E-commerce management system and method based on fresh flower selling

Abstract

The invention relates to the technical field of fresh flower e-commerce selling, in particular to an e-commerce management system and method based on fresh flower selling. The method comprises the following steps: acquiring user use demand information, analyzing the user use demand information, constructing a bouquet use scene, and determining and outputting a pre-selected customized flower material set; acquiring bouquet customization operation fed back by the user according to the pre-selected 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; and obtaining a channel provider information set, and determining and outputting a targeted purchase plan based on the channel provider information set according to the target purchase information. According to the bouquet customizing method and device, while a highly personalized bouquet customizing space is provided for the user, a reasonable and effective purchase plan is rapidly formulated for the merchant under the condition that the merchant faces a large number of online customized bouquets.

Description

Technical Field

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

[0002] As people's living standards improve, flowers play an increasingly important role in daily life, especially in festivals, weddings, celebrations and other occasions. Consumers' demand for customized and personalized flowers has increased significantly. At the same time, the rapid development of e-commerce has enabled consumers to conveniently purchase flowers online, thereby driving the growth of the flower e-commerce market.

[0003] However, existing e-commerce management methods for selling flowers provide users with little room for bouquet customization, and it is difficult to quickly formulate reasonable and effective purchasing plans for merchants when they receive a large number of highly customized online demands, resulting in a poor user experience, as well as causing merchants to face heavy inventory pressure and flower material losses, and low goods turnover efficiency. Summary of the invention

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

[0005] In a first aspect, the present application provides an e-commerce management method based on flower sales, the method comprising: 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; 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; 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.

[0006] Through this solution, a bouquet usage scenario is constructed according to user usage demand information, so as to determine the pre-selected customized flower material set that meets the user's bouquet usage scenario. On this basis, the bouquet customization information set is determined according to the bouquet customization operation feedback from the user, and the target purchase information required to meet the bouquet customization needs is determined through modular disassembly, classification and statistics of the bouquet customization information set. Combined with the target purchase information, a targeted purchase plan is determined and output. While providing users with a highly personalized bouquet customization space, when merchants face a large number of online customized bouquet demands, a reasonable and effective purchase plan can be quickly formulated for merchants, thereby improving users' flower shopping experience and reducing merchants' inventory pressure and flower material loss.

[0007] Optionally, 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.

[0008] Through this solution, we analyze user demand information, extract the set of sentiment feature words that affect the pre-selected customized flower material screening process, the customization demand date and the user demand location coordinates, and further analyze and obtain the word frequency-inverse document frequency weight, standard sentiment score and timeliness coefficient that reflect the above influence. On this basis, we integrate the scene feature vector that reflects the user's flower usage scene characteristics, and use it as the retrieval basis to search and match the preset flower material data map, determine and output the pre-selected customized flower material set that meets the current user's flower usage scene needs, and improve the accuracy and comprehensiveness of the flower material data in the pre-selected customized flower material set.

[0009] Optionally, 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 is specifically the following formula: ; in, is the scene feature vector, is the total number of sentiment feature words, For the The word frequency-inverse document frequency weight of the sentiment feature word, For the The standard sentiment score of the sentiment feature word, is the aging coefficient, is the attenuation factor, The date of customization requirement, is the user's target holiday date, is the location coordinate required by the user.

[0010] Through this scheme, mathematical analysis methods are used to describe the user scenario characteristics of users from three dimensions: emotion, time and space, according to the word frequency-inverse document frequency weight, standard sentiment score, timeliness coefficient and user demand location coordinates, so as to integrate and obtain the scenario feature vector, improve the scientificity and comprehensiveness of the scenario feature vector, and further improve the accuracy of the pre-selected flower information set.

[0011] Optionally, obtaining the bouquet customization operation fed back by the user according to the pre-selected customized flower material set to determine 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.

[0012] Through this solution, an AR virtual bouquet customization interface is provided to users according to the pre-selected customized flower material set, and the flower material spatial combination effect is rendered in real time according to the user's operation trajectory data. At the same time, the user's implicit preference for flowers is analyzed to adjust the sorting weight of the pre-selected flowers. Flower material combination information is generated after integration, and the stability of the corresponding flower material combination in the flower material combination information is further evaluated. The corresponding flower material combination adjustment information is fed back to the user, and after the user confirms, the bouquet customization information set is integrated to enable users to select and adjust the flower material combination more easily, intuitively feel the overall style and color matching effect, and at the same time ensure the stability of the flower material combination, thereby improving the matching degree between the user's customized bouquet and the user's preferences.

[0013] Optionally, 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.

[0014] Through this scheme, starting from the 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 benchmark mass and position vector of each flower material, physical stability judgment conditions are constructed, and based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, according to the benchmark ethylene release rate and benchmark surface area of ​​each flower material, biochemical stability judgment conditions are constructed, and the judgment results based on the above judgment conditions are used as 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 material meets the standard.

[0015] Optionally, based on the fixed radius of the flower material, the centroid of the combined flower material and the total number of the flower materials, according to the reference mass and the position vector of each flower material, a physical stability judgment condition is constructed, which is specifically the following formula: ; in, is the total number of flowers, For the The benchmark quality of each flower material, For the The position vector of the flower material, As the center of the combined flower material, Fixed radius for flowers; 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: ; in, is the total number of flowers, For the The baseline ethylene release rate of each flower material, For the The base surface area of ​​the flower material, The estimated time for the bouquet to be kept, The ethylene tolerance threshold for the flower material combination.

[0016] Through this scheme, mathematical analysis is used to construct physical stability judgment conditions 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 benchmark mass and position vector of each flower material. Based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, according to the benchmark ethylene release rate and benchmark surface area of ​​each flower material, biochemical stability judgment conditions are constructed to improve the scientificity and accuracy of the physical stability judgment conditions and biochemical stability judgment conditions.

[0017] Optionally, 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.

[0018] Through this solution, based on the merchant's purchase cycle and the corresponding depreciation rate of each type of flower material in the historical purchase information, the target flower materials and target bouquet accessories required at different time points in the bouquet customization information set are classified and divided into purchase batches. At the same time, sufficient purchase redundancy is reserved for the flower material purchase stage. By integrating the target bouquet accessory set, the purchase batch information set and the purchase redundancy, the target purchase information is constructed to improve the merchant's purchase efficiency under the influence of a large number of customized demands, and prevent the delivery time from being delayed due to the depreciation rate of the flower materials after the purchase is completed.

[0019] Optionally, the determining and outputting of a targeted purchase plan based on the channel business information set and the target purchase information is characterized by comprising: 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.

[0020] Through this solution, each type of flower material is taken as the smallest unit to screen channel merchants, determine several target channel merchants, and combine the current merchant's historical transaction information under the corresponding target channel merchant to optimize the comprehensive cost of the purchase process of each type of flower material, determine the optimal purchase channel merchant for each type of flower material, and build and output a targeted purchase plan to enable the targeted purchase plan to meet the merchants' high-efficiency and low-cost purchase needs when dealing with a large number of customized needs.

[0021] Optionally, the comprehensive cost optimization process is performed on each type of flower material according to the total historical purchase amount, 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 business, specifically the following formula: ; in, To preset the unit price impact weight, For the current type of flowers The total historical purchase cost of each target channel dealer, For the current type of flowers The total historical purchase volume of each target channel merchant, To preset the freshness impact weight, For the current type of flowers The historical freshness compliance rate under the target channel partners, For the current type of flowers The historical performance risk of the target channel partners, The default performance risk weight.

[0022] Through this plan, mathematical analysis is used to optimize the overall cost based on the total historical purchase volume, total historical purchase cost, historical freshness compliance rate and historical contract performance risk of each type of flower material under the corresponding target channel merchants. The unit cost, freshness and contract performance of different types of flower materials from different channel merchants are used to optimize the overall cost. When the overall cost is minimized, the channel merchant corresponding to each type of flower material is the optimal channel merchant in the current purchase plan, thereby improving the scientific nature and accuracy of the targeted purchase plan.

[0023] In a second aspect, the present application provides an e-commerce management system based on flower sales, the system 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0025] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flowchart of an e-commerce management method based on flower sales provided in one embodiment of the present application; Figure 3 A structural diagram of an e-commerce management system based on flower sales provided in one embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0029] The existing e-commerce management methods for selling flowers provide users with little space for bouquet customization, and it is difficult to quickly formulate reasonable and effective purchasing plans for merchants when merchants receive a large number of highly customized online demands, resulting in poor user experience, and causing merchants to have heavy inventory pressure and flower material losses, as well as low goods turnover efficiency.

[0030] Based on this, the present application provides an e-commerce management method and system based on flower sales. According to the user's usage demand information, a bouquet usage scenario is constructed to determine the pre-selected customized flower material set that meets the user's bouquet usage scenario. On this basis, according to the bouquet customization operation feedback from the user, a bouquet customization information set is determined, and the target purchase information required to meet the bouquet customization demand is determined through modular disassembly, classification and statistics of the bouquet customization information set. Combined with the target purchase information, a targeted purchase plan is determined and output, providing users with a highly personalized bouquet customization space. When merchants face a large number of online customized bouquet demands, a reasonable and effective purchase plan is quickly formulated for merchants, thereby improving users' flower shopping experience and reducing merchants' inventory pressure and flower material loss.

[0031] Figure 1 A schematic diagram of an application scenario provided by this application. In the process of online flower sales, the method provided by this application is applied to provide users with a highly personalized bouquet customization space, and when merchants face a large number of online customized bouquet demands, they can quickly formulate a reasonable and effective purchase plan for the merchants.

[0032] Specifically, the method of the present application is applied to any server, through which the user usage demand information provided by the user is obtained and analyzed, and a bouquet usage scenario is constructed to determine a pre-selected customized flower material set that meets the user's bouquet usage scenario. On this basis, according to the bouquet customization operation feedback from the user, a bouquet customization information set is determined, and the target purchase information required to meet the bouquet customization demand is determined by modularizing and classifying the bouquet customization information set. Combined with the target purchase information, the corresponding targeted purchase plan is provided to the merchant, so that a highly personalized bouquet customization space is provided to the user. When the merchant faces a large number of online customized bouquet demands, a reasonable and effective purchase plan is quickly formulated for the merchant, thereby improving the user's flower shopping experience and reducing the merchant's inventory pressure and flower material loss.

[0033] For specific implementation methods, please refer to the following embodiments.

[0034] Figure 2 This is a flowchart of an e-commerce management method based on flower sales provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201, 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.

[0035] The user usage demand information may be descriptive information about the user's own flower usage demand, and the user usage demand information is provided by the user through an information filling interface.

[0036] The flower bouquet usage scenario may be a flower bouquet usage scenario obtained after analyzing the flower needs of users.

[0037] The pre-selected customized flower material set may be a set of flower material information suitable for the current user's bouquet usage scenario for the user to select.

[0038] Specifically, the demand for flower sales varies greatly, and customization requirements are high. Information such as the purpose of flower use, user aesthetic preferences, and flower usage scenarios directly determine user needs. Different flowers have different symbolic meanings. If the customized bouquet is incompatible or contrary to the user's usage scenario, it is easy to cause user loss. Through mathematical analysis, the user's usage demand information provided by the user is analyzed and constructed to construct the user's current usage scenario of purchasing bouquets. Based on this scenario, the user is provided with a number of pre-selected flowers to ensure that the flower materials will not match the user's usage scenario in the subsequent user's customized bouquet process, thereby ensuring the user's customized experience and providing an accurate data basis for the subsequent user's customized bouquet process.

[0039] S202: 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.

[0040] The bouquet customization operation may be a specific operation of the user on the flower material in the bouquet customization interface, and the bouquet customization operation is provided by the user through his purchasing terminal.

[0041] The bouquet customization information set may be a set containing the flower material information required for user customization.

[0042] Specifically, after determining the pre-selected customized flower material set, the flowers and other accessories (such as wrapping paper, cards, etc.) required for the customized bouquet are pushed to the user terminal through visualization technology, and according to the user's terminal operation (such as clicking, sliding, etc.), the customized combination effect of the flower materials selected by the user is displayed in real time to obtain the current user's bouquet customization information. The user can easily complete the flower material customization through a highly interactive visualization interface, and a bouquet customization information set is constructed by integrating the bouquet customization information of different users. This information set directly reflects the preferences of different users for flowers and their requirements for bouquet forms, which is convenient for subsequent unified purchase analysis based on the bouquet customization information set.

[0043] S203, analyzing the bouquet customization information set, modularizing and classifying the bouquet customization information set, and determining target purchase information.

[0044] The modular disassembly, classification and statistics may be a process of disassembling and classifying the customized bouquet information of different users collected in the bouquet customization information set to count the different types of flowers and accessories in the bouquet customization information set.

[0045] The target purchase information may be information on target goods that need to be purchased to meet the bouquet customization requirements of each user in the bouquet customization information set.

[0046] Specifically, the bouquet customization information set contains a large amount of bouquet customization information submitted by different users. The flowers and packaging accessories corresponding to different bouquet customization information are different. In order to make the merchant's purchasing goals highly match the user's bouquet customization needs and reduce the merchant's inventory pressure and flower material loss, the different types of flowers and packaging accessories in the bouquet customization information set are uniformly classified and counted to clarify the current merchant's purchasing needs for each type of flowers and packaging accessories, build target purchasing information, and automatically and quickly count the purchasing goals from massive bouquet customization data, thereby improving the merchant's purchasing processing efficiency.

[0047] S204: Obtain a channel business information set, and based on the channel business information set and target purchase information, determine and output a targeted purchase plan.

[0048] The channel merchant information set may be an information set of various purchasing channel merchants that the current merchant can connect with, and the channel merchant information set may be provided by the merchant through a corresponding information submission interface.

[0049] The targeted purchasing plan may be an adaptive purchasing plan obtained based on the target purchasing information of the current merchant and the corresponding channel merchant information.

[0050] Specifically, after determining the target purchase information, since the target purchase information contains a large number of different types of flower material demands, and different types of flower materials have differences in quality, price and other factors from different purchase channel merchants, through mathematical analysis, based on the target purchase information and channel merchant information set, an efficient and high-quality targeted purchase plan is obtained when the current merchant faces the corresponding purchase target in the target purchase information.

[0051] Through this solution, a bouquet usage scenario is constructed according to user usage demand information, so as to determine the pre-selected customized flower material set that meets the user's bouquet usage scenario. On this basis, the bouquet customization information set is determined according to the bouquet customization operation feedback from the user, and the target purchase information required to meet the bouquet customization needs is determined through modular disassembly, classification and statistics of the bouquet customization information set. Combined with the target purchase information, a targeted purchase plan is determined and output. While providing users with a highly personalized bouquet customization space, when merchants face a large number of online customized bouquet demands, a reasonable and effective purchase plan can be quickly formulated for merchants, thereby improving users' flower shopping experience and reducing merchants' inventory pressure and flower material loss.

[0052] In some embodiments, user usage demand information is analyzed to extract a set of sentiment feature words, a customized demand date, and user demand location coordinates; the sentiment feature word set is analyzed to determine the word frequency-inverse document frequency weight and the standard sentiment score corresponding to each sentiment feature word; based on the customized demand date, the user's target holiday date is determined, and based on the customized demand date and the user's target holiday date, the timeliness coefficient is determined; based on the word frequency-inverse document frequency weight, the standard sentiment score, the timeliness coefficient, and the user demand location coordinates, a scene feature vector is constructed; based on the scene feature vector, the preset flower material data map is retrieved and matched, and the pre-selected customized flower material set is determined and output.

[0053] The emotion feature word set may be a feature keyword set in the user usage demand information that can map the user's emotion.

[0054] The customization requirement date may be the date of arrival of the customized bouquet required by the user.

[0055] The user's required location coordinates may be the user's required delivery address coordinates for the customized bouquet.

[0056] The term frequency-inverse document frequency weight may be a quantitative indicator for evaluating the importance of a keyword in text information.

[0057] The standard sentiment score may be a quantitative indicator used to characterize the sentiment tendency of a keyword.

[0058] The user's target holiday date may be the estimated date of use of the user's customized bouquet.

[0059] The timeliness coefficient may be a quantitative indicator used to reflect the length of time that a user retains flowers.

[0060] The scene feature vector may be vector information used to reflect the comprehensive features of the scene in which the user customizes the bouquet.

[0061] The preset flower material data map may be a preset data map storing characteristics of various flower materials.

[0062] Specifically, through natural language analysis technology, sentiment feature words (such as "romantic", "grateful", "blessing", "sorry", etc.) are extracted from the user usage demand information provided by the user, and a set of sentiment feature words is constructed. Then, through the word frequency-inverse document frequency analysis technology and the sentiment dictionary matching algorithm, the word frequency-inverse document frequency weight and the standard sentiment score corresponding to each sentiment feature word are determined respectively. The above parameter indicators can reflect the sentiment orientation of the bouquet required by the user. At the same time, the customization demand date and the user demand location coordinates are extracted from the user usage demand information. According to the customization demand date, the holiday date with possible flower delivery close to the customization demand date (generally on the day of the customization demand date or the day after the customization demand date) is retrieved. If there is no corresponding similar holiday date, the customization demand date is used as the user's target holiday date, and then the data is used to match the flower bouquet to the user's desired flower bouquet. The timeliness coefficient is quantified according to the customization demand date and the user's target holiday date through mathematical analysis. The larger the coefficient is, the longer the retention time of the bouquet from the time it is received by the user to the time it is used. The retention time directly affects the screening of subsequent pre-selected customized flowers. The larger the timeliness coefficient is, the more the subsequent pre-selected customized flowers tend to be those with a long shelf life. The user demand location coordinates reflect the time required for the flowers to reach the user after the customization is completed. The length of this time also affects the screening of subsequent pre-selected customized flowers. According to the word frequency-inverse document frequency weight, standard sentiment score, timeliness coefficient and user demand location coordinates, a scene feature vector is constructed through mathematical analysis to quantify the user's flower use scene characteristics, and then matched with the corresponding flower data in the preset flower data map to determine and output the pre-selected customized flower set.

[0063] Through this solution, we analyze user demand information, extract the set of sentiment feature words that affect the pre-selected customized flower material screening process, the customization demand date and the user demand location coordinates, and further analyze and obtain the word frequency-inverse document frequency weight, standard sentiment score and timeliness coefficient that reflect the above influence. On this basis, we integrate the scene feature vector that reflects the user's flower usage scene characteristics, and use it as the retrieval basis to search and match the preset flower material data map, determine and output the pre-selected customized flower material set that meets the current user's flower usage scene needs, and improve the accuracy and comprehensiveness of the flower material data in the pre-selected customized flower material set.

[0064] In some embodiments, a scene feature vector is constructed based on the word frequency-inverse document frequency weight, the standard sentiment score, the timeliness coefficient, and the user demand location coordinates, specifically the following formula: ; in, is the scene feature vector, is the total number of sentiment feature words, For the The word frequency of sentiment feature words - inverse document frequency weight, For the The standard sentiment score of sentiment feature words, is the time efficiency coefficient, is the attenuation factor, To customize the required date, The target holiday date for the user. The location coordinates required by the user.

[0065] The attenuation factor may be a quantitative coefficient used to control the degree of influence of the difference between the customized demand date and the user's target holiday date on the timeliness coefficient.

[0066] Specifically, through Comprehensively describe multiple emotional tendencies reflected in user demand information (such as "gratitude" and "romance" coexisting), where the word frequency-inverse document frequency weight setting can be based on the TF-IDF weight algorithm; Describe the impact relationship between the difference between the customized demand date and the user's target holiday date and the timeliness coefficient; then combine the user's demand location coordinates to comprehensively describe the scene characteristics from the three dimensions of emotion, time and space to obtain the scene feature vector.

[0067] Through this scheme, mathematical analysis methods are used to describe the user scenario characteristics of users from three dimensions: emotion, time and space, according to the word frequency-inverse document frequency weight, standard sentiment score, timeliness coefficient and user demand location coordinates, so as to integrate and obtain the scenario feature vector, improve the scientificity and comprehensiveness of the scenario feature vector, and further improve the accuracy of the pre-selected flower information set.

[0068] In some embodiments, based on the pre-selected customized flower material set, an AR virtual bouquet customization interface is provided to the user, and the flower material spatial combination effect is rendered in real time based on the operation trajectory data fed back by the user; based on the operation trajectory data, the user's implicit preference for flowers is identified through trajectory clustering analysis, the sorting weights of the pre-selected flowers are dynamically adjusted, and flower material combination information is generated; 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; based on the user confirmation information, the bouquet customization information set is determined.

[0069] The AR virtual bouquet customization interface can be a visual interface generated based on AR technology according to a pre-selected flower set to provide users with a customized bouquet experience. The AR virtual 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 a 3D modeling tool.

[0070] The operation trajectory data may be trajectory data corresponding to the operation performed by the user when customizing a bouquet in the AR virtual bouquet customization interface. The operation trajectory data may be obtained through an event listener built into the AR virtual bouquet customization interface.

[0071] The spatial combination effect of flowers may be the combination effect of various types of flowers selected by the user in the AR virtual bouquet customization interface.

[0072] The user's implicit preference for flower materials may be the user's implicitly expressed preference for flower materials obtained through analysis of the operation trajectory data.

[0073] The flower material combination information may be flower material combination information determined according to the flower materials and combination methods selected by the user.

[0074] The flower material stability information may be information used to characterize the stability of the current user-customized bouquet (which may include physical stability and biochemical stability).

[0075] Specifically, in the traditional bouquet customization method, it is difficult for users to select flowers through simple text descriptions or pictures to achieve accurate configuration, which lacks intuitiveness and interactivity. AR technology can use augmented reality to allow users to clearly see the combination effect of flowers in the real environment during the customization process. The real-time rendering of the AR virtual interface greatly increases the visibility of the flower combination effect, allowing users to more easily select and adjust the flower combination, intuitively feel the overall style and color matching effect, thereby enhancing interest in purchasing or customization. Through the user's operation trajectory data, not only can its explicit flower customization selection be recorded, but also the user's implicit preference for flowers can be clarified (such as decisive choice of certain flowers). According to the flowers selected by the user, the combination effect obtained by the operation and the sorting weight containing implicit preferences, the flower combination is integrated to obtain Combination information, and on this basis, evaluate the stability of the user's customized flower combination, because in actual operation, the flower combination not only involves aesthetic issues, but also is related to actual physical stability and biochemical stability. For example, the shape or combination of some flowers may be unstable, or the combination of some flowers may cause some flowers to wither faster. Through mathematical analysis, from the two directions of physical stability and biochemical stability, quantify the corresponding indicators of user evaluation of flower stability, and adjust the flower combination information customized by the current user according to the corresponding indicators and the user's implicit preference for flowers (giving priority to retaining the user's implicit preference for flowers), feed back the corresponding flower combination adjustment information to the user, receive user confirmation information, and after the user confirms, use the adjusted flower combination information as the bouquet customization information set.

[0076] Through this solution, an AR virtual bouquet customization interface is provided to users according to the pre-selected customized flower material set, and the flower material spatial combination effect is rendered in real time according to the user's operation trajectory data. At the same time, the user's implicit preference for flowers is analyzed to adjust the sorting weight of the pre-selected flowers. Flower material combination information is generated after integration, and the stability of the corresponding flower material combination in the flower material combination information is further evaluated. The corresponding flower material combination adjustment information is fed back to the user, and after the user confirms, the bouquet customization information set is integrated to enable users to select and adjust the flower material combination more easily, intuitively feel the overall style and color matching effect, and at the same time ensure the stability of the flower material combination, thereby improving the matching degree between the user's customized bouquet and the user's preferences.

[0077] In some embodiments, based on 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; based on the flower material type of each flower material, the ethylene tolerance threshold of the flower material combination, the baseline mass of each flower material, the baseline ethylene release rate and the baseline 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 baseline mass and position vector of each flower material, a physical stability judgment condition is constructed; based on the customized demand date and the user's target holiday date, the expected bouquet retention time is determined; based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, according to the baseline ethylene release rate and the baseline surface area of ​​each flower material, a biochemical stability judgment condition is constructed; based on the physical stability judgment condition and the biochemical stability judgment condition, it is judged whether the physical stability or biochemical stability corresponding to the current flower material combination meets the standard, and the judgment result is determined, which is used as the flower material stability information.

[0078] The fixed radius of flowers may be a fixed radius corresponding to a combination of several flowers to form a bouquet.

[0079] The centroid of the combined flower material may be the mass center of the corresponding flower material combination in the customized bouquet.

[0080] The position vector may be the position information of each flower material relative to the mass center of the flower material combination.

[0081] The ethylene tolerance threshold of the flower material combination may be the overall ethylene threshold that the corresponding flower material combination in the current customized bouquet can tolerate.

[0082] The benchmark mass may be the average unit mass of flowers corresponding to each type of flowers.

[0083] The benchmark ethylene release rate may be an average unit ethylene release rate of each type of flower material.

[0084] The reference surface area may be the average surface area corresponding to each type of flower material.

[0085] The physical stability determination condition may be a mathematical condition used to evaluate whether the physical stability of the current flower material combination meets the standard.

[0086] The estimated bouquet retention time may be the time during which the current customized bouquet is expected to be retained by the user before being officially used. The estimated bouquet retention time may be obtained by estimating the difference between the customization demand date and the user's target holiday date.

[0087] The biochemical stability determination condition may be a mathematical condition used to evaluate whether the biochemical stability of the current flower material combination meets the standard.

[0088] Specifically, in the process of evaluating the stability of flower material combinations, since the physical stability of flower material combinations is determined by factors such as spatial position, distribution layout and quality characteristics, mathematical analysis is used to construct mathematical conditions for evaluating the physical stability of flower material combinations based on the fixed radius of the flowers, the centroid of the combined flowers and the total number of flowers, according to the benchmark mass and position vector of each flower. The evaluation of the biochemical stability of flower material combinations mainly focuses on the ethylene release after the flower materials are combined. Flower materials that release a large amount of ethylene are not suitable to be in the same combined bouquet with flower materials that are sensitive to ethylene, because this will cause the ethylene-sensitive flowers in the bouquet to be released. The rapid wilt of flowers directly destroys the beauty of the bouquet. The impact of ethylene release is affected by the length of time the bouquet is retained. The longer the bouquet is retained, the more significant the impact of ethylene. Through mathematical analysis, based on the ethylene tolerance threshold of the flower combination and the expected bouquet retention time, according to the benchmark ethylene release rate and benchmark surface area of ​​each flower, mathematical conditions for evaluating the physical stability of the flower combination are constructed. According to the physical stability judgment conditions and biochemical stability judgment conditions, it is judged whether the physical stability or biochemical stability corresponding to the current flower combination meets the standards, and the corresponding judgment results are used as the flower stability information.

[0089] Through this scheme, starting from the 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 benchmark mass and position vector of each flower material, physical stability judgment conditions are constructed, and based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, according to the benchmark ethylene release rate and benchmark surface area of ​​each flower material, biochemical stability judgment conditions are constructed, and the judgment results based on the above judgment conditions are used as 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 material meets the standard.

[0090] In some embodiments, based on the fixed radius of the flower material, the centroid of the combined flower material and the total number of flower materials, a physical stability judgment condition is constructed according to the reference mass and position vector of each flower material, which is specifically the following formula (1): (1) in, is the total number of flowers, For the The benchmark quality of each flower material, For the The position vector of the flower material, As the center of the combined flower material, The radius of the flower material is fixed; based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, the biochemical stability judgment condition is constructed according to the benchmark ethylene release rate and benchmark surface area of ​​each flower material, specifically the following formula (2): (2) in, is the total number of flowers, For the The baseline ethylene release rate of each flower material, For the The base surface area of ​​the flower material, The estimated time for the bouquet to be kept, Vinyl withstand threshold for flower material combination.

[0091] Specifically, through formula (1) Describes the offset between each flower material in the current combination of flowers and the center of mass under the influence of its mass. When the offset is too large, that is, larger than the fixed radius, the risk of the combination of flowers overturning due to insufficient support will increase significantly. Therefore, in the physical stability judgment condition, the above offset should be smaller than the fixed radius. Evaluate the total amount of ethylene released by the current flower combination during the expected retention time. When the total amount of ethylene released is greater than the ethylene tolerance threshold of the flower combination, it means that the ethylene tolerance of the current flower combination has shortcomings, which will cause the appearance of the bouquet to be damaged by ethylene. Therefore, in the biochemical stability judgment conditions, the above total amount of ethylene release should be less than the ethylene tolerance threshold of the flower combination.

[0092] Through this scheme, mathematical analysis is used to construct physical stability judgment conditions 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 benchmark mass and position vector of each flower material. Based on the ethylene tolerance threshold of the flower material combination and the expected bouquet retention time, according to the benchmark ethylene release rate and benchmark surface area of ​​each flower material, biochemical stability judgment conditions are constructed to improve the scientificity and accuracy of the physical stability judgment conditions and biochemical stability judgment conditions.

[0093] In some embodiments, according to the bouquet customization information set, the target flower material type set and the target bouquet accessory set are counted; according to the purchase cycle set by the merchant and the customization demand dates corresponding to different users in the bouquet customization information set, several 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 according to the corresponding depreciation rate of each type of flower material in the target flower material type set in the historical purchase information, the purchase redundancy corresponding to each type of flower material in each purchase batch is determined; according to the target bouquet accessory set, the purchase batch information set and the purchase redundancy, the target purchase information is constructed.

[0094] The target flower material type set may be a set of corresponding flower material types required to complete the bouquet customization information set.

[0095] The target bouquet attachment set may be a collection of other attachments required to complete the bouquet customization information set.

[0096] The purchase cycle may be the cycle in which a merchant purchases goods.

[0097] The purchase batch information set may be a collection of information about flowers and accessories that the current merchant needs to purchase in different purchase cycles.

[0098] The loss rate can be the ratio of the amount of flowers lost due to various factors during the purchasing stage to the total number of flowers purchased.

[0099] The purchase surplus quantity can be the flower material purchase surplus quantity reserved to reduce the negative impact caused by the purchase depreciation rate of flower materials.

[0100] Specifically, in the merchant's purchasing process, there is usually a fixed purchasing cycle, and the depreciation rates of different types of flowers obtained by the merchant through different purchasing channels in each purchasing cycle are different. In the process of analyzing the target purchasing information, based on the merchant's purchasing cycle, the target flowers and target bouquet accessories required at different time points in the bouquet customization information set are classified and divided into purchase batches. At the same time, according to the depreciation rate of each type of flower in the historical purchasing information, sufficient purchase redundancy is reserved in the flower purchasing stage to prevent the delivery time from being delayed due to the depreciation rate of the flower after the purchase is completed. The target purchasing information is constructed by integrating the target bouquet accessory set, the purchasing batch information set and the purchase redundancy.

[0101] Through this solution, based on the merchant's purchase cycle and the corresponding depreciation rate of each type of flower material in the historical purchase information, the target flower materials and target bouquet accessories required at different time points in the bouquet customization information set are classified and divided into purchase batches. At the same time, sufficient purchase redundancy is reserved for the flower material purchase stage. By integrating the target bouquet accessory set, the purchase batch information set and the purchase redundancy, the target purchase information is constructed to improve the merchant's purchase efficiency under the influence of a large number of customized demands, and prevent the delivery time from being delayed due to the depreciation rate of the flower materials after the purchase is completed.

[0102] In some embodiments, based on the channel merchant information set, the target purchase information is analyzed to determine a number of target channel merchants corresponding to each type of flower material in the target purchase information; based on the channel merchant information set, the historical transaction records corresponding to each target channel merchant are extracted to determine the current merchant's total historical purchase volume, total historical purchase cost, historical freshness compliance rate, and historical fulfillment risk for each type of flower material under the corresponding target channel merchant; based on the total historical purchase volume, total historical purchase cost, historical freshness compliance rate, and historical fulfillment risk of each type of flower material under the corresponding target channel merchant, comprehensive cost optimization is performed on each type of flower material to determine the optimal purchase channel merchant corresponding to each type of flower material, so as to construct and output a targeted purchase plan.

[0103] The target channel merchants can be the suppliers of different types of flowers.

[0104] The total historical purchase volume may be the total purchase volume of the current type of flowers by the current merchant under the current channel in the historical purchase information.

[0105] The total historical purchase cost may be the total purchase cost of the current type of flowers by the current merchant under the current channel in the historical purchase information.

[0106] The historical freshness compliance rate may be the historical purchase information, in which the current merchant obtains the current type of flowers from the current channel provider with respect to the purchase freshness compliance rate.

[0107] The historical performance risk may be the performance risk of the current merchant's purchase contract for the current type of flowers under the current channel in the historical purchase information.

[0108] Comprehensive cost optimization processing can be a comprehensive optimization of different cost directions for the purchasing process of different types of flowers, such as monetary cost, time cost, quality cost, etc.

[0109] Specifically, the characteristics of different types of flowers (such as variety, regionality, seasonal requirements, etc.) may determine their appropriate supply channels. For example, some flowers may need to be supplied by channel merchants in a specific area. Classifying the target flowers and matching them with corresponding target channel merchants can avoid considering irrelevant channel merchants, reduce unnecessary data processing and supplier intervention, and determine the historical total purchase volume, historical total purchase cost, historical freshness compliance rate and historical performance risk of each type of flowers from the corresponding target channel merchants by the current merchant through screening and statistics of historical transaction records of channel merchants. The historical total purchase volume and historical total purchase cost reflect the overall pricing level of the channel merchants and provide a reference for purchase cost control. The historical freshness compliance rate reflects the quality and stability of the channel merchants' supply products, and the historical performance risk reflects the credibility and reliability of the channel merchants in contract execution. Through mathematical analysis, the above historical indicators are combined to optimize the comprehensive cost of each type of flowers, determine the optimal purchase channel merchant corresponding to each type of flowers, and use this to construct and output the targeted purchase plan.

[0110] Through this solution, each type of flower material is taken as the smallest unit to screen channel merchants, determine several target channel merchants, and combine the current merchant's historical transaction information under the corresponding target channel merchant to optimize the comprehensive cost of the purchase process of each type of flower material, determine the optimal purchase channel merchant for each type of flower material, and build and output a targeted purchase plan to enable the targeted purchase plan to meet the merchants' high-efficiency and low-cost purchase needs when dealing with a large number of customized needs.

[0111] In some embodiments, based on the historical total purchase volume, historical total purchase cost, historical freshness compliance rate and historical contract performance risk of each type of flower material under the corresponding target channel, a comprehensive cost optimization process is performed for each type of flower material, specifically, the following formula (3): (3) in, To preset the unit price impact weight, For the current type of flowers The total historical purchase cost of each target channel dealer, For the current type of flowers The total historical purchase volume of each target channel merchant, To preset the freshness impact weight, For the current type of flowers The historical freshness compliance rate under the target channel partners, For the current type of flowers The historical performance risk of the target channel partners, The default performance risk weight.

[0112] The preset unit price impact weight may be a quantitative value used to characterize the degree of impact of the unit price of flowers on the comprehensive purchase cost.

[0113] The preset freshness impact weight may be a quantitative value representing the degree of impact of the freshness of the flower material on the comprehensive purchase cost.

[0114] The preset performance risk weight can be a quantitative value that represents the impact of the contract performance risk on the comprehensive cost of purchasing.

[0115] Specifically, formula (3) is used to optimize the comprehensive cost based on the unit cost, freshness and contract performance of different types of flowers from different channels. When the comprehensive cost is minimized, the channel corresponding to each type of flower is the optimal channel in the current purchase plan, thereby improving the scientificity and accuracy of the targeted purchase plan.

[0116] Through this plan, mathematical analysis is used to optimize the overall cost based on the total historical purchase volume, total historical purchase cost, historical freshness compliance rate and historical contract performance risk of each type of flower material under the corresponding target channel merchants. The unit cost, freshness and contract performance of different types of flower materials from different channel merchants are used to optimize the overall cost. When the overall cost is minimized, the channel merchant corresponding to each type of flower material is the optimal channel merchant in the current purchase plan, thereby improving the scientific nature and accuracy of the targeted purchase plan.

[0117] Figure 3 A structural diagram of an e-commerce management system based on flower sales provided in one embodiment of the present application, such as Figure 3 As shown, an e-commerce management system 300 based on 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.

[0118] Demand analysis module 301, used to obtain user usage demand information, analyze the user usage demand information, construct a bouquet usage scenario, determine and output a pre-selected customized flower material set; The bouquet customization module 302 is used to obtain the bouquet customization operation feedback from the user according to the pre-selected customized flower material set, and determine the bouquet customization information set; The customized information analysis module 303 is used to analyze the bouquet customized information set, modularize and classify the bouquet customized information set, and determine the target purchase information; The purchase plan analysis module 304 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.

[0119] Optionally, the demand analysis module 301 is specifically used to: 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.

[0120] Optionally, the demand analysis module 301 constructs 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, which is specifically the following formula: ; in, is the scene feature vector, is the total number of sentiment feature words, For the The word frequency-inverse document frequency weight of the sentiment feature word, For the The standard sentiment score of the sentiment feature word, is the aging coefficient, is the attenuation factor, The date of customization requirement, is the user's target holiday date, is the location coordinate required by the user.

[0121] Optionally, the bouquet customization module 302 is specifically used for: 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.

[0122] Optionally, when analyzing the flower material combination information, evaluating the flower material combination stability, and determining the flower material stability information, the bouquet customization module 302 is specifically used to: 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.

[0123] Optionally, the bouquet customization module 302 constructs the physical stability judgment condition based on the fixed radius of the flower material, the centroid of the combined flower material and the total number of the flower materials, according to the reference mass and the position vector of each flower material, specifically the following formula: ; in, is the total number of flowers, For the The benchmark quality of each flower material, For the The position vector of the flower material, As the center of the combined flower material, Fixed radius for flowers; 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: ; in, is the total number of flowers, For the The baseline ethylene release rate of each flower material, For the The base surface area of ​​the flower material, For the estimated time to store the bouquet, The ethylene tolerance threshold for the flower material combination.

[0124] Optionally, the customized information analysis module 303 is specifically used to: 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.

[0125] Optionally, the purchase plan analysis module 304 is specifically used to: 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.

[0126] Optionally, the purchase plan analysis module 304 performs comprehensive cost optimization processing on each type of flower material according to the historical total purchase volume, the historical total purchase cost, the historical freshness compliance rate and the historical performance risk of each type of flower material under the corresponding target channel merchant, specifically the following formula: ; in, To preset the unit price impact weight, For the current type of flowers The total historical purchase cost of each target channel dealer, For the current type of flowers The total historical purchase volume of each target channel merchant, To preset the freshness impact weight, For the current type of flowers The historical freshness compliance rate under the target channel partners, For the current type of flowers The historical performance risk of the target channel partners, The default performance risk weight.

[0127] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail 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; 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; 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.

2. The method according to claim 1, characterized in that 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.

3. The method according to claim 2, 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: ； in, is the scene feature vector, is the total number of sentiment feature words, For the The word frequency-inverse document frequency weight of the sentiment feature word, For the The standard sentiment score of the sentiment feature word, is the aging coefficient, is the attenuation factor, The customization requirement date, is the user's target holiday date, is the location coordinate required by the user.

4. The method according to claim 2, 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.

5. The method according to claim 4, characterized in that The 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.

6. The method according to claim 5, 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: ； in, is the total number of flowers, For the The benchmark quality of each flower material, For the The position vector of the flower material, As the center of the combined flower material, Fixed radius for flowers; 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: ； in, is the total number of flowers, For the The baseline ethylene release rate of each flower material, For the The base surface area of ​​the flower material, For the estimated time to store the bouquet, The ethylene tolerance threshold for the flower material combination.

7. The method according to claim 6, 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.

8. The method according to claim 7, 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.

9. The method according to claim 8, 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: ； in, To preset the unit price impact weight, For the current type of flowers The total historical purchase cost of each target channel dealer, For the current type of flowers The total historical purchase volume of each target channel merchant, To preset the freshness impact weight, For the current type of flowers The historical freshness compliance rate under the target channel partners, For the current type of flowers The historical performance risk of the target channel partners, The default performance risk weight.

10. An e-commerce management system based on flower sales, characterized in that: include: 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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