Supply chain tracking and management method and system

Abstract

The present invention provides a supply chain tracking and management method and system, which belongs to the field of data processing technology, and specifically includes: determining the activity types of different associated users according to the shopping data of different associated users on the shopping platform, and determining the commodity association coefficient of the target commodity in combination with the user association coefficients of the different associated users, and when it is determined by using the commodity matching coefficient of the target commodity that it is not necessary to adopt a preset strategy for supply chain tracking and management, determining the cargo damage data of the target commodity during transportation according to the supply chain data of the target commodity, and when it is determined by using the cargo damage data that it is not necessary to adopt a preset strategy for supply chain tracking and management, determining the supply chain tracking and management strategy of the target commodity according to the transportation data, cargo damage data of the target commodity during transportation and the target commodity matching coefficient of the target commodity, thereby ensuring the reliability of supply chain tracking and management.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and in particular relates to a supply chain tracking and management method and system. Background Art

[0002] In order to track and manage the supply chain, the LOA-LSTM model is used in the invention patent application CN202410247241.X "Aluminum smelting product quality monitoring and traceability method and system based on big data modeling" to predict the time required for cargo transportation and the probability of emergencies, and to analyze real-time data monitoring and historical data to improve logistics transportation efficiency and supply chain response speed, and reduce the impact of emergencies and complex conditions on cargo transportation. However, there are the following technical problems:

[0003] In the existing technical solutions, when conducting supply chain management, due to the large deviation in sales data of different types of target commodities, once supply chain problems occur for different types of target commodities, the probability of shortage risks of related target commodities in the platform will also vary to a certain extent. Therefore, if the supply chain tracking management strategy cannot be determined based on the shortage risk, the reliability of the supply chain cannot be guaranteed.

[0004] In view of the above technical problems, the present invention provides a supply chain tracking and management method and system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, a supply chain tracking and management method is provided.

[0007] A supply chain tracking and management method, specifically comprising:

[0008] S1 determines the purchasers of the target product and the related products based on the sales data of the target product and the related products on the shopping platform, and determines the associated users of the target product and the user association coefficients of the associated users based on the purchase data and browsing data of the target product and the related products by the purchasing users;

[0009] S2 determines the activity types of different associated users according to the shopping data of different associated users on the shopping platform, and determines the commodity association coefficient of the target commodity in combination with the user association coefficient of the different associated users. When it is determined by using the commodity matching coefficient of the target commodity that it is not necessary to adopt the preset strategy for supply chain tracking and management, proceeds to the next step;

[0010] S3 determines the cargo damage data of the target commodity during transportation based on the supply chain data of the target commodity, and when using the cargo damage data to determine that it is not necessary to adopt a preset strategy for supply chain tracking and management, determines the supply chain tracking and management strategy of the target commodity based on the transportation data, cargo damage data of the target commodity during transportation and the target commodity matching coefficient of the target commodity.

[0011] The beneficial effects of the present invention are:

[0012] 1. Use the product matching coefficient of the target product to determine whether it is necessary to adopt a preset strategy for supply chain tracking and management, thereby determining the supply chain tracking and management strategy from the perspective of the historical shopping data of the target product on the shopping platform, taking into account not only the activity of associated users on the shopping platform, but also the number of associated users on the shopping platform, thereby avoiding unexpected situations such as shortages of target products due to insufficient reliability of supply chain tracking and management.

[0013] 2. The supply chain tracking and management strategy of the target commodity is determined based on the transportation data, cargo damage data and target commodity matching coefficient of the target commodity during transportation. This not only takes into account the cargo damage of the target commodity during transportation, but also avoids the technical problem of the cargo damage not meeting the requirements due to unreliable supply chain tracking and management of the target commodity with serious cargo damage. At the same time, it also takes into account the difference in the number of associated users of the target commodity on the shopping platform, which may lead to unexpected situations such as shortage of the target commodity, thereby realizing the determination of the supply chain tracking and management strategy of the target commodity from multiple angles.

[0014] A further technical solution is that the associated products are determined according to the target product type and target customer group of the target product.

[0015] A further technical solution is that the sales data is determined based on the analysis results of the historical sales records of the target product.

[0016] A further technical solution is that the method for determining the associated users of the target product is:

[0017] Determine the products whose purchase times are greater than a preset purchase times based on the purchase data of the purchasing user for the target product and related products, and use them as the products to be screened for purchase;

[0018] Determine the products whose browsing times are greater than a preset browsing times based on the browsing data of the purchasing user on the target product and related products, and use them as the products to be screened for browsing;

[0019] The user association coefficient between the purchasing user and the target product is determined according to the number of the filtered purchased products and the filtered browsed products, and the user association coefficient is used to determine whether the purchasing user is an associated user of the target product.

[0020] A further technical solution is that the user association coefficient is determined according to an average value of the proportion of the filtered purchased products in the associated products and the proportion of the filtered browsed products in the associated products.

[0021] A further technical solution is that the value range of the user association coefficient is between 0 and 1, wherein when the user association coefficient of the purchasing user is greater than a preset association coefficient, the purchasing user is determined to be an associated user of the target product.

[0022] A further technical solution is to determine the supply chain tracking and management strategy of the target commodity based on the management demand coefficient, specifically including:

[0023] Based on the demand coefficient interval in which the management demand coefficient is located, the matching strategy corresponding to the demand coefficient interval is used to determine the supply chain tracking and management strategy of the target commodity.

[0024] A further technical solution is that the preset strategy is to install an Internet of Things monitoring device on the target goods and transportation vehicles to track and manage the supply chain.

[0025] A further technical solution is that the supply chain tracking and management strategy of the target commodity includes setting up an Internet of Things monitoring device on the target commodity and the transport vehicle for supply chain tracking and management, setting up an Internet of Things monitoring device only on the transport vehicle for supply chain tracking and management, and not setting up an Internet of Things monitoring device for supply chain tracking and management.

[0026] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned supply chain tracking and management method when running the computer program.

[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 attached drawings.

[0030] Figure 1 It is a flow chart of a supply chain tracking and management method;

[0031] Figure 2 is a flowchart of a method for determining associated users of a target product;

[0032] Figure 3 is a flow chart of a method for determining an activity type of an associated user;

[0033] Figure 4 is a flow chart of a method for determining a target commodity correlation coefficient of a target commodity;

[0034] Figure 5 It is a framework diagram of a computer system. 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] When conducting supply chain management, since different types of target products have different sales data and target users on a designated platform, it is necessary to determine the supply chain tracking and management strategy for the target product based on the sales data, transportation risk, and cargo damage of the target product, which not only ensures the reliability of supply chain management, but also reduces the cost of supply chain management.

[0037] User association coefficient: The purchase and browsing data of different products are calculated based on the purchasing users' purchase data and browsing data of the target products and related products. Products with purchase times greater than 3 times or browsing times greater than 10 times are selected as screening products, and the proportion of the screened products in the target products and related products is taken as the user association coefficient.

[0038] Associated users: purchasing users whose user association coefficient is greater than 0.6.

[0039] Activity type: The activity type of the associated user is determined based on the number of purchases made by the associated user on the shopping platform. Specific activity types include active users and general users.

[0040] Product association coefficient of target product: the association coefficients of different activity types are determined by weighting the user association coefficients of associated users of different activity types, and the product association coefficient of the target product is determined according to the product of the association coefficients of different activity types and the preset weight coefficients, wherein the preset weight coefficients are 0.6 and 0.3.

[0041] The product matching coefficient of the target product is used to determine whether the preset strategy does not need to be used for supply chain tracking and management: when the product correlation coefficient of the target product is less than 0.3, it is determined that the preset strategy does not need to be used for supply chain tracking and management; when the product correlation coefficient of the target product is not less than 0.3, it is determined that the preset strategy needs to be used for supply chain tracking and management.

[0042] Use cargo damage data to determine whether it is necessary to adopt preset strategies for supply chain tracking and management: Use cargo damage data of target goods during transportation to determine the average cargo damage rate. When the average cargo damage rate is less than 0.05, it is determined that it is not necessary to adopt preset strategies for supply chain tracking and management.

[0043] Supply chain tracking and management strategy for target goods: Determine the management demand coefficient of the target goods based on the average cargo damage rate, the ratio of the transportation mileage to the preset transportation mileage, and the average value of the target goods matching coefficient of the target goods, and determine the supply chain tracking and management strategy for the target goods based on the management demand coefficient.

[0044] The supply chain tracking and management strategies for the target goods include installing IoT monitoring devices on the target goods and transport vehicles for supply chain tracking and management, installing IoT monitoring devices only on transport vehicles for supply chain tracking and management, and not installing IoT monitoring devices for supply chain tracking and management.

[0045] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, a supply chain tracking and management method is provided, which specifically includes:

[0046] S1 determines the purchasers of the target product and the related products based on the sales data of the target product and the related products on the shopping platform, and determines the associated users of the target product and the user association coefficients of the associated users based on the purchase data and browsing data of the target product and the related products by the purchasing users;

[0047] S2 determines the activity types of different associated users according to the shopping data of different associated users on the shopping platform, and determines the commodity association coefficient of the target commodity in combination with the user association coefficient of the different associated users. When it is determined by using the commodity matching coefficient of the target commodity that it is not necessary to adopt the preset strategy for supply chain tracking and management, proceeds to the next step;

[0048] S3 determines the cargo damage data of the target commodity during transportation based on the supply chain data of the target commodity, and when using the cargo damage data to determine that it is not necessary to adopt a preset strategy for supply chain tracking and management, determines the supply chain tracking and management strategy of the target commodity based on the transportation data, cargo damage data of the target commodity during transportation and the target commodity matching coefficient of the target commodity.

[0049] Furthermore, the associated products are determined according to the target product type and the target customer group of the target product.

[0050] Specifically, the sales data is determined based on the analysis results of the historical sales records of the target product.

[0051] It should be noted that if Figure 2 As shown, the method for determining the associated users of the target product is:

[0052] Determine the products whose purchase times are greater than a preset purchase times based on the purchase data of the purchasing user for the target product and related products, and use them as the products to be screened for purchase;

[0053] Determine the products whose browsing times are greater than a preset browsing times based on the browsing data of the purchasing user on the target product and related products, and use them as the products to be screened for browsing;

[0054] The user association coefficient between the purchasing user and the target product is determined according to the number of the filtered purchased products and the filtered browsed products, and the user association coefficient is used to determine whether the purchasing user is an associated user of the target product.

[0055] It can be understood that the user association coefficient is determined according to the average value of the proportion of the filtered purchased products in the associated products and the proportion of the filtered browsed products in the associated products.

[0056] Furthermore, the value range of the user association coefficient is between 0 and 1, wherein when the user association coefficient of the purchasing user is greater than a preset association coefficient, the purchasing user is determined to be an associated user of the target product.

[0057] Optionally, the method for determining the associated users of the target product is:

[0058] Determine the total number of purchases of the target product and related products by the purchasing user based on the purchasing data of the target product and related products by the purchasing user, and use it as the total number of product purchases;

[0059] Determine the total number of times the purchasing user browses the target product and related products based on the browsing data of the purchasing user on the target product and related products, and use it as the total number of product browsing times;

[0060] The user association coefficient between the purchasing user and the target product is determined according to the total number of times the product is purchased and the total number of times the product is browsed, and the user association coefficient is used to determine whether the purchasing user is an associated user of the target product.

[0061] In another embodiment, the method for determining the associated users of the target product is:

[0062] S11 determines the total number of purchases of the target product and related products by the purchasing user based on the purchasing data of the purchasing user for the target product and related products, determines the total number of views of the target product and related products by the purchasing user based on the browsing data of the purchasing user for the target product and related products, and determines a basic correlation coefficient based on the total number of purchases and the total number of views;

[0063] Optionally, the above step S11 includes the following contents:

[0064] S111 determines the total number of purchases of the target product and the associated products by the purchasing user based on the purchasing data of the target product and the associated products. When the total number of purchases is less than a preset purchase number threshold, it is determined that the purchasing user does not belong to the associated users of the target product. When the total number of purchases is not less than the preset purchase number threshold, the process proceeds to step S112.

[0065] S112: When the total number of purchases of the target product and related products by the purchasing user is within the preset purchase frequency range, the process proceeds to step S113; when the total number of purchases of the target product and related products by the purchasing user is not within the preset purchase frequency range, the process proceeds to step S114;

[0066] S113 determines the total number of times the purchasing user browses the target product and the associated products based on the browsing data of the purchasing user on the target product and the associated products. When the total number of times is within a preset browsing number range, it is determined that the purchasing user is not an associated user of the target product. When the total number of times is not within the preset browsing number range, the process proceeds to step S114.

[0067] S114 determines the basic correlation coefficient according to the total number of purchases and the total number of browsings, and proceeds to step S12.

[0068] S12 determines the number of times the purchasing user browses different commodities based on the browsing data of the target commodity and related commodities, and determines commodity correlation coefficients of different commodities based on the number of times the purchasing user purchases the different commodities;

[0069] Optionally, the above step S12 includes the following contents:

[0070] S121: When the basic correlation coefficient is less than the preset correlation coefficient threshold, the process proceeds to step S122; when the basic correlation coefficient is not less than the preset correlation coefficient threshold, the process proceeds to step S124;

[0071] S122: if it is determined that there is no commodity with a purchase frequency greater than the preset purchase frequency based on the purchase frequency of the purchasing user for different commodities, then the process proceeds to step S123; if there is a commodity with a purchase frequency greater than the preset purchase frequency, then the process proceeds to step S124;

[0072] S123 determines the browsing times of different commodities based on the browsing data of the purchasing user on the target commodity and related commodities. When there is no commodity with a browsing time greater than a preset browsing time, it is determined that the purchasing user is not a user associated with the target commodity. When there is a commodity with a browsing time less than the preset browsing time, the process proceeds to step S124.

[0073] S124 determines the product association coefficients of different products according to the number of views and purchases of different products. When there is no product with a product association coefficient greater than a preset product coefficient threshold, it is determined that the purchasing user does not belong to the associated user of the target product. When there is a product with a product association coefficient greater than the preset product coefficient threshold, it goes to step S13.

[0074] S13 determines the user association coefficient between the purchasing user and the target product according to the product association coefficients of different products and the basic association coefficient, and uses the user association coefficient to determine whether the purchasing user is an associated user of the target product.

[0075] It should be noted that if Figure 3 As shown, the method for determining the activity type of the associated user is:

[0076] Determine the number of purchases made by the associated user on the shopping platform based on the associated user's shopping data on the shopping platform;

[0077] The activity type of the associated user is determined according to the number of purchases made by the associated user on the shopping platform.

[0078] Further, determining the activity type of the associated user according to the number of purchases made by the associated user on the shopping platform specifically includes:

[0079] The preset activity type corresponding to the number of purchases on the shopping platform is determined, and the activity type of the associated user is determined using the preset activity type.

[0080] It is understandable that if Figure 4 As shown, the method for determining the target commodity association coefficient of the target commodity is:

[0081] Determine activity weight coefficients of different associated users based on different activity types of associated users;

[0082] Determine the modified correlation coefficients of different associated users according to the activity weight coefficients of different associated users and the commodity correlation coefficients;

[0083] The target commodity association coefficient of the target commodity is determined by the sum of the modified association coefficients of different associated users.

[0084] Furthermore, the target commodity correlation coefficient of the target commodity ranges from 0 to 1, wherein when the target commodity correlation coefficient of the target commodity is greater than a preset correlation threshold, it is determined that a preset strategy needs to be adopted for supply chain tracking and management.

[0085] Optionally, the method for determining the target commodity association coefficient of the target commodity is:

[0086] Determine the number of associated users in different activity types according to different activity types of associated users, and use the number of associated users in different activity types to preset the number of associated users in the activity types;

[0087] Determine the sum of the association coefficients of the preset activity type according to the number of associated users in the preset activity type and the commodity association coefficients of different associated users, and use the sum of the association coefficient weights as the sum of the association coefficients;

[0088] The target commodity association coefficient of the target commodity is determined by summing the association coefficient weights.

[0089] In another embodiment, the method for determining the target commodity association coefficient of the target commodity is:

[0090] S21 obtains commodity association coefficients of different associated users, and determines the number of associated users in different activity types according to different activity types of associated users;

[0091] Optionally, the above step S21 includes the following contents:

[0092] S211: obtaining the number of associated users of the target product. When the number of associated users of the target product is greater than the preset number of associated users, it is determined that the target product needs to adopt the preset strategy for supply chain tracking and management. When the number of associated users of the target product is not greater than the preset number of associated users, the process proceeds to step S212.

[0093] S212 determines associated users whose product association coefficients are greater than a preset product association coefficient threshold value based on the product association coefficients of different associated users, and uses them as screened associated users. When the number of screened associated users does not meet the requirement, it is determined that the target product needs to adopt a preset strategy for supply chain tracking and management. When the number of screened associated users meets the requirement, the process proceeds to step S213.

[0094] S213 determines the number of associated users in different activity types based on the activity types of different associated users. When the number of associated users of a preset activity type is greater than a preset user number threshold, it is determined that the target product needs to adopt a preset strategy for supply chain tracking and management. When the number of associated users of the preset activity type is not greater than the preset user number threshold, proceed to step S22.

[0095] S22 determines the comprehensive correlation coefficients of different activity types according to the number of associated users in different activity types and the correlation coefficients, and determines the preset activity coefficients of different activity types;

[0096] Optionally, the above step S22 includes the following contents:

[0097] S221 determines the comprehensive correlation coefficients of different activity types based on the number of associated users in different activity types and the correlation coefficients. When the comprehensive correlation coefficient of a preset activity type is greater than a preset comprehensive coefficient threshold, it is determined that the target product needs to adopt a preset strategy for supply chain tracking and management. When the comprehensive correlation coefficient of the preset activity type is greater than the preset comprehensive coefficient threshold, the process proceeds to step S222;

[0098] S222: Determine preset activity coefficients of different activity types, and determine corrected correlation coefficients of different activity types in combination with comprehensive correlation coefficients of different activity types. When there is an activity type whose corrected correlation coefficient is greater than the preset correction coefficient, proceed to step S223; when there is no activity type whose corrected correlation coefficient is greater than the preset correction coefficient, proceed to step S23;

[0099] S223 When the number of activity types whose corrected correlation coefficient is greater than the preset correction coefficient is greater than the preset number of types, it is determined that the target product needs to adopt the preset strategy for supply chain tracking and management. When the number of activity types whose corrected correlation coefficient is greater than the preset correction coefficient is not greater than the preset number of types, proceed to step S23.

[0100] S23 determines the target commodity correlation coefficient of the target commodity based on the comprehensive correlation coefficients of different activity types and the preset activity coefficient.

[0101] It should be noted that the cargo damage data of the target commodity during transportation includes the cargo damage rate and cargo damage amount in different transportation times.

[0102] Furthermore, the cargo damage data is used to determine that it is not necessary to adopt a preset strategy for supply chain tracking and management, specifically including:

[0103] Determine the cargo damage rate in different transport times based on the analysis results of the cargo damage data;

[0104] Using the cargo damage rate to calculate the number of transports with a cargo damage rate greater than the preset cargo damage rate, and use it as the number of cargo damage transports;

[0105] Determine whether to adopt a preset strategy for supply chain tracking and management based on the number of damaged cargo transportations.

[0106] It is understandable that when the number of damaged goods transportation is greater than a preset transportation number threshold, it is determined that the target commodity needs to adopt a preset strategy for supply chain tracking and management.

[0107] Specifically, the method for determining the supply chain tracking and management strategy of the target product is:

[0108] Using the transportation data of the target commodity during transportation, determining the transportation mileage of the target commodity using different types of transportation modes, and determining the transportation risk coefficient of the target commodity according to the transportation mileage of the different types of transportation modes;

[0109] Determine an average cargo damage rate of the target commodity based on cargo damage data of the target commodity during transportation;

[0110] The management demand coefficient of the target commodity is determined by the average cargo damage rate, the transportation risk coefficient and the target commodity matching coefficient, and the supply chain tracking and management strategy of the target commodity is determined based on the management demand coefficient.

[0111] Furthermore, the supply chain tracking and management strategy of the target product is determined based on the management demand coefficient, specifically including:

[0112] Based on the demand coefficient interval in which the management demand coefficient is located, the matching strategy corresponding to the demand coefficient interval is used to determine the supply chain tracking and management strategy of the target commodity.

[0113] It should be noted that the preset strategy is to install an Internet of Things monitoring device on the target goods and transportation vehicles to track and manage the supply chain.

[0114] It can be understood that the supply chain tracking and management strategy of the target commodity includes setting up an Internet of Things monitoring device on the target commodity and the transportation vehicle for supply chain tracking and management, setting up an Internet of Things monitoring device only on the transportation vehicle for supply chain tracking and management, and not setting up an Internet of Things monitoring device for supply chain tracking and management.

[0115] Embodiment 2 In the second aspect, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned supply chain tracking and management method when running the computer program.

[0116] In another embodiment, using the cargo damage data to determine that there is no need to adopt a preset strategy for supply chain tracking and management specifically includes:

[0117] Determine the cargo damage rates in different transport times based on the analysis results of the cargo damage data, determine the average value of the cargo damage rates in different transport times based on the cargo damage rates in different transport times, and when the average value of the cargo damage rates in different transport times does not meet the requirements, determine that a preset strategy needs to be adopted for supply chain tracking and management;

[0118] When the average value of cargo damage rate of different transport times meets the requirements:

[0119] When there is no transportation with a cargo damage rate greater than the preset cargo damage rate, it is determined that there is no need for a preset strategy for supply chain tracking and management;

[0120] When there are transport times with a cargo damage rate greater than the preset cargo damage rate:

[0121] The cargo damage rate is used to calculate the number of transportations with a cargo damage rate greater than a preset cargo damage rate, and the number is used as the number of cargo damage transportations. When the number of cargo damage transportations does not meet the requirement, it is determined that a preset strategy is required for supply chain tracking and management;

[0122] When the number of damaged cargo transportations meets the requirements:

[0123] Determine the cargo damage coefficients for different transport times according to the cargo damage rates and cargo damage quantities for different transport times. When the average value of the cargo damage coefficients for different transport times does not meet the requirements, it is determined that a preset strategy needs to be adopted for supply chain tracking and management.

[0124] When the average value of cargo damage coefficients of different transport times meets the requirements:

[0125] The number of transportations with severe cargo damage is determined by using cargo damage coefficients of different transportation times. When the number of transportations with severe cargo damage does not meet the requirements, it is determined that a preset strategy is required for supply chain tracking and management;

[0126] When the number of severe cargo damage transports meets the requirements:

[0127] A comprehensive cargo damage coefficient is determined based on the cargo damage coefficients of different transport times, and the comprehensive cargo damage coefficient is used to determine whether a preset strategy needs to be adopted for supply chain tracking and management.

[0128] 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.

[0129] 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.

[0130] 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 supply chain tracking and management method, characterized in that: Specifically include: Determine the purchasers of the target product and the associated products based on the sales data of the target product and the associated products on the shopping platform, and determine the associated users of the target product and the user association coefficients of the associated users based on the purchase data and browsing data of the target product and the associated products by the purchasing users; Determine different activity types of associated users according to shopping data of different associated users on the shopping platform, and determine the commodity association coefficient of the target commodity in combination with the user association coefficient of the different associated users. When it is determined by using the commodity association coefficient of the target commodity that it is not necessary to adopt a preset strategy for supply chain tracking and management, proceed to the next step; Determine the cargo damage data of the target commodity during transportation according to the supply chain data of the target commodity, and when it is determined by using the cargo damage data that it is not necessary to adopt a preset strategy for supply chain tracking and management, determine the supply chain tracking and management strategy of the target commodity by using the transportation data, cargo damage data of the target commodity during transportation and the commodity correlation coefficient of the target commodity; Purchasing users whose user association coefficient is greater than a preset threshold are associated users; When the commodity correlation coefficient of the target commodity is less than the set threshold, it is determined that the preset strategy does not need to be adopted for supply chain tracking and management; when the commodity correlation coefficient of the target commodity is not less than the set threshold, it is determined that the preset strategy needs to be adopted for supply chain tracking and management; Determine the products whose purchase times are greater than a preset purchase times based on the purchase data of the purchasing user for the target product and related products, and use them as the products to be screened for purchase; Determine the products whose browsing times are greater than a preset browsing times based on the browsing data of the purchasing user on the target product and related products, and use them as the products to be screened for browsing; The user association coefficient is determined according to the average value of the proportion of the filtered purchased products in the associated products and the proportion of the filtered browsed products in the associated products; The method for determining the supply chain tracking and management strategy of the target product is: Using the transportation data of the target commodity during transportation, determining the transportation mileage of the target commodity using different types of transportation modes, and determining the transportation risk coefficient of the target commodity according to the transportation mileage of the different types of transportation modes; Determine an average cargo damage rate of the target commodity based on cargo damage data of the target commodity during transportation; Determine the management demand coefficient of the target commodity by using the average cargo damage rate, the transportation risk coefficient and the commodity correlation coefficient, and determine the supply chain tracking and management strategy of the target commodity based on the management demand coefficient; The supply chain tracking and management strategies for the target commodity include setting up an Internet of Things monitoring device on the target commodity and the transport vehicle for supply chain tracking and management, setting up an Internet of Things monitoring device only on the transport vehicle for supply chain tracking and management, and not setting up an Internet of Things monitoring device for supply chain tracking and management.

2. The supply chain tracking and management method according to claim 1, characterized in that: The associated products are determined according to the target product type and the target customer group of the target product.

3. The supply chain tracking and management method according to claim 1, characterized in that: The sales data is determined based on the analysis results of the historical sales records of the target product.

4. The supply chain tracking and management method according to claim 1, characterized in that: The method for determining the associated users of the target product is: Determine the products whose purchase times are greater than a preset purchase times based on the purchase data of the purchasing user for the target product and related products, and use them as the products to be screened for purchase; Determine the products whose browsing times are greater than a preset browsing times based on the browsing data of the purchasing user on the target product and related products, and use them as the products to be screened for browsing; The user association coefficient between the purchasing user and the target product is determined according to the number of the filtered purchased products and the filtered browsed products, and the user association coefficient is used to determine whether the purchasing user is an associated user of the target product.

5. The supply chain tracking and management method according to claim 4, characterized in that: The user association coefficient is determined according to an average value of the proportion of the filtered purchased products in the associated products and the proportion of the filtered browsed products in the associated products.

6. The supply chain tracking and management method according to claim 1, characterized in that: The value range of the user association coefficient is between 0 and 1, wherein when the user association coefficient of the purchasing user is greater than a preset association coefficient, the purchasing user is determined to be an associated user of the target product.

7. The supply chain tracking and management method according to claim 1, characterized in that: The cargo damage data of the target commodity during transportation includes the cargo damage rate and cargo damage amount in different transportation times.

8. The supply chain tracking and management method according to claim 1, characterized in that: Using the cargo damage data to determine that it is not necessary to adopt a preset strategy for supply chain tracking and management, specifically including: Determine the cargo damage rate in different transport times based on the analysis results of the cargo damage data; Using the cargo damage rate to calculate the number of transports with a cargo damage rate greater than the preset cargo damage rate, and use it as the number of cargo damage transports; Determine whether to adopt a preset strategy for supply chain tracking and management based on the number of damaged cargo transportations.

9. The supply chain tracking and management method according to claim 1, characterized in that: The preset strategy is to install an Internet of Things monitoring device on the target product and the transport vehicle to track and manage the supply chain.

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 the processor executes a supply chain tracking and management method as described in any one of claims 1 to 9 when running the computer program.

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