume threshold, then determine that the warehouse is a strategy optimization warehouse.

[0063] It should be noted that when the warehouse does not belong to the strategy optimization warehouse, then conduct an inventory check of the inventory goods in the warehouse using the preset time period.

[0064] In another possible embodiment, the method for determining the policy-optimized warehouse in the warehouse is as follows:

[0065] Based on the shelving data of the inventory items in the warehouse of the matching e-commerce platform, determine the shelved inventory items in the warehouse of the matching e-commerce platform, and based on the proportion of the quantity of the shelved inventory items in the inventory items in the warehouse, determine the product matching coefficient of the matching e-commerce platform;

[0066] Obtain the sales volume of the shelved inventory items of different matching e-commerce platforms, and determine the associated product sales volume of different matching e-commerce platforms by multiplying the product matching coefficient of different matching e-commerce platforms by the sales volume of the shelved inventory items;

[0067] Determine whether the warehouse is a policy-optimized warehouse according to the sum of the associated product sales volumes of different matching e-commerce platforms.

[0068] Further, when the sum of the associated product sales volumes of different matching e-commerce platforms is greater than the preset associated product sales volume threshold, it is determined that the warehouse is a policy-optimized warehouse.

[0069] Optionally, the method for determining the policy-optimized warehouse in the warehouse is as follows:

[0070] Obtain the number of matching e-commerce platforms of the warehouse. When the number of matching e-commerce platforms is greater than the preset matching platform number threshold, it is determined that the warehouse is a policy-optimized warehouse;

[0071] When the number of matching e-commerce platforms is not greater than the preset matching platform number threshold:

[0072] Based on the shelving data of the inventory items in the warehouse of the matching e-commerce platform, determine the shelved inventory items in the warehouse of the matching e-commerce platform, and based on the proportion of the quantity of the shelved inventory items in the inventory items in the warehouse, determine the product matching coefficient of the matching e-commerce platform. When the number of matching e-commerce platforms with a product matching coefficient greater than the preset matching coefficient threshold does not meet the requirements, it is determined that the warehouse is a policy-optimized warehouse;

[0073] When the number of matching e-commerce platforms with a product matching coefficient greater than the preset matching coefficient threshold meets the requirements:

[0074] Obtain the sales volume of the shelved inventory items of different matching e-commerce platforms, and determine the associated product sales volume of different matching e-commerce platforms by multiplying the product matching coefficient of different matching e-commerce platforms by the sales volume of the shelved inventory items. When the sum of the associated product sales volumes of different matching e-commerce platforms is greater than the preset associated product sales volume threshold, it is determined that the warehouse is a policy-optimized warehouse;

[0075] When the sum of the sales volumes of associated products that match different e-commerce platforms is not greater than a preset threshold for the sales volume of associated products:

[0076] Based on the listing data and sales data of different in-stock products in the warehouse on different matching e-commerce platforms, determine the product update demand coefficients of different in-stock products. When the product update demand coefficients of different in-stock products are all less than a preset update demand coefficient threshold, it is determined that the warehouse does not belong to a warehouse for strategy optimization;

[0077] When there are in-stock products with a product update demand coefficient greater than the preset update demand coefficient threshold:

[0078] When the quantity of in-stock products with a product update demand coefficient greater than the preset update demand coefficient threshold does not meet the requirements, it is determined that the warehouse is a warehouse for strategy optimization;

[0079] When the quantity of in-stock products with a product update demand coefficient greater than the preset update demand coefficient threshold meets the requirements:

[0080] Based on the product update demand coefficients of different in-stock products, determine the update demand value of the in-stock products in the warehouse, and use the update demand value to determine whether the warehouse is a warehouse for strategy optimization.

[0081] It should be noted that when the update demand value of the warehouse is greater than the preset update demand threshold, it is determined that the warehouse is a warehouse for strategy optimization.

[0082] Furthermore, the associated warehouses in the warehouse for strategy optimization are warehouses whose distances from the target delivery areas of the warehouse for strategy optimization are all within a preset distance range.

[0083] It can be understood that the matching situation of the inventory data between the associated warehouse and the warehouse for strategy optimization includes the quantity of the same in-stock products between the associated warehouse and the warehouse for strategy optimization.

[0084] Specifically, as Figure 3 shown, determining that it is not necessary to adopt a preset update method for inventory update processing of the warehouse for strategy optimization specifically includes:

[0085] Based on the matching situation of the inventory data between the associated warehouse and the warehouse for strategy optimization, determine the quantity of the same in-stock products between the associated warehouse and the warehouse for strategy optimization, and based on the quantity of the same in-stock products, determine the product associated warehouse in the associated warehouse;

[0086] According to the composition data of the warehouse for strategy optimization in the product associated warehouse, determine the quantity removed from the warehouse for strategy optimization in the product associated warehouse and use it as the update delay warehouse;

[0087] Based on the quantity of the updated delay warehouses, determine whether the policy optimization warehouse needs to perform inventory update processing using a preset update method.

[0088] Further, when the quantity of the updated delay warehouses is greater than the preset delay warehouse quantity threshold, it is determined that the policy optimization warehouse needs to perform inventory update processing using a preset update method.

[0089] In addition, it should be noted that when it is necessary to perform inventory update processing using a preset update method, the inventory of the goods in the warehouse is inventoried using a second preset time period.

[0090] Optionally, determining that it is not necessary to perform inventory update processing on the policy optimization warehouse using a preset update method specifically includes:

[0091] Based on the matching situation of the inventory data between the associated warehouse and the policy optimization warehouse, determine the quantity of the same inventory goods between the associated warehouse and the policy optimization warehouse, and based on the proportion of the quantity of the same inventory goods in the policy optimization warehouse, determine the inventory matching coefficient between the associated warehouse and the policy optimization warehouse;

[0092] Take the associated warehouses excluding the policy optimization warehouse as updated delay warehouses;

[0093] Based on the inventory matching coefficients of different updated delay warehouses, determine whether the policy optimization warehouse needs to perform inventory update processing using a preset update method.

[0094] Further, when the sum of the inventory matching coefficients of different updated delay warehouses is greater than the preset inventory matching coefficient threshold, it is determined that the policy optimization warehouse needs to perform inventory update processing using a preset update method.

[0095] Optionally, determining that it is not necessary to perform inventory update processing on the policy optimization warehouse using a preset update method specifically includes:

[0096] Obtain the quantity of the associated warehouses of the policy optimization warehouse. When the quantity of the associated warehouses of the policy optimization warehouse is greater than the preset associated warehouse quantity threshold, it is determined that it is necessary to perform inventory update processing on the policy optimization warehouse using a preset update method;

[0097] When the quantity of the associated warehouses of the policy optimization warehouse is not greater than the preset associated warehouse quantity threshold:

[0098] Based on the matching situation of the inventory data between the associated warehouse and the policy optimization warehouse, determine the quantity of the same inventory items in the associated warehouse and the policy optimization warehouse, and determine the inventory matching coefficient between the associated warehouse and the policy optimization warehouse based on the proportion of the quantity of the same inventory items in the policy optimization warehouse. When the inventory matching coefficients of different associated warehouses and the policy optimization warehouse are all less than the preset inventory matching coefficient threshold, it is determined that there is no need to use the preset update method for inventory update processing of the policy optimization warehouse;

[0099] When there is an associated warehouse with an inventory matching coefficient not less than the preset inventory matching coefficient threshold:

[0100] Obtain the quantity of associated warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold. When the quantity of associated warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold does not meet the requirements, it is determined that it is necessary to use the preset update method for inventory update processing of the policy optimization warehouse;

[0101] When the quantity of associated warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold meets the requirements: Use the associated warehouses excluding the policy optimization warehouse as the update delay warehouses. When the quantity of update delay warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold does not meet the requirements, it is determined that it is necessary to use the preset update method for inventory update processing of the policy optimization warehouse;

[0102] When the quantity of update delay warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold meets the requirements:

[0103] Based on the inventory matching coefficients of different associated warehouses, the sales volume of the same inventory items, and the proportion of the quantity of the policy optimization warehouse, determine the inventory transfer processing demand value of the policy optimization warehouse, and use the inventory transfer processing demand value to determine whether the policy optimization warehouse needs to use the preset update method for inventory update processing.

[0104] Furthermore, when the inventory transfer processing demand value is greater than the preset inventory transfer processing demand threshold, it is determined that the policy optimization warehouse needs to use the preset update method for inventory update processing.

[0105] Specifically, as Figure 4 shown, the method for determining the inventory frequently changing items in the commodity is:

[0106] Based on the sales data of the commodities in the policy optimization warehouse on different matching e-commerce platforms, determine the sales volume of the commodities on different matching e-commerce platforms;

[0107] Based on the sales volumes on different e-commerce platforms that match, determine the e-commerce platforms that match and have a sales volume greater than the preset sales volume threshold, and use them as the sales volume matching platforms;

[0108] Determine whether the commodity is a commodity with frequently changing inventory according to the number of the sales volume matching platforms.

[0109] Furthermore, when the number of the sales volume matching platforms is greater than the preset platform number threshold, determine that the commodity is a commodity with frequently changing inventory.

[0110] It can be understood that the regional associated warehouse of the target delivery area is a warehouse whose distance from the target delivery area is less than the preset distance threshold.

[0111] Specifically, as Figure 5 shown, the method for determining the inventory update processing method of the commodity with frequently changing inventory is:

[0112] Based on the sales data and inventory data of the regional associated warehouses in different target delivery areas, determine the sales volume and inventory quantity of the regional associated warehouses in different target delivery areas;

[0113] Use the ratio of the inventory to the sales volume to determine the inventory-sales matching coefficient of different regional associated warehouses in the target delivery area;

[0114] According to the inventory-sales matching coefficients of different regional associated warehouses, determine the matching deviation areas in the target delivery area, and determine the inventory update processing method of the commodity with frequently changing inventory according to the number of the matching deviation areas.

[0115] Furthermore, the matching deviation area is a target delivery area where the inventory-sales matching coefficients of different regional associated warehouses are all less than the preset sales matching coefficient threshold.

[0116] It should be noted that determining the inventory update processing method of the commodity with frequently changing inventory according to the number of the matching deviation areas specifically includes:

[0117] When the number of the matching deviation areas is greater than the preset deviation area number threshold, conduct an inventory check processing of the commodity with frequently changing inventory using the second preset time period;

[0118] When the number of the matching deviation areas is not greater than the preset deviation area number threshold, when the sales volume of the commodity with frequently changing inventory is greater than the preset sales volume threshold, conduct an inventory check processing of the commodity with frequently changing inventory.

[0119] It can be understood that the duration of the second preset time period is less than the preset time period.

[0120] In another possible embodiment, the method for determining the inventory update processing method for the goods with frequently changing inventory is as follows:

[0121] S41 Determine the sales volume and inventory quantity of the region-associated warehouses in different target shipping regions based on the sales data and inventory data of the region-associated warehouses in different target shipping regions;

[0122] S42 Determine the inventory-sales matching coefficients of the different region-associated warehouses in the target shipping regions based on the ratio of the inventory to the sales volume, and determine the warehouse matching coefficients of the different target shipping regions based on the inventory-sales matching coefficients of the region-associated warehouses in different target shipping regions;

[0123] S43 Determine the inventory shortage impact value of the goods with frequently changing inventory based on the warehouse matching coefficients of the different target shipping regions, and determine the inventory update processing method for the goods with frequently changing inventory based on the inventory shortage impact value.

[0124] Optionally, determining the inventory update processing method for the goods with frequently changing inventory based on the inventory shortage impact value specifically includes:

[0125] When the inventory shortage impact value is greater than the preset shortage impact value threshold, conduct an inventory count process for the goods with frequently changing inventory using a second preset time period;

[0126] When the inventory shortage impact value is not greater than the preset shortage impact value threshold, and when the sales volume of the goods with frequently changing inventory is greater than the preset sales volume threshold, conduct an inventory count process for the goods with frequently changing inventory.

[0127] Embodiment 2

[0128] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes the above-mentioned method for managing the inventory update of goods for an e-commerce enterprise.

[0129] Optionally, the following content is included in the above step S41:

[0130] S411 Obtain the number of target shipping regions without region-associated warehouses. When the number of target shipping regions without region-associated warehouses does not meet the requirements, conduct an inventory count process for the goods with frequently changing inventory using a second preset time period. When the number of target shipping regions without region-associated warehouses meets the requirements, proceed to step S412;

[0131] S412 determines the sales volume and inventory level of the regional associated warehouses in different target delivery areas based on the sales data and inventory data of the regional associated warehouses in different target delivery areas. When there is a target delivery area where the inventory levels of all regional associated warehouses are less than the preset inventory threshold, it proceeds to step S413. When there is no target delivery area where the inventory levels of all regional associated warehouses are less than the preset inventory threshold, it proceeds to step S42;

[0132] S413 When the sum of the number of target delivery areas where the inventory levels of all regional associated warehouses are less than the preset inventory threshold and the number of target delivery areas without regional associated warehouses does not meet the requirements, the inventory of the frequently changing inventory items is inventoried using the second preset time period. When the sum of the number of target delivery areas where the inventory levels of all regional associated warehouses are less than the preset inventory threshold and the number of target delivery areas without regional associated warehouses meets the requirements, it proceeds to step S42.

[0133] Optionally, the above step S42 includes the following content:

[0134] S421 determines the inventory-sales matching coefficients of the different regional associated warehouses in the target delivery area based on the ratio of the inventory to the sales volume. When there is a target delivery area where the sum of the inventory-sales matching coefficients of different regional associated warehouses does not meet the requirements, it proceeds to step S422. When there is no target delivery area where the sum of the inventory-sales matching coefficients of different regional associated warehouses does not meet the requirements, it proceeds to step S423;

[0135] S422 When the number of target delivery areas where the sum of the inventory-sales matching coefficients of different regional associated warehouses does not meet the requirements is greater than the preset target area quantity threshold, the inventory of the frequently changing inventory items is inventoried using the second preset time period. When the number of target delivery areas where the sum of the inventory-sales matching coefficients of different regional associated warehouses does not meet the requirements is not greater than the preset target area quantity threshold, it proceeds to step S423;

[0136] S423 determines the warehouse matching coefficients of different target delivery areas based on the inventory-sales matching coefficients of the regional associated warehouses in different target delivery areas. When the average value of the warehouse matching coefficients of different target delivery areas does not meet the requirements, the inventory of the frequently changing inventory items is inventoried using the second preset time period. When the average value of the warehouse matching coefficients of different target delivery areas does not meet the requirements, it proceeds to step S424;

[0137] S424 obtains the number of target delivery regions where the warehouse matching coefficient is within the preset inventory matching coefficient range. When the number of target delivery regions where the warehouse matching coefficient is within the preset inventory matching coefficient range does not meet the requirements, the inventory of the frequently changing commodities is inventoried using the second preset time period. When the number of target delivery regions where the warehouse matching coefficient is within the preset inventory matching coefficient range meets the requirements, proceed to step S43.

[0138] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0139] The specific embodiments of this specification are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0140] The above description is only for one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, there can be various modifications and changes to one or more embodiments of this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for updating and managing the inventory of goods for e-commerce enterprises, characterized in that, Specifically, it includes: Based on the e-commerce platform data corresponding to the warehouse of the e-commerce enterprise, determine the matching e-commerce platform of the warehouse, and determine whether the warehouse is a warehouse for strategy optimization according to the shelf data and sales data of the inventory goods in the warehouse of different matching e-commerce platforms; According to the target delivery area of the warehouse for strategy optimization, determine the associated warehouses in the warehouse for strategy optimization. When the matching situation of the inventory data of different associated warehouses with the warehouse for strategy optimization, and combined with the composition data of the warehouse for strategy optimization in the associated warehouses, determine that it is not necessary to adopt the preset update method for the inventory update processing of the warehouse for strategy optimization, then enter the next step; Based on the sales data of the goods in the warehouse for strategy optimization on different matching e-commerce platforms, determine the goods with frequently changing inventory in the goods; Determine the regional associated warehouses of the target delivery areas according to the distances from different target delivery areas. Based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target delivery areas, determine the inventory update processing method of the goods with frequently changing inventory; The method for determining the warehouse for strategy optimization in the warehouse is: Based on the shelf data of the inventory goods in the warehouse of the matching e-commerce platform, determine the shelf inventory goods in the warehouse of the matching e-commerce platform. Based on the proportion of the quantity of the shelf inventory goods in the inventory goods in the warehouse, determine the goods matching coefficient of the matching e-commerce platform; Based on the goods matching coefficient, determine the screening and matching platforms in the matching e-commerce platform; According to the total sales volume of the shelf inventory goods of different screening and matching platforms, determine whether the warehouse is a warehouse for strategy optimization; The matching situation of the inventory data of the associated warehouse and the warehouse for strategy optimization includes the quantity of the same inventory goods in the associated warehouse and the warehouse for strategy optimization; The composition data of the warehouse for strategy optimization in the goods associated warehouse includes the quantity removed from the warehouse for strategy optimization in the goods associated warehouse; The method for determining the inventory update processing method of the goods with frequently changing inventory is: Based on the sales data and inventory data in the regional associated warehouses of different target delivery areas, determine the sales volume and inventory quantity of the regional associated warehouses of different target delivery areas; Based on the ratio of the inventory to the sales volume, determine the inventory-sales matching coefficient of different regional associated warehouses in the target delivery area; According to the inventory-sales matching coefficients of different regional associated warehouses, determine the matching deviation areas in the target delivery area. When the number of the matching deviation areas is greater than the preset deviation area quantity threshold, then use the second preset time period to conduct the inventory checking process for the goods with frequently changing inventory; When the number of the matching deviation areas is not greater than the preset deviation area quantity threshold, then when the sales volume of the goods with frequently changing inventory is greater than the preset sales volume threshold, conduct the inventory checking process for the goods with frequently changing inventory.

2. The method for updating and managing the commodity inventory of an e-commerce enterprise according to claim 1, characterized in that, The matching e-commerce platform of the warehouse is the e-commerce platform where the inventory goods of the warehouse are shelved.

3. The method for updating and managing the commodity inventory for an e-commerce enterprise according to claim 1, wherein The shelf data of the inventory goods in the warehouse of the matching e-commerce platform includes the shelf quantity of the inventory goods in the warehouse of the matching e-commerce platform.

4. The method for updating and managing the inventory of goods for an e-commerce enterprise according to claim 1, wherein, The screening and matching platform is a matching e-commerce platform with a commodity matching coefficient greater than a preset matching coefficient.

5. The method for updating and managing the inventory of commodities for an e-commerce enterprise according to claim 1, characterized in that, When the warehouse does not belong to the policy optimization warehouse, the inventory of the warehouse is inventoried using a preset time period.

6. The method for updating and managing the inventory of goods for an e-commerce enterprise as described in claim 1, characterized in that The matching deviation area is the target delivery area where the inventory sales matching coefficients of the inventory of different regional associated warehouses are all less than the preset sales matching coefficient threshold.

7. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a method for managing the update of commodity inventory for an e-commerce enterprise according to any one of claims 1-6.

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