A method and system for selling supplier inventory of long-tail products

Abstract

The present invention provides a supplier inventory sales method and system for long-tail category commodities, which belongs to the technical field of sales management, and specifically includes: wherein a fulfillment order generation module is responsible for generating a fulfillment order for an enterprise according to commodity information and customer information in a sales order; a supply order generation module is responsible for splitting the fulfillment order according to the supply warehouse to generate a product supply order; according to the mapping relationship between the warehouse, the product and the supplier in the product supply order, a purchase supply order is generated according to the mapping relationship; a purchase order generation module is responsible for aggregating all purchase supply orders of the same supplier to generate a batch of purchase supply orders of the supplier dimension, and issuing the purchase supply orders of the supplier dimension to generate a purchase order in a one-to-one manner; a delivery processing module is responsible for shipping the goods to the ordering customer according to the data of the purchase order and the supplier inventory sales strategy corresponding to the goods, thereby reducing the material cost of the platform.

Description

Technical Field

[0001] The present invention belongs to the technical field of sales management, and in particular, relates to a supplier inventory sales method and system for long-tail category commodities. Background Art

[0002] Long-tail products are products with low demand or poor sales. This makes it a technical problem that needs to be solved urgently to manage the sales of long-tail products and improve the sales and processing efficiency of long-tail products while ensuring a reasonable inventory level.

[0003] In order to achieve sales management of long-tail products, the invention patent application CN201610912581.5 "A method and device for recommending objects" obtains an object set of at least one dimension from outside the site and compares it with the recommended object set in the site, selects long-tail objects that can be recommended to users from the recommended object set, and recommends the objects to users when users need to make recommendations, thereby improving the recommendation processing efficiency of long-tail products. However, there are the following technical problems:

[0004] In the supply chain industry, there are often problems such as high warehousing costs and difficult inventory management. The direct sale of some mid- and long-tail products through warehousing physical inventory often leads to corporate problems such as difficulty in capital turnover.

[0005] In response to the above technical problems, the present invention proposes a method and system for selling supplier inventory of long-tail category products. Summary of the invention

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

[0007] According to one aspect of the present invention, a method and system for selling supplier inventory of long-tail category commodities are provided.

[0008] In a first aspect, the present invention provides a supplier inventory sales system for long-tail category commodities, specifically comprising:

[0009] Fulfillment order generation module, supply order generation module, purchase order generation module, and shipment processing module;

[0010] The fulfillment order generation module is responsible for generating a fulfillment order based on the product information and customer information in the sales order.

[0011] The supply order generation module is responsible for splitting the fulfillment order according to the supply warehouse, generating a goods supply order, and generating a purchase supply order based on the mapping relationship between the warehouse, goods and suppliers in the goods supply order.

[0012] The purchase order generation module is responsible for aggregating all purchase supply orders of the same supplier, generating a batch of purchase supply orders of the supplier dimension, and issuing the purchase supply orders of the supplier dimension to generate purchase orders one by one;

[0013] The delivery processing module is responsible for delivering the goods to the ordering customer based on the purchase order data and the supplier's inventory sales strategy corresponding to the goods.

[0014] A further technical solution is that the fulfillment order includes the product name, quantity and price of the sales order.

[0015] In a second aspect, the present invention provides a method for selling supplier inventory of long-tail products, which uses the above-mentioned supplier inventory selling system for long-tail products, and specifically includes:

[0016] S1 determines similar products of the product according to the analysis results of the long-tail category products, classifies the product and the similar products into the same product group, and when it is determined that the product exposure conversion rate of the product group meets the requirements according to the exposure data and historical sales data of the target product in the product group, proceeds to the next step;

[0017] S2: obtaining exposure data of the product and similar products, and determining the exposure conversion reliability coefficient of the product in combination with historical sales data of the product and similar products. When the exposure conversion reliability coefficient of the product is within a preset range, proceeding to the next step;

[0018] S3 determines the association between the commodity and different commodities on the platform based on the analysis results of the historical browsing data and the historical sales data of the commodity, and determines the associated commodities on the platform using the association;

[0019] S4 obtains historical sales data of related products on the platform, and determines the supplier inventory sales strategy corresponding to the product in combination with the exposure conversion reliability coefficient of the product and the historical sales data.

[0020] The beneficial effects of the present invention are:

[0021] Based on the exposure data and historical sales data of the target products in the product group, it is determined whether the product exposure conversion rate of the product group meets the requirements, thereby achieving accurate evaluation of the exposure conversion situation in the product group from the perspective of the exposure data and historical sales data of multiple products in the product group, and achieving the screening of product groups with poor exposure conversion conditions, thereby avoiding the technical problem of high costs caused by large inventory levels on the platform due to product groups with poor exposure conversion conditions, and achieving the screening of product groups that are directly shipped by suppliers.

[0022] The supplier inventory sales strategy corresponding to the product is determined based on the historical sales data of related products on the platform, the product's exposure conversion reliability coefficient and historical sales data. Full consideration is given to the relationship between the product and the platform, the reliability of exposure conversion and sales, and the supplier inventory sales strategy is determined from multiple angles, which not only ensures the efficiency of sales processing, but also reduces the platform's inventory pressure.

[0023] A further technical solution is that the method for determining the supplier inventory sales strategy corresponding to the commodity is:

[0024] Determine the historical sales volume of the associated products based on the historical sales data of the associated products on the platform, and determine the platform correlation coefficient between the products and the platform based on the number of associated products;

[0025] Determining the historical sales volume of the commodity based on the historical sales data of the commodity;

[0026] The comprehensive matching coefficient of the product is determined by the platform association coefficient, the exposure conversion reliability coefficient and the historical sales volume, and the supplier inventory sales strategy corresponding to the product is determined by using the comprehensive matching coefficient of the product.

[0027] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings;

[0030] Figure 1 It is a framework diagram of a supplier inventory sales system for long-tail products;

[0031] Figure 2 It is a flow chart of a method for selling supplier inventory for long-tail category goods;

[0032] Figure 3 is a flow chart of a method for determining a product exposure conversion rate of a product group;

[0033] Figure 4 It is a flow chart of a method for determining a product's exposure conversion reliability coefficient;

[0034] Figure 5 It is a flow chart of a method for determining a supplier inventory sales strategy corresponding to a commodity. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0036] Embodiment 1 To solve the above-mentioned problem, according to one aspect of the present invention, Figure 1 As shown, a first aspect is provided. The present invention provides a supplier inventory sales system for long-tail category commodities, specifically comprising:

[0037] Fulfillment order generation module, supply order generation module, purchase order generation module, and shipment processing module;

[0038] The fulfillment order generation module is responsible for generating a fulfillment order based on the product information and customer information in the sales order.

[0039] The supply order generation module is responsible for splitting the fulfillment order according to the supply warehouse, generating a goods supply order, and generating a purchase supply order based on the mapping relationship between the warehouse, goods and suppliers in the goods supply order.

[0040] The purchase order generation module is responsible for aggregating all purchase supply orders of the same supplier, generating a batch of purchase supply orders of the supplier dimension, and issuing the purchase supply orders of the supplier dimension to generate purchase orders one by one;

[0041] The delivery processing module is responsible for delivering the goods to the ordering customer based on the purchase order data and the supplier's inventory sales strategy corresponding to the goods.

[0042] Furthermore, the fulfillment order includes the product name, quantity, and price of the sales order.

[0043] In one embodiment, the system invents a system that automatically converts sales into purchases throughout the entire process. The overall process is shown in the attached figure. The following are the specific contents:

[0044] Generate corresponding order snapshots for orders placed and paid by users - fulfillment orders and corresponding fulfillment order details.

[0045] Since the goods in an order may be supplied by multiple warehouses, the fulfillment order is first split according to the supply warehouse to generate a goods supply order.

[0046] Conversion function model from fulfillment order to product supply order

[0047] The core of splitting fulfillment orders into product supply orders by warehouse is an optimization algorithm based on warehouse inventory and order demand. We use the following formula to define the decision logic for order splitting:

[0048]

[0049] in:

[0050] Split the demand for the order at the i-th warehouse.

[0051] is the commodity demand of sales order j.

[0052] is the current inventory of warehouse j.

[0053] is the total number of warehouses in the supply chain.

[0054] When it comes to the goods supply order area, the specific warehouse is determined. The next step is to find the corresponding supply supplier based on the mapping relationship between the warehouse, goods and their corresponding suppliers, and generate a purchase supply order based on this relationship after the order is closed every night.

[0055] Conversion function model from product supply order to purchase supply order

[0056] Following the above steps, we have generated a list of product supply orders, each of which represents the demand for a specific product in a single warehouse for a single order. Our system uses the following conversion function to calculate the purchase demand for each product:

[0057] in:

[0058] Is a supplier For goods Total purchase demand.

[0059] Is the supplier in the goods supply list Products provided demand.

[0060] Is a supplier The quantity of the supply order of the goods.

[0061] At this point, the purchase supply order is generated, but the purchase supply order of this dimension is still the dimension of the order and is relatively scattered. It is necessary to aggregate all the purchase supply orders of the same supplier to generate a batch of purchase supply orders of the supplier dimension, and then generate purchase orders by issuing this batch of purchase supply orders (conversion ratio: 1:1).

[0062] Formula for consolidating purchase and supply orders by supplier

[0063] After generating the purchase requirements for each product, we need to merge these requirements by supplier in order to generate a purchase supply order. The following formula shows the merging logic:

[0064] in:

[0065] SSt is time The set of all existing suppliers that have demand.

[0066] Same supplier For all products The total purchase demand.

[0067] PS t It's time Total purchase requirements from all suppliers.

[0068] After the purchase order is generated in the purchasing system, the buyer can go to the corresponding supplier to pick up the goods based on this batch of data the next morning, and then ship the goods to the corresponding ordering customers.

[0069] Embodiment 2 The second aspect, as Figure 2 As shown, the present invention provides a method for selling supplier inventory of long-tail category commodities, and applies the above-mentioned supplier inventory selling system for long-tail category commodities, specifically comprising:

[0070] S1 determines similar products of the product according to the analysis results of the long-tail category products, classifies the product and the similar products into the same product group, and when it is determined that the product exposure conversion rate of the product group meets the requirements according to the exposure data and historical sales data of the target product in the product group, proceeds to the next step;

[0071] S2: obtaining exposure data of the product and similar products, and determining the exposure conversion reliability coefficient of the product in combination with historical sales data of the product and similar products. When the exposure conversion reliability coefficient of the product is within a preset range, proceeding to the next step;

[0072] S3 determines the association between the commodity and different commodities on the platform based on the analysis results of the historical browsing data and the historical sales data of the commodity, and determines the associated commodities on the platform using the association;

[0073] S4 obtains historical sales data of related products on the platform, and determines the supplier inventory sales strategy corresponding to the product in combination with the exposure conversion reliability coefficient of the product and the historical sales data.

[0074] Furthermore, similar products to the product are products with similar uses to the product.

[0075] It can be understood that the exposure data and historical sales data of the target product are determined based on the reading result of the log data of the target product in the platform.

[0076] Specifically, the exposure data of the target product includes the number of exposures of the target product and the exposure durations of different exposure numbers.

[0077] Specifically, Figure 3 As shown, the method for determining the product exposure conversion rate of the product group is:

[0078] Determining the number of exposures of the target product in the product group based on the exposure data of the target product in the product group;

[0079] Determining the historical sales volume of the target commodity in the commodity group according to the historical sales data of the target commodity in the commodity group;

[0080] The product exposure conversion rate of the product group is determined based on the ratio of the historical sales volume to the number of exposures.

[0081] Furthermore, the product exposure conversion rate of the product group has a value range between 0 and 1. When the product exposure conversion rate of the product group is greater than a preset conversion rate threshold, it is determined that the product exposure conversion rate of the product group meets the requirement.

[0082] It is understandable that when the product exposure conversion rate of the product group does not meet the requirements, the supplier inventory sales strategy corresponding to the products is determined based on the preset sales strategy.

[0083] Optionally, the method for determining the product exposure conversion rate of the product group is:

[0084] Determining the number of exposures of the target product in the product group using the exposure data of the target product in the product group, and determining the exposed products in the product group using the number of exposures;

[0085] Calculate the historical sales volume of the exposed commodities in the commodity group according to the historical sales data of the exposed commodities in the commodity group, and determine the exposure conversion rates of different exposed commodities in combination with the exposure times of different exposed commodities;

[0086] The product exposure conversion rate of the product group is determined based on an average value of exposure conversion rates of different exposed products.

[0087] Optionally, the method for determining the product exposure conversion rate of the product group is:

[0088] S11: determining the exposure times of the target products in the product group using the exposure data of the target products in the product group, and determining the product exposure coefficients of the product group using the exposure times of different target products;

[0089] Optionally, the above step S11 includes steps S111-S113, which are specifically:

[0090] S111 determines the exposure times of the target products in the product group based on the exposure data of the target products in the product group. When the total exposure times of the target products in the product group is less than the preset times threshold, it is determined that the product exposure conversion rate of the product group does not meet the requirement. When the total exposure times of the target products in the product group is not less than the preset times threshold, the process proceeds to step S112.

[0091] When it is determined in step S112 that there is a target product whose exposure times meet the requirement based on the exposure times of the target product in the product group, the process proceeds to step S113; when there is no target product whose exposure times meet the requirement, it is determined that the product exposure conversion rate of the product group does not meet the requirement;

[0092] S113 uses the exposure times of different target products to determine the product exposure coefficient of the product group. When the product exposure coefficient of the product group is within a preset range, the process proceeds to step S32. When the product exposure coefficient of the product group is not within the preset range, it is determined that the product exposure conversion rate of the product group does not meet the requirements.

[0093] S12: Calculate the historical sales volume of the target products in the product group according to the historical sales data of the target products in the product group, and determine the exposure conversion rates of different target products in combination with the exposure times of different target products;

[0094] Optionally, the above step S12 includes steps S121-S124, specifically:

[0095] S121: calculating the historical sales volume of the target product in the product group according to the historical sales data of the target product in the product group. When the total historical sales volume of the target product in the product group is less than the preset sales volume, it is determined that the product exposure conversion rate of the product group does not meet the requirement. When the total historical sales volume of the target product in the product group is not less than the preset sales volume, the process proceeds to step S122.

[0096] S122 determines the exposure conversion rates of different target products according to the historical sales volume and exposure times of the target products in the product group. When the exposure conversion rates of the different target products meet the requirements, the process proceeds to step S13. When there is a target product whose exposure conversion rate does not meet the requirements, the process proceeds to step S123.

[0097] S123: The target products whose exposure conversion rates do not meet the requirements are regarded as exposure deviation products. When the number of exposure deviation products does not meet the requirements, it is determined that the product exposure conversion rates of the product group do not meet the requirements. When the number of exposure deviation products meets the requirements, the process proceeds to step S124.

[0098] S124 takes the target products except the exposure deviation products as other target products. When there are other target products whose exposure times are greater than the preset exposure times threshold, the process proceeds to step S13. When there are no other target products whose exposure times are greater than the preset exposure times threshold, it is determined that the product exposure conversion rate of the product group does not meet the requirements.

[0099] S13 determines the product exposure conversion rate of the product group based on the exposure conversion rates of different target products and the product exposure coefficient of the product group.

[0100] Specifically, Figure 4 As shown, the method for determining the exposure conversion reliability coefficient of the product is:

[0101] Determine the exposure conversion rate of the product and the exposure conversion rate of similar products based on the exposure times and historical sales times of the product and the exposure times and historical sales times of similar products respectively;

[0102] Determine the average exposure conversion rate based on the average exposure conversion rate of different similar products, and determine the conversion rate deviation according to the deviation between the exposure conversion rate of the product and the average exposure conversion rate;

[0103] The exposure conversion reliability coefficient of the product is determined according to the exposure conversion rate of the product and the conversion rate deviation.

[0104] Furthermore, the exposure-conversion reliability coefficient of the product is determined according to the product's exposure-conversion rate multiplied by the conversion rate deviation.

[0105] It should also be noted that when the exposure conversion reliability coefficient of the product is not within the preset range, the supplier inventory sales strategy corresponding to the product is determined based on the preset sales strategy.

[0106] Specifically, the method for determining the exposure conversion reliability coefficient of the product is:

[0107] Determine the exposure conversion rate of the product and the exposure conversion rate of similar products based on the exposure times and historical sales times of the product and the exposure times and historical sales times of similar products respectively;

[0108] Determining a preset weight coefficient of the product based on the exposure conversion rate of the product and the exposure conversion rates of different similar products;

[0109] The exposure conversion reliability coefficient of the product is determined according to the exposure conversion rate of the product and a preset weight coefficient.

[0110] Furthermore, the preset weight coefficient is determined according to the order of the exposure conversion rate of the product in the exposure conversion rate of the product group.

[0111] Optionally, the method for determining the exposure conversion reliability coefficient of the product is:

[0112] Get the exposure times of the product. When the exposure times of the product are less than the preset exposure times:

[0113] It is determined that the exposure conversion reliability coefficient of the product is not within the preset range;

[0114] When the exposure count of the product is not less than the preset exposure count:

[0115] Obtaining the historical sales number of the product, when the historical sales number of the product within a preset time period is less than a preset sales number threshold: determining that the exposure conversion reliability coefficient of the product is not within a preset range;

[0116] When the historical sales number of the product within the preset time period is not less than the preset sales number threshold:

[0117] Determine the exposure conversion rate of the product based on the number of exposures and the number of historical sales of the product. When the exposure conversion rate of the product is less than a preset conversion rate threshold, determine that the exposure conversion reliability coefficient of the product is not within a preset range.

[0118] When the exposure conversion rate of the product is less than the preset conversion rate threshold:

[0119] Determine the exposure conversion rates of different similar products based on the exposure times and historical sales times of different similar products, and use the exposure conversion rates of different similar products to determine the average value of the exposure conversion rates of different similar products, and use the average value as the conversion rate average value;

[0120] When the exposure conversion rate of the product is lower than the average conversion rate:

[0121] It is determined that the exposure conversion reliability coefficient of the product is not within the preset range;

[0122] When the exposure conversion rate of the product is not less than the average conversion rate:

[0123] The conversion rate deviation is determined according to the deviation between the exposure conversion rate of the product and the conversion rate mean, and the exposure conversion reliability coefficient of the product is determined according to the exposure conversion rate of the product and the conversion rate deviation.

[0124] Specifically, the method for determining the associated products on the platform is:

[0125] Based on the analysis result of the historical browsing data of the product, it is determined that there are shopping users on the platform who browse the product and the products on the platform at the same time, and the shopping users are regarded as simultaneous browsing users, and the browsing correlation coefficient between the product and the products on the platform is determined according to the number of simultaneous browsing users;

[0126] Based on the analysis result of the historical sales data of the product, determine that the product and the product on the platform are in the same shopping order at the same time, and use it as an associated shopping order, and determine the sales correlation coefficient between the product and the product on the platform according to the number of associated shopping orders;

[0127] A comprehensive correlation coefficient between the product and products on the platform is determined according to the browsing correlation coefficient and the sales correlation coefficient, and whether the product on the platform is a related product is determined based on the comprehensive correlation coefficient.

[0128] Furthermore, the browsing correlation coefficient between the product and the products on the platform is determined according to the ratio of the number of simultaneously browsing users to the number of registered users on the platform.

[0129] It should also be noted that the sales correlation coefficient between the product and the products on the platform is determined according to the ratio of the number of the associated shopping orders to the number of shopping orders for the product.

[0130] Optionally, when the comprehensive correlation coefficient between the product and the products on the platform is greater than a preset correlation coefficient threshold, it is determined that the product on the platform is a related product.

[0131] Optionally, the method for determining the associated products on the platform is:

[0132] Based on the analysis result of the historical browsing data of the product, it is determined that there are shopping users on the platform who browse the product and the products on the platform at the same time, and the shopping users are regarded as simultaneous browsing users. When the number of the simultaneous browsing users is less than the preset number of browsing users, it is determined that the product on the platform is not an associated product.

[0133] When the number of simultaneous browsing users is not less than the preset number of browsing users:

[0134] Based on the analysis result of the historical sales data of the commodity, it is determined that the commodity and the commodity on the platform are in the same shopping order at the same time, and the order is taken as an associated shopping order. When the number of the associated shopping orders is less than the preset order number, it is determined that the commodity on the platform is not an associated commodity;

[0135] When the quantity of the associated shopping orders is not less than the preset order quantity:

[0136] When the number of associated shopping orders or the number of concurrent browsing users are both within a preset number range:

[0137] It is determined that the products on the platform are related products;

[0138] When the number of associated shopping orders or the number of concurrent browsing users is not within the preset quantity range:

[0139] Determining weight coefficients of different simultaneous browsing users according to the number of associated shopping orders of different simultaneous browsing users, and when the weight coefficient is greater than a preset weight coefficient and the number of simultaneous browsing users is greater than a preset number of users, determining that the products on the platform are associated products;

[0140] When the weight coefficient is greater than the preset weight coefficient and the number of browsing users is not greater than the preset number of users:

[0141] Determine the browsing correlation coefficient between the product and the products on the platform according to the number of simultaneous browsing users, and determine the sales correlation coefficient between the product and the products on the platform according to the number of associated shopping orders;

[0142] A comprehensive correlation coefficient between the product and products on the platform is determined according to the browsing correlation coefficient and the sales correlation coefficient, and whether the product on the platform is a related product is determined based on the comprehensive correlation coefficient.

[0143] Specifically, Figure 5 As shown, the method for determining the supplier inventory sales strategy corresponding to the commodity is:

[0144] Determine the historical sales volume of the associated products based on the historical sales data of the associated products on the platform, and determine the platform correlation coefficient between the products and the platform based on the number of associated products;

[0145] Determining the historical sales volume of the commodity based on the historical sales data of the commodity;

[0146] The comprehensive matching coefficient of the product is determined by the platform association coefficient, the exposure conversion reliability coefficient and the historical sales volume, and the supplier inventory sales strategy corresponding to the product is determined by using the comprehensive matching coefficient of the product.

[0147] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0148] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0149] The above description 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 may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A supplier inventory sales system for long-tail products, characterized in that: Specifically include: Fulfillment order generation module, supply order generation module, purchase order generation module, and shipment processing module; The fulfillment order generation module is responsible for generating a fulfillment order based on the product information and customer information in the sales order. The supply order generation module is responsible for splitting the fulfillment order according to the supply warehouse, generating a product supply order, and driving the generation of a purchase supply order according to the mapping relationship between the warehouse, product and supplier in the product supply order; The purchase order generation module is responsible for aggregating all purchase supply orders of the same supplier, generating a batch of purchase supply orders of the supplier dimension, and issuing the purchase supply orders of the supplier dimension to generate purchase orders one by one; The delivery processing module is responsible for delivering the goods to the ordering customer according to the purchase order data and the supplier's inventory sales strategy corresponding to the goods; Determine similar products of the product according to the analysis results of the long-tail category products, classify the product and the similar products into the same product group, and proceed to the next step when it is determined that the product exposure conversion rate of the product group meets the requirements according to the exposure data and historical sales data of the target products in the product group; Acquire exposure data of the product and similar products, and determine the exposure conversion reliability coefficient of the product in combination with historical sales data of the product and similar products, and proceed to the next step when the exposure conversion reliability coefficient of the product is within a preset range; Based on the analysis results of the historical browsing data and historical sales data of the product, determine the association between the product and different products on the platform, and use the association to determine the associated products on the platform; The historical sales data of the related products on the platform are obtained, and the supplier inventory sales strategy corresponding to the products is determined in combination with the exposure conversion reliability coefficient of the products and the historical sales data.

2. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: The fulfillment order includes the product name, quantity and price of the sales order.

3. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: Similar products to the product are products with similar uses to the product.

4. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: The exposure data and historical sales data of the target product are determined according to the reading result of the log data of the target product in the platform.

5. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: The exposure data of the target product includes the number of exposures of the target product and the exposure durations of different exposure numbers.

6. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: The method for determining the product exposure conversion rate of the product group is: Determining the number of exposures of the target product in the product group based on the exposure data of the target product in the product group; Determining the historical sales volume of the target commodity in the commodity group according to the historical sales data of the target commodity in the commodity group; The product exposure conversion rate of the product group is determined based on the ratio of the historical sales volume to the number of exposures.

7. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: When the product exposure conversion rate of the product group does not meet the requirement, the supplier inventory sales strategy corresponding to the product is determined based on the preset sales strategy.

8. The supplier inventory sales system for long-tail products as claimed in claim 1, characterized in that: The method for determining the associated products on the platform is: Based on the analysis result of the historical browsing data of the product, it is determined that there are shopping users on the platform who browse the product and the products on the platform at the same time, and the shopping users are regarded as simultaneous browsing users, and the browsing correlation coefficient between the product and the products on the platform is determined according to the number of simultaneous browsing users; Based on the analysis result of the historical sales data of the product, determine that the product and the product on the platform are in the same shopping order at the same time, and use it as an associated shopping order, and determine the sales correlation coefficient between the product and the product on the platform according to the number of associated shopping orders; A comprehensive correlation coefficient between the product and products on the platform is determined according to the browsing correlation coefficient and the sales correlation coefficient, and whether the product on the platform is a related product is determined based on the comprehensive correlation coefficient.

9. The supplier inventory selling system for long-tail products as claimed in claim 8, characterized in that: The browsing correlation coefficient between the commodity and the commodities on the platform is determined according to the ratio of the number of the simultaneously browsing users to the number of the registered users on the platform.

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