An e-commerce management system and method based on fresh flower sales

Abstract

This application relates to the technical field of fresh flower e-commerce sales, and particularly to an e-commerce management system and method based on fresh flower sales. The method includes: obtaining user usage requirement information, analyzing the user usage requirement information, constructing a bouquet usage scenario, determining and outputting a preselected customized flower material set; obtaining the bouquet customization operation feedback by the user according to the preselected customized flower material set, and determining a bouquet customization information set; analyzing the bouquet customization information set, performing modular disassembly, classification and statistics on the bouquet customization information set, and determining target purchase information; obtaining a channel merchant information set, and based on the channel merchant information set, according to the target purchase information, determining and outputting a targeted purchase plan. This application provides users with a highly personalized bouquet customization space, and at the same time, when merchants face a large number of online customized bouquet demands, it can quickly formulate a reasonable and effective purchase plan for merchants.

Description

Technical Field

[0001] This application relates to the technical field of fresh flower e-commerce sales, and in particular to an e-commerce management system and method based on fresh flower sales. Background Art

[0002] With the improvement of people's living standards, fresh flowers play an increasingly important role in daily life. Especially on occasions such as festivals, weddings, and celebrations, consumers' demand for customized and personalized fresh flowers has increased significantly. At the same time, the rapid development of e-commerce has enabled consumers to conveniently purchase fresh flowers online, thus promoting the growth of the fresh flower e-commerce market.

[0003] However, the existing e-commerce management methods for fresh flower sales provide little room for bouquet customization for users, and it is difficult to quickly formulate a reasonable and effective purchase plan for merchants when they receive a large number of online highly customized demands, resulting in poor user experience, as well as high inventory pressure and large flower material losses for merchants, and low goods turnover efficiency. Summary of the Invention

[0004] This application provides an e-commerce management system and method based on fresh flower sales to solve the above technical problems.

[0005] In a first aspect, this application provides an e-commerce management method based on fresh flower sales, and the method includes:

[0006] Obtain user usage requirement information, analyze the user usage requirement information, construct a bouquet usage scenario, and determine and output a preselected customized flower material set;

[0007] Obtain the bouquet customization operation feedback by the user according to the preselected customized flower material set, and determine a bouquet customization information set;

[0008] Analyze the bouquet customization information set, perform modular disassembly, classification and statistics on the bouquet customization information set, and determine target purchase information;

[0009] Obtain a channel provider information set, and based on the channel provider information set, determine and output a targeted purchase plan according to the target purchase information.

[0010] Through this solution, according to the user's usage requirement information, a bouquet usage scenario is constructed to determine a preselected customized flower material set that meets the user's bouquet usage scenario. On this basis, according to the bouquet customization operations feedback by the user, a bouquet customization information set is determined, and through modular disassembly, classification, and statistics of the bouquet customization information set, the target purchase information required to meet the bouquet customization requirements is determined. Combining the target purchase information, a targeted purchase plan is determined and output, providing a highly personalized bouquet customization space for users. At the same time, in the case of a large number of online customized bouquet demands faced by merchants, a reasonable and effective purchase plan can be quickly formulated for merchants, improving the user's fresh flower shopping experience and reducing the merchant's inventory pressure and flower material loss.

[0011] Optionally, the analysis of the user's usage requirement information, construction of the bouquet usage scenario, determination, and output of the preselected customized flower material set include:

[0012] Analyze the user's usage requirement information, extract the set of emotional feature words, the customized requirement date, and the user requirement location coordinates;

[0013] Analyze the set of emotional feature words, and determine the term frequency-inverse document frequency weight and the standard emotional score corresponding to each emotional feature word;

[0014] According to the customized requirement date, determine the user's target festival date, and according to the customized requirement date and the user's target festival date, determine the timeliness coefficient;

[0015] According to the term frequency-inverse document frequency weight, the standard emotional score, the timeliness coefficient, and the user requirement location coordinates, construct a scenario feature vector;

[0016] According to the scenario feature vector, retrieve and match the preset flower material data graph, and determine and output the preselected customized flower material set.

[0017] Through this solution, analyze the user's usage requirement information, extract the set of emotional feature words, the customized requirement date, and the user requirement location coordinates that have an impact on the preselected customized flower material screening process, and further analyze to obtain the term frequency-inverse document frequency weight, the standard emotional score, and the timeliness coefficient that reflect the above impacts. On this basis, integrate to obtain a scenario feature vector that reflects the user's flower usage scenario characteristics, and use this as the retrieval basis to retrieve and match the preset flower material data graph, and determine and output the preselected customized flower material set that meets the current user's flower usage scenario requirements, improving the accuracy and comprehensiveness of the flower material data in the preselected customized flower material set.

[0018] Optionally, the construction of the scenario feature vector according to the term frequency-inverse document frequency weight, the standard emotional score, the timeliness coefficient, and the user requirement location coordinates is specifically the following formula:

[0019] ;

[0020] Among them, is the scene feature vector, is the total number of sentiment feature words, is the term frequency - inverse document frequency weight of the th sentiment feature word, is the timeliness coefficient, is the attenuation factor, is the customized requirement date, is the user's target festival date, is the user's required location coordinates.

[0021] Through this solution, by using mathematical analysis means, according to the term frequency - inverse document frequency weight, standard sentiment score, timeliness coefficient and user's required location coordinates, the user's scene features are described from three dimensions of sentiment, time and space respectively to integrate and obtain the scene feature vector, improving the scientificity and comprehensiveness of the scene feature vector, and further improving the accuracy of the pre - selected flower material information set.

[0022] Optionally, the obtaining of the bouquet customization information set by determining the bouquet customization operation based on the feedback of the user on the pre - selected customized flower material set includes:

[0023] Based on the pre - selected customized flower material set, provide the user with an AR virtual bouquet customization interface, and render the spatial combination effect of the flower materials in real time according to the operation trajectory data feedback by the user;

[0024] Based on the operation trajectory data, identify the user's implicit preferred flower materials through trajectory clustering analysis, dynamically adjust the sorting weights of the pre - selected flower materials, and generate flower material combination information;

[0025] Analyze the flower material combination information, evaluate the stability of the flower material combination, determine the flower material stability information, and feedback the corresponding flower material combination adjustment information to the user and receive the user's confirmation information;

[0026] Based on the user's confirmation information, determine the bouquet customization information set.

[0027] Through this solution, a preselected customized flower material set is used to provide the user with an AR virtual flower bouquet customization interface. Based on the user's operation trajectory data, the spatial combination effect of the flower materials is rendered in real time. Meanwhile, the user's implicitly preferred flower materials are analyzed to adjust the sorting weights of the preselected flower materials. After integration, flower material combination information is generated. Further, the stability of the corresponding flower material combination in the flower material combination information is evaluated, and the corresponding flower material combination adjustment information is fed back to the user. After the user confirms, a flower bouquet customization information set is integrated to enable the user to more easily select and adjust the flower material combination, intuitively feel the overall style and color matching effect, and at the same time ensure the stability of the flower material combination and improve the matching degree between the customized flower bouquet and the user's preferences.

[0028] Optionally, analyzing the flower material combination information to evaluate the stability of the flower material combination and determining the flower material stability information includes:

[0029] According to the flower material combination information, the total number of flower materials, the fixed radius of the flower materials, the centroid of the combined flower materials, the position vector of each flower material, and the flower material type are extracted;

[0030] According to the flower material type of each flower material, the ethylene tolerance threshold of the flower material combination, the reference mass, the reference ethylene release rate, and the reference surface area of each flower material are determined;

[0031] Based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and the position vector of each flower material, a physical stability determination condition is constructed;

[0032] According to the customized demand date and the user's target festival date, the expected retention time of the flower bouquet is determined;

[0033] Based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the flower bouquet, according to the reference ethylene release rate and the reference surface area of each flower material, a biochemical stability determination condition is constructed;

[0034] According to the physical stability determination condition and the biochemical stability determination condition, it is judged whether the physical stability or the biochemical stability corresponding to the current flower material combination meets the standard, and a judgment result is determined, which is used as the flower material stability information.

[0035] Through this solution, starting from two aspects of physical stability and biochemical stability, based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and position vector of each flower material, a physical stability determination condition is constructed, and based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the flower bouquet, according to the reference ethylene release rate and reference surface area of each flower material, a biochemical stability determination condition is constructed, and the judgment result based on the above determination conditions is used as the flower material stability information, so that the flower material stability information can intuitively, comprehensively and accurately reflect whether the stability of the flower material combination in the user-customized flower materials meets the standard.

[0036] Optionally, the construction of the physical stability determination condition based on the fixed radius of the flower material, the centroid of the combined flower material, and the total number of flower materials, according to the reference mass and position vector of each flower material, is specifically the following formula:

[0037] ;

[0038] Wherein, is the total number of flower materials, is the reference mass of the th flower material, is the th flower material's position vector, is the centroid of the combined flower material, is the fixed radius of the flower material;

[0039] The construction of the biochemical stability determination condition based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the flower bouquet, according to the reference ethylene release rate and reference surface area of each flower material, is specifically the following formula:

[0040] ;

[0041] Wherein, is the total number of flower materials, is the reference ethylene release rate of the th flower material, is the th flower material's reference surface area, is the expected retention time of the flower bouquet, is the ethylene tolerance threshold of the flower material combination.

[0042] Through this solution, by using mathematical analysis means, based on the fixed radius of the flower material, the centroid of the combined flower material, and the total number of flower materials, according to the reference mass and position vector of each flower material, a physical stability determination condition is constructed, and based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the flower bouquet, according to the reference ethylene release rate and reference surface area of each flower material, a biochemical stability determination condition is constructed, improving the scientificity and accuracy of the physical stability determination condition and the biochemical stability determination condition.

[0043] Optionally, analyze the bouquet customization information set, modularly disassemble, classify and count the bouquet customization information set, and determine the target purchase information, including:

[0044] According to the bouquet customization information set, count the target flower material type set and the target bouquet accessory set;

[0045] According to the purchase cycle set by the merchant, divide several purchase batches according to the customized demand dates corresponding to different users in the bouquet customization information set, and determine the purchase batch information set;

[0046] Based on the purchase batch information set, analyze the target flower material type set, and determine the purchase redundancy amount corresponding to each type of flower material in each purchase batch according to the loss rate corresponding to each type of flower material in the historical purchase information;

[0047] Construct the target purchase information according to the target bouquet accessory set, the purchase batch information set and the purchase redundancy amount.

[0048] Through this solution, based on the merchant's purchase cycle and the loss rate corresponding to each type of flower material in the historical purchase information, classify the types of each target flower material and target bouquet accessory required at different time points in the bouquet customization information set and divide the purchase batches. At the same time, reserve sufficient purchase redundancy for the flower material purchase stage. By integrating the target bouquet accessory set, the purchase batch information set and the purchase redundancy amount, construct the target purchase information, improve the merchant's purchase efficiency under the influence of a large number of customized demands, and prevent the situation of delaying the delivery time due to the influence of the flower material loss rate after the purchase is completed.

[0049] Optionally, based on the channel provider information set, determine and output a targeted purchase plan according to the target purchase information, which is characterized by including:

[0050] Based on the channel provider information set, analyze the target purchase information, and determine several target channel providers corresponding to each type of flower material in the target purchase information;

[0051] According to the channel provider information set, extract the historical transaction records corresponding to each target channel provider, and thereby determine the total historical purchase volume, the total historical purchase cost, the historical freshness compliance rate and the historical performance risk of the current merchant for each type of flower material under the corresponding target channel provider;

[0052] Based on the historical total purchase volume, historical total purchase cost, historical freshness compliance rate, and historical performance risk of each type of flower material under the corresponding target channel partner, conduct comprehensive cost optimization for each type of flower material, determine the optimal purchase channel partner for each type of flower material, and construct and output the targeted purchase plan accordingly.

[0053] Through this solution, taking each type of flower material as the minimum unit, conduct channel partner screening, determine several target channel partners, and combine various historical transaction information of the current merchant under the corresponding target channel partners to conduct comprehensive cost optimization for the purchase process of each type of flower material, determine the optimal purchase channel partner for each type of flower material, and construct and output the targeted purchase plan accordingly, so that the targeted purchase plan can meet the high-efficiency and low-cost purchase needs of the merchant when dealing with a large number of customized demands.

[0054] Optionally, the comprehensive cost optimization for each type of flower material based on the historical total purchase volume, historical total purchase cost, historical freshness compliance rate, and historical performance risk of each type of flower material under the corresponding target channel partner is specifically the following formula:

[0055] ;

[0056] Among them, is the preset unit price impact weight, is the historical total purchase cost of the current type of flower material under the th target channel partner, is the historical total purchase volume of the current type of flower material under the th target channel partner, is the preset freshness impact weight, is the historical freshness compliance rate of the current type of flower material under the th target channel partner, is the historical performance risk of the current type of flower material under the th target channel partner, is the preset performance risk weight.

[0057] Through this solution, using mathematical analysis methods, based on the historical total purchase volume, historical total purchase cost, historical freshness compliance rate, and historical performance risk of each type of flower material under the corresponding target channel partner, conduct comprehensive cost optimization for the unit price cost, freshness situation, and performance situation of different types of flower materials corresponding to different channel partners respectively. The channel partner corresponding to each type of flower material when the comprehensive cost is the smallest is the optimal channel partner in the current purchase plan, thereby improving the scientificity and accuracy of the targeted purchase plan.

[0058] Second aspect, the present application provides an e-commerce management system based on fresh flower sales, and the system includes:

[0059] A requirements analysis module, configured to obtain user usage requirement information, analyze the user usage requirement information, construct a bouquet usage scenario, and determine and output a preselected customized flower material set;

[0060] A bouquet customization module, configured to obtain a bouquet customization operation feedback by a user according to the preselected customized flower material set, and determine a bouquet customization information set;

[0061] A customization information analysis module, configured to analyze the bouquet customization information set, perform modular disassembly, classification and statistics on the bouquet customization information set, and determine target purchase information;

[0062] A purchase plan analysis module, configured to obtain a channel provider information set, and based on the channel provider information set, determine and output a targeted purchase plan according to the target purchase information. Description of the Drawings

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0064] Figure 1 It is a schematic diagram of an application scenario provided by an embodiment of the present application;

[0065] Figure 2 It is a flowchart of an e-commerce management method based on fresh flower sales provided by an embodiment of the present application;

[0066] Figure 3 It is a schematic structural diagram of an e-commerce management system based on fresh flower sales provided by an embodiment of the present application. Detailed Embodiments

[0067] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present application belong to the scope of protection of the present application.

[0068] In addition, the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this text generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0069] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings of the specification.

[0070] The existing e-commerce management method for selling fresh flowers provides users with a relatively small space for customized flower bouquets. Moreover, it is difficult to quickly formulate a reasonable and effective purchase plan for merchants when the merchants receive a large number of online highly customized demands, resulting in poor user experience, as well as high inventory pressure and large flower material losses for merchants, and low goods turnover efficiency.

[0071] Based on this, the present application provides an e-commerce management method and system for selling fresh flowers. According to the user's usage requirement information, a flower bouquet usage scenario is constructed to determine a preselected customized flower material set that meets the user's flower bouquet usage scenario. On this basis, according to the flower bouquet customization operations feedback by the user, a flower bouquet customization information set is determined, and through modular disassembly, classification, and statistics of the flower bouquet customization information set, the target purchase information required to meet the flower bouquet customization requirements is determined. Combining the target purchase information, a targeted purchase plan is determined and output, providing users with a highly personalized flower bouquet customization space, and at the same time, quickly formulating a reasonable and effective purchase plan for merchants when the merchants face a large number of online customized flower bouquet demands, improving the user's fresh flower shopping experience, and reducing the inventory pressure and flower material losses of merchants.

[0072] Figure 1 This is a schematic diagram of an application scenario provided by the present application. During the online sale of fresh flowers, by applying the method provided by the present application, while providing users with a highly personalized flower bouquet customization space, a reasonable and effective purchase plan can be quickly formulated for merchants when the merchants face a large number of online customized flower bouquet demands.

[0073] Specifically, the method of the present application is applied to any server. The server obtains and analyzes the user usage requirement information provided by the user, constructs a bouquet usage scenario, and thereby determines a preselected customized flower material set that meets the user's bouquet usage scenario. On this basis, according to the bouquet customization operations feedback by the user, a bouquet customization information set is determined, and through modular disassembly, classification, and statistics of the bouquet customization information set, the target purchase information required to meet the bouquet customization requirements is determined. Combining the target purchase information, the corresponding targeted purchase plan is provided to the merchant, providing a highly personalized bouquet customization space for the user. At the same time, in the case where the merchant faces a large number of online customized bouquet demands, a reasonable and effective purchase plan can be quickly formulated for the merchant, improving the user's fresh flower shopping experience and reducing the merchant's inventory pressure and flower material loss.

[0074] The specific implementation manner can refer to the following embodiments.

[0075] Figure 2 The flowchart of an e-commerce management method based on fresh flower sales provided by an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. As Figure 2 shown, the method includes:

[0076] S201. Obtain user usage requirement information, analyze the user usage requirement information, construct a bouquet usage scenario, and determine and output a preselected customized flower material set.

[0077] The user usage requirement information can be descriptive information for the user's own flower usage requirements, and the user usage requirement information is provided by the user through an information filling interface.

[0078] The bouquet usage scenario can be a bouquet usage scenario obtained by analyzing the user's flower usage requirements.

[0079] The preselected customized flower material set can be a set of flower material information suitable for the current user's bouquet usage scenario for the user to select.

[0080] Specifically, the demands for fresh flower sales vary greatly, and the customization requirements are high. Information such as the usage target of fresh flowers, the user's aesthetic preferences, and the fresh flower usage scenario directly determine the user's demands. Different fresh flowers have different symbolic meanings. If the customized bouquet does not match or is contrary to the user's usage scenario, it is easy to cause user loss. Through mathematical analysis means, the user usage requirement information provided by the user is analyzed to construct the usage scenario of the user's currently purchased bouquet, and starting from this scenario, several preselected flower materials are provided for the user to ensure that there will be no mismatch between the flower materials and the user's usage scenario during the subsequent user-defined bouquet process, guaranteeing the user's customization experience, and at the same time providing an accurate data basis for the subsequent user bouquet customization process.

[0081] S202. Obtain the bouquet customization operations feedback by the user based on the preselected customized flower material set, and determine the bouquet customization information set.

[0082] The bouquet customization operations can be the specific operations of the user on the flower materials in the bouquet customization interface, and the bouquet customization operations are provided by the user through their purchasing terminal.

[0083] The bouquet customization information set can be a set containing the flower material information required for user customization.

[0084] Specifically, after determining the preselected customized flower material set, push the flower materials and other accessories (such as wrapping paper, cards, etc.) required for customizing the bouquet to the user side through visualization technology, and according to the user's terminal operations (such as clicking, swiping, etc.), display the customized combination effect of the selected flower materials in real time to obtain the current user's bouquet customization information. The user can easily complete the flower material customization through the highly interactive visualization interface. By integrating the bouquet customization information of different users, the bouquet customization information set is constructed. This information set directly reflects the preferences of different users for flower materials and the requirements for the bouquet form, facilitating subsequent unified purchase analysis based on the bouquet customization information set.

[0085] S203. Analyze the bouquet customization information set, perform modular disassembly, classification and statistics on the bouquet customization information set, and determine the target purchase information.

[0086] The modular disassembly, classification and statistics can be the process of disassembling and classifying the customized bouquet information of different users collected in the bouquet customization information set to count different types of flower materials and accessories in the bouquet customization information set.

[0087] The target purchase information can be the target goods information required to meet the bouquet customization needs of each user in the bouquet customization information set.

[0088] Specifically, the bouquet customization information set contains a large amount of bouquet customization information submitted by different users. There are differences in the flower materials and packaging accessories corresponding to different bouquet customization information. In order to highly match the merchant's purchase target with the user's bouquet customization needs and reduce the merchant's inventory pressure and flower material loss, classify and statistically analyze different types of flower materials and packaging accessories in the bouquet customization information set to clarify the purchase requirements of each type of flower material and packaging accessory for the current merchant, construct the target purchase information, and automatically quickly count the purchase target from the massive bouquet customization data to improve the merchant's purchase processing efficiency.

[0089] S204. Obtain the channel provider information set, and based on the channel provider information set, determine and output a targeted purchase plan according to the target purchase information.

[0090] The channel provider information set can be a set of information of each purchase channel provider that the current merchant can connect to, and the channel provider information set can be provided by the merchant through the corresponding information submission interface.

[0091] The targeted purchase plan can be an adaptive purchase plan obtained based on the target purchase information of the current merchant and the corresponding channel provider information.

[0092] Specifically, after determining the target purchase information, since the target purchase information contains a large number of flower material requirements of different types, and factors such as the quality and price of different types of flower materials vary among different purchase channel providers, through mathematical analysis means, based on the target purchase information and the channel provider information set, an efficient and high-quality targeted purchase plan for the current merchant facing the corresponding purchase target in the target purchase information is obtained.

[0093] Through this solution, according to the user's usage requirement information, a bouquet usage scenario is constructed, and based on this, a preselected customized flower material set that meets the user's bouquet usage scenario is determined. On this basis, according to the bouquet customization operations feedback by the user, a bouquet customization information set is determined, and through modular disassembly, classification, and statistics of the bouquet customization information set, the target purchase information required to meet the bouquet customization requirements is determined. Combining the target purchase information, the targeted purchase plan is determined and output, providing a highly personalized bouquet customization space for users. At the same time, in the case of a large number of online customized bouquet demands faced by merchants, a reasonable and effective purchase plan can be quickly formulated for merchants, improving the user's fresh flower shopping experience and reducing the inventory pressure and flower material loss of merchants.

[0094] In some embodiments, the user's usage requirement information is analyzed to extract an emotional feature word set, a customization requirement date, and the user's requirement location coordinates; the emotional feature word set is analyzed to determine the term frequency-inverse document frequency weight and the standard emotional score corresponding to each emotional feature word; according to the customization requirement date, the user's target festival date is determined, and according to the customization requirement date and the user's target festival date, the timeliness coefficient is determined; according to the term frequency-inverse document frequency weight, the standard emotional score, the timeliness coefficient, and the user's requirement location coordinates, a scenario feature vector is constructed; according to the scenario feature vector, the preset flower material data graph is retrieved and matched to determine and output the preselected customized flower material set.

[0095] The emotional feature word set can be a set of feature keywords in the user's usage requirement information that can map the user's emotions.

[0096] The customization requirement date can be the required arrival date of the customized bouquet by the user.

[0097] The user's requirement location coordinates can be the coordinates of the required arrival address of the customized bouquet by the user.

[0098] The term frequency-inverse document frequency weight can be a quantitative index used to evaluate the importance of keywords in text information.

[0099] The standard emotional score can be a quantitative index used to represent the emotional tendency of keywords.

[0100] The user's target festival date can be the expected usage date of the user's customized bouquet.

[0101] The aging coefficient can be a quantitative indicator used to reflect the length of time the user's flower materials are retained.

[0102] The scenario feature vector can be vector information used to reflect the comprehensive features of the usage scenario of the user's customized bouquet.

[0103] The preset flower material data atlas can be a preset data atlas storing the characteristics of various flower materials.

[0104] Specifically, through natural language analysis technology, emotional feature words are extracted from the user usage requirement information provided by the user (such as "romantic", "grateful", "blessing", "sorry", etc.) to construct an emotional feature word set. Then, through the term frequency-inverse document frequency analysis technology and the emotional dictionary matching algorithm, the term frequency-inverse document frequency weight and the standard emotional score corresponding to each emotional feature word are determined respectively. The above parameter indicators can reflect the emotional orientation of the bouquet required by the user. At the same time, the customized requirement date and the user requirement location coordinates are extracted from the user usage requirement information. According to the customized requirement date, the festival dates with the possibility of flower delivery close to the customized requirement date are retrieved (usually on the day of or the day after the customized requirement date). If there is no corresponding close festival date, the customized requirement date is used as the user's target festival date. Then, through mathematical analysis means, according to the customized requirement date and the user's target festival date, the aging coefficient is quantified. The larger this coefficient is, the longer the retention time between the bouquet being received by the user and being used. This retention time directly affects the screening of the subsequent preselected customized flower materials. The larger the aging coefficient is, the more the subsequent preselected customized flower materials tend to be flower material types with a long freshness preservation time. The user requirement location coordinates reflect the time required for the flower materials to reach the user after the customization is completed. The length of this time also affects the screening of the subsequent preselected customized flower materials. According to the term frequency-inverse document frequency weight, the standard emotional score, the aging coefficient, and the user requirement location coordinates, through mathematical analysis means, a scenario feature vector is constructed to quantify the user's flower usage scenario features, and then it is matched with the corresponding flower material data in the preset flower material data atlas to determine and output the set of preselected customized flower materials.

[0105] Through this solution, analyze the user's usage requirement information, extract the set of sentiment feature words, the customized requirement date, and the user requirement location coordinates that have an impact on the pre-selection process of customized flower materials, and further analyze to obtain the term frequency-inverse document frequency weight, the standard sentiment score, and the timeliness coefficient reflecting the above impacts. On this basis, integrate to obtain the scene feature vector reflecting the user's flower usage scenario characteristics, and use this as the retrieval basis to retrieve and match the preset flower material data graph, determine and output the pre-selected customized flower material set that meets the current user's flower usage scenario requirements, and improve the accuracy and comprehensiveness of the flower material data in the pre-selected customized flower material set.

[0106] In some embodiments, according to the term frequency-inverse document frequency weight, the standard sentiment score, the timeliness coefficient, and the user requirement location coordinates, construct a scene feature vector, specifically the following formula:

[0107] ;

[0108] Wherein, is the scene feature vector, is the total number of sentiment feature words, is the th sentiment feature word's term frequency-inverse document frequency weight, is the th sentiment feature word's standard sentiment score, is the timeliness coefficient, is the attenuation factor, is the customized requirement date, is the user's target festival date, is the user requirement location coordinates.

[0109] The attenuation factor can be a quantization coefficient used to control the influence degree of the difference between the customized requirement date and the user's target festival date on the timeliness coefficient.

[0110] Specifically, through comprehensively describe multiple sentiment tendencies reflected in the user's usage requirement information (such as the coexistence of "gratitude" and "romance"), and the setting of the term frequency-inverse document frequency weight can be based on the TF-IDF weight algorithm; through describe the influence relationship between the difference between the customized requirement date and the user's target festival date and the timeliness coefficient; and then combine the user requirement location coordinates to comprehensively describe the scene characteristics from the three dimensions of sentiment, time, and space to obtain the scene feature vector.

[0111] Through this solution, by means of mathematical analysis, according to the term frequency-inverse document frequency weight, standard sentiment score, timeliness coefficient, and user demand position coordinates, the user scenario characteristics of the user are described from three dimensions of sentiment, time, and space respectively, so as to integrate and obtain a scenario feature vector, improve the scientificity and comprehensiveness of the scenario feature vector, and further improve the accuracy of the preselected flower material information set.

[0112] In some embodiments, according to the preselected customized flower material set, an AR virtual flower bouquet customization interface is provided for the user. According to the operation trajectory data feedback by the user, the spatial combination effect of the flower materials is rendered in real time; according to the operation trajectory data, the user's implicit preference flower materials are identified through trajectory clustering analysis, and the sorting weight of the preselected flower materials is dynamically adjusted to generate flower material combination information; the flower material combination information is analyzed, the stability of the flower material combination is evaluated, the flower material stability index is determined, and the corresponding flower material combination adjustment information is fed back to the user, and the user confirmation information is received; according to the user confirmation information, the flower bouquet customization information set is determined.

[0113] The AR virtual flower bouquet customization interface can be a visualization interface based on AR technology and generated according to the preselected flower material set for providing the user with a customized flower bouquet experience. The AR virtual flower bouquet customization interface can be developed based on an augmented reality software development kit, such as ARKit (iOS) or ARCore (Android), in combination with a computer vision library and 3D modeling tools.

[0114] The operation trajectory data can be the trajectory data corresponding to the operations performed by the user when customizing the flower bouquet in the AR virtual flower bouquet customization interface. The operation trajectory data can be obtained through an event listener built into the AR virtual flower bouquet customization interface.

[0115] The spatial combination effect of the flower materials can be the combination effect of various flower materials selected by the user in the AR virtual flower bouquet customization interface.

[0116] The user's implicit preference flower materials can be the type of flower materials that the user implicitly expresses as preferences obtained through the analysis of the operation trajectory data.

[0117] The flower material combination information can be the flower material combination information determined according to the flower materials selected by the user and the combination method.

[0118] The flower material stability information can be the information used to characterize the stability of the current user's customized flower bouquet (which can include physical stability and biochemical stability).

[0119] Specifically, under the traditional flower bouquet customization method, it is difficult for users to accurately configure flower materials through simple text descriptions or picture selections, lacking intuitiveness and interactivity. AR technology can, through augmented reality, enable users to clearly see the combined effects of flower materials in the real environment during the customization process. The real-time rendering of the AR virtual interface greatly increases the visibility of the combined effects of flower materials, allowing users to more easily select and adjust the combination of flower materials, intuitively feel the overall style and color matching effects, thereby enhancing the interest in purchase or customization. Through the user's operation trajectory data, not only can the explicit flower material customization selections be recorded, but also the user's implicit preferences for flower materials (such as decisive selections for certain flower materials) can be identified. Based on the selected flower materials by the user, the combined effects obtained from the operations, and the sorting weights including implicit preferences, flower material combination information is integrated. On this basis, the stability of the user-customized flower material combination is evaluated. Because in actual operations, the combination of flower materials not only involves aesthetic issues but also is related to actual physical stability and biochemical stability. For example, the shape or combination of some flower materials may have problems with unstable placement, or the combination of some flower materials may cause the withering speed of some flower materials to accelerate. Through mathematical analysis methods, starting from the two directions of physical stability and biochemical stability respectively, the corresponding indicators for the user to evaluate the stability of flower materials are quantified, and based on the corresponding indicators and the user's implicitly preferred flower materials, the flower material combination information customized by the current user is adjusted (giving priority to retaining the user's implicitly preferred flower materials), and the corresponding flower material combination adjustment information is fed back to the user. After receiving the user's confirmation information, the adjusted flower material combination information is used as the flower bouquet customization information set.

[0120] Through this solution, according to the preselected customized flower material set, an AR virtual flower bouquet customization interface is provided for users, and based on the user's operation trajectory data, the spatial combined effects of flower materials are rendered in real time. At the same time, the user's implicitly preferred flower materials are analyzed, and the sorting weights of the preselected flower materials are adjusted accordingly. After integration, flower material combination information is generated. Further, the stability of the corresponding flower material combination in the flower material combination information is evaluated, and the corresponding flower material combination adjustment information is fed back to the user. After the user's confirmation, the flower bouquet customization information set is integrated and generated, enabling users to more easily select and adjust the combination of flower materials, intuitively feel the overall style and color matching effects, and at the same time ensure the stability of the flower material combination, improving the matching degree between the user-customized flower bouquet and the user's preferences.

[0121] In some embodiments, according to the flower material combination information, the total number of flower materials, the fixed radius of the flower materials, the centroid of the combined flower materials, the position vector of each flower material, and the type of the flower material are extracted; according to the type of each flower material, the ethylene tolerance threshold of the flower material combination, the reference mass of each flower material, the reference ethylene release rate, and the reference surface area are determined; based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and the position vector of each flower material, a physical stability determination condition is constructed; according to the customized demand date and the user's target festival date, the expected retention time of the flower bouquet is determined; based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the flower bouquet, according to the reference ethylene release rate and the reference surface area of each flower material, a biochemical stability determination condition is constructed; according to the physical stability determination condition and the biochemical stability determination condition, it is judged whether the physical stability or the biochemical stability corresponding to the current flower material combination meets the standard, and a judgment result is determined, which is used as the flower material stability information.

[0122] The fixed radius of the flower materials can be the fixed radius corresponding to the formation of a flower bouquet by combining several flower materials.

[0123] The centroid of the combined flower materials can be the mass center of the corresponding flower material combination in the customized flower bouquet.

[0124] The position vector can be the position information of each flower material relative to the mass center of the flower material combination.

[0125] The ethylene tolerance threshold of the flower material combination can be the overall ethylene threshold that the corresponding flower material combination in the current customized flower bouquet can withstand.

[0126] The reference mass can be the average unit flower material mass corresponding to each type of flower material.

[0127] The reference ethylene release rate can be the average unit flower material ethylene release rate corresponding to each type of flower material.

[0128] The reference surface area can be the average surface area corresponding to each type of flower material.

[0129] The physical stability determination condition can be a mathematical condition used to evaluate whether the physical stability of the current flower material combination meets the standard.

[0130] The expected retention time of the flower bouquet can be the time that the current customized flower bouquet is expected to be retained by the user before being officially used. The expected retention time of the flower bouquet can be estimated by calculating the difference between the customized demand date and the user's target festival date.

[0131] The biochemical stability determination condition can be a mathematical condition used to evaluate whether the biochemical stability of the current flower material combination meets the standard.

[0132] Specifically, during the process of evaluating the stability of a flower arrangement, since the physical stability of the flower arrangement is determined by factors such as spatial position, distribution layout, and quality characteristics, through mathematical analysis methods, based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and position vector of each flower material, a mathematical condition for evaluating the physical stability of the flower arrangement is constructed. For the evaluation of the biochemical stability of the flower arrangement, the focus is mainly on the ethylene release situation after the combination of flower materials. Flower material types that release a large amount of ethylene are not suitable to be in the same bouquet as ethylene-sensitive flower materials, because this will cause the ethylene-sensitive flower materials in the bouquet to wither rapidly, directly destroying the aesthetic appearance of the bouquet. The magnitude of the impact caused by ethylene release is affected by the length of the bouquet retention time. The longer the bouquet retention time, the more significant the impact of ethylene. Through mathematical analysis methods, based on the ethylene tolerance threshold of the flower arrangement and the expected bouquet retention time, according to the reference ethylene release rate and reference surface area of each flower material, a mathematical condition for evaluating the physical stability of the flower arrangement is constructed. According to the physical stability determination condition and the biochemical stability determination condition, it is judged whether the corresponding physical stability or biochemical stability of the current flower arrangement meets the standard, and the corresponding judgment result is used as the flower stability information.

[0133] Through this solution, starting from two directions of physical stability and biochemical stability, based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and position vector of each flower material, a physical stability determination condition is constructed, and based on the ethylene tolerance threshold of the flower arrangement and the expected bouquet retention time, according to the reference ethylene release rate and reference surface area of each flower material, a biochemical stability determination condition is constructed, and the judgment result based on the above determination conditions is used as the flower stability information, enabling the flower stability information to intuitively, comprehensively, and accurately reflect whether the stability of the flower arrangement in the user-customized flower materials meets the standard.

[0134] In some embodiments, based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and position vector of each flower material, a physical stability determination condition is constructed, specifically as the following formula (1):

[0135] (1)

[0136] Wherein, is the total number of flower materials, is the reference mass of the th flower material, is the th flower material's position vector, is the centroid of the combined flower materials, is the fixed radius of the flower material; based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the bouquet, according to the baseline ethylene release rate and baseline surface area of each flower material, a biochemical stability determination condition is constructed, specifically the following formula (2):

[0137] (2)

[0138] Among them, is the total number of flower materials, is the baseline ethylene release rate of the th flower material, is the baseline surface area of the th flower material, is the expected retention time of the bouquet,

[0139] is the ethylene tolerance threshold of the flower material combination. Specifically, the offset between each flower material in the current combined flower material and the centroid under the influence of its mass is described by in formula (1). When this offset is too large, that is, greater than the fixed radius, the risk of the combined flower material tipping over due to insufficient support force will increase significantly. Therefore, in the physical stability determination condition, the above offset should be less than the fixed radius; the total ethylene release of the current combined flower material within the expected retention time is evaluated by

[0140] in formula (2). When the total ethylene release is greater than the ethylene tolerance threshold of the flower material combination, it indicates that there is a shortcoming in the ethylene tolerance of the current flower material combination, which will cause the appearance of the bouquet to be damaged by ethylene. Therefore, in the biochemical stability determination condition, the above total ethylene release should be less than the ethylene tolerance threshold of the flower material combination.

[0141] Through this solution, by using mathematical analysis means, based on the fixed radius of the flower material, the centroid of the combined flower material, and the total number of flower materials, according to the baseline mass and position vector of each flower material, a physical stability determination condition is constructed, and based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the bouquet, according to the baseline ethylene release rate and baseline surface area of each flower material, a biochemical stability determination condition is constructed, improving the scientificity and accuracy of the physical stability determination condition and the biochemical stability determination condition.

[0142] The set of target flower material types can be a set of corresponding flower material types required to complete the bouquet customization information set.

[0143] The set of target bouquet accessories can be a set of other accessories required to complete the bouquet customization information set.

[0144] The purchase cycle can be the cycle for a merchant to restock.

[0145] The purchase batch information set can be a set of flower material and accessory information that the current merchant needs to purchase during different purchase cycles.

[0146] The loss rate can be the proportion of the quantity of flower materials damaged due to various factors during the purchase stage to the total quantity of flower materials purchased.

[0147] The purchase redundancy can be the reserved purchase redundancy of flower materials to reduce the negative impact caused by the loss rate of flower material purchases.

[0148] Specifically, during the merchant's purchase process, there is usually a fixed purchase cycle, and the loss rates of different types of flower materials obtained by the merchant through different purchase channel providers within each purchase cycle are different. During the process of analyzing the target purchase information, based on the merchant's purchase cycle, type induction and purchase batch division are carried out for each target flower material and target bouquet accessory required at different time points in the bouquet customization information set. At the same time, according to the loss rate of each type of flower material in the historical purchase information, sufficient purchase redundancy is reserved during the flower material purchase stage to prevent the situation of delayed delivery time due to the influence of the flower material loss rate after the purchase is completed. By integrating the set of target bouquet accessories, the purchase batch information set, and the purchase redundancy, the target purchase information is constructed.

[0149] Through this solution, based on the merchant's purchase cycle and the corresponding loss rate of each type of flower material in the historical purchase information, type induction and purchase batch division are carried out for each target flower material and target bouquet accessory required at different time points in the bouquet customization information set. At the same time, sufficient purchase redundancy is reserved for the flower material purchase stage. By integrating the set of target bouquet accessories, the purchase batch information set, and the purchase redundancy, the target purchase information is constructed, improving the merchant's purchase efficiency under the influence of a large number of customization demands and preventing the situation of delayed delivery time due to the influence of the flower material loss rate after the purchase is completed.

[0150] In some embodiments, based on the channel partner information set, analyze the target purchase information to determine a number of target channel partners corresponding to each type of flower material in the target purchase information; according to the channel partner information set, extract the historical transaction records corresponding to each target channel partner, so as to determine the total historical purchase volume, the total historical purchase cost, the historical freshness compliance rate, and the historical performance risk of the current merchant for each type of flower material under the corresponding target channel partner; according to the total historical purchase volume, the total historical purchase cost, the historical freshness compliance rate, and the historical performance risk of each type of flower material under the corresponding target channel partner, perform comprehensive cost optimization processing on each type of flower material to determine the optimal purchase channel partner corresponding to each type of flower material, and thus construct and output a targeted purchase plan.

[0151] The target channel partner can be the purchaser corresponding to different types of flower materials.

[0152] The total historical purchase volume can be the total purchase volume of the current merchant for the current type of flower material under the current channel partner in the historical purchase information.

[0153] The total historical purchase cost can be the total purchase cost of the current merchant for the current type of flower material under the current channel partner in the historical purchase information.

[0154] The historical freshness compliance rate can be the freshness compliance rate of the current merchant for the current type of flower material under the current channel partner in the historical purchase information.

[0155] The historical performance risk can be the performance risk of the purchase contract of the current merchant for the current type of flower material under the current channel partner in the historical purchase information.

[0156] The comprehensive cost optimization processing can be to perform comprehensive optimization in different cost directions for the purchase process of different types of flower materials, such as monetary cost, time cost, quality cost, etc.

[0157] Specifically, the characteristics of different types of flower materials (such as variety, regionality, seasonal requirements, etc.) may determine their suitable supply channels. For example, certain flower materials may need to be supplied by channel merchants in specific regions. Classifying the target flower materials and matching the corresponding target channel merchants can avoid considering irrelevant channel merchants, reduce unnecessary data processing and supplier intervention. By screening and counting the historical transaction records of channel merchants, determine the total historical purchase volume, total historical purchase cost, historical freshness compliance rate, and historical performance risk of the current merchant for each type of flower material under the corresponding target channel merchant. The total historical purchase volume and total historical purchase cost reflect the overall pricing level of the channel merchant, providing a reference for purchase cost control. The historical freshness compliance rate reflects the quality and stability of the products supplied by the channel merchant, and the historical performance risk reflects the credibility and reliability of the channel merchant in contract execution. Through mathematical analysis methods, comprehensively considering the above historical indicators, perform comprehensive cost optimization processing on each type of flower material, determine the optimal purchase channel merchant corresponding to each type of flower material, and construct and output the targeted purchase plan based on this.

[0158] Through this solution, taking each type of flower material as the smallest unit, screen channel merchants, determine several target channel merchants, and combine various historical transaction information of the current merchant under the corresponding target channel merchants. Perform comprehensive cost optimization processing on the purchase process of each type of flower material, determine the optimal purchase channel merchant corresponding to each type of flower material, and construct and output a targeted purchase plan based on this, so that the targeted purchase plan can meet the high-efficiency and low-cost purchase needs of merchants when dealing with a large number of customized requirements.

[0159] In some embodiments, according to the total historical purchase volume, total historical purchase cost, historical freshness compliance rate, and historical performance risk of each type of flower material under the corresponding target channel merchant, perform comprehensive cost optimization processing on each type of flower material. Specifically, it is the following formula (3):

[0160] (3)

[0161] Wherein, is the preset unit price influence weight, is the total historical purchase cost of the current type of flower material under the th target channel merchant, is the total historical purchase volume of the current type of flower material under the th target channel merchant, is the preset freshness influence weight, is the historical freshness compliance rate of the current type of flower material under the th target channel merchant, is the historical performance risk of the current type of flower material under the th target channel merchant, It is a preset performance risk weight.

[0162] The preset unit price impact weight can be a quantitative value used to characterize the impact degree of the unit price of flower materials on the comprehensive purchase cost.

[0163] The preset freshness impact weight can be a quantitative value characterizing the impact degree of the freshness of flower materials on the comprehensive purchase cost.

[0164] The preset performance risk weight can be a quantitative value characterizing the impact degree of the contract performance risk on the comprehensive purchase cost.

[0165] Specifically, through formula (3), the comprehensive cost is optimized respectively from the unit price cost, freshness situation and performance situation of different types of flower materials corresponding to different channel providers. Under the condition of the minimum comprehensive cost, the channel provider corresponding to each type of flower material is the optimal channel provider in the current purchase plan, so as to improve the scientificity and accuracy of the targeted purchase plan.

[0166] Through this solution, by using mathematical analysis means, according to the historical total purchase volume, historical total purchase cost, historical freshness compliance rate and historical performance risk of each type of flower material under the corresponding target channel provider, the comprehensive cost is optimized respectively from the unit price cost, freshness situation and performance situation of different types of flower materials corresponding to different channel providers. Under the condition of the minimum comprehensive cost, the channel provider corresponding to each type of flower material is the optimal channel provider in the current purchase plan, so as to improve the scientificity and accuracy of the targeted purchase plan.

[0167] Figure 3 It is a schematic structural diagram of an e-commerce management system based on fresh flower sales provided by an embodiment of the present application. As Figure 3 shown, an e-commerce management system 300 based on fresh flower sales in this embodiment includes: a demand analysis module 301, a bouquet customization module 302, a customization information analysis module 303, and a purchase plan analysis module 304.

[0168] The demand analysis module 301 is used to obtain user usage requirement information, analyze the user usage requirement information, construct a bouquet usage scenario, and determine and output a preselected customized flower material set.

[0169] The bouquet customization module 302 is used to obtain the bouquet customization operation feedback by the user according to the preselected customized flower material set, and determine a bouquet customization information set.

[0170] The customization information analysis module 303 is used to analyze the bouquet customization information set, perform modular disassembly, classification and statistics on the bouquet customization information set, and determine target purchase information.

[0171] The purchase plan analysis module 304 is used to obtain the information set of the channel merchants, and based on the information set of the channel merchants, determine and output a targeted purchase plan according to the target purchase information.

[0172] Optionally, the demand analysis module 301 is specifically used for:

[0173] Analyze the user's usage demand information, extract the set of emotional feature words, the customized demand date, and the user demand location coordinates;

[0174] Analyze the set of emotional feature words, and determine the term frequency-inverse document frequency weight and the standard emotional score corresponding to each emotional feature word;

[0175] According to the customized demand date, determine the user's target festival date, and according to the customized demand date and the user's target festival date, determine the timeliness coefficient;

[0176] According to the term frequency-inverse document frequency weight, the standard emotional score, the timeliness coefficient, and the user demand location coordinates, construct a scene feature vector;

[0177] According to the scene feature vector, retrieve and match the preset flower material data map, and determine and output the preselected customized flower material set.

[0178] Optionally, when the demand analysis module 301 constructs a scene feature vector according to the term frequency-inverse document frequency weight, the standard emotional score, the timeliness coefficient, and the user demand location coordinates, it is specifically the following formula:

[0179] ;

[0180] Where is the scene feature vector, is the total number of emotional feature words, is the term frequency-inverse document frequency weight of the th emotional feature word, is the standard emotional score of the th emotional feature word, is the timeliness coefficient,

[0181] is the attenuation factor,

[0182] Provide an AR virtual bouquet customization interface for the user according to the preselected customized flower material set, and render the spatial combination effect of the flower materials in real time according to the operation trajectory data feedback by the user;

[0183] Identify the user's implicit preference for flower materials through trajectory clustering analysis according to the operation trajectory data, dynamically adjust the sorting weight of the preselected flower materials, and generate flower material combination information;

[0184] Analyze the flower material combination information, evaluate the stability of the flower material combination, determine the flower material stability information, and feedback the corresponding flower material combination adjustment information to the user, and receive the user's confirmation information;

[0185] Determine the bouquet customization information set according to the user's confirmation information.

[0186] Optionally, when analyzing the flower material combination information, evaluating the stability of the flower material combination, and determining the flower material stability information, the bouquet customization module 302 is specifically used for:

[0187] Extract the total number of flower materials, the fixed radius of the flower materials, the centroid of the combined flower materials, the position vector of each flower material, and the flower material type according to the flower material combination information;

[0188] Determine the ethylene tolerance threshold of the flower material combination, the reference mass of each flower material, the reference ethylene release rate, and the reference surface area according to the flower material type of each flower material;

[0189] Based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, construct a physical stability determination condition according to the reference mass and the position vector of each flower material;

[0190] Determine the expected retention time of the bouquet according to the customized required date and the user's target festival date;

[0191] Based on the ethylene tolerance threshold of the flower material combination and the expected retention time of the bouquet, construct a biochemical stability determination condition according to the reference ethylene release rate and the reference surface area of each flower material;

[0192] Judge whether the physical stability or biochemical stability corresponding to the current flower material combination meets the standard according to the physical stability determination condition and the biochemical stability determination condition, determine the judgment result, and use this as the flower material stability information.

[0193] Optionally, when constructing a physical stability determination condition based on the fixed radius of the flower materials, the centroid of the combined flower materials, and the total number of flower materials, according to the reference mass and the position vector of each flower material, the specific formula is as follows:

[0194] ;

[0195] Among them, is the total number of the flower materials, is the benchmark mass of the th flower material, is the position vector of the th flower material,

[0196] Based on the ethylene tolerance threshold of the flower material combination and the predicted bouquet retention time, according to the benchmark ethylene release rate and the benchmark surface area of each flower material, a biochemical stability determination condition is constructed, specifically the following formula:

[0197] ;

[0198] Among them, is the total number of the flower materials, is the benchmark ethylene release rate of the th flower material, is the benchmark surface area of the th flower material,

[0199] Optionally, the customization information analysis module 303 is specifically configured to:

[0200] According to the bouquet customization information set, count the target flower material type set and the target bouquet accessory set;

[0201] According to the purchase cycle set by the merchant, according to the customized demand dates corresponding to different users in the bouquet customization information set, divide several purchase batches to determine the purchase batch information set;

[0202] Based on the purchase batch information set, analyze the target flower material type set, and according to the loss rate corresponding to each type of flower material in the historical purchase information in the target flower material type set, determine the purchase redundancy of each type of flower material in each purchase batch;

[0203] According to the target bouquet accessory set, the purchase batch information set and the purchase redundancy, construct the target purchase information.

[0204] Optionally, the purchase plan analysis module 304 is specifically configured to:

[0205] Based on the channel merchant information set, analyze the target purchase information to determine several target channel merchants corresponding to each type of flower material in the target purchase information;

[0206] Extract the historical transaction records corresponding to each target channel merchant according to the channel merchant information set, so as to determine the total historical purchase quantity, the total historical purchase cost, the historical freshness compliance rate, and the historical performance risk of the current merchant for each type of flower material under the corresponding target channel merchant;

[0207] Perform comprehensive cost optimization processing on each type of flower material according to the total historical purchase quantity, the total historical purchase cost, the historical freshness compliance rate, and the historical performance risk of each type of flower material under the corresponding target channel merchant, determine the optimal purchase channel merchant corresponding to each type of flower material, and thus construct and output the targeted purchase plan.

[0208] Optionally, when the purchase plan analysis module 304 performs comprehensive cost optimization processing on each type of flower material according to the total historical purchase quantity, the total historical purchase cost, the historical freshness compliance rate, and the historical performance risk of each type of flower material under the corresponding target channel merchant, the specific formula is as follows:

[0209] ;

[0210] Among them, is the preset unit price influence weight, is the total historical purchase cost of the current type of flower material under the th target channel merchant, is the total historical purchase quantity of the current type of flower material under the th target channel merchant, is the preset freshness influence weight, is the historical freshness compliance rate of the current type of flower material under the th target channel merchant, is the historical performance risk of the current type of flower material under the th target channel merchant, is the preset performance risk weight.

[0211] The system of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effects are similar, which will not be elaborated here.

Claims

1. An e-commerce management method based on flower sales, characterized in that: include: Obtaining user usage demand information, analyzing the user usage demand information, constructing a bouquet usage scenario, and determining and outputting a pre-selected customized flower material set; the user usage demand information is used to characterize the description information of the user's own flower demand, and the user usage demand information is provided by the user through an information filling interface; Obtain the bouquet customization operation feedback from the user based on the pre-selected customized flower material set, and determine the bouquet customization information set; Analyze the bouquet customization information set, modularize and classify the bouquet customization information set, and determine target purchase information; Acquire a channel business information set, and determine and output a targeted purchase plan based on the channel business information set and the target purchase information; The analyzing the user usage demand information, constructing a bouquet usage scenario, and determining and outputting a pre-selected customized flower material set includes: Analyze the user usage demand information, extract the emotional feature word set, the customized demand date and the user demand location coordinates; Analyze the sentiment feature word set to determine the word frequency-inverse document frequency weight and standard sentiment score corresponding to each sentiment feature word; Determine the user's target holiday date according to the customized demand date, and determine the timeliness coefficient according to the customized demand date and the user's target holiday date; Constructing a scene feature vector according to the word frequency-inverse document frequency weight, the standard sentiment score, the timeliness coefficient and the user demand location coordinates; According to the scene feature vector, the preset flower material data map is searched and matched to determine and output the pre-selected customized flower material set.

2. The method according to claim 1, characterized in that The scene feature vector is constructed according to the word frequency-inverse document frequency weight, the standard sentiment score, the timeliness coefficient and the user demand location coordinates, specifically the following formula: Where V is the scene feature vector, n is the total number of emotional feature words, and w i is the word frequency-inverse document frequency weight of the i-th sentiment feature word, S(e i ) is the standard sentiment score of the i-th sentiment feature word, Φ(t) is the timeliness coefficient, λ is the attenuation factor, t is the customized demand date, t0 is the user's target holiday date, and Ψ(x, y) is the user's demand location coordinate.

3. The method according to claim 1, characterized in that The step of obtaining the bouquet customization operation fed back by the user according to the pre-selected customized flower material set and determining the bouquet customization information set includes: According to the pre-selected customized flower material set, an AR virtual bouquet customization interface is provided to the user, and according to the operation trajectory data fed back by the user, a spatial combination effect of the flower materials is rendered in real time; According to the operation trajectory data, the user's implicit preference for flowers is identified through trajectory clustering analysis, and the ranking weights of the pre-selected flowers are dynamically adjusted to generate flower combination information; Analyze the flower material combination information, evaluate the flower material combination stability, determine the flower material stability information, and feed back the corresponding flower material combination adjustment information to the user, and receive user confirmation information; A bouquet customization information set is determined according to the user confirmation information.

4. The method according to claim 3, characterized in that The step of analyzing the flower material combination information, evaluating the flower material combination stability, and determining the flower material stability information includes: According to the flower material combination information, the total number of flower materials, the fixed radius of the flower materials, the centroid of the combined flower materials, the position vector of each flower material, and the flower material type are extracted; According to the flower material type of each flower material, determining the ethylene tolerance threshold of the flower material combination, the baseline mass, the baseline ethylene release rate and the baseline surface area of ​​each flower material; Based on the fixed radius of the flower material, the centroid of the combined flower material and the total number of the flower materials, and according to the reference mass and the position vector of each flower material, a physical stability determination condition is constructed; Determine the expected bouquet retention time according to the customized demand date and the user's target holiday date; Based on the ethylene tolerance threshold of the flower material combination and the estimated bouquet retention time, and according to the reference ethylene release rate and the reference surface area of ​​each flower material, a biochemical stability determination condition is constructed; According to the physical stability determination condition and the biochemical stability determination condition, it is determined whether the physical stability or biochemical stability corresponding to the current flower material combination meets the standard, and a determination result is determined as the flower material stability information.

5. The method according to claim 4, characterized in that Based on the fixed radius of the flower material, the centroid of the combined flower material and the total number of the flower materials, the physical stability judgment condition is constructed according to the reference mass and the position vector of each flower material, which is specifically the following formula: Wherein, n is the total number of flowers, m i is the benchmark quality of the i-th flower material, is the position vector of the i-th flower material, is the centroid of the combined flower material, δ is the fixed radius of the flower material; Based on the ethylene tolerance threshold of the flower material combination and the estimated bouquet retention time, the biochemical stability determination condition is constructed according to the benchmark ethylene release rate and the benchmark surface area of ​​each flower material, specifically the following formula: Wherein, n is the total number of flowers, e j is the baseline ethylene release rate of the i-th flower material, A j is the reference surface area of ​​the i-th flower material, t is the expected bouquet retention time, E s The ethylene tolerance threshold for the flower material combination.

6. The method according to claim 5, characterized in that The analyzing the bouquet customization information set, modularizing and classifying the bouquet customization information set, and determining target purchase information includes: According to the bouquet customization information set, a target flower material type set and a target bouquet attachment set are counted; According to the purchase cycle set by the merchant, and according to the customization demand dates corresponding to different users in the bouquet customization information set, a number of purchase batches are divided to determine the purchase batch information set; Based on the purchase batch information set, the target flower material type set is analyzed, and the purchase redundancy corresponding to each type of flower material in each purchase batch is determined according to the depreciation rate corresponding to each type of flower material in the target flower material type set in the historical purchase information; The target purchase information is constructed according to the target bouquet attachment set, the purchase batch information set and the purchase redundancy.

7. The method according to claim 6, wherein based on the channel information set and according to the target purchase information, a targeted purchase plan is determined and outputted, characterized in that: include: Based on the channel merchant information set, analyzing the target purchase information, and determining a number of target channel merchants corresponding to each type of flower material in the target purchase information; According to the channel merchant information set, extract the historical transaction records corresponding to each target channel merchant, so as to determine the historical total purchase volume, historical total purchase cost, historical freshness compliance rate and historical contract performance risk of the current merchant for each type of flower material from the corresponding target channel merchant; Based on the total historical purchase volume, the total historical purchase cost, the historical freshness compliance rate and the historical performance risk of each type of flower material under the corresponding target channel merchant, comprehensive cost optimization processing is performed on each type of flower material, and the optimal purchase channel merchant corresponding to each type of flower material is determined, so as to construct and output the targeted purchase plan.

8. The method according to claim 7, characterized in that According to the total historical purchase volume, the total historical purchase cost, the historical freshness compliance rate and the historical contract performance risk of each type of flower material under the corresponding target channel business, the comprehensive cost optimization process is performed on each type of flower material, specifically the following formula: Among them, λ1 is the preset unit price influence weight, p i is the total historical purchase cost of the current type of flowers from the i-th target channel, q i is the total historical purchase volume of the current type of flowers from the i-th target channel, λ2 is the preset freshness impact weight, and f i is the historical freshness compliance rate of the current type of flowers under the i-th target channel, r i is the historical performance risk of the current type of flowers under the i-th target channel merchant, and λ3 is the preset performance risk weight.

9. An e-commerce management system based on flower sales, characterized in that: Applied to perform the method according to any one of claims 1 to 8, comprising: A demand analysis module is used to obtain user usage demand information, analyze the user usage demand information, construct a bouquet usage scenario, and determine and output a pre-selected customized flower material set; The bouquet customization module is used to obtain the bouquet customization operation feedback from the user based on the pre-selected customized flower material set and determine the bouquet customization information set; A customized information analysis module is used to analyze the bouquet customized information set, modularize and classify the bouquet customized information set, and determine target purchase information; The purchase plan analysis module is used to obtain a channel business information set, and based on the channel business information set and the target purchase information, determine and output a targeted purchase plan.

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