A flower sales platform order management method and system
By analyzing orders and formulating packaging logic on the flower sales platform, the problem of ensuring flower quality and delivery timeliness when processing a large number of orders is solved, and efficient and accurate order processing and resource optimization are achieved.
Patent Information
- Application Number
- CN202510294488.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-13
- Publication Date
- 2025-04-08
- Estimated Expiration
- 2045-03-13
AI Technical Summary
When modern flower sales platforms handle large quantities of orders, it is difficult to ensure the quality of flowers and delivery time, and the existing order management system cannot effectively intervene.
By obtaining pending orders, analyzing the orders to determine bouquet information, formulating bouquet packaging logic, and determining the current amount to be packaged based on the order and warehousing information, and finally generating a combined production plan. This scheme uses image recognition and natural language processing technology to accurately extract bouquet information and determine the packaging logic and production plan through optimization algorithms.
It realizes the rapid and accurate processing of flower orders, ensuring the beauty and stability of the bouquet, reducing resource waste, improving production efficiency, reducing human error rates, and ensuring that flowers are delivered in the best condition.
Smart Images

Figure CN119784479A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of order management, and in particular to an order management method and system for a flower selling platform. Background Art
[0002] The order management of modern flower sales platforms can usually only achieve simple warehousing and payment collection. However, in the processing of a large number of orders for flower sales, how to ensure the quality of flowers and the timeliness of delivery is crucial, which is also beyond the reach of existing order management systems.
[0003] Traditional flower delivery management methods mainly rely on manual experience to make judgments. This method is prone to errors and is inefficient when processing large-scale orders. Summary of the invention
[0004] The present application provides an order management method and system for a flower selling platform to solve the above problems.
[0005] In a first aspect, the present application provides an order management method for a flower selling platform, the method comprising: Obtaining pending orders; analyzing the pending orders and determining bouquet information; Analyze the bouquet information and determine bouquet packaging logic; Determine the current quantity to be packaged according to the pending orders; A combination production plan is determined according to the bouquet packaging logic and the current amount to be packaged.
[0006] Through this solution, all pending order information can be quickly collected. Through image recognition and natural language processing technology, the type, quantity, arrangement relationship and other information of the flower materials of the bouquet can be accurately extracted. According to the bouquet information, a reasonable packaging logic is formulated, including the size and shape of the flower mud, the cutting length of the flower materials, the degree of spraying, etc., to ensure the beauty and stability of the bouquet. Combined with the order delivery time and the available storage space, the number of bouquets to be packaged is calculated to avoid excessive packaging that will cause the flowers to be unable to keep fresh. Similar orders are combined together to formulate the best production plan, reduce resource waste and improve production efficiency. Through the above solution, it is possible to directly replace manual judgment of flower orders, which is more scientific and reasonable, and can also avoid errors caused by human judgment and reduce the probability of errors.
[0007] Optionally, the pending order includes an order picture, and the analyzing the pending order to determine the bouquet information includes: Determine the flower type and material information based on the order picture; Analyze the order picture to obtain a picture analysis result, and determine the arrangement relationship between the plurality of flowers and the flower material craftsmanship according to the picture analysis result; The flower type, the material information, the arrangement relationship and the flower craftsmanship are used as the bouquet information.
[0008] This solution improves image quality, reduces noise interference, and provides clearer image data for flower identification. Accurately identify the types of flowers in the image to provide basic flower information for bouquet making. Accurately count the number of each flower to ensure that the materials for bouquet making are prepared accurately. Determine the spatial relationship and hierarchical structure between flowers to provide guidance for the arrangement design of the bouquet. Analyze the process requirements of flower pruning, bundling, decoration, etc. to provide process guidance for bouquet making. Identify and extract information about packaging materials to ensure that the packaging of the bouquet meets the requirements. Integrate all bouquet-related information into complete bouquet information data.
[0009] Optionally, the image analysis result includes the number of flowers; and the step of analyzing the bouquet information and determining bouquet packaging logic includes: Determine the size and shape of the floral mud according to the arrangement relationship and the number of flowers; Analyze the arrangement relationship to determine the cutting length of each flower material; Determine the degree of spraying according to the flower material process; Determine material placement information according to the material information and the image analysis result; The bouquet packaging logic is determined according to the size of the floral mud, the shape of the floral mud, the cutting length, the spraying degree and the material placement information.
[0010] This solution ensures that the floral mud can adapt to the arrangement and quantity of flowers, providing stable support for the bouquet while reducing the need for cold storage space. Accurately cut the flowers to meet the design requirements and improve the overall aesthetics and satisfaction of the bouquet. Through the spraying process, the color and texture of the flowers are enhanced to improve the visual effect of the bouquet while protecting the flowers from damage. Optimize the placement of materials to ensure the neatness and aesthetics of the bouquet packaging while reducing material waste. Form a set of standardized bouquet packaging processes to improve production efficiency, reduce human errors, and ensure that the bouquets are kept in the best condition during production and delivery.
[0011] Optionally, determining the current quantity to be packaged according to the pending orders includes: Analyze the pending orders and determine the delivery time of each pending order; Acquire flower storage information, analyze the flower storage information, and determine available storage space; The current amount to be packaged is determined according to the available storage space and the delivery time.
[0012] Through this solution, by analyzing the order time information, we can understand the urgency of each order and ensure on-time delivery. Identifying the actual situation of the storage space helps to reasonably arrange the storage and packaging of flowers and avoid order backlogs caused by insufficient space. Combining storage capacity and order time requirements, we can scientifically plan the number of bouquets that need to be packaged in the current time period and optimize the production process.
[0013] Optionally, determining the current amount to be packaged according to the available storage space and the delivery time includes: Obtain order information, and determine delivery requirements based on the order information; Determine the degree of freshness of flowers according to the delivery requirements; Determine the packing time according to the delivery time and the freshness of the flowers; The current amount to be packaged is determined according to the packaging time and the available storage space.
[0014] Through this solution, order information can be quickly collected to ensure the accuracy of order processing. The delivery time and other requirements are clarified to provide a basis for flower preservation and delivery to ensure that expectations are met. According to the requirements for flower freshness in the order information, reasonable arrangements are made for refrigeration and preservation measures to maintain the quality of flowers and improve satisfaction. Ensure that flowers are packaged in the best condition to avoid the quality of flowers being reduced due to early or delayed packaging, which affects the experience. According to the actual storage capacity and order processing time, the amount to be packaged is reasonably planned to avoid waste of resources caused by excessive packaging, while ensuring on-time delivery.
[0015] Optionally, determining a combination production plan according to the bouquet packaging logic and the current amount to be packaged includes: Determine the design complexity of each pending order based on the bouquet packaging logic; Determine the time required for packaging based on the complexity of the design; Analyze the bouquet packaging logic to determine whether there are at least two pending orders with the same design method; If so, at least two pending orders are combined according to the order delivery time, and a combination production plan for the at least two pending orders is generated according to the bouquet packaging logic.
[0016] Through this solution, by evaluating the design complexity of the order, resources and time can be reasonably allocated, and orders with high complexity can be prioritized to ensure a smooth production process. Accurately estimating the packaging time for each order helps to better plan production plans and human resources and avoid production bottlenecks. Orders with the same design method can be identified to reduce duplication of work and improve production efficiency. By combining orders with the same design method, batch production can be achieved, reducing the number of switching production lines and improving production efficiency. Generating a production plan for combined orders makes the production process more standardized and systematic, reducing the possibility of errors, and increasing the processing speed of orders.
[0017] Optionally, the method further includes: Determining the production efficiency of the pending order according to the packaging time consumed; Get the number of pending orders at the current moment; Determine whether to accept the order based on the production efficiency and the order quantity.
[0018] Through this solution, by analyzing the packaging time, the production efficiency of each order is quantified, so as to more accurately predict the production capacity and delivery time and optimize the production process. Real-time acquisition of order quantity helps to identify the current production pressure and resource requirements. Combining production efficiency and order quantity, make a decision on whether to accept new orders to avoid improper order processing due to insufficient resources or over-commitment.
[0019] Optionally, determining the design complexity of each pending order according to the bouquet packaging logic includes: Determine the time required to cut each flower material according to the number of flowers and the cutting length; Acquire spraying equipment information, and determine the spraying amount per unit time according to the spraying equipment information; Determining the spraying time according to the spraying degree and the spraying amount per unit time; Analyze the material placement information to determine the deformation process of each material; According to the deformation process, determine the material adjustment time and material placement time; Determining the difficulty of cutting the floral mud according to the shape and size of the floral mud; Determining the time consumption of the floral mud cutting according to the difficulty of the floral mud cutting; The design complexity of each order to be processed is determined based on the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time.
[0020] Through this solution, by quantifying the cutting time, the production process can be better planned to ensure that each flower material can be cut within the specified time, thereby avoiding production delays. Collecting information about spraying equipment helps to identify the working efficiency of the equipment. By determining the spraying amount, the spraying work can be accurately planned to ensure that the spraying work can be completed efficiently. According to the spraying time, the time of spraying work can be reasonably arranged to ensure that the spraying work can be completed on time. By analyzing the material placement information, the design requirements of the bouquet can be better analyzed. By calculating the material adjustment and placement time, the time of material placement work can be accurately planned to ensure that the material placement work can be completed on time. By evaluating the difficulty of flower mud cutting, the flower mud cutting work can be arranged to ensure that the flower mud cutting work can be completed efficiently. According to the flower mud cutting time, the time of flower mud cutting work can be reasonably arranged to ensure that the flower mud cutting work can be completed on time. By comprehensively calculating the cutting time, spraying time, material adjustment time, flower mud cutting time and material placement time, the design complexity of each order can be accurately evaluated.
[0021] Optionally, the design complexity of each pending order is determined according to the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time, referring to the following formula: ; in, Indicates the design complexity of each pending order; Indicates Cutting flowers is time-consuming; Indicates the quantity of the flowers; Indicates the degree of influence of the time consumption of cutting the flower material on the design complexity of each pending order; Indicates the degree of influence of the time consumption of floral mud cutting on the design complexity of each pending order; Indicates that the floral mud cutting takes time; Indicates the degree of influence of the material adjustment time on the design complexity of each pending order; Indicates the quantity of materials; Indicates the material adjustment time for each material; Indicates the influence of the spraying time on the design complexity of each pending order; Indicates the time taken for the spraying; Indicates the degree of influence of the material placement time on the design complexity of each pending order; Indicates the time taken to place each material.
[0022] Through this solution, the actual time of flower material processing can be accurately identified by collecting cutting time data. Calculating the total cutting time helps to evaluate the total workload of flower material processing. Setting the impact of cutting time helps to evaluate the order complexity according to the length of cutting time. By calculating the contribution value, the impact of cutting time on order complexity is quantified. Collecting spraying time data helps to analyze the efficiency of the spraying link. Setting the impact of spraying time helps to evaluate the complexity of the order according to the length of spraying time. By calculating the contribution value, the impact of spraying time on order complexity is quantified. Collecting material adjustment time data helps to analyze the efficiency of the material adjustment link. Calculating the total adjustment time helps to evaluate the total workload of material adjustment. Setting the impact of material adjustment time helps to evaluate the order complexity according to the length of material adjustment time. By calculating the contribution value, the impact of material adjustment time on order complexity is quantified. Collecting floral mud cutting time data helps to analyze the efficiency of floral mud cutting. Setting the impact of floral mud cutting time helps to evaluate the order complexity according to the length of floral mud cutting time. Setting the impact of the time required for flower mud cutting helps evaluate the complexity of orders based on the length of time it takes to cut the flower mud. Collecting material placement time data helps analyze the efficiency of the material placement process. Calculating the total placement time helps evaluate the total workload of material placement. Setting the impact of material placement time helps evaluate the complexity of orders based on the length of time it takes to place materials. By calculating the contribution value, quantify the impact of material placement time on order complexity. By calculating the design complexity of an order, you can more effectively manage orders, optimize production processes, improve production efficiency, and ensure on-time delivery of high-quality flower products.
[0023] In a second aspect, the present application provides an order management system for a flower selling platform, the system comprising: An order analysis module is used to obtain pending orders; analyze the pending orders and determine bouquet information; An information analysis module, used to analyze the bouquet information and determine the bouquet packaging logic; A packaging analysis module, used to determine the current amount to be packaged according to the pending orders; The production combination module is used to determine the combination production plan according to the bouquet packaging logic and the current amount to be packaged.
[0024] Optionally, the pending order includes an order picture, and the order analysis module analyzes the pending order to determine the bouquet information, and is used to: Determine the flower type and material information based on the order picture; Analyze the order picture to obtain a picture analysis result, and determine the arrangement relationship between the plurality of flowers and the flower material craftsmanship according to the picture analysis result; The flower type, the material information, the arrangement relationship and the flower craftsmanship are used as the bouquet information.
[0025] Optionally, the image analysis result includes the number of flowers; when the information analysis module analyzes the bouquet information and determines the bouquet packaging logic, it is used to: Determine the size and shape of the floral mud according to the arrangement relationship and the number of flowers; Analyze the arrangement relationship to determine the cutting length of each flower material; Determine the degree of spraying according to the flower material process; Determine material placement information according to the material information and the image analysis result; The bouquet packaging logic is determined according to the size of the floral mud, the shape of the floral mud, the cutting length, the spraying degree and the material placement information.
[0026] Optionally, when the packaging analysis module determines the current quantity to be packaged according to the pending orders, it is used to: Analyze the pending orders and determine the delivery time of each pending order; Acquire flower storage information, analyze the flower storage information, and determine available storage space; The current amount to be packaged is determined based on the available storage space and the delivery time.
[0027] Optionally, when the packaging analysis module determines the current amount to be packaged according to the available storage space and the delivery time, it is used to: Obtain order information, and determine delivery requirements based on the order information; Determine the degree of freshness of flowers according to the delivery requirements; Determine the packing time according to the delivery time and the freshness of the flowers; The current amount to be packaged is determined according to the packaging time and the available storage space.
[0028] Optionally, when the combination making module determines the combination making scheme according to the bouquet packaging logic and the current amount to be packaged, it is used to: Determine the design complexity of each pending order based on the bouquet packaging logic; Determine the time required for packaging based on the complexity of the design; Analyze the bouquet packaging logic to determine whether there are at least two pending orders with the same design method; If so, at least two pending orders are combined according to the order delivery time, and a combination production plan for the at least two pending orders is generated according to the bouquet packaging logic.
[0029] Optionally, the order management system of the flower selling platform includes an order acceptance judgment module, which is used to: Determining the production efficiency of the pending order according to the packaging time consumed; Get the number of pending orders at the current moment; Determine whether to accept the order based on the production efficiency and the order quantity.
[0030] Optionally, when the production combination module determines the design complexity of each pending order according to the bouquet packaging logic, it is used to: Determine the time required to cut each flower material according to the number of flowers and the cutting length; Acquire spraying equipment information, and determine the spraying amount per unit time according to the spraying equipment information; Determining the spraying time according to the spraying degree and the spraying amount per unit time; Analyze the material placement information to determine the deformation process of each material; According to the deformation process, determine the material adjustment time and material placement time; Determining the difficulty of cutting the floral mud according to the shape and size of the floral mud; Determining the time consumption of the floral mud cutting according to the difficulty of the floral mud cutting; The design complexity of each order to be processed is determined based on the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time.
[0031] Optionally, the production combination module determines the design complexity of each pending order according to the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time, referring to the following formula: ; in, Indicates the design complexity of each pending order; Indicates Cutting flowers is time-consuming; Indicates the quantity of the flowers; Indicates the degree of influence of the time consumption of cutting the flower material on the design complexity of each pending order; Indicates the degree of influence of the time consumption of floral mud cutting on the design complexity of each pending order; Indicates that the floral mud cutting takes time; Indicates the degree of influence of the material adjustment time on the design complexity of each pending order; Indicates the quantity of materials; Indicates the material adjustment time for each material; Indicates the influence of the spraying time on the design complexity of each pending order; Indicates the time taken for the spraying; Indicates the degree of influence of the material placement time on the design complexity of each pending order; Indicates the time taken to place each material. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] 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.
[0033] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flowchart of an order management method for a flower selling platform provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of an order management system for a flower selling platform provided in one embodiment of the present application. DETAILED DESCRIPTION
[0034] 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.
[0035] 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.
[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.
[0037] The order management of modern flower sales platforms can usually only achieve simple warehousing and payment collection. However, in the processing of a large number of orders for flower sales, how to ensure the quality of flowers and the timeliness of delivery is crucial, which is also beyond the reach of existing order management systems.
[0038] Traditional flower delivery management methods mainly rely on manual experience to make judgments. This method is prone to errors and is inefficient when processing large-scale orders.
[0039] Based on this, the present application provides an order management method and system for a flower selling platform, which obtains pending orders; analyzes pending orders and determines bouquet information; analyzes bouquet information and determines bouquet packaging logic; determines the current amount to be packaged according to pending orders; and determines a combination production plan according to bouquet packaging logic and the current amount to be packaged. Quickly collect all pending order information. Through image recognition and natural language processing technology, accurately extract information such as the type, quantity, and arrangement relationship of the flower materials of the bouquet. According to the bouquet information, formulate a reasonable packaging logic, including the size and shape of the flower mud, the cutting length of the flower materials, the degree of spraying, etc., to ensure the beauty and stability of the bouquet. Combined with the order delivery time and the available storage space, calculate the current number of bouquets to be packaged to avoid excessive packaging that causes flowers to be unable to keep fresh. Combine similar orders together to formulate the optimal production plan, reduce resource waste, and improve production efficiency. Through the above scheme, it is possible to directly replace manual judgment of flower orders, which is more scientific and reasonable, and can also avoid errors caused by human judgment and reduce the probability of errors.
[0040] Figure 1 A schematic diagram of an application scenario provided for the present application. In a flower selling scenario, the method provided by the present application is applied to obtain pending orders; analyze pending orders to determine bouquet information; analyze bouquet information to determine bouquet packing logic; determine the current amount to be packed based on pending orders; determine a combination production plan based on bouquet packing logic and the current amount to be packed.
[0041] Specifically, the method provided in the present application is applied to any server, and the server interacts with the flower order management system to quickly collect all pending order information of the flower order management system. Through image recognition and natural language processing technology, the type, quantity, arrangement relationship and other information of the flower material of the bouquet are accurately extracted. According to the bouquet information, a reasonable packaging logic is formulated, including the size and shape of the flower mud, the cutting length of the flower material, the degree of spraying, etc., to ensure the beauty and stability of the bouquet. Combined with the order delivery time and the available space of the warehouse, the number of bouquets to be packaged is calculated to avoid excessive packaging that causes the flowers to be unable to keep fresh. Similar orders are combined together to formulate the best production plan, reduce resource waste and improve production efficiency. Through the above scheme, it is possible to directly replace manual judgment of flower orders, which is more scientific and reasonable, and can also avoid errors caused by human judgment and reduce the probability of error. The specific implementation method can refer to the following embodiments.
[0042] Figure 2This is a flow chart of an order management method for a flower selling platform 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 pending orders; analyzing pending orders and determining bouquet information; Pending orders may be orders on the flower selling platform that have not yet been processed or are waiting to be processed.
[0043] Specifically, the platform collects order information such as customized pictures to be processed and order details from various channels. Use image recognition technology to process order pictures and identify characteristics such as flower type, color, and shape. Use deep learning models to classify and count flowers to determine the type and quantity of flowers. Based on the image analysis results, further determine the arrangement relationship of flowers, the overall structure of the bouquet, and the required material information. Use natural language processing technology to analyze the provided text description and determine the bouquet information.
[0044] S202, analyzing bouquet information and determining bouquet packaging logic; The bouquet information may be the type, quantity, color, arrangement of flowers extracted from the pending order, as well as the required packaging materials and craftsmanship.
[0045] The bouquet packaging logic can be the specific packaging steps and methods formulated according to the bouquet information to ensure the integrity and aesthetics of the bouquet during transportation and delivery.
[0046] Specifically, according to the bouquet information, the size and shape of the floral mud, the cutting length of the flowers, the degree of spraying, and other bouquet packaging logic are analyzed and determined. The optimization algorithm is used to determine the best solution for material placement to reduce packaging time and cost.
[0047] S203, determining the current quantity to be packaged according to the pending orders; Specifically, the delivery time of the order is analyzed to obtain flower storage information such as available storage space and the status of cold storage facilities. Based on the storage information and delivery time, the current amount to be packaged is calculated to ensure that the bouquets can be delivered in the best condition.
[0048] S204: Determine a combination production plan based on the bouquet packaging logic and the current amount to be packaged.
[0049] The current amount to be packaged may be the number of bouquets that need to be packaged within a certain period of time.
[0050] A combined production plan can be a plan to group multiple similar orders together for batch production.
[0051] Specifically, according to the bouquet packaging logic and the current amount to be packaged, similar orders are combined and a combination production plan is formulated. Considering the design complexity and packaging time, the order production process is optimized.
[0052] Through this solution, all pending order information can be quickly collected. Through image recognition and natural language processing technology, the type, quantity, arrangement relationship and other information of the flower materials of the bouquet can be accurately extracted. According to the bouquet information, a reasonable packaging logic is formulated, including the size and shape of the flower mud, the cutting length of the flower materials, the degree of spraying, etc., to ensure the beauty and stability of the bouquet. Combined with the order delivery time and the available storage space, the number of bouquets to be packaged is calculated to avoid excessive packaging that causes the flowers to be unable to keep fresh. Similar orders are combined together to formulate the best production plan, reduce resource waste and improve production efficiency. Through the above solution, it is possible to directly replace manual judgment of flower orders, which is more scientific and reasonable, and it can also avoid errors caused by human judgment and reduce the probability of errors. Through the above solution, it is possible to directly replace manual judgment of flower orders, which is more scientific and reasonable, and it can also avoid errors caused by human judgment and reduce the probability of errors.
[0053] In some embodiments, the flower type and material information are determined based on the order picture; the order picture is analyzed to obtain the picture analysis result, and the arrangement relationship between several flowers and the flower craftsmanship are determined based on the picture analysis result; the flower type, material information, arrangement relationship and flower craftsmanship are used as bouquet information.
[0054] The order picture may be a picture submitted on a flower selling platform for a customized bouquet.
[0055] The types of flowers can be roses, lilies, carnations, and other types of flowers used in bouquets.
[0056] Material information can be non-flower materials such as wrapping paper, ribbons, and floral mud used in the bouquet making process.
[0057] The image analysis results may be data and conclusions such as flower identification results, quantity statistics, and arrangement relationships obtained by analyzing order images.
[0058] The arrangement relationship can be the relative position and hierarchy of various flowers in the bouquet.
[0059] Flower craftsmanship can be the processing methods of flower materials such as pruning, bundling, dyeing, etc. during the production process.
[0060] Specifically, the order pictures are preprocessed by adjusting the picture size, enhancing the image clarity, removing noise, etc. The preprocessed pictures are analyzed using image recognition technology to identify the types of flowers in the pictures. The number of each type of flower in the picture is counted using image segmentation and counting technology. Image processing technology is used to analyze the positional relationship of flowers in the picture to determine the arrangement order and hierarchy between flowers. According to the shape, color and arrangement of flowers, the required pruning, bundling, decoration and other processes are analyzed. Packaging materials such as paper and ribbons are identified in the picture, and relevant information such as color and material are extracted. The identified flower type, quantity, arrangement relationship, flower process and material information are integrated into bouquet information data.
[0061] This solution improves image quality, reduces noise interference, and provides clearer image data for flower identification. Accurately identify the types of flowers in the image to provide basic flower information for bouquet making. Accurately count the number of each flower to ensure that the materials for bouquet making are prepared accurately. Determine the spatial relationship and hierarchical structure between flowers to provide guidance for the arrangement design of the bouquet. Analyze the process requirements of flower pruning, bundling, decoration, etc. to provide process guidance for bouquet making. Identify and extract information about packaging materials to ensure that the packaging of the bouquet meets the requirements. Integrate all bouquet-related information into complete bouquet information data.
[0062] In some embodiments, the size and shape of the floral mud are determined according to the arrangement relationship and the number of flowers; the arrangement relationship is analyzed to determine the cutting length of each flower; the degree of spraying is determined according to the flower craftsmanship; the material placement information is determined according to the material information and image analysis results; the bouquet packaging logic is determined according to the size, shape, cutting length, spraying degree and material placement information.
[0063] The number of flowers can be the number of main flowers and auxiliary flowers used in the bouquet.
[0064] The size of the floral mud can be fixed according to the size of the bouquet and the number of flowers.
[0065] The shape of the floral mud can be round, square or any other shape suitable for the bouquet design.
[0066] The trimming length can be the length of the flower cut from the bottom to the top.
[0067] The degree of spraying can be the color or thickness and uniformity of the material sprayed on the surface of the flower material.
[0068] The material placement information may be the placement and method of non-floral materials such as wrapping paper, ribbons, and decorations used in the bouquet making process.
[0069] Specifically, according to the number and arrangement of flowers, an algorithm is used to calculate the size and shape of the required flower mud to ensure that the flowers can be stably fixed on the flower mud. The position and proportion of the flowers in the picture are analyzed, and the cutting length of each flower is calculated to meet the design requirements of the bouquet. According to the requirements of the flower process, the spraying degree of the flower, such as the spray color and coating thickness, is determined. According to the material information and the results of the image analysis, the placement and method of packaging materials, decorations and other materials are determined. The size, shape, cutting length, spraying degree and material placement information of the flower mud are integrated to form a complete bouquet packaging logic.
[0070] This solution ensures that the floral mud can adapt to the arrangement and quantity of flowers, providing stable support for the bouquet while reducing the need for cold storage space. Accurately cut the flowers to meet the design requirements and improve the overall aesthetics and satisfaction of the bouquet. Through the spraying process, the color and texture of the flowers are enhanced to improve the visual effect of the bouquet while protecting the flowers from damage. Optimize the placement of materials to ensure the neatness and aesthetics of the bouquet packaging while reducing material waste. Form a set of standardized bouquet packaging processes to improve production efficiency, reduce human errors, and ensure that the bouquets are kept in the best condition during production and delivery.
[0071] In some embodiments, pending orders are analyzed to determine the delivery time of each pending order; flower storage information is obtained, analyzed to determine available storage space; and the current amount to be packaged is determined based on the available storage space and the delivery time.
[0072] The delivery time can be the time when the order is expected to be received or the deadline by which the order is promised to be delivered.
[0073] Flower storage information may be detailed information about the space capacity of flower storage facilities such as refrigerators and warehouses, the types and quantities of flowers, storage conditions, etc.
[0074] Available storage space may be storage space in a flower storage facility that is unoccupied and available for new orders of flowers.
[0075] Specifically, detailed information such as the submission time and expected delivery time of pending orders is extracted from the order management system. Real-time data such as the refrigerated space capacity of the flower warehouse, the number and type of flowers currently stored, etc. is collected. The warehouse data is analyzed to calculate the currently available free positions of the refrigerators and the storage space of the temporary storage area. According to the delivery time and available storage space of each order, a sorting algorithm or priority queue is used to sort the orders, giving priority to orders that are about to expire. According to the sorting results and storage space constraints, the number of bouquets that can be packaged within a certain period of time, that is, the current amount to be packaged, is determined.
[0076] Through this solution, by analyzing the order time information, we can understand the urgency of each order and ensure on-time delivery. Identifying the actual situation of the storage space helps to reasonably arrange the storage and packaging of flowers and avoid order backlogs caused by insufficient space. Combining storage capacity and order time requirements, we can scientifically plan the number of bouquets that need to be packaged in the current time period and optimize the production process.
[0077] In some embodiments, order information is obtained, and delivery requirements are determined based on the order information; the freshness of the flowers is determined based on the delivery requirements; the packing time is determined based on the order delivery time and the freshness of the flowers; and the current amount to be packed is determined based on the packing time and available storage space.
[0078] The order information may be order details such as contact information, delivery address, selected flower type, quantity, bouquet design requirements, submission time, etc. submitted on the flower selling platform.
[0079] Delivery requirements can be specific requirements on the time, place and method of delivery of an order.
[0080] Flower freshness can refer to the degree of freshness that flowers need to maintain during storage and transportation.
[0081] Packing time can be the point in time from when the bouquet is made to when it is packed and ready for delivery.
[0082] Specifically, order information such as delivery address, delivery time, and special requirements are extracted from order management. Order information is analyzed to determine delivery requirements such as expected delivery time and whether cold chain delivery is required. Based on delivery requirements, the freshness of the flowers needs to be maintained. Combined with the delivery time and the freshness of the flowers, the optimal bouquet packaging time is calculated to ensure that the flowers are still fresh when delivered. Considering the packaging time and available storage space, the number of bouquets that can be packaged in the current time period is calculated.
[0083] Through this solution, order information can be quickly collected to ensure the accuracy of order processing. The delivery time and other requirements are clarified to provide a basis for flower preservation and delivery to ensure that expectations are met. According to the requirements for flower freshness in the order information, reasonable arrangements are made for refrigeration and preservation measures to maintain the quality of flowers and improve satisfaction. Ensure that flowers are packaged in the best condition to avoid the quality of flowers being reduced due to early or delayed packaging, which affects the experience. According to the actual storage capacity and order processing time, the amount to be packaged is reasonably planned to avoid waste of resources caused by excessive packaging, while ensuring on-time delivery.
[0084] In some embodiments, the design complexity of each pending order is determined according to the bouquet packaging logic; the packaging time is determined according to the design complexity; the bouquet packaging logic is analyzed to determine whether there are at least two pending orders with the same design method; if so, at least two pending orders are combined according to the order delivery time, and a combination production plan for at least two pending orders is generated according to the bouquet packaging logic.
[0085] The complexity of the design can refer to the type, quantity, combination and overall shape of the flowers required when making the bouquet.
[0086] The time consumed for packaging can be the time required from the completion of bouquet making to the completion of packaging.
[0087] The same design approach can mean that two or more bouquets are similar in terms of flower type, quantity, matching method, and overall shape.
[0088] Specifically, analyze the flower types, quantities, arrangement relationships, and required materials and processes of each pending order, and evaluate its design complexity based on the bouquet packaging logic. Based on the design complexity, use the preset standards to estimate the packaging time for each order. By comparing the design features of pending orders, identify orders with the same design. Based on the urgency of the delivery time, decide whether to combine orders with the same design to optimize the production process. Combine the bouquet packaging logic and order combination to generate a production plan for the combined order.
[0089] Through this solution, by evaluating the design complexity of the order, resources and time can be reasonably allocated, and orders with high complexity can be prioritized to ensure a smooth production process. Accurately estimating the packaging time for each order helps to better plan production plans and human resources and avoid production bottlenecks. Orders with the same design method can be identified to reduce duplication of work and improve production efficiency. By combining orders with the same design method, batch production can be achieved, reducing the number of switching production lines and improving production efficiency. Generating a production plan for combined orders makes the production process more standardized and systematic, reducing the possibility of errors, and increasing the processing speed of orders.
[0090] In some embodiments, the production efficiency of pending orders is determined based on the time consumed for packaging; the number of pending orders at the current moment is obtained; and whether to accept the order is determined based on the production efficiency and the order number.
[0091] Production efficiency can be the ability to complete orders within a certain period of time.
[0092] The current moment may be the real-time status of order processing.
[0093] The order quantity can be the total number of orders that are pending or processed within a certain time frame.
[0094] Specifically, extract the packaging time data of each pending order from the order management. Use the packaging time data and historical production data to calculate the production efficiency of each order. Query the order management in real time to obtain the number of pending orders at the current moment. Combine the production efficiency and the current number of orders to evaluate whether there are sufficient resources and capabilities to accept the order.
[0095] Through this solution, by analyzing the packaging time, the production efficiency of each order is quantified, so as to more accurately predict the production capacity and delivery time and optimize the production process. Real-time acquisition of order quantity helps to identify the current production pressure and resource requirements. Combining production efficiency and order quantity, make a decision on whether to accept new orders to avoid improper order processing due to insufficient resources or over-commitment.
[0096] In some embodiments, the time required to cut each flower material is determined based on the number of flowers and the cutting length; the spraying equipment information is obtained, and the spraying amount per unit time is determined based on the spraying equipment information; the spraying time is determined based on the spraying degree and the spraying amount per unit time; the material placement information is analyzed to determine the deformation process of each material; based on the deformation process, the material adjustment time and the material placement time are determined; the difficulty of cutting the floral mud is determined based on the shape and size of the floral mud; the time required to cut the floral mud is determined based on the difficulty of cutting the floral mud; the design complexity of each pending order is determined based on the cutting time, spraying time, material adjustment time, floral mud cutting time and material placement time.
[0097] Cutting time refers to the time required to cut the flower material into the desired length and shape.
[0098] The spraying equipment information may be various technical parameters and performance indicators of the spraying equipment, such as spraying speed, spraying range, equipment capacity, and maintenance requirements.
[0099] The unit time can be the amount of spraying that can be completed within a certain period of time.
[0100] The spray volume can be the number of sprays that the spray equipment can handle per unit time.
[0101] The spraying time may be the time required to complete the spraying of the flower material.
[0102] The deformation process can be the change in shape that the material undergoes during the manufacturing process.
[0103] Material adjustment time can be the time required to adjust the position, shape or combination of materials during the production process.
[0104] Material placement time can be the time required to place the material at a specified location.
[0105] The difficulty of floral mud cutting can be the degree of difficulty of the cutting work evaluated according to the hardness of the floral mud and the efficiency of the cutting tool.
[0106] The floral mud cutting time may be the time required to complete the floral mud cutting work.
[0107] Specifically, the cutting time of each flower material is calculated according to the type and cutting length of the flower material, combined with the characteristics of the flower material and the capacity of the cutting equipment. The spraying speed, spraying range and other relevant parameters of the spraying equipment are obtained from the operation manual or production records of the spraying equipment. According to the information of the spraying equipment, the spraying amount that the spraying equipment can handle per unit time is calculated. According to the spraying degree and the spraying amount per unit time, the time required to complete the spraying is calculated. The placement and deformation process of materials such as flower mud and flower stands used in bouquet design are analyzed. According to the placement information and deformation process of the materials, the time required for material adjustment and placement is calculated. According to the shape and size of the flower mud and the characteristics of the cutting tool, the difficulty of flower mud cutting is evaluated. According to the difficulty of flower mud cutting and the efficiency of the cutting tool, the time required for flower mud cutting is calculated. The time consumption of cutting, spraying, material adjustment, flower mud cutting and material placement is added up to obtain the design complexity of each pending order.
[0108] Through this solution, by quantifying the cutting time, the production process can be better planned to ensure that each flower material can be cut within the specified time, thereby avoiding production delays. Collecting information about spraying equipment helps to identify the working efficiency of the equipment. By determining the spraying amount, the spraying work can be accurately planned to ensure that the spraying work can be completed efficiently. According to the spraying time, the time of spraying work can be reasonably arranged to ensure that the spraying work can be completed on time. By analyzing the material placement information, the design requirements of the bouquet can be better analyzed. By calculating the material adjustment and placement time, the time of material placement work can be accurately planned to ensure that the material placement work can be completed on time. By evaluating the difficulty of flower mud cutting, the flower mud cutting work can be arranged to ensure that the flower mud cutting work can be completed efficiently. According to the flower mud cutting time, the time of flower mud cutting work can be reasonably arranged to ensure that the flower mud cutting work can be completed on time. By comprehensively calculating the cutting time, spraying time, material adjustment time, flower mud cutting time and material placement time, the design complexity of each order can be accurately evaluated.
[0109] ; in, Indicates the design complexity of each pending order; Indicates Cutting flowers is time-consuming; Indicates the quantity of the flowers; Indicates the degree of influence of the time consumption of cutting the flower material on the design complexity of each pending order; Indicates the degree of influence of the time consumption of floral mud cutting on the design complexity of each pending order; Indicates that the floral mud cutting takes time; Indicates the degree of influence of the material adjustment time on the design complexity of each pending order; Indicates the quantity of materials; Indicates the material adjustment time for each material; Indicates the influence of the spraying time on the design complexity of each pending order; Indicates the time taken for the spraying; Indicates the degree of influence of the material placement time on the design complexity of each pending order; Indicates the time taken to place each material.
[0110] The degree of influence can be the strength of a factor's impact on the overall effect or result.
[0111] The item quantity can be the total number of various items used in the order.
[0112] Specifically, the cutting time data of each flower material is collected from the production records. The cutting time of each flower material is added to obtain the total cutting time of the flower material. The degree of influence of cutting time on design complexity is set. The total cutting time of the flower material is multiplied by the degree of influence of cutting time to obtain the contribution value of cutting time to design complexity. The spraying time data is collected from the production records of the spraying equipment. The degree of influence of spraying time on design complexity is set. The spraying time is multiplied by the degree of influence of spraying time to obtain the contribution value of spraying time to design complexity. The adjustment time data of each material is collected from the production records. The adjustment time of each material is added to obtain the total adjustment time of the material. The degree of influence of material adjustment time on design complexity is set. The total adjustment time of the material is multiplied by the degree of influence of the material adjustment time to obtain the contribution value of the material adjustment time to design complexity. The flower mud cutting time data is collected from the production records. The degree of influence of flower mud cutting time on design complexity is set. Multiply the time consumption of floral mud cutting by the degree of influence of floral mud cutting time consumption to obtain the contribution value of floral mud cutting time consumption to design complexity. Collect the placement time consumption data of each material from the production records. Add up the placement time consumption of each material to obtain the total material placement time consumption. Set the degree of influence of material placement time consumption on design complexity. Multiply the total material placement time consumption by the degree of influence of material placement time consumption to obtain the contribution value of material placement time consumption to design complexity. Add the cutting time contribution value, spraying time contribution value, material adjustment time contribution value, floral mud cutting time contribution value and material placement time contribution value to obtain the design complexity of each pending order.
[0113] Through this solution, the actual time of flower material processing can be accurately identified by collecting cutting time data. Calculating the total cutting time helps to evaluate the total workload of flower material processing. Setting the impact of cutting time helps to evaluate the order complexity according to the length of cutting time. By calculating the contribution value, the impact of cutting time on order complexity is quantified. Collecting spraying time data helps to analyze the efficiency of the spraying link. Setting the impact of spraying time helps to evaluate the complexity of the order according to the length of spraying time. By calculating the contribution value, the impact of spraying time on order complexity is quantified. Collecting material adjustment time data helps to analyze the efficiency of the material adjustment link. Calculating the total adjustment time helps to evaluate the total workload of material adjustment. Setting the impact of material adjustment time helps to evaluate the order complexity according to the length of material adjustment time. By calculating the contribution value, the impact of material adjustment time on order complexity is quantified. Collecting floral mud cutting time data helps to analyze the efficiency of floral mud cutting. Setting the impact of floral mud cutting time helps to evaluate the order complexity according to the length of floral mud cutting time. Setting the impact of the time required for flower mud cutting helps evaluate the complexity of orders based on the length of time it takes to cut the flower mud. Collecting material placement time data helps analyze the efficiency of the material placement process. Calculating the total placement time helps evaluate the total workload of material placement. Setting the impact of material placement time helps evaluate the complexity of orders based on the length of time it takes to place materials. By calculating the contribution value, quantify the impact of material placement time on order complexity. By calculating the design complexity of an order, you can more effectively manage orders, optimize production processes, improve production efficiency, and ensure on-time delivery of high-quality flower products.
[0114] Figure 3 A structural diagram of an order management system for a flower selling platform provided in one embodiment of the present application, such as Figure 3 As shown, the order management system 300 of the flower selling platform of this embodiment includes: an order analysis module 301 , an information analysis module 302 , a packaging analysis module 303 , and a production combination module 304 .
[0115] The order analysis module 301 is used to obtain pending orders; analyze the pending orders and determine bouquet information; An information analysis module 302 is used to analyze the bouquet information and determine the bouquet packaging logic; The packaging analysis module 303 is used to determine the current amount to be packaged according to the pending orders; The combination making module 304 is used to determine a combination making plan according to the bouquet packing logic and the current amount to be packed.
[0116] Optionally, the pending order includes an order picture, and the order analysis module 301 analyzes the pending order to determine the bouquet information, and is used to: Determine the flower type and material information based on the order picture; Analyze the order picture to obtain a picture analysis result, and determine the arrangement relationship between the plurality of flowers and the flower material craftsmanship according to the picture analysis result; The flower type, the material information, the arrangement relationship and the flower craftsmanship are used as the bouquet information.
[0117] Optionally, the image analysis result includes the number of flowers; when the information analysis module 302 analyzes the bouquet information and determines the bouquet packaging logic, it is used to: Determine the size and shape of the floral mud according to the arrangement relationship and the number of flowers; Analyze the arrangement relationship to determine the cutting length of each flower material; Determine the degree of spraying according to the flower material process; Determine material placement information according to the material information and the image analysis result; The bouquet packaging logic is determined according to the size of the floral mud, the shape of the floral mud, the cutting length, the spraying degree and the material placement information.
[0118] Optionally, when the packaging analysis module 303 determines the current amount to be packaged according to the pending orders, it is used to: Analyze the pending orders and determine the delivery time of each pending order; Acquire flower storage information, analyze the flower storage information, and determine available storage space; The current amount to be packaged is determined based on the available storage space and the delivery time.
[0119] Optionally, when the packaging analysis module 303 determines the current amount to be packaged according to the available storage space and the delivery time, it is used to: Obtain order information, and determine delivery requirements based on the order information; Determine the degree of freshness of flowers according to the delivery requirements; Determine the packing time according to the delivery time and the freshness of the flowers; The current amount to be packaged is determined according to the packaging time and the available storage space.
[0120] Optionally, when the combination making module 304 determines the combination making scheme according to the bouquet packaging logic and the current amount to be packaged, it is used to: Determine the design complexity of each pending order based on the bouquet packaging logic; Determine the time required for packaging based on the complexity of the design; Analyze the bouquet packaging logic to determine whether there are at least two pending orders with the same design method; If so, at least two pending orders are combined according to the order delivery time, and a combination production plan for the at least two pending orders is generated according to the bouquet packaging logic.
[0121] Optionally, the order management system 300 of the flower selling platform includes an order determination module 305, which is used to: Determining the production efficiency of the pending order according to the packaging time consumed; Get the number of pending orders at the current moment; Determine whether to accept the order based on the production efficiency and the order quantity.
[0122] Optionally, when the production combination module 304 determines the design complexity of each pending order according to the bouquet packaging logic, it is used to: Determine the time required to cut each flower material according to the number of flowers and the cutting length; Acquire spraying equipment information, and determine the spraying amount per unit time according to the spraying equipment information; Determining the spraying time according to the spraying degree and the spraying amount per unit time; Analyze the material placement information to determine the deformation process of each material; According to the deformation process, determine the material adjustment time and material placement time; Determining the difficulty of cutting the floral mud according to the shape and size of the floral mud; Determining the time consumption of the floral mud cutting according to the difficulty of the floral mud cutting; The design complexity of each order to be processed is determined based on the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time.
[0123] Optionally, the production combination module 304 determines the design complexity of each pending order according to the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time, referring to the following formula: ; in, Indicates the design complexity of each pending order; Indicates Cutting flowers is time-consuming; Indicates the quantity of the flowers; Indicates the degree of influence of the time consumption of cutting the flower material on the design complexity of each pending order; Indicates the degree of influence of the time consumption of floral mud cutting on the design complexity of each pending order; Indicates that the floral mud cutting takes time; Indicates the degree of influence of the material adjustment time on the design complexity of each pending order; Indicates the quantity of materials; Indicates the material adjustment time for each material; Indicates the influence of the spraying time on the design complexity of each pending order; Indicates the time taken for the spraying; Indicates the degree of influence of the material placement time on the design complexity of each pending order; Indicates the time taken to place each material.
[0124] 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 order management method for a flower selling platform, characterized in that: include: Get pending orders; Analyze the pending order and determine the bouquet information; Analyze the bouquet information and determine bouquet packaging logic; Determine the current quantity to be packaged according to the pending orders; A combination production plan is determined according to the bouquet packaging logic and the current amount to be packaged.
2. The method according to claim 1, characterized in that The pending order includes an order picture, and the step of analyzing the pending order to determine the bouquet information includes: Determine the flower type and material information based on the order picture; Analyze the order picture to obtain a picture analysis result, and determine the arrangement relationship between the plurality of flowers and the flower material craftsmanship according to the picture analysis result; The flower type, the material information, the arrangement relationship and the flower craftsmanship are used as the bouquet information.
3. The method according to claim 2, characterized in that The image analysis result includes the number of flowers; and the step of analyzing the bouquet information and determining the bouquet packaging logic includes: Determine the size and shape of the floral mud according to the arrangement relationship and the number of flowers; Analyze the arrangement relationship to determine the cutting length of each flower material; Determine the degree of spraying according to the flower material process; Determine material placement information according to the material information and the image analysis result; The bouquet packaging logic is determined according to the size of the floral mud, the shape of the floral mud, the cutting length, the spraying degree and the material placement information.
4. The method according to claim 3, characterized in that: Determining the current quantity to be packaged according to the pending orders includes: Analyze the pending orders and determine the delivery time of each pending order; Acquire flower storage information, analyze the flower storage information, and determine available storage space; The current amount to be packaged is determined based on the available storage space and the delivery time.
5. The method according to claim 4, characterized in that The determining the current amount to be packaged according to the available storage space and the delivery time includes: Obtain order information, and determine delivery requirements based on the order information; Determine the freshness of flowers according to the delivery requirements; Determine the packing time according to the delivery time and the freshness of the flowers; The current amount to be packaged is determined according to the packaging time and the available storage space.
6. The method according to claim 5, characterized in that The step of determining a combination production plan according to the bouquet packaging logic and the current amount to be packaged includes: Determine the design complexity of each pending order based on the bouquet packaging logic; Determine the time required for packaging based on the complexity of the design; Analyze the bouquet packaging logic to determine whether there are at least two pending orders with the same design method; If so, at least two pending orders are combined according to the order delivery time, and a combination production plan for the at least two pending orders is generated according to the bouquet packaging logic.
7. The method according to claim 6, characterized in that The method further comprises: Determine the production efficiency of the pending order according to the packaging time; Get the number of pending orders at the current moment; Determine whether to accept the order based on the production efficiency and the order quantity.
8. The method according to claim 6, characterized in that Determining the design complexity of each pending order according to the bouquet packaging logic includes: Determine the time required to cut each flower material according to the number of flowers and the cutting length; Acquire spraying equipment information, and determine the spraying amount per unit time according to the spraying equipment information; Determining the spraying time according to the spraying degree and the spraying amount per unit time; Analyze the material placement information to determine the deformation process of each material; According to the deformation process, determine the material adjustment time and material placement time; Determining the difficulty of cutting the floral mud according to the shape and size of the floral mud; Determining the time consumption of the floral mud cutting according to the difficulty of the floral mud cutting; The design complexity of each order to be processed is determined based on the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time.
9. The method according to claim 8, characterized in that The design complexity of each pending order is determined based on the cutting time, the spraying time, the material adjustment time, the floral mud cutting time and the material placement time, referring to the following formula: ; in, Indicates the design complexity of each pending order; Indicates Cutting flowers is time-consuming; Indicates the quantity of the flowers; Indicates the degree of influence of the time consumption of cutting the flower material on the design complexity of each pending order; Indicates the degree of influence of the time consumption of floral mud cutting on the design complexity of each pending order; Indicates that the floral mud cutting takes time; Indicates the degree of influence of the material adjustment time on the design complexity of each pending order; Indicates the quantity of materials; Indicates the material adjustment time for each material; Indicates the influence of the spraying time on the design complexity of each pending order; Indicates the time taken for the spraying; Indicates the degree of influence of the material placement time on the design complexity of each pending order; Indicates the time taken to place each material.
10. An order management system for a flower selling platform, characterized in that: include: Order analysis module, used to obtain pending orders; Analyze the pending order and determine the bouquet information; An information analysis module, used to analyze the bouquet information and determine the bouquet packaging logic; A packaging analysis module, used to determine the current amount to be packaged according to the pending orders; The production combination module is used to determine the combination production plan according to the bouquet packaging logic and the current amount to be packaged.
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