Multi-dimensional optimization method and system for makeup transaction supply chain service platform

Abstract

The invention relates to the technical field of e-commerce operation management, and discloses a multi-dimensional optimization method and system for a makeup transaction supply chain service platform, and the method comprises the steps: analyzing market positioning elements corresponding to makeup products of the supply chain service platform, determining the application situation ecology of the makeup products, and formulating a product putting sequence corresponding to the makeup products; calculating logistics transportation expenditure of the beauty makeup products in the supply process; calculating a supply constant index corresponding to the supplier of the beauty makeup product, calculating a market demand variation coefficient corresponding to the beauty makeup product, and evaluating the supply health degree of the beauty makeup product; formulating an inventory management strategy of the beauty makeup products; and extracting track participation features and re-purchase behavior features in the user behavior track data, calculating user loyalty of the beauty and makeup transaction supply chain service platform, and executing optimization adjustment on the beauty and makeup transaction supply chain service platform to obtain a platform optimization result. According to the invention, the optimization efficiency of the beauty transaction supply chain service platform can be improved.

Description

Technical Field

[0001] The present invention relates to a multi-dimensional optimization method and system for a beauty and cosmetics transaction supply chain service platform, belonging to the technical field of e-commerce operation management. Background Art

[0002] In today's era of consumption upgrading, the beauty industry is showing a booming development trend. Consumers' demands for beauty products are becoming increasingly diversified. They not only pursue basic product functions, such as whitening, moisturizing, and concealing, but also have higher requirements for product quality, brand culture, and personalized services. At the same time, competition in the beauty market is becoming increasingly fierce, new brands are constantly emerging, and the speed of product updates is accelerating, which makes the beauty transaction supply chain face unprecedented challenges.

[0003] Most of the existing beauty and cosmetics transaction supply chains adopt traditional operating models. In terms of supplier management, they mainly rely on manual evaluation and limited cooperation experience to select suppliers, and lack a comprehensive and dynamic evaluation system for suppliers. For example, they only decide on cooperation partners through simple price comparisons and preliminary quality inspections, but lack in-depth understanding of other aspects of suppliers. In the logistics and distribution link, fixed logistics partners and distribution routes are usually used, and simple goods are distributed according to the order volume. This method does not fully consider the differences in logistics timeliness in different regions, the special transportation requirements of beauty and cosmetics products (such as temperature and humidity sensitivity), and the dynamic changes in logistics costs. In terms of users, there is a lack of in-depth mining and analysis of user behavior data, making it difficult to achieve precise marketing and personalized services, which in turn leads to low optimization efficiency of the beauty and cosmetics transaction supply chain service platform. Summary of the invention

[0004] The present invention provides a multi-dimensional optimization method and system for a beauty and cosmetics transaction supply chain service platform, the main purpose of which is to improve the optimization efficiency of the beauty and cosmetics transaction supply chain service platform.

[0005] To achieve the above objectives, the present invention provides a multi-dimensional optimization method for a beauty transaction supply chain service platform, comprising:

[0006] Obtaining beauty product information on the beauty transaction supply chain service platform, analyzing the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determining the application scenario ecology of the beauty products based on the market positioning factors, collecting the inventory information of the beauty products, and formulating a product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information;

[0007] Calculate the logistics and transportation expenses of the beauty products during the supply process, and count the product storage expenses of the beauty products during the warehousing process, and determine the comprehensive supply expenses of the beauty products by combining the logistics and transportation expenses and the product storage expenses;

[0008] Record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient;

[0009] Determine the inventory replenishment amount of the beauty product in combination with the inventory information and the comprehensive supply expenditure, and formulate an inventory management strategy for the beauty product in combination with the supply health and the inventory replenishment amount;

[0010] The user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform is recorded, and the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data are extracted. The user loyalty of the beauty and cosmetics transaction supply chain service platform is calculated based on the trajectory participation characteristics and the repurchase behavior characteristics. According to the user loyalty and the inventory management strategy, a promotion strategy for the beauty and cosmetics products is formulated. In combination with the promotion strategy and the product launch sequence, the beauty and cosmetics transaction supply chain service platform is optimized and adjusted to obtain a platform optimization result.

[0011] Optionally, analyzing the market positioning factors corresponding to the beauty products of the supply chain service platform based on the beauty product information includes:

[0012] Performing information cleaning on the beauty product information to obtain target product information;

[0013] Performing clustering processing on the target product information to obtain clustered product information;

[0014] Performing category feature extraction on the clustered product information to obtain product category features, and extracting common category features from the product category features;

[0015] Based on the common category characteristics, the market positioning factors corresponding to the beauty products of the supply chain service platform are analyzed.

[0016] Optionally, extracting common category features from the product category features includes:

[0017] Calculating the Gini impurity corresponding to the product category feature, and screening the product category feature based on the Gini impurity to obtain key category features;

[0018] Performing vectorization processing on the key category features to obtain a category feature vector;

[0019] Calculating the vector similarity between the category feature vectors, and extracting similar category features from the key category features based on the vector similarity;

[0020] Based on the similar category features, common category features in the product category features are obtained.

[0021] Optionally, the calculation of the logistics and transportation expenses of the cosmetics product during the supply process includes:

[0022] Collecting the logistics and transportation data of the beauty products during the supply process, and determining the product transportation tools and transportation mileage of the beauty products based on the logistics and transportation data;

[0023] Query the transportation charging rules corresponding to the transportation tool of the product, and count the product weight corresponding to the beauty product;

[0024] In combination with the transportation charging rules, the product weight and the transportation mileage, the transportation expenses corresponding to the product transportation tool are calculated by the following formula:

[0025] A=B+D 2 ×α d +E 2 ×α e +D×α d ×E×α e

[0026] Among them, A represents the transportation cost of the product transportation tool, B represents the basic transportation cost, D represents the product weight, α d represents the additional expenditure per unit weight in the transportation charging rules, E represents the transportation mileage, α e It indicates the additional expenditure per unit mileage in the transportation charging rules;

[0027] Based on the tool transportation expenses, calculate the logistics transportation expenses of the beauty products during the supply process.

[0028] Optionally, the counting of storage expenses of the cosmetic products during the storage process includes:

[0029] Scheduling a warehouse lease contract for the cosmetics product, and calculating the warehouse lease expenses corresponding to the cosmetics product based on the warehouse lease contract;

[0030] Obtaining product ingredients and storage environment requirements corresponding to the cosmetic product, and calculating a storage difficulty coefficient corresponding to the cosmetic product based on the product ingredients and the storage environment requirements;

[0031] Querying the product storage fee corresponding to the beauty product, and calculating the product storage expenditure corresponding to the beauty product based on the storage difficulty coefficient and the product storage fee;

[0032] Combined with the product storage expenses and the warehouse rental expenses, the product storage expenses of the beauty products during the warehousing process are counted.

[0033] Optionally, the calculating, based on the product purchase data, a supply constancy index corresponding to the supplier of the beauty product includes:

[0034] Performing time series processing on the product incoming goods data to obtain incoming goods time series data;

[0035] Extracting the incoming goods timing points corresponding to the incoming goods timing data, calculating the difference between adjacent timing points in the incoming goods timing points, and obtaining the incoming goods timing interval;

[0036] Calculate the interval standard deviation and interval mean value corresponding to the incoming goods time sequence interval respectively;

[0037] Combining the interval standard deviation and the interval mean, the supply constancy index corresponding to the supplier of the cosmetics product is calculated by the following formula:

[0038]

[0039] Among them, F represents the supply constant index corresponding to the supplier of beauty products, σ ​​represents the interval standard deviation, and μ represents the interval mean.

[0040] Optionally, the calculating the market demand variation coefficient corresponding to the beauty product based on the product sales data includes:

[0041] Identifying a product sales cycle in the product sales promotion data, and determining a product sales volume of the beauty product within the product sales cycle based on the product sales data;

[0042] Based on the product sales volume, calculating the sales volume variation rate between adjacent cycles in the product sales cycle, and based on the sales volume variation rate, calculating the average variation rate of the beauty product;

[0043] Combining the sales volume variation rate and the average variation rate, the market demand variation coefficient corresponding to the beauty product can be calculated by the following formula:

[0044]

[0045] Among them, G represents the coefficient of variation of market demand for beauty products, H a represents the a-th sales volume variation rate, represents the average mutation rate, a represents the serial number corresponding to the sales volume mutation rate, and q represents the number of sales volume mutation rates.

[0046] Optionally, extracting the track participation features and repurchase behavior features from the user behavior track data includes:

[0047] Identify a user ID in the user behavior trajectory data, and aggregate the user behavior trajectory data based on the user ID to obtain behavior trajectory aggregate data;

[0048] Extracting a data descriptor corresponding to the behavior trajectory aggregate data, and analyzing a behavior trajectory definition corresponding to the behavior trajectory aggregate data based on the data descriptor;

[0049] Based on the behavior trajectory definition, setting a trajectory participation identifier and a purchase behavior identifier corresponding to the behavior trajectory aggregate data;

[0050] Based on the behavior trajectory aggregation data, the features corresponding to the trajectory participation identifier and the purchase behavior identifier are counted respectively to obtain trajectory participation features and repurchase behavior features.

[0051] Optionally, the calculating the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation feature and the repurchase behavior feature includes:

[0052] Quantifying the trajectory participation feature and the repurchase behavior feature respectively to obtain a trajectory participation feature value and a repurchase behavior feature value;

[0053] Collect user feedback information from the beauty and cosmetics transaction supply chain service platform, and extract sentiment-related feedback information from the user feedback information;

[0054] Based on the emotion-related feedback information, analyzing the emotional tendencies of users on the beauty and cosmetics transaction supply chain service platform, and setting an emotional score value corresponding to the emotional tendencies of the users;

[0055] The user loyalty of the beauty and cosmetics transaction supply chain service platform is calculated by combining the sentiment score value, the trajectory participation feature value and the repurchase behavior feature value.

[0056] In order to solve the above problems, the present invention also provides a multi-dimensional optimization system for a beauty transaction supply chain service platform, the system comprising:

[0057] A product launch sequence formulation module is used to obtain beauty product information on the beauty transaction supply chain service platform, analyze the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determine the application scenario ecology of the beauty products based on the market positioning factors, collect the inventory information of the beauty products, and formulate the product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information;

[0058] A module for determining the comprehensive supply expenditure, which is used to calculate the logistics and transportation expenditure of the beauty products in the supply process, and to count the product storage expenditure of the beauty products in the warehousing process, and to determine the comprehensive supply expenditure of the beauty products by combining the logistics and transportation expenditure and the product storage expenditure;

[0059] A supply health evaluation module is used to record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient;

[0060] An inventory management strategy formulation module, used to determine the inventory replenishment amount of the beauty product in combination with the inventory information and the comprehensive supply expenditure, and formulate an inventory management strategy for the beauty product in combination with the supply health and the inventory replenishment amount;

[0061] The platform optimization and adjustment module is used to record the user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform, extract the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data, calculate the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics, formulate the promotion strategy of the beauty and cosmetics products according to the user loyalty and the inventory management strategy, and optimize and adjust the beauty and cosmetics transaction supply chain service platform in combination with the promotion strategy and the product launch sequence to obtain the platform optimization result.

[0062] Compared with the problems described in the background technology, the present invention analyzes the market positioning factors corresponding to the beauty products of the supply chain service platform based on the beauty product information, so as to accurately grasp the needs of the target customer group, clarify the unique selling points of the products, and find the right positioning in the fierce competition in the beauty market. Furthermore, the present invention can clearly grasp the transportation economic expenditure of the beauty products in the supply process by calculating the logistics transportation expenditure and product storage expenditure, thereby providing an important basis for determining the subsequent comprehensive supply expenditure of the beauty products. The present invention can clearly understand the stability of the supplier's supply by calculating the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, so as to provide a reference for the future development of the beauty market. The subsequent evaluation of the supply health of the beauty products lays an important foundation. Furthermore, the present invention determines the inventory replenishment quantity of the beauty products by combining the inventory information and the comprehensive supply expenditure, which can comprehensively consider the existing inventory and supply cost of the product, so as to plan the inventory replenishment quantity more scientifically, and formulate the inventory management strategy of the beauty products based on the inventory replenishment quantity and the supply health, so as to improve the rationality and effectiveness of inventory management. Furthermore, the invention optimizes and adjusts the beauty transaction supply chain service platform by combining the promotion strategy and the product release sequence, obtains the platform optimization result, and then improves the optimization efficiency of the beauty transaction supply chain service platform. Therefore, the multi-dimensional optimization method and system of the beauty transaction supply chain service platform provided by the embodiment of the present invention can improve the optimization efficiency of the beauty transaction supply chain service platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A schematic diagram of a process flow of a multi-dimensional optimization method for a beauty and cosmetics transaction supply chain service platform provided by an embodiment of the present invention;

[0064] Figure 2 A schematic diagram of a module for implementing a multi-dimensional optimization method of the beauty transaction supply chain service platform provided in one embodiment of the present invention.

[0065] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0066] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0067] The embodiment of the present application provides a multi-dimensional optimization method for a beauty transaction supply chain service platform. The execution subject of the multi-dimensional optimization method for the beauty transaction supply chain service platform includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the multi-dimensional optimization method for the beauty transaction supply chain service platform can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0068] Embodiment 1:

[0069] Reference Figure 1 FIG. 1 is a flow chart of a multi-dimensional optimization method for a beauty and cosmetics transaction supply chain service platform provided by an embodiment of the present invention. In this embodiment, the multi-dimensional optimization method for a beauty and cosmetics transaction supply chain service platform includes:

[0070] S1. Obtain beauty product information on the beauty transaction supply chain service platform, analyze the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determine the application scenario ecology of the beauty products based on the market positioning factors, collect the inventory information of the beauty products, and formulate a product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information.

[0071] By analyzing the market positioning factors corresponding to the beauty products of the supply chain service platform based on the beauty product information, the present invention can accurately grasp the needs of the target customer group, clarify the unique selling points of the products, and find the correct positioning in the fierce competition in the beauty market.

[0072] It should be explained that the beauty product information includes detailed data such as product brand, efficacy, ingredients, price, packaging design, etc.; the market positioning elements refer to key factors that can clarify the position and competitive advantages of the beauty products in the market, such as target customer groups, market competition situation, and product unique selling points.

[0073] Specifically, based on the beauty product information, the market positioning elements corresponding to the beauty products of the supply chain service platform are analyzed, including:

[0074] Performing information cleaning on the beauty product information to obtain target product information;

[0075] Performing clustering processing on the target product information to obtain clustered product information;

[0076] Performing category feature extraction on the clustered product information to obtain product category features, and extracting common category features from the product category features;

[0077] Based on the common category characteristics, the market positioning factors corresponding to the beauty products of the supply chain service platform are analyzed.

[0078] It should be explained that the target product information is the accurate and usable information obtained after removing duplicate, erroneous, missing and irregularly formatted data from the beauty product information; the clustered product information is the information that groups beauty products with similar characteristics into one category after clustering key dimensional data such as product efficacy, price range, brand positioning, etc. in the target product information; the product category characteristics are the significant common characteristics of each type of clustered products in the clustered product information; and the common category characteristics are the key characteristics among the product category characteristics that can represent the characteristics of the product category.

[0079] Furthermore, the beauty product information can be cleaned by a data cleaning tool to obtain target product information; the target product information can be clustered by a cluster analysis algorithm to obtain cluster product information, such as a K-Means clustering algorithm; the cluster product information can be extracted by a word frequency statistics method to obtain product category features, and the text content in the cluster product information (such as product details, user reviews, etc.) can be segmented to count the frequency of each word. For example, in the clustering of moisturizing beauty products, words such as "hyaluronic acid", "glycerin", and "moisturizing factor" may appear frequently. These high-frequency words can be used as category features of this type of product; based on the common category features, the market positioning elements corresponding to the beauty products of the supply chain service platform are analyzed. For example, based on the common category features, the key information such as efficacy and ingredients is first referred to to determine which age group and skin type the beauty product is more suitable for, so as to lock in the target audience. Then compare the common category features of similar products on the market, clarify the uniqueness of their own products, such as unique ingredients, innovative packaging, etc., and then determine the competitive advantages and unique positioning of the products in the market.

[0080] Further, as an optional embodiment of the present invention, the extracting common category features from the product category features includes:

[0081] Calculating the Gini impurity corresponding to the product category feature, and screening the product category feature based on the Gini impurity to obtain key category features;

[0082] Performing vectorization processing on the key category features to obtain a category feature vector;

[0083] Calculating the vector similarity between the category feature vectors, and extracting similar category features from the key category features based on the vector similarity;

[0084] Based on the similar category features, common category features in the product category features are obtained.

[0085] It should be explained that the Gini impurity is an indicator corresponding to the product category feature that measures the degree of chaos in the distribution of different categories in the data set during classification. The lower the degree of chaos, the more advantageous the feature is in classification; the key category feature is some of the product category features that play a key role in product classification, positioning, etc. and can highlight the core characteristics of the product; the category feature vector is the key category feature that has been mathematically vectorized and converted into a form that can be calculated and analyzed in the vector space; the vector similarity represents the degree of similarity between the category feature vectors, which is measured by calculating the distance or angle between the vectors. The larger the value, the higher the similarity; the similar category features are those category features among the key category features that have high similarity and similar feature attributes in the vector space.

[0086] Furthermore, the Gini impurity calculation formula can be used, that is, the probability of two samples randomly selected from a node having inconsistent categories is calculated, so as to calculate the Gini impurity corresponding to the product category feature, and a threshold is set based on the Gini impurity, and the product category features with Gini impurity lower than the threshold are screened out to obtain key category features; the key category features can be vectorized by a word vector model to obtain a category feature vector; the vector similarity between the category feature vectors can be calculated by cosine similarity, and a similarity threshold is set based on the vector similarity, and when the vector similarity exceeds the threshold, similar category features in the key category features are extracted; the similar category features are the common category features in the product category features.

[0087] The present invention determines the application scenario ecology of the beauty products based on the market positioning factors, thereby understanding the applicable scenarios and consumer needs of the beauty products, collecting inventory information of the beauty products, and formulating a product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information, thereby effectively increasing product sales, reducing inventory backlogs, and enhancing the overall benefits of the supply chain and platform competitiveness.

[0088] It should be explained that the application scenario ecology is the usage environment and related factors of the beauty products in different scenarios, such as daily commuting, social gatherings, office work, outdoor sports and other scenarios, and consumers' demand and preference for beauty products; the inventory information includes data such as the existing inventory, replenishment cycle, inventory turnover rate and other data of the beauty products; the product launch sequence is the planned launch order and strategy of beauty products at different times and channels based on the results of the previous analyses. Furthermore, based on the market positioning elements, the target customer group needs and product characteristics are analyzed to determine the application scenario ecology of the beauty products. The inventory information of the beauty products can be collected by connecting to the supply chain management system. The application scenario ecology and the inventory information can be combined to comprehensively consider the scenario needs and inventory status to formulate the product launch sequence corresponding to the beauty products.

[0089] S2. Calculate the logistics and transportation expenses of the beauty products during the supply process, and count the product storage expenses of the beauty products during the warehousing process, and determine the comprehensive supply expenses of the beauty products by combining the logistics and transportation expenses and the product storage expenses.

[0090] By calculating the logistics and transportation expenses and product storage expenses, the present invention can clearly grasp the transportation economic expenses of the beauty products in the supply process, thereby providing an important basis for the subsequent determination of the comprehensive supply expenses of the beauty products. It should be explained that the logistics and transportation expenses are the transportation economic expenses of the beauty products in the supply process.

[0091] In detail, the calculation of the logistics and transportation expenses of the beauty products in the supply process includes:

[0092] Collecting the logistics and transportation data of the beauty products during the supply process, and determining the product transportation tools and transportation mileage of the beauty products based on the logistics and transportation data;

[0093] Query the transportation charging rules corresponding to the transportation tool of the product, and count the product weight corresponding to the beauty product;

[0094] In combination with the transportation charging rules, the product weight and the transportation mileage, the transportation expenses corresponding to the product transportation tool are calculated by the following formula:

[0095] A=B+D 2 xα d +E 2 ×α e +D×α d ×E×α e

[0096] Among them, A represents the transportation cost of the product transportation tool, B represents the basic transportation cost, D represents the product weight, αd represents the additional expenditure per unit weight in the transportation charging rules, E represents the transportation mileage, and α represents the additional expenditure per unit mileage in the transportation charging rules;

[0097] Based on the tool transportation expenses, calculate the logistics transportation expenses of the beauty products during the supply process.

[0098] It should be explained that the logistics and transportation data is the full transportation information record of the beauty products from the place of shipment to the place of receipt during the supply process, including transportation routes, transportation time, loading and unloading time, etc.; the product transportation tool is the carrying and transportation equipment of the beauty products, such as trucks, airplanes, ships, etc.; the transportation mileage is the actual transportation distance of the beauty products, that is, the length of the distance from the starting point to the end point; the transportation billing rules are the charging standards corresponding to the product transportation tools formulated according to factors such as the type of transportation tool, transportation distance, and cargo weight; the product weight is the actual physical weight of the beauty products, which is used to calculate the transportation cost and measure the carrying load of the transportation tool; the tool transportation expenses are the costs incurred by the product transportation tools to complete the transportation of beauty products, including basic freight, additional fees due to weight and mileage, etc.

[0099] Furthermore, the logistics and transportation data of the beauty products during the supply process can be collected through the logistics management system and the Internet of Things devices, and the product transportation tools and transportation mileage of the beauty products can be determined based on the logistics and transportation data through data analysis and matching algorithms; the transportation billing rules corresponding to the product transportation tools can be queried through the contract documents and price system documents signed with the transportation service provider, and the product weight corresponding to the beauty products can be counted by measuring with electronic scales and checking with the cargo list; the transportation expenses of the tools are summed to obtain the logistics and transportation expenses of the beauty products during the supply process.

[0100] The present invention can obtain the cost details of the beauty products in the warehousing link by counting the product storage expenses of the beauty products in the warehousing process, and determine the comprehensive supply expenses of the beauty products in combination with the logistics and transportation expenses and the product storage expenses, so as to facilitate the subsequent determination of the inventory replenishment amount of the beauty products. It should be explained that the product storage expenses are the sum of various expenses incurred by the beauty products in the warehousing process due to occupying storage space, using storage equipment, keeping goods and handling inventory losses; the comprehensive supply expenses are the total expenses incurred by all supply-related activities such as the logistics and transportation links and the warehousing links in the entire supply process of the beauty products, reflecting the total supply cost of the beauty products from the production site to the sales terminal. Furthermore, the logistics and transportation expenses and the product storage expenses are added together to obtain the comprehensive supply expenses of the beauty products.

[0101] In detail, the statistics of the storage expenses of the cosmetic products during the warehousing process include:

[0102] Scheduling a warehouse lease contract for the cosmetics product, and calculating the warehouse lease expenses corresponding to the cosmetics product based on the warehouse lease contract;

[0103] Obtaining product ingredients and storage environment requirements corresponding to the cosmetic product, and calculating a storage difficulty coefficient corresponding to the cosmetic product based on the product ingredients and the storage environment requirements;

[0104] Querying the product storage fee corresponding to the beauty product, and calculating the product storage expenditure corresponding to the beauty product based on the storage difficulty coefficient and the product storage fee;

[0105] Combined with the product storage expenses and the warehouse rental expenses, the product storage expenses of the beauty products during the warehousing process are counted.

[0106] It should be explained that the warehouse lease contract is a legally binding document signed between the beauty products and the warehouse owner or manager during the warehousing process, which clarifies the rights and obligations of the two parties to the lease, the lease term, the rent payment method, etc.; the warehouse lease expenses are the expenses incurred by the beauty products for leasing warehouse space during the storage period; the product ingredients and the storage environment requirements are respectively the various material ingredients contained in the beauty products themselves and the specific storage temperature, humidity, light and other external conditions required to ensure stable product quality and normal efficacy; the storage difficulty coefficient is a quantitative indicator reflecting the difficulty of storage of the beauty products based on a comprehensive assessment of factors such as their product ingredients, packaging form, shelf life and storage environment requirements; the product storage fee is the fee incurred by the beauty products during the warehousing process due to the need for storage operations (such as storage, handling, monitoring, etc.); the product storage expenses are the sum of various storage-related expenses actually incurred by the beauty products during the warehousing process.

[0107] Furthermore, the warehouse lease contract of the cosmetics product can be scheduled through the warehouse management system of the enterprise, and the warehouse lease expenses corresponding to the cosmetics product can be calculated based on the warehouse lease contract and the rent calculation terms in the contract; the product ingredients and storage environment requirements corresponding to the cosmetics product can be obtained through product research and development materials, production records and product manuals, and the storage difficulty coefficient corresponding to the cosmetics product can be calculated based on the product ingredients and the storage environment requirements, firstly, the product ingredients are analyzed, and the ingredient influence factor is calculated according to the stability of each ingredient and its proportion in the formula, and then the storage environment requirements are quantified, and the storage environment requirement factor is obtained by integrating factors such as temperature, humidity, light, and sealing, and finally, the ingredient influence factor and the storage environment requirement factor are weighted and summed according to a certain weight to obtain the storage difficulty coefficient; the product storage expenses corresponding to the cosmetics product can be queried through financial account records and expense settlement lists, and the product storage expenses corresponding to the cosmetics product can be calculated based on the storage difficulty coefficient and the product storage expenses according to the expenditure accounting formula associated with the two; the product storage expenses and the warehouse lease expenses are summed to obtain the product storage expenses of the cosmetics product during the warehousing process.

[0108] S3. Record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient.

[0109] The present invention calculates the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, so as to clearly understand the stability of the supplier's supply, and lays an important basis for the subsequent evaluation of the supply health of the beauty products.

[0110] It should be explained that the product purchase data refers to the relevant information of beauty products purchased from suppliers, including purchase time, purchase quantity, batch, etc.; the product sales data refers to the data generated during the promotion and sales of products in the market, covering sales time, sales volume, sales area, etc. The supply stability index is used to measure the stability of supplier supply, and the higher the index, the more stable the supply.

[0111] In detail, the calculating of the supply constant index corresponding to the supplier of the cosmetics product based on the product purchase data includes:

[0112] Performing time series processing on the product incoming goods data to obtain incoming goods time series data;

[0113] Extracting the incoming goods timing points corresponding to the incoming goods timing data, calculating the difference between adjacent timing points in the incoming goods timing points, and obtaining the incoming goods timing interval;

[0114] Calculate the interval standard deviation and interval mean value corresponding to the incoming goods time sequence interval respectively;

[0115] Combining the interval standard deviation and the interval mean, the supply constancy index corresponding to the supplier of the cosmetics product is calculated by the following formula:

[0116]

[0117] Among them, F represents the supply constant index corresponding to the supplier of beauty products, σ ​​represents the interval standard deviation, and μ represents the interval mean.

[0118] It should be explained that the incoming goods timing data is a set of incoming goods information arranged in chronological order after the product incoming goods data is processed in time series; the incoming goods timing point is the specific incoming goods time point information corresponding to the incoming goods timing data; the incoming goods timing interval is the difference between adjacent timing points in the incoming goods timing points; the interval standard deviation indicates the degree of discreteness corresponding to the incoming goods timing interval, reflecting the deviation between each incoming goods timing interval and the average incoming goods timing interval; the interval average indicates the average time interval length corresponding to the incoming goods timing interval, reflecting the average time interval between adjacent incoming goods operations.

[0119] Furthermore, the product arrival data can be arranged in time series by a time sorting algorithm to obtain arrival time series data; the arrival time series points corresponding to the arrival time series data can be extracted by a time series extraction algorithm, and the time series extraction algorithm is compiled by a programming language, such as JS scripting language; the interval standard deviation and interval average value corresponding to the arrival time series interval can be calculated respectively by a standard deviation function and an average function.

[0120] The present invention calculates the market demand variation coefficient corresponding to the beauty product based on the product sales data, so as to effectively grasp the fluctuation of the market demand for the beauty product. The supply health of the beauty product is evaluated by combining the supply constancy index and the market demand variation coefficient. The supply chain status of the beauty product can be understood through the supply health. It should be explained that the market demand variation coefficient reflects the fluctuation degree of market demand. The larger the coefficient is, the more severe the demand fluctuation is. The supply health indicates the quality of the overall supply status of the beauty product. Furthermore, combined with the supply constancy index, the supply health can be used to understand the supply chain status of the beauty product. The supply health of the beauty products is evaluated by the supply constancy index and the market demand variation coefficient. According to the supply characteristics of the beauty products, reasonable weights are set for the supply constancy index and the market demand variation coefficient, for example, 0.5 for each. The supply constancy index is multiplied by the corresponding weight, and the market demand variation coefficient is multiplied by the corresponding weight and the inverse is taken (because the smaller the variation coefficient, the healthier the supply). The two are added together to obtain the supply health value. If the supply constancy index is 0.8 and the market demand variation coefficient is 0.3, the supply health is 0.8×0.5+(1-0.3)×0.5=0.75. The higher the value, the better the supply health.

[0121] Specifically, the calculating the market demand variation coefficient corresponding to the beauty product based on the product sales data includes:

[0122] Identifying a product sales cycle in the product sales promotion data, and determining a product sales volume of the beauty product within the product sales cycle based on the product sales data;

[0123] Based on the product sales volume, calculating the sales volume variation rate between adjacent cycles in the product sales cycle, and based on the sales volume variation rate, calculating the average variation rate of the beauty product;

[0124] Combining the sales volume variation rate and the average variation rate, the market demand variation coefficient corresponding to the beauty product can be calculated by the following formula:

[0125]

[0126] Among them, G represents the coefficient of variation of market demand for beauty products, H a represents the a-th sales volume variation rate, represents the average mutation rate, a represents the serial number corresponding to the sales volume mutation rate, and q represents the number of sales volume mutation rates.

[0127] It should be explained that the product sales cycle is a statistical time period in the product sales data divided according to a certain time pattern, such as monthly, quarterly, etc., which is used to define the time range of data statistics; the product sales volume is the actual sales quantity of the beauty product during the product sales cycle, which directly reflects the market circulation of the product during this time period; the sales volume variation rate indicates the relative degree of sales volume change between adjacent cycles in the product sales cycle, which is used to measure the fluctuation of sales volume between adjacent cycles; the average variation rate indicates the average level of sales volume variation rate of the beauty product in multiple product sales cycles, which comprehensively reflects the general degree of sales volume fluctuation of the beauty product over a longer time span.

[0128] Furthermore, the product sales cycle in the product sales promotion data can be identified through OCR recognition technology, and the product sales volume of the beauty product in the product sales cycle can be determined based on the product sales data. First, the data is classified and sorted according to the product sales cycle based on the timestamp in the product sales data. For example, the data in each quarter is grouped together by quarter, and then the sales quantity recorded in each cycle is summarized and summed, so as to accurately determine the product sales volume of the beauty product in the product sales cycle;

[0129] Based on the product sales volume, the sales volume variation rate between adjacent cycles in the product sales cycle is calculated. The difference in sales volume between adjacent cycles is calculated and divided by the sales volume of the previous cycle in the adjacent cycles, and multiplied by 100% to obtain the sales volume variation rate between adjacent cycles in the product sales cycle. Based on the sales volume variation rate, the average variation rate of the beauty product can be calculated using the above-mentioned average function.

[0130] S4. Determine the inventory replenishment quantity of the beauty products in combination with the inventory information and the comprehensive supply expenditure, and formulate an inventory management strategy for the beauty products in combination with the supply health and the inventory replenishment quantity.

[0131] The present invention determines the inventory replenishment amount of the beauty product by combining the inventory information and the comprehensive supply expenditure, and can comprehensively consider the existing inventory and supply cost of the product, so as to plan the inventory replenishment amount more scientifically, and formulate the inventory management strategy of the beauty product based on the inventory replenishment amount and the supply health, so as to improve the rationality and effectiveness of inventory management. It should be explained that the inventory management strategy is a specific operation method for managing the inventory of beauty products. Further, the inventory replenishment amount of the beauty product is determined in combination with the inventory information and the comprehensive supply expenditure. The inventory information is first analyzed to clarify the difference between the current inventory quantity and the ideal inventory level, and then combined with the comprehensive supply expenditure, the replenishment cost and the inventory shortage risk are weighed under the premise of considering the cost constraint, so as to determine the inventory replenishment amount of the beauty product that can both meet the market demand and make the overall expenditure relatively reasonable; the steps of formulating the inventory management strategy of the beauty product in combination with the supply health and the inventory replenishment amount are as follows: Assuming that the inventory of beauty products is sufficient and the comprehensive supply expenditure is low, it means that the inventory is in good condition and the cost is controllable. At this time, the inventory replenishment volume can be appropriately reduced. Referring to past sales data and market forecasts, a low replenishment frequency can be maintained, such as once a month, replenishing 30% of the expected sales volume each time. The inventory and expenditure should be continuously monitored, stable cooperation with suppliers should be maintained, sales trends should be regularly evaluated, and the inventory management system should be used to improve inventory turnover, avoid backlogs, reduce storage costs, maintain the storage environment according to product characteristics, conduct regular inspections and reduce the frequency, and establish an inventory early warning mechanism. If the inventory is tight and the comprehensive supply expenditure is high, there may be shortages and high costs. The inventory replenishment volume needs to be increased, and emergency replenishment should be carried out according to market demand and sales trends, such as replenishing twice the expected sales volume at one time. Priority should be given to cooperating with high-quality suppliers to obtain discounts, strengthen real-time inventory monitoring, conduct daily inspections, re-evaluate the storage environment, upgrade facilities when necessary, introduce management software to accurately track inventory, strictly review the replenishment process, and deliver in batches when the replenishment volume is large, optimize logistics and reduce costs.

[0132] S5. Record the user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform, extract the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data, calculate the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics, formulate the promotion strategy of the beauty and cosmetics products according to the user loyalty and the inventory management strategy, and optimize and adjust the beauty and cosmetics transaction supply chain service platform in combination with the promotion strategy and the product launch sequence to obtain the platform optimization result.

[0133] The present invention can obtain the user's activity and loyalty tendency on the beauty and cosmetics transaction supply chain service platform by extracting the trajectory participation characteristics and repurchase behavior characteristics from the user behavior trajectory data, thereby facilitating the subsequent calculation and processing of user loyalty of the beauty and cosmetics transaction supply chain service platform. It should be explained that the user behavior trajectory data is a complete behavior record of various operations performed by users on the beauty and cosmetics transaction supply chain service platform, including a series of operation information such as browsing, searching, purchasing, and evaluating. The trajectory participation characteristics are the behavioral performance characteristics of users participating in various activities on the platform, such as browsing frequency, browsing time, search depth, etc., and the repurchase behavior characteristics are the characteristics of users' multiple purchase behaviors, such as repurchase cycle, repurchase frequency, repurchase product category, etc. Furthermore, the recording of user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform can be achieved through the platform's log system.

[0134] In detail, the extracting of the track participation features and the repurchase behavior features in the user behavior track data includes:

[0135] Identify a user ID in the user behavior trajectory data, and aggregate the user behavior trajectory data based on the user ID to obtain behavior trajectory aggregate data;

[0136] Extracting a data descriptor corresponding to the behavior trajectory aggregate data, and analyzing a behavior trajectory definition corresponding to the behavior trajectory aggregate data based on the data descriptor;

[0137] Based on the behavior trajectory definition, setting a trajectory participation identifier and a purchase behavior identifier corresponding to the behavior trajectory aggregate data;

[0138] Based on the behavior trajectory aggregation data, the features corresponding to the trajectory participation identifier and the purchase behavior identifier are counted respectively to obtain trajectory participation features and repurchase behavior features.

[0139] It should be explained that the user ID is a specific code used to uniquely identify the identity of each user in the user behavior trajectory data, and the behavior data of different users can be distinguished by this code; the behavior trajectory aggregate data is classified and integrated based on the user ID, and all behavior data of the same user are brought together to form a behavior data set based on users; the data descriptor is the attribute label or description corresponding to the behavior trajectory aggregate data, which is used to describe the characteristics, type and other information of the behavior in the aggregate data; the behavior trajectory definition is a general description of the specific behavior patterns, rules and characteristics corresponding to the behavior trajectory aggregate data analyzed based on the data descriptor; the trajectory participation identifier and the purchase behavior identifier are respectively set based on the behavior trajectory definition The corresponding marking symbols or fields of the behavior trajectory aggregate data are used to clearly indicate which behaviors in the data belong to trajectory participation behaviors and which behaviors belong to purchase behaviors.

[0140] Furthermore, the user ID in the user behavior trajectory data can be identified by the above-mentioned OCR recognition technology, and the user behavior trajectory data can be aggregated with the user ID as the index to obtain behavior trajectory aggregate data; the data descriptor corresponding to the behavior trajectory aggregate data can be extracted by a data parsing algorithm, such as a natural language processing algorithm, and based on the data descriptor, the behavior trajectory definition corresponding to the behavior trajectory aggregate data can be analyzed by a decision tree algorithm, such as a C4.5 or ID3 algorithm; based on the behavior trajectory definition, the trajectory participation identifier and the purchase behavior identifier corresponding to the behavior trajectory aggregate data are set, such as browsing a specific page, searching for a specific keyword, etc. in the definition. Trajectory participation means marking the corresponding records of these behaviors as trajectory participation identifiers in the behavior trajectory aggregation data; if the definition shows that adding to the shopping cart, completing payment, etc. represent purchasing behaviors, then the records of these behaviors are set as purchasing behavior identifiers to clearly distinguish different behavior types; based on the behavior trajectory aggregation data, the characteristics corresponding to the trajectory participation identifier and the purchasing behavior identifier can be counted separately through statistical analysis methods to obtain trajectory participation characteristics and repurchase behavior characteristics, and the frequency, time interval and other information of the occurrence of relevant data for the trajectory participation identifier and the purchasing behavior identifier can be counted separately, and the characteristics corresponding to the trajectory participation identifier and the purchasing behavior identifier can be counted separately to obtain trajectory participation characteristics and repurchase behavior characteristics.

[0141] The present invention calculates the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics. The user loyalty can be used to understand the depth of interaction between users and the platform and the degree of dependence on the beauty and cosmetics products, thereby providing a key basis for the platform to implement differentiated customer operations, rational allocation of resources and targeted marketing activities. It should be explained that the user loyalty indicates the degree of dependence of users of the beauty and cosmetics transaction supply chain service platform on the platform, the level of trust and the intensity of their willingness to continuously participate in platform transactions and interactions.

[0142] In detail, the calculating of user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics includes:

[0143] Quantifying the trajectory participation feature and the repurchase behavior feature respectively to obtain a trajectory participation feature value and a repurchase behavior feature value;

[0144] Collect user feedback information from the beauty and cosmetics transaction supply chain service platform, and extract sentiment-related feedback information from the user feedback information;

[0145] Based on the emotion-related feedback information, analyzing the emotional tendencies of users on the beauty and cosmetics transaction supply chain service platform, and setting an emotional score value corresponding to the emotional tendencies of the users;

[0146] The user loyalty of the beauty and cosmetics transaction supply chain service platform is calculated by combining the sentiment score value, the trajectory participation feature value and the repurchase behavior feature value.

[0147] It should be explained that the trajectory participation feature value and the repurchase behavior feature value are the specific numerical values ​​corresponding to the trajectory participation feature and the repurchase behavior feature after quantification processing, respectively, which are used to intuitively reflect the degree of the features; the user feedback information is the text, voice or other forms of evaluation and opinions actively provided by users of the beauty transaction supply chain service platform on various aspects such as products, services, shopping experience, etc.; the emotion-related feedback information is part of the user feedback information that can reflect the user's emotional attitude towards the platform and related products, such as sentences expressing satisfaction, dissatisfaction, love, disgust and other emotions; the user emotional tendency is the emotional attitude tendency shown by users of the beauty transaction supply chain service platform towards the platform as a whole, products, services, etc., which is divided into positive, negative or neutral categories; the emotional scoring value is the specific score assigned according to the pre-set scoring rules corresponding to the user's emotional tendency, so as to quantify the degree of the user's emotional tendency.

[0148] Furthermore, the trajectory participation feature and the repurchase behavior feature can be quantified respectively by means of a coding algorithm to obtain a trajectory participation feature value and a repurchase behavior feature value, such as a one-hot coding algorithm; user feedback information of the beauty and cosmetics transaction supply chain service platform can be collected by means of a questionnaire survey regularly pushed by the platform, and the sentiment-related feedback information in the user feedback information can be extracted by means of a sentiment dictionary matching method; based on the sentiment-related feedback information, the sentiment tendency of users of the beauty and cosmetics transaction supply chain service platform can be analyzed by means of a sentiment classification model, and a sentiment scoring value corresponding to the user sentiment tendency can be set to judge whether the user sentiment tendency is positive , negative or neutral, and assign scores respectively (such as 3 for positive, 1 for neutral, and -1 for negative); combine the emotional score value, the trajectory participation feature value and the repurchase behavior feature value to calculate the user loyalty of the beauty transaction supply chain service platform, first normalize the emotional score value, the trajectory participation feature value, and the repurchase behavior feature value, unify them into the same numerical range, and eliminate dimensional differences. Then, based on the experience of the beauty industry, set a fixed proportion for the three, such as 20% for the emotional score value, 30% for the trajectory participation feature value, and 50% for the repurchase behavior feature value, and take the weighted sum to get the user loyalty.

[0149] The present invention formulates a promotion strategy for the beauty products according to the user loyalty and the inventory management strategy, thereby facilitating the subsequent optimization and adjustment of the beauty transaction supply chain service platform. It should be explained that the promotion strategy is a method to increase the sales of the beauty products. Furthermore, a promotion strategy for the beauty products is formulated according to the user loyalty and the inventory management strategy. For example, for high-loyalty users, based on the inventory situation, a member-exclusive limited-edition beauty gift box can be launched to give back to users and clear inventory; for medium-loyalty users, combined with inventory pressure, full-discount activities are carried out to stimulate consumption; for low-loyalty users, if there is an inventory backlog, low-priced trial packs and discounted items are used to attract their purchases, thereby formulating a practical beauty product promotion strategy.

[0150] The present invention optimizes and adjusts the beauty and cosmetics transaction supply chain service platform by combining the promotion strategy and the product delivery sequence, thereby obtaining a platform optimization result, thereby improving the optimization efficiency of the beauty and cosmetics transaction supply chain service platform. Furthermore, according to the promotion strategy, in the product delivery sequence, the beauty and cosmetics products that are focused on promotion are preferentially and accurately delivered to the target user group. For example, popular cosmetics with limited-time discounts are placed on the platform homepage and in the personalized recommendation positions of highly active users. At the same time, the page layout is adjusted and the shopping process is optimized, thereby improving the user purchase conversion rate and the platform operation efficiency, and obtaining a platform optimization result.

[0151] Compared with the problems described in the background technology, the present invention analyzes the market positioning factors corresponding to the beauty products of the supply chain service platform based on the beauty product information, so as to accurately grasp the needs of the target customer group, clarify the unique selling points of the products, and find the right positioning in the fierce competition in the beauty market. Furthermore, the present invention can clearly grasp the transportation economic expenditure of the beauty products in the supply process by calculating the logistics transportation expenditure and product storage expenditure, thereby providing an important basis for determining the subsequent comprehensive supply expenditure of the beauty products. The present invention can clearly understand the stability of the supplier's supply by calculating the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, so as to provide a reference for the future development of the beauty market. The subsequent evaluation of the supply health of the beauty products lays an important foundation. Furthermore, the present invention determines the inventory replenishment quantity of the beauty products by combining the inventory information and the comprehensive supply expenditure, which can comprehensively consider the existing inventory and supply cost of the product, so as to plan the inventory replenishment quantity more scientifically, and formulate the inventory management strategy of the beauty products based on the inventory replenishment quantity and the supply health, so as to improve the rationality and effectiveness of inventory management. Furthermore, the invention optimizes and adjusts the beauty transaction supply chain service platform by combining the promotion strategy and the product release sequence, obtains the platform optimization result, and then improves the optimization efficiency of the beauty transaction supply chain service platform. Therefore, the multi-dimensional optimization method and system of the beauty transaction supply chain service platform provided by the embodiment of the present invention can improve the optimization efficiency of the beauty transaction supply chain service platform.

[0152] Embodiment 2:

[0153] like Figure 2 The figure shows a functional module diagram of a multi-dimensional optimization system of a beauty transaction supply chain service platform of the present invention.

[0154] The multi-dimensional optimization system 200 of the beauty and cosmetics transaction supply chain service platform described in the present invention can be installed in an electronic device. According to the functions implemented, the multi-dimensional optimization system of the beauty and cosmetics transaction supply chain service platform can include a product launch sequence formulation module 201, a supply comprehensive expenditure determination module 202, a supply health evaluation module 203, an inventory management strategy formulation module 204 and a platform optimization adjustment module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0155] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0156] The product launch sequence formulation module 201 is used to obtain beauty product information on the beauty transaction supply chain service platform, analyze the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determine the application scenario ecology of the beauty products based on the market positioning factors, collect the inventory information of the beauty products, and formulate the product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information;

[0157] The supply comprehensive expenditure determination module 202 is used to calculate the logistics and transportation expenditure of the beauty products in the supply process, and to count the product storage expenditure of the beauty products in the warehousing process, and to determine the supply comprehensive expenditure of the beauty products by combining the logistics and transportation expenditure and the product storage expenditure;

[0158] The supply health evaluation module 203 is used to record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient;

[0159] The inventory management strategy formulation module 204 is used to determine the inventory replenishment amount of the beauty product in combination with the inventory information and the comprehensive supply expenditure, and formulate the inventory management strategy of the beauty product in combination with the supply health and the inventory replenishment amount;

[0160] The platform optimization and adjustment module 205 is used to record the user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform, extract the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data, calculate the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics, formulate the promotion strategy of the beauty and cosmetics products according to the user loyalty and the inventory management strategy, and optimize and adjust the beauty and cosmetics transaction supply chain service platform in combination with the promotion strategy and the product launch sequence to obtain the platform optimization result.

[0161] In detail, each module in the multi-dimensional optimization system 200 of the beauty transaction supply chain service platform in the embodiment of the present invention is used in the same manner as above. Figure 1 The multi-dimensional optimization method of the beauty transaction supply chain service platform described in the text is the same technical means and can produce the same technical effects, so I will not go into details here.

[0162] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0163] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A multi-dimensional optimization method for a beauty and cosmetics transaction supply chain service platform, characterized in that: The method comprises: Obtaining beauty product information on the beauty transaction supply chain service platform, analyzing the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determining the application scenario ecology of the beauty products based on the market positioning factors, collecting the inventory information of the beauty products, and formulating a product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information; Calculate the logistics and transportation expenses of the beauty products during the supply process, and count the product storage expenses of the beauty products during the warehousing process, and determine the comprehensive supply expenses of the beauty products by combining the logistics and transportation expenses and the product storage expenses; Record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient; Determine the inventory replenishment amount of the beauty product in combination with the inventory information and the comprehensive supply expenditure, and formulate an inventory management strategy for the beauty product in combination with the supply health and the inventory replenishment amount; The user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform is recorded, and the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data are extracted. The user loyalty of the beauty and cosmetics transaction supply chain service platform is calculated based on the trajectory participation characteristics and the repurchase behavior characteristics. According to the user loyalty and the inventory management strategy, a promotion strategy for the beauty and cosmetics products is formulated. In combination with the promotion strategy and the product launch sequence, the beauty and cosmetics transaction supply chain service platform is optimized and adjusted to obtain a platform optimization result.

2. The multi-dimensional optimization method of the beauty and cosmetics transaction supply chain service platform according to claim 1, characterized in that: The analyzing, based on the beauty product information, the market positioning elements corresponding to the beauty products of the supply chain service platform includes: Performing information cleaning on the beauty product information to obtain target product information; Performing clustering processing on the target product information to obtain clustered product information; Performing category feature extraction on the clustered product information to obtain product category features, and extracting common category features from the product category features; Based on the common category characteristics, the market positioning factors corresponding to the beauty products of the supply chain service platform are analyzed.

3. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 2, characterized in that: The extracting common category features from the product category features includes: Calculating the Gini impurity corresponding to the product category feature, and screening the product category feature based on the Gini impurity to obtain key category features; Performing vectorization processing on the key category features to obtain a category feature vector; Calculating the vector similarity between the category feature vectors, and extracting similar category features from the key category features based on the vector similarity; Based on the similar category features, common category features in the product category features are obtained.

4. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 1, characterized in that: The calculation of the logistics and transportation expenses of the cosmetics products during the supply process includes: Collecting the logistics and transportation data of the beauty products during the supply process, and determining the product transportation tools and transportation mileage of the beauty products based on the logistics and transportation data; Query the transportation charging rules corresponding to the transportation tool of the product, and count the product weight corresponding to the beauty product; In combination with the transportation charging rules, the product weight and the transportation mileage, the transportation expenses corresponding to the product transportation tool are calculated by the following formula: A=B+D 2 ×α d +E 2 ×α e +D×α d ×E×α e Among them, A represents the transportation cost of the product transportation tool, B represents the basic transportation cost, D represents the product weight, α d represents the additional expenditure per unit weight in the transportation charging rules, E represents the transportation mileage, α e It indicates the additional expenditure per unit mileage in the transportation charging rules; Based on the tool transportation expenses, calculate the logistics transportation expenses of the beauty products during the supply process.

5. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 1, characterized in that: The statistics of product storage expenses of the cosmetic products during the warehousing process include: Scheduling a warehouse lease contract for the cosmetics product, and calculating the warehouse lease expenses corresponding to the cosmetics product based on the warehouse lease contract; Obtaining product ingredients and storage environment requirements corresponding to the cosmetic product, and calculating a storage difficulty coefficient corresponding to the cosmetic product based on the product ingredients and the storage environment requirements; Querying the product storage fee corresponding to the beauty product, and calculating the product storage expenditure corresponding to the beauty product based on the storage difficulty coefficient and the product storage fee; Combined with the product storage expenses and the warehouse rental expenses, the product storage expenses of the beauty products during the warehousing process are counted.

6. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 1, characterized in that: The calculating, based on the product purchase data, a supply constant index corresponding to the supplier of the cosmetics product, comprises: Performing time series processing on the product incoming goods data to obtain incoming goods time series data; Extracting the incoming goods timing points corresponding to the incoming goods timing data, calculating the difference between adjacent timing points in the incoming goods timing points, and obtaining the incoming goods timing interval; Calculate the interval standard deviation and interval mean value corresponding to the incoming goods time sequence interval respectively; Combining the interval standard deviation and the interval mean, the supply constancy index corresponding to the supplier of the cosmetics product is calculated by the following formula: Among them, F represents the supply constant index corresponding to the supplier of beauty products, σ ​​represents the interval standard deviation, and μ represents the interval mean.

7. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 1, characterized in that: The calculating the market demand variation coefficient corresponding to the beauty product based on the product sales data includes: Identifying a product sales cycle in the product sales promotion data, and determining a product sales volume of the beauty product within the product sales cycle based on the product sales data; Based on the product sales volume, calculating the sales volume variation rate between adjacent cycles in the product sales cycle, and based on the sales volume variation rate, calculating the average variation rate of the beauty product; Combining the sales volume variation rate and the average variation rate, the market demand variation coefficient corresponding to the beauty product can be calculated by the following formula: Among them, G represents the coefficient of variation of market demand for beauty products, H a represents the a-th sales volume variation rate, represents the average mutation rate, a represents the serial number corresponding to the sales volume mutation rate, and q represents the number of sales volume mutation rates.

8. The multi-dimensional optimization method of the beauty and cosmetics transaction supply chain service platform according to claim 1, characterized in that: The extracting of the track participation features and the repurchase behavior features from the user behavior track data includes: Identify a user ID in the user behavior trajectory data, and aggregate the user behavior trajectory data based on the user ID to obtain behavior trajectory aggregate data; Extracting a data descriptor corresponding to the behavior trajectory aggregate data, and analyzing a behavior trajectory definition corresponding to the behavior trajectory aggregate data based on the data descriptor; Based on the behavior trajectory definition, setting a trajectory participation identifier and a purchase behavior identifier corresponding to the behavior trajectory aggregate data; Based on the behavior trajectory aggregation data, the features corresponding to the trajectory participation identifier and the purchase behavior identifier are counted respectively to obtain trajectory participation features and repurchase behavior features.

9. The multi-dimensional optimization method of the beauty transaction supply chain service platform according to claim 1, characterized in that: The calculating of user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics includes: Quantifying the trajectory participation feature and the repurchase behavior feature respectively to obtain a trajectory participation feature value and a repurchase behavior feature value; Collect user feedback information from the beauty and cosmetics transaction supply chain service platform, and extract sentiment-related feedback information from the user feedback information; Based on the emotion-related feedback information, analyzing the emotional tendencies of users on the beauty and cosmetics transaction supply chain service platform, and setting an emotional score value corresponding to the emotional tendencies of the users; The user loyalty of the beauty and cosmetics transaction supply chain service platform is calculated by combining the sentiment score value, the trajectory participation feature value and the repurchase behavior feature value.

10. A multi-dimensional optimization system for a beauty and cosmetics transaction supply chain service platform, characterized in that: The system comprises: A product launch sequence formulation module is used to obtain beauty product information on the beauty transaction supply chain service platform, analyze the market positioning factors corresponding to the beauty products on the supply chain service platform based on the beauty product information, determine the application scenario ecology of the beauty products based on the market positioning factors, collect the inventory information of the beauty products, and formulate the product launch sequence corresponding to the beauty products in combination with the application scenario ecology and the inventory information; A module for determining the comprehensive supply expenditure, which is used to calculate the logistics and transportation expenditure of the beauty products in the supply process, and to count the product storage expenditure of the beauty products in the warehousing process, and to determine the comprehensive supply expenditure of the beauty products by combining the logistics and transportation expenditure and the product storage expenditure; A supply health evaluation module is used to record the product purchase data and product sales data of the beauty products, calculate the supply constancy index corresponding to the supplier of the beauty products based on the product purchase data, calculate the market demand variation coefficient corresponding to the beauty products based on the product sales data, and evaluate the supply health of the beauty products by combining the supply constancy index and the market demand variation coefficient; An inventory management strategy formulation module, used to determine the inventory replenishment amount of the beauty product in combination with the inventory information and the comprehensive supply expenditure, and formulate an inventory management strategy for the beauty product in combination with the supply health and the inventory replenishment amount; The platform optimization and adjustment module is used to record the user behavior trajectory data of the beauty and cosmetics transaction supply chain service platform, extract the trajectory participation characteristics and repurchase behavior characteristics in the user behavior trajectory data, calculate the user loyalty of the beauty and cosmetics transaction supply chain service platform based on the trajectory participation characteristics and the repurchase behavior characteristics, formulate the promotion strategy of the beauty and cosmetics products according to the user loyalty and the inventory management strategy, and optimize and adjust the beauty and cosmetics transaction supply chain service platform in combination with the promotion strategy and the product launch sequence to obtain the platform optimization result.

Images