Commodity inventory updating management method and system for e-commerce enterprise

Abstract

The invention provides a commodity inventory updating management method for an e-commerce enterprise, and belongs to the technical field of inventory management, and the method specifically comprises the steps: obtaining the inventory data of a strategy optimization warehouse according to the matching conditions of different associated warehouses and the inventory data of the strategy optimization warehouse, and the composition data of the strategy optimization warehouse in the associated warehouses; when it is determined that inventory updating processing of the strategy optimization warehouse does not need to be carried out in a preset updating mode, on the basis of sales data of the commodities in the strategy optimization warehouse on different matched e-commerce platforms, determining the commodities with frequently changed inventory in the commodities; and determining the regional associated warehouses of the target delivery regions according to the distances between the target delivery regions and the different target delivery regions, and determining the inventory update processing method of the frequently-changed inventory commodities based on the sales data and inventory data of the frequently-changed inventory commodities in the regional associated warehouses of the different target delivery regions. And the timeliness of update processing of the inventory data is improved.

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 achieve 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 updates 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 results of the inventory data of the adjacent warehouses of the warehouse are 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 warehouse 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 warehouse is not combined, it is impossible to ensure the shopping timeliness of users on the basis of reducing the difficulty of the 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 object of the present invention, the present invention adopts the following technical solutions: 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: S1 Using the e-commerce platform data corresponding to the warehouse of the e-commerce enterprise to determine the matching e-commerce platform of the warehouse, and determining the strategy optimization warehouse in the warehouse according to the shelf data and sales data of the inventory commodities in the warehouses in different matching e-commerce platforms; S2 According to the target delivery area of the strategy optimization warehouse, determining 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 warehouse, and 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; Based on the sales data of the goods in the warehouse optimized by the strategy on different matching e-commerce platforms, S3 determines the goods with frequently changing inventory among the goods; S4 determines the regional associated warehouses of the target delivery regions based on the distances to different target delivery regions. Based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target delivery regions, S4 determines the inventory update processing method for the goods with frequently changing inventory.

[0007] The beneficial effects of the present invention are as follows: 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 warehouse, it is determined whether it is necessary to adopt a preset update method for inventory update processing of the strategy-optimized warehouse, fully considering the differences in the timeliness of inventory quantity updates caused by whether the associated warehouse belongs to the strategy-optimized warehouse, and determining the method of inventory update processing for the strategy-optimized warehouse in a targeted manner, ensuring the delivery timeliness of the associated warehouse and the strategy-optimized warehouse as well as the credibility of the inventory data, and reducing the risk of delays in the delivery timeliness of users.

[0008] Based on the sales data and inventory data of the goods with frequently changing inventory in the regional associated warehouses of different target delivery 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 sales data of regional associated warehouses in different target delivery regions, resulting in untimely updates of inventory data for the goods with frequently changing inventory, but also further considers the inventory data, thus ensuring the delivery timeliness of all target delivery regions and the timeliness of the inventory data of the goods with frequently changing inventory.

[0009] A further technical solution is that the matching e-commerce platform of the warehouse is the e-commerce platform on which the inventory goods in the warehouse are listed.

[0010] 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.

[0011] A further technical solution is that the method for determining the strategy-optimized warehouse in the warehouse is as follows: 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; Based on the commodity matching coefficient, the determination of the screening and matching platforms in the matching e-commerce platform is carried out; Determine whether the warehouse is a policy optimization warehouse according to the total sales volume of the listed inventory goods on different screening and matching platforms.

[0012] 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.

[0013] A further technical solution is that when the total sales volume of the listed inventory goods on different screening and matching platforms is greater than a preset sales volume threshold, it is determined that the warehouse is a policy optimization warehouse.

[0014] A further technical solution is that when the warehouse does not belong to the policy optimization warehouse, the inventory goods in the warehouse are inventoried using a preset time period.

[0015] A further technical solution is that the method for determining the inventory update processing method for goods with frequent inventory changes is as follows: Based on the sales data and inventory data of the region-associated warehouses in different target delivery regions, determine the sales volume and inventory quantity of the region-associated warehouses in different target delivery regions; Based on the ratio of the inventory to the sales volume, determine the inventory-sales matching coefficient of different region-associated warehouses in the target delivery region; According to the inventory-sales matching coefficients of different region-associated warehouses, determine the matching deviation regions in the target delivery region, and according to the number of the matching deviation regions, determine the inventory update processing method for the goods with frequent inventory changes.

[0016] A further technical solution is that the matching deviation region is a target delivery region where the inventory-sales matching coefficients of different region-associated warehouses are all less than a preset sales volume matching coefficient threshold.

[0017] A further technical solution is that according to the number of the matching deviation regions, determining the inventory update processing method for the goods with frequent inventory changes specifically includes: When the number of the matching deviation regions is greater than a preset deviation region number threshold, inventory the goods with frequent inventory changes using a second preset time period; When the number of the matching deviation regions is not greater than the preset deviation region number threshold, and when the sales volume of the goods with frequent inventory changes is greater than a preset sales volume threshold, inventory the goods with frequent inventory changes.

[0018] A further technical solution is that the duration of the second preset time period is less than the preset time period.

[0019] In a second aspect, the present invention provides 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 the above-mentioned method for updating and managing the inventory of commodities for an e-commerce enterprise.

[0020] 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 structure specifically pointed out in the specification and the accompanying drawings.

[0021] 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, provides a detailed description as follows. Description of the Drawings

[0022] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious; Figure 1 is a flowchart of a method for updating and managing the inventory of commodities for an e-commerce enterprise; Figure 2 is a flowchart of a method for determining a strategy-optimized warehouse in a warehouse; Figure 3 is a flowchart of determining that the inventory update process of the strategy-optimized warehouse does not need to adopt a preset update method; Figure 4 is a flowchart of a method for determining frequently inventory-changing commodities in commodities; Figure 5 is a flowchart of a method for determining a method for updating the inventory of frequently inventory-changing commodities; Detailed Embodiments

[0023] In order to enable those skilled in the art of the present technology 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 accompanying 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 making creative efforts shall fall within the scope of protection of this specification.

[0024] In this application, by fully considering the inventory data of associated warehouses within a preset distance of a warehouse, an inventory update processing strategy for the inventory commodities in the warehouse is generated, which not only reduces the difficulty of the inventory update processing of the inventory commodities, but also ensures the timeliness of the update processing of the inventory commodities, and reduces the occurrence of situations where users delay shipments due to commodity shortages.

[0025] Embodiment 1 is as Figure 1As shown in the figure, the present application provides a method for updating and managing the inventory of commodities for e-commerce enterprises, specifically including: 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 commodities in the warehouse in different matching e-commerce platforms, determine the policy optimization warehouse in the warehouse; Based on the proportion of the quantity of the listed inventory commodities in the warehouse in the matching e-commerce platform in the quantity of the inventory commodities 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 the commodity matching coefficient greater than the preset matching coefficient is greater than the preset sales volume threshold, then determine the warehouse as the policy optimization warehouse.

[0026] S2: According to the target delivery area of the policy optimization warehouse, determine the associated warehouses in the policy optimization warehouse. Based on the matching situation of the inventory data of different associated warehouses with the policy optimization warehouse, and combining 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, proceed to the next step; Take the associated warehouses with the proportion of the quantity of the same inventory commodities between the associated warehouses and the policy optimization warehouse in the quantity of the policy optimization warehouse greater than 0.7 as the commodity associated warehouses. Exclude the policy optimization warehouse from the commodity associated warehouses as the update delay warehouses. When the number of update delay warehouses is more than 3, then determine that the policy optimization warehouse needs to adopt the preset update method for inventory update processing.

[0027] S3: Based on the sales data of the commodities in the policy optimization warehouse in different matching e-commerce platforms, determine the inventory frequently changing commodities among the commodities; Take the commodities with the average daily total sales volume greater than 100 in different matching e-commerce platforms as the inventory frequently changing commodities.

[0028] S4: Determine the regional associated warehouses of the target delivery area based on the distance from different target delivery areas. Based on the sales data and inventory data of the inventory frequently changing commodities in the regional associated warehouses of different target delivery areas, determine the inventory update processing method of the inventory frequently changing commodities.

[0029] Based on the ratio of the inventory to the sales volume of different regional associated warehouses, determine the inventory-sales matching coefficient of different regional associated warehouses in the target delivery area, Take the target delivery areas with the inventory-sales matching coefficients of different regional associated warehouses all less than 0.1 as the matching deviation areas. When the number of matching deviation areas is more than 10, then conduct inventory checking processing using the second preset time period. When the number of matching deviation areas is not more than 10, then conduct inventory checking processing using the preset time period.

[0030] Further, the e-commerce platforms matched with the warehouse are the e-commerce platforms where the inventory goods in the warehouse are listed for sale.

[0031] Specifically, the listing data of the inventory goods in the warehouse in the matched e-commerce platforms includes the quantity of the inventory goods in the warehouse in the matched e-commerce platforms that are listed for sale.

[0032] Specifically, as Figure 2 shown, the method for determining the strategy-optimized warehouse in the warehouse is as follows: Based on the listing data of the inventory goods in the warehouse in the matched e-commerce platforms, determine the listed inventory goods in the warehouse in the matched e-commerce platforms. Based on the proportion of the quantity of the listed inventory goods in the inventory goods in the warehouse, determine the product matching coefficient of the matched e-commerce platforms; Based on the product matching coefficient, determine the screened and matched platforms in the matched e-commerce platforms; According to the total sales volume of the listed inventory goods on different screened and matched platforms, determine whether the warehouse is a strategy-optimized warehouse.

[0033] Further, the screened and matched platforms are the matched e-commerce platforms with a product matching coefficient greater than the preset matching coefficient.

[0034] It can be understood that when the total sales volume of the listed inventory goods on different screened and matched platforms is greater than the preset sales volume threshold, it is determined that the warehouse is a strategy-optimized warehouse.

[0035] It should be noted that when the warehouse does not belong to the strategy-optimized warehouse, the inventory goods in the warehouse are inventoried using a preset time period.

[0036] In another possible embodiment, the method for determining the strategy-optimized warehouse in the warehouse is as follows: Based on the listing data of the inventory goods in the warehouse in the matched e-commerce platforms, determine the listed inventory goods in the warehouse in the matched e-commerce platforms. Based on the proportion of the quantity of the listed inventory goods in the inventory goods in the warehouse, determine the product matching coefficient of the matched e-commerce platforms; Obtain the sales volume of the listed inventory goods on different matched e-commerce platforms. Multiply the product matching coefficient of different matched e-commerce platforms by the sales volume of the listed inventory goods to determine the associated product sales volume of different matched e-commerce platforms; According to the sum of the associated product sales volume of different matched e-commerce platforms, determine whether the warehouse is a strategy-optimized warehouse.

[0037] Further, when the sum of the associated product sales volume of different matched e-commerce platforms is greater than the preset associated product sales volume threshold, it is determined that the warehouse is a strategy-optimized warehouse.

[0038] Optionally, the method for determining a policy optimization warehouse in the warehouse is as follows: Obtain the number of e-commerce platforms matching the warehouse. When the number of matching e-commerce platforms is greater than a preset matching platform number threshold, determine the warehouse as a policy optimization warehouse; When the number of matching e-commerce platforms is not greater than the preset matching platform number threshold: Based on the shelf data of the inventory goods in the warehouse of the matching e-commerce platforms, determine the shelf inventory goods in the warehouse of the matching e-commerce platforms. Based on the proportion of the number of the shelf inventory goods in the inventory goods in the warehouse, determine the commodity matching coefficient of the matching e-commerce platforms. When the number of matching e-commerce platforms with a commodity matching coefficient greater than a preset matching coefficient threshold does not meet the requirements, determine the warehouse as a policy optimization warehouse; When the number of matching e-commerce platforms with a commodity matching coefficient greater than the preset matching coefficient threshold meets the requirements: Obtain the sales volume of the shelf inventory goods of different matching e-commerce platforms. Multiply the commodity matching coefficient of different matching e-commerce platforms by the sales volume of the shelf inventory goods to determine the associated commodity sales volume of different matching e-commerce platforms. When the sum of the associated commodity sales volumes of different matching e-commerce platforms is greater than a preset associated commodity sales volume threshold, determine the warehouse as a policy optimization warehouse; When the sum of the associated commodity sales volumes of different matching e-commerce platforms is not greater than the preset associated commodity sales volume threshold: Based on the shelf data and sales data of different inventory goods in the warehouse in different matching e-commerce platforms, determine the commodity update demand coefficient of different inventory goods. When the commodity update demand coefficients of different inventory goods are all less than a preset update demand coefficient threshold, determine that the warehouse does not belong to a policy optimization warehouse; When there are inventory goods with a commodity update demand coefficient greater than the preset update demand coefficient threshold: When the number of inventory goods with a commodity update demand coefficient greater than the preset update demand coefficient threshold does not meet the requirements, determine the warehouse as a policy optimization warehouse; When the number of inventory goods with a commodity update demand coefficient greater than the preset update demand coefficient threshold meets the requirements: Based on the commodity update demand coefficients of different inventory goods, determine the update demand value of the inventory goods in the warehouse, and use the update demand value to determine whether the warehouse is a policy optimization warehouse.

[0039] It should be noted that when the update demand value of the warehouse is greater than a preset update demand threshold, determine the warehouse as a policy optimization warehouse.

[0040] Further, the associated warehouses in the policy optimization warehouse are warehouses whose distances from the target delivery area of the policy optimization warehouse are all within a preset distance range.

[0041] It can be understood that the matching situation of the inventory data between the associated warehouse and the policy optimization warehouse includes the quantity of the same inventory goods in the associated warehouse and the policy optimization warehouse.

[0042] Specifically, as Figure 3 shown, determining that the inventory update process of the policy optimization warehouse does not need to adopt the preset update method specifically includes: 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 in the associated warehouse and the policy optimization warehouse, and based on the quantity of the same inventory goods, determine the commodity associated warehouse in the associated warehouse; According to the composition data of the policy optimization warehouse in the commodity associated warehouse, determine the quantity removed from the policy optimization warehouse in the commodity associated warehouse, and use it as the update delay warehouse; Based on the quantity of the update delay warehouse, determine whether the policy optimization warehouse needs to adopt the preset update method for inventory update processing.

[0043] Further, when the quantity of the update delay warehouse is greater than the preset delay warehouse quantity threshold, it is determined that the policy optimization warehouse needs to adopt the preset update method for inventory update processing.

[0044] In addition, it should be noted that when the preset update method needs to be adopted for inventory update processing, the inventory goods of the warehouse are inventoried using the second preset time period.

[0045] Optionally, determining that the inventory update process of the policy optimization warehouse does not need to adopt the preset update method specifically includes: 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 in 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; Use the associated warehouses excluding the policy optimization warehouse as the update delay warehouse; Based on the inventory matching coefficients of different update delay warehouses, determine whether the policy optimization warehouse needs to adopt the preset update method for inventory update processing.

[0046] Further, when the sum of the inventory matching coefficients of different update delay warehouses is greater than a preset inventory matching coefficient threshold, it is determined that the strategy optimization warehouse needs to perform inventory update processing using a preset update method.

[0047] Optionally, determining that there is no need to perform inventory update processing on the strategy optimization warehouse using a preset update method specifically includes: Obtain the number of associated warehouses of the strategy optimization warehouse. When the number of associated warehouses of the strategy optimization warehouse is greater than a preset associated warehouse number threshold, it is determined that it is necessary to perform inventory update processing on the strategy optimization warehouse using a preset update method; When the number of associated warehouses of the strategy optimization warehouse is not greater than the preset associated warehouse number threshold: Based on the matching situation of the inventory data between the associated warehouse and the strategy optimization warehouse, determine the number of identical inventory items between the associated warehouse and the strategy optimization warehouse, and use the proportion of the number of the identical inventory items in the strategy optimization warehouse to determine the inventory matching coefficient between the associated warehouse and the strategy optimization warehouse. When the inventory matching coefficients of different associated warehouses and the strategy optimization warehouse are all less than the preset inventory matching coefficient threshold, it is determined that there is no need to perform inventory update processing on the strategy optimization warehouse using a preset update method; When there is an associated warehouse with an inventory matching coefficient not less than the preset inventory matching coefficient threshold: Obtain the number of associated warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold. When the number 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 perform inventory update processing on the strategy optimization warehouse using a preset update method; When the number 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 strategy optimization warehouse as update delay warehouses. When the number 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 perform inventory update processing on the strategy optimization warehouse using a preset update method; When the number of update delay warehouses with an inventory matching coefficient not less than the preset inventory matching coefficient threshold meets the requirements: Based on the inventory matching coefficients of different associated warehouses, the sales volume of the identical inventory items, and the proportion of the number of strategy optimization warehouses, determine the transfer processing demand value of the strategy optimization warehouse, and use the transfer processing demand value to determine whether the strategy optimization warehouse needs to perform inventory update processing using a preset update method.

[0048] Further, when the value of the goods transfer processing requirement is greater than the preset goods transfer processing requirement threshold, it is determined that the inventory of the policy optimization warehouse needs to be updated using a preset update method.

[0049] Specifically, as Figure 4 shown, the method for determining the frequently inventory-changing goods among the goods is as follows: Based on the sales data of the goods in the policy optimization warehouse on different matching e-commerce platforms, determine the sales volume of the goods on different matching e-commerce platforms; Based on the sales volume on different matching e-commerce platforms, determine the matching e-commerce platforms with a sales volume greater than the preset sales volume value, and use them as the sales volume matching platforms; According to the number of the sales volume matching platforms, determine whether the goods are frequently inventory-changing goods.

[0050] Further, when the number of the sales volume matching platforms is greater than the preset platform number threshold, it is determined that the goods are frequently inventory-changing goods.

[0051] It can be understood that the regional associated warehouse of the target delivery area is the warehouse whose distance from the target delivery area is less than the preset distance threshold.

[0052] Specifically, as Figure 5 shown, the method for determining the inventory update processing method of the frequently inventory-changing goods is as follows: 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; Using the ratio of the inventory to the sales volume, determine the inventory-sales matching coefficient of the different regional associated warehouses in the target delivery area; According to the inventory-sales matching coefficients of the different regional associated warehouses, determine the matching deviation areas in the target delivery area, and according to the number of the matching deviation areas, determine the inventory update processing method of the frequently inventory-changing goods.

[0053] Further, the matching deviation area is the target delivery area where the inventory-sales matching coefficients of different regional associated warehouses are all less than the preset sales matching coefficient threshold.

[0054] It should be noted that determining the inventory update processing method of the frequently inventory-changing goods according to the number of the matching deviation areas specifically includes: When the number of the matching deviation areas is greater than the preset deviation area number threshold, conduct an inventory check of the frequently inventory-changing goods using a second preset time period; When the number of the matching deviation regions is not greater than a preset deviation region number threshold, and when the sales volume of the frequently inventory - changed commodity is greater than a preset sales volume threshold, then the inventory checking process of the frequently inventory - changed commodity is carried out.

[0055] It can be understood that the duration of the second preset time period is less than the preset time period.

[0056] In another possible embodiment, the method for determining the inventory update processing method of the frequently inventory - changed commodity is as follows: 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; 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; S43 Determine the inventory shortage impact value of the frequently inventory - changed commodity according to the warehouse matching coefficients of different target shipping regions, and determine the inventory update processing method of the frequently inventory - changed commodity based on the inventory shortage impact value.

[0057] Optionally, determining the inventory update processing method of the frequently inventory - changed commodity based on the inventory shortage impact value specifically includes: When the inventory shortage impact value is greater than a preset shortage impact value threshold, then use the second preset time period to carry out the inventory checking process of the frequently inventory - changed commodity; When the inventory shortage impact value is not greater than a preset shortage impact value threshold, and when the sales volume of the frequently inventory - changed commodity is greater than a preset sales volume threshold, then carry out the inventory checking process of the frequently inventory - changed commodity.

[0058] In the second aspect of the second embodiment, 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.

[0059] Optionally, the following content is included in the above step S41: 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, then use the second preset time period to carry out the inventory checking process of the frequently inventory - changed commodity. When the number of target shipping regions without region - associated warehouses meets the requirements, proceed to step S412; 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; 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.

[0060] Optionally, the above step S42 includes the following content: 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; 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; 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; S424 obtains the number of target delivery areas whose warehouse matching coefficients are within the preset inventory matching coefficient range. When the number of target delivery areas whose warehouse matching coefficients are within the preset inventory matching coefficient range does not meet the requirements, the inventory of the frequently changing inventory items is inventoried using the second preset time period. When the number of target delivery areas whose warehouse matching coefficients are within the preset inventory matching coefficient range meets the requirements, it proceeds to step S43.

[0061] 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, and the differences between each embodiment and other embodiments are emphasized. In particular, for the embodiments of devices, equipment, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the description of the method embodiments.

[0062] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed 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 particular order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A commodity inventory update management method for an e-commerce enterprise, characterized in that: Specifically include: Determine the matching e-commerce platform of the warehouse based on the e-commerce platform data corresponding to the warehouse of the e-commerce enterprise, and determine the strategic optimization warehouse in the warehouse based on the inventory data and sales data of the warehouses in different matching e-commerce platforms; According to the target shipping area of ​​the strategic optimization warehouse, the associated warehouses in the strategic optimization warehouse are determined, and when it is determined that it is not necessary to use the preset update method to update the inventory of the strategic optimization warehouse based on the matching of the inventory data of different associated warehouses with the strategic optimization warehouse and the composition data of the strategic optimization warehouse in the associated warehouse, the next step is entered; Based on the sales data of the commodities in the warehouse on different matching e-commerce platforms optimized by the strategy, the commodities with frequent inventory changes among the commodities are determined; The regional associated warehouse of the target shipping area is determined by the distance between the warehouse and the different target shipping areas, and the inventory update processing method of the frequently changing inventory products is determined based on the sales data and inventory data of the frequently changing inventory products in the regional associated warehouses of the different target shipping areas.

2. The commodity inventory update management method for 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 listed.

3. The commodity inventory update management method for an e-commerce enterprise according to claim 1, characterized in 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.

4. The commodity inventory update management method for an e-commerce enterprise according to claim 1, characterized in that: The method for determining the strategy optimization warehouse in the warehouse is: Determine the on-shelf inventory commodities of the warehouse in the matching e-commerce platform based on the on-shelf inventory commodities of the warehouse in the matching e-commerce platform, and determine the commodity matching coefficient of the matching e-commerce platform based on the proportion of the on-shelf inventory commodities in the inventory commodities of the warehouse; Determining a screening matching platform among the matching e-commerce platforms based on the product matching coefficient; According to the total sales volume of the listed inventory items on different screening and matching platforms, it is determined whether the warehouse is a strategic optimization warehouse.

5. The commodity inventory update management method for an e-commerce enterprise according to claim 4, characterized in that: The screening matching platform is a matching e-commerce platform whose product matching coefficient is greater than a preset matching coefficient.

6. The commodity inventory update management method for an e-commerce enterprise according to claim 1, characterized in that: When the warehouse is not a strategically optimized warehouse, an inventory of the inventory of the warehouse is performed using a preset time period.

7. The commodity inventory update management method for an e-commerce enterprise according to claim 1, characterized in that: The method for determining the inventory update processing method for the frequently changing inventory products is: Determine the sales volume and inventory volume of regional associated warehouses in different target shipping areas by using the sales data and inventory data of regional associated warehouses in different target shipping areas; Determine the inventory-to-sales ratio of different regional associated warehouses in the target shipping region; According to the inventory-sales matching coefficients of warehouses associated with different regions, the matching deviation regions in the target delivery region are determined, and according to the number of the matching deviation regions, the inventory update processing method for the frequently changing inventory commodities is determined.

8. The commodity inventory update management method for an e-commerce enterprise according to claim 7, characterized in that: The matching deviation region is a target shipping region where the inventory sales matching coefficients of warehouses associated with different regions are all less than a preset sales matching coefficient threshold.

9. The commodity inventory update management method for an e-commerce enterprise according to claim 7, characterized in that: According to the number of the matching deviation regions, an inventory update processing method for the frequently-changed inventory commodities is determined, specifically comprising: When the number of the matching deviation regions is greater than the preset deviation region number threshold, the second preset time period is used to perform inventory processing on the frequently changing inventory commodities; When the number of the matching deviation areas is not greater than the preset deviation area number threshold, and when the sales volume of the frequently-changing inventory commodities is greater than the preset sales volume threshold, an inventory count of the frequently-changing inventory commodities is performed.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a commodity inventory update management method for an e-commerce enterprise as described in any one of claims 1-9 is executed.

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