Personal accessories manufacturing system, program, personal accessories image generation method, merchandise sales education system, and merchandise sales system

Abstract

This invention provides a method for manufacturing personal accessories, a personal accessories manufacturing system, a product sales education system, and a product sales system that generate product images using generation AI and efficiently manufacture products according to orders. [Solution] In a merchandise sales system, the method for manufacturing personal care products includes a generation step (step 2-1) in which an image for the product is generated using the generation AI processing unit of a bedding product manufacturing system, a conversion step (step 2-2) in which the image is converted into a format suitable for printing using the image conversion unit, and a printing step (step 2-5) in which printing is performed using a printing device.

Description

Technical Field

[0001] The present invention relates to a wearable article manufacturing system, a program, a wearable article image generation method, a product sales education system, and a product sales system.

Background Art

[0002] Conventionally, techniques for printing patterns on clothing using methods such as inkjet printing have been known (see, for example, Patent Document 1 below). This conventional technique can control the printing position of the pattern at the hem portion, and manufacture clothing with no variation in how the pattern at the hem portion appears.

Prior Art Literature

Patent Literature

[0003]

Patent Document 1

Summary of the Invention

Problem to be Solved by the Invention

[0004] However, conventional techniques only print patterns prepared in advance, and cannot perform flexible design generation utilizing generative AI or on-demand manufacturing management.

[0005] The present invention has been made to solve such problems, and an object of the present invention is to provide a wearable article manufacturing system and the like that can generate product images using generative AI and perform manufacturing efficiently in response to orders.

Means for Solving the Problem

[0006] (1) A method for manufacturing a wearable article according to the present invention is characterized by comprising: a generation step of generating an image for a product using generative AI; a conversion step of converting the generated image into a format suitable for printing on the product; and a printing step of printing the product based on the converted image data.

[0007] The manufacturing method of the present invention generates an image using a generation AI as described in (1) above, converts the image into a format suitable for printing, and then prints it. Therefore, products with a high level of design can be manufactured efficiently.

[0008] (2) The manufacturing method of the present invention described above may be performed in accordance with the order.

[0009] The manufacturing method of the present invention reduces inventory risk by executing the printing process in response to orders, as described in (2) above. Furthermore, it enables flexible production to meet customer needs.

[0010] (3) The personal accessories manufacturing system of the present invention is characterized by comprising a storage unit that stores image data generated by a generation AI, a conversion unit that converts the image data into data for printing on personal accessories, and a printing unit that prints on personal accessories based on the converted printing data.

[0011] The personal accessory manufacturing system of the present invention, by comprising a storage unit, a conversion unit, and a printing unit as described in (3) above, can efficiently print images generated by the generation AI. Furthermore, by storing the generated image data, it can be reused.

[0012] (4) The personal accessories manufacturing system of the present invention described above may further include a receiving unit for receiving order information and a control unit for controlling a printing unit according to the order information.

[0013] The personal accessories manufacturing system of the present invention can achieve on-demand production by controlling printing based on order information as described in (4) above. Furthermore, the process from order placement to manufacturing can be automated.

[0014] (5) The present invention provides a manufacturing management system comprising: an inventory management unit that holds a plurality of plain personal accessories as inventory; an image management unit that manages image data generated by a generation AI; and a print control unit that combines plain personal accessories and image data and prints them according to an order.

[0015] The personal accessories manufacturing system of the present invention, by comprising an inventory management unit, an image management unit, and a printing control unit as described in (5) above, can achieve efficient inventory management and production management. Furthermore, inventory management can be simplified by managing only the inventory of plain personal accessories.

[0016] (6) The present invention provides a manufacturing management system comprising a first storage unit for storing image data of plain personal accessories, a second storage unit for storing image data generated by a generation AI, and an image generation unit for generating personal accessories image data by combining the image data of plain personal accessories and the generated image data.

[0017] The present invention's personal accessory manufacturing system allows for prior confirmation of the finished product image by combining two types of image data as described in (6) above. Furthermore, by managing the image data separately, it becomes possible to simulate various combinations.

[0018] (7) The personal accessories manufacturing system of the present invention described above may further include an order receiving unit that receives orders for personal accessories based on personal accessories image data.

[0019] The personal accessories manufacturing system of the present invention, by including an order-taking unit as described in (7) above, allows for order placement after confirming the finished product image. This prevents mismatches between customer expectations and the actual product.

[0020] (8) The program according to the present invention causes a computer to implement: a generation function of generating product images using generative AI; a conversion function of converting the generated images into a format suitable for printing on wearable goods; and an output function of outputting a print instruction based on image data converted in response to an order.

[0021] The program according to the present invention can efficiently manage the manufacture of wearable goods by causing a computer to implement each function as described in (8) above. Furthermore, implementation by software enables flexible expansion of the system.

[0022] The wearable product image generation method according to the present invention is characterized by comprising: a step of storing image data of plain wearable goods; a step of storing image data generated by generative AI; and a step of generating wearable product image data by combining the image data of plain wearable goods and the generated image data.

[0023] The image generation method according to the present invention can efficiently generate a finished product image by including the steps of storing and combining images as described above. Furthermore, by reusing the generated image data, similar products can be easily developed.

[0024] (9) The product sales education system according to the present invention comprises a trainee terminal and a processing device, wherein the processing device comprises a storage unit that stores educational content, a communication control unit that controls communication with the trainee terminal, and a progress management unit that manages educational progress; the educational content includes first content explaining an inventory management method based on an on-demand production system, second content explaining an operation method of an image editing tool and a product planning method, third content explaining a product image synthesis method and a product description creation method, fourth content explaining a product posting method and examination criteria, and fifth content explaining a usage method of image generative AI; and the progress management unit selects and distributes the next learning content based on learning history information from the trainee terminal.

[0025] The education system of the present invention enables trainees to proceed with learning systematically by providing step-by-step educational content as described in (9) above. Furthermore, by selecting the next content based on learning history, optimal learning that suits the trainee's level of understanding can be achieved.

[0026] (10) The education system of the present invention described above includes an examination unit that examines product information submitted by a trainee, the examination unit has a first determination unit that determines originality of a design, a second determination unit that determines appropriateness of image quality, and a third determination unit that determines appropriateness of a product description, and the examination result management unit may record an examination history and notify a trainee terminal when a similar problem is detected.

[0027] The education system of the present invention can ensure product quality by including the examination unit as described in (10) above. Furthermore, with the notification function based on the examination history, the trainee can make improvements with reference to past problems.

[0028] (11) In the education system of the present invention described above, a processing device has a first storage unit that stores image data of plain apparel products, a second storage unit that stores AI prompts for generating product descriptions, and a third storage unit that stores design templates, and the processing device may select and distribute required data from these storage units in response to a request from a trainee terminal.

[0029] The education system of the present invention allows trainees to easily acquire required data by storing various types of data in the storage units as described in (11) above. Furthermore, effective product descriptions can be created by utilizing the AI prompts.

[0030] (12) The present invention provides a product sales system comprising an order management processing device, an inventory management processing device, an image management processing device, and a manufacturing management processing device, wherein the order management processing device comprises an order management unit for managing product order information and a manufacturing instruction generation unit for generating manufacturing instructions for ordered products, the inventory management processing device comprises an inventory management unit for managing inventory information for a plurality of plain products and an inventory allocation unit for allocating inventory based on manufacturing instructions, the image management processing device comprises an image storage unit for storing a plurality of design images generated by an image generation AI and an image generation unit for generating product images by combining design images and images of plain products, and the manufacturing management processing device comprises a print control information generation unit for generating print control information based on manufacturing instructions and design images and a print control unit for controlling a printing device based on print control information.

[0031] The product sales system of the present invention can improve the overall processing efficiency of the system by distributing each function to a dedicated processing unit as described in (12) above. Furthermore, by having each processing unit work in cooperation with others, the entire process from order placement to manufacturing can be managed efficiently.

[0032] (13) The product sales system of the present invention described above further comprises an order management processing device, a communication control unit that communicates with a seller terminal, and a review unit that reviews product information uploaded from the seller terminal, wherein the review unit reviews the quality of the product image, the appropriateness of the design, and the appropriateness of the product description, and makes only product information that has passed the review available for order.

[0033] The product sales system of the present invention can ensure the quality of products by incorporating a screening function as described in (13) above. Furthermore, by allowing orders only for products that have passed the screening, customer satisfaction can be improved.

[0034] (14) The product sales system of the present invention described above further comprises an order management processing device which includes an optimization unit which optimizes the manufacturing lot based on the number of orders and a schedule generation unit which generates a manufacturing schedule based on the optimized manufacturing lot, and the manufacturing management processing device which controls the printing device according to the manufacturing schedule.

[0035] The product sales system of the present invention can improve manufacturing efficiency by incorporating the optimization function described in (14) above. Furthermore, manufacturing costs can be reduced by optimizing the manufacturing lot and schedule.

[0036] Furthermore, the configurations described in (1) to (14) above can be combined in any way. In particular, by combining the personal accessories manufacturing method, personal accessories manufacturing system, image generation system, education system, and merchandise sales system, a more effective merchandise sales business can be realized. [Effects of the Invention]

[0037] According to the present invention, it is possible to provide a personal accessories manufacturing system that can generate images for products using generation AI and efficiently manufacture them in response to orders. [Brief explanation of the drawing]

[0038] [Figure 1] This is a block diagram showing the configuration of a product sales system related to one embodiment of the present invention. [Figure 2] This block diagram shows the configuration of the manufacturing management system that makes up the product sales system shown in Figure 1. [Figure 3] This block diagram shows the configuration of the personal accessories manufacturing system that constitutes the merchandise sales system shown in Figure 1. [Figure 4] Figure 1 is a block diagram showing the configuration of the manufacturing management system that makes up the education system. [Figure 5] Figure 1 is a block diagram showing the configuration of the vendor terminals that make up the education system. [Figure 6] Figure 1 is a flowchart showing the basic operations performed in the education system. [Figure 7] Figure 1 is a flowchart showing the personal accessories manufacturing process performed in the education system. [Figure 8] Figure 1 is a flowchart showing the optimization control performed in the educational system. [Figure 9] Figure 1 is a flowchart showing the educational processes performed in the educational system. [Modes for carrying out the invention]

[0039] The following describes in detail an embodiment of the following invention: a personal accessories manufacturing system, a personal accessories manufacturing management system, a personal accessories image generation system, a program, a personal accessories image generation method, a product sales education system, and a product sales system. ≪1.1 Overall Structure≫ The product sales system 10 according to this embodiment is a system that manufactures and sells products in response to orders.

[0040] As shown in Figure 1, the merchandise sales system 10 includes a manufacturing management system 20, a personal accessories manufacturing system 30, and an education system 40.

[0041] As shown in Figure 2, the manufacturing management system 20 comprises an order management processing device 22, an inventory management processing device 24, an image management processing device 26, and a manufacturing management processing device 28. These processing devices are interconnected via a communication network. The communication network can be configured, for example, by the internet or a dedicated line.

[0042] The order management processing device 22 includes an order management unit 22a for managing product order information, a manufacturing instruction generation unit 22b for generating manufacturing instructions for ordered products, and a communication control unit 22c for controlling communication with the seller terminal 50.

[0043] The inventory management processing device 24 includes an inventory management unit 24a that manages inventory information for multiple plain products, and an inventory allocation unit 24b that allocates inventory based on manufacturing instructions.

[0044] The image management processing device 26 includes an image storage unit 26a that stores multiple design images generated by an image generation AI, and an image generation unit 26b that generates a product image by combining a design image with an image of a plain product.

[0045] The manufacturing management processing device 28 includes a print control information generation unit 28a that generates print control information based on manufacturing instructions and design images, and a print control unit 28b that controls the printing device 60 based on the print control information.

[0046] The personal accessories manufacturing system 30 comprises an image generation unit 32 and a print control unit 34. The image generation unit 32 generates images for products using generation AI and converts the generated images into a format suitable for printing on the products. The print control unit 34 prints on the products based on the converted image data.

[0047] The education system 40 includes an education processing device 42. The education processing device 42 includes a storage unit 42a for storing educational content related to the manufacture and sale of products, a communication control unit 42b for controlling communication with the student terminal 70, and a progress management unit 42c for managing the progress of education.

[0048] The product sales system 10, configured in this way, can efficiently execute a series of processes from order placement to manufacturing and sales through the coordinated operation of each system. In particular, by utilizing image generation AI, it is possible to quickly provide products with a variety of designs. Furthermore, by integrating the education system 40, it is possible to effectively train salespeople and manage quality.

[0049] ≪1.2 Configuration of the Integrated Merchandise Sales System≫ Next, the manufacturing management system 20 will be described in more detail. Each processing unit in the manufacturing management system 20 is equipped with a control unit and a storage unit. The control unit is composed of a computer including a CPU, ROM, RAM, etc. The storage unit is composed of a non-volatile storage device such as an HDD or SSD.

[0050] The order management processing device 22 includes a product information database 22d and an order information database 22e. The product information database 22d stores a list of products available for sale. The order information database 22e stores the order history of products that have been ordered.

[0051] The inventory management processing device 24 is equipped with an inventory information database 24c. The inventory information database 24c is a database for managing the inventory status of products and stores information such as the size, color, and quantity of plain products.

[0052] The image management processing device 26 includes a design image database 26c and a template database 26d. The design image database 26c stores image data generated by the image generation AI. The template database 26d stores template data for generating product images.

[0053] The manufacturing management processing device 28 is equipped with a manufacturing schedule database 28c. The manufacturing schedule database 28c stores the operating schedule of the printing device 60 and information on products scheduled for manufacture.

[0054] The manufacturing management system 20 can efficiently manage the entire process from order placement to manufacturing by linking these databases. Furthermore, by analyzing the information accumulated in each database, it can optimize inventory and improve manufacturing efficiency.

[0055] The communication control unit 22c of the order management processing device 22 includes an authentication function 22f that authenticates access from the seller terminal 50 (see Figure 5) and an upload management function 22g that manages the uploading of product information. The authentication function 22f verifies that the user is a legitimate seller by comparing the user with pre-registered seller information.

[0056] The order management processing device 22 is equipped with a review unit 22h that reviews uploaded product information. The review unit 22h reviews the quality of the product image, the appropriateness of the design, and the appropriateness of the product description. Only product information that passes the review by the review unit 22h is registered in the product information database 22d.

[0057] The order management processing device 22 further includes an optimization unit 22i that optimizes manufacturing lots based on the number of orders, and a schedule generation unit 22j that generates a manufacturing schedule based on the optimized manufacturing lots.

[0058] With this configuration, the manufacturing management system 20 can automatically perform a series of processes, from product registration from sellers to the generation of manufacturing schedules. Furthermore, it can ensure product quality through its review function while improving manufacturing efficiency through the optimization of manufacturing lots.

[0059] ≪1.3 Configuration of the Personal Accessory Manufacturing System≫ Next, the personal accessories manufacturing system 30 will be described in more detail. As shown in Figure 3, the personal accessories manufacturing system 30 includes an image generation unit 32, a print control unit 34, and an image database 36.

[0060] The image generation unit 32 comprises an AI generation processing unit 32a, an image conversion unit 32b, and an image synthesis unit 32c. The AI ​​generation processing unit 32a generates an image for the product based on a text prompt. The image conversion unit 32b converts the generated image into a format suitable for printing on the product. The image synthesis unit 32c combines the generated image with an image of a plain accessory to generate a preview image of the product.

[0061] The image database 36 comprises a plain clothing image storage unit 36a, a generated image storage unit 36b, and a composite image storage unit 36c. The plain clothing image storage unit 36a stores images of plain clothing such as T-shirts and hoodies. The generated image storage unit 36b stores images generated by the generation AI. The composite image storage unit 36c stores preview images of products generated by the image composite unit 32c.

[0062] The print control unit 34 comprises a print data generation unit 34a, a print control unit 34b, and a quality control unit 34c. The print data generation unit 34a converts image data stored in the generated image storage unit 36b into print data suitable for the printing device 60. The print control unit 34b controls the operation of the printing device 60. The quality control unit 34c checks the quality of the printed products.

[0063] The printing device 60 consists of a large-format inkjet printer and can print directly onto fabric. The printing device 60 includes an ink jet head 62 and a fabric transport mechanism 64.

[0064] With this configuration, the personal accessories manufacturing system 30 can commercialize images generated by the AI ​​as high-quality printed materials. Furthermore, by generating preview images, the system can confirm the final product image before manufacturing.

[0065] ≪1.4 Structure of the Education System≫ Next, we will explain the education system 40 in more detail.

[0066] As shown in Figure 4, the education system 40 includes an education processing device 42, a content database 44, and a student management database 46.

[0067] The storage unit 42a of the educational processing device 42 stores the following: a first content explaining an inventory management method using an on-demand production system; a second content explaining how to operate an image editing tool and how to plan products; a third content explaining how to combine product images and how to create product descriptions; a fourth content explaining how to list products and the review criteria; and a fifth content explaining how to use an image generation AI.

[0068] The progress management unit 42c includes a history recording unit 42d for recording the learner's learning history and a selection unit 42e for selecting the next learning content.

[0069] The content database 44 comprises a text material storage unit 44a, a video material storage unit 44b, and a template storage unit 44c. The template storage unit 44c stores product design templates and product description templates.

[0070] The student management database 46 comprises a student information storage unit 46a, a progress information storage unit 46b, and a grade information storage unit 46c. This information is managed for each student.

[0071] The education system 40 further includes an evaluation unit 48 that evaluates assignments submitted by students. The evaluation unit 48 includes a first evaluation unit 48a that determines the originality of the design, a second evaluation unit 48b that determines the appropriateness of the image quality, and a third evaluation unit 48c that determines the appropriateness of the product description.

[0072] With this configuration, the education system 40 can provide optimal learning materials according to the learner's progress. Furthermore, by appropriately reviewing submitted assignments, the quality of the product can be ensured.

[0073] ≪2.1 Basic Operation Flow≫ As shown in Figure 6, the merchandise sales system 10 executes a series of processes from product planning to manufacturing and sales in the following steps 1-1 to 1-10.

[0074] In step 1-1, the seller terminal 50 generates images for the product using the image generation AI program 52 (see Figure 5). The seller terminal 50 temporarily stores the image data generated by the image generation AI program 52 in the storage unit 54 (see Figure 5). This process allows the seller terminal 50 to efficiently generate images that form the basis of the product design.

[0075] In step 1-2, the seller terminal 50 uses the image generation unit 56 to combine the generated image read from the storage unit 54 with the image of the plain clothing item to create a product image, which the seller terminal 50 then uploads to the order management processing device 22 along with the product description. Through this process, the seller terminal 50 can accurately represent the finished image of the product.

[0076] In steps 1-3, the order management processing device 22 performs a review of the uploaded product information using the review unit 22h. The review unit 22h reviews the quality of the product image, the appropriateness of the design, and the appropriateness of the product description. Through this process, the review unit 22h can ensure the quality of the product.

[0077] In steps 1-4, the order management processing device 22 registers the product information of the products that have passed the review into the product information database 22d. The product information database 22d has a product management table, which records a list of products available for sale. Through this process, the order management processing device 22 can centrally manage products available for sale.

[0078] In steps 1-5, when the order management processing device 22 receives an order for goods, it requests inventory confirmation from the inventory management processing device 24 via the inventory confirmation request unit 22k. Through this process, the order management processing device 22 can grasp the inventory status in real time.

[0079] In steps 1-6, the inventory management processing device 24 allocates the corresponding plain goods using the inventory allocation unit 24b. The inventory allocation unit 24b updates the inventory information recorded in the inventory management table 24d. Through this process, the inventory management processing device 24 can reliably secure the goods corresponding to the order.

[0080] In step 1-7, once the inventory allocation is completed by the manufacturing instruction generation unit 22l, the order management processing unit 22 transmits the manufacturing instruction to the manufacturing management processing unit 28. The manufacturing instruction generation unit 22l records the manufacturing instruction information in the manufacturing instruction table 22m. This process allows the order management processing unit 22 to quickly start the manufacturing process.

[0081] In steps 1-8, the manufacturing management processing device 28 acquires image data for printing from the image management processing device 26, and the print control unit 28b executes printing using the printing device 60. Through this process, the manufacturing management processing device 28 can accurately transfer the design image to the product.

[0082] In steps 1-9, the quality control department 34c checks the print quality once printing is complete. This process allows the quality control department 34c to guarantee the quality of the product.

[0083] In step 1-10, the quality control department 34c prepares the products that have passed quality checks for shipment. The quality control department 34c records information about the products ready for shipment in the shipment management table 34d. This process ensures that the quality control department 34c can ship only high-quality products.

[0084] Based on the above basic operation flow, the merchandise sales system 10 can automatically execute a series of processes from order placement to manufacturing. By linking inventory allocation and manufacturing instructions, the merchandise sales system 10 can achieve efficient inventory management and production management.

[0085] ≪2.2 Manufacturing Process for Personal Accessories≫ As shown in Figure 7, the personal accessories manufacturing system 30 performs a series of manufacturing processes from image generation to printing in the following steps 2-1 to 2-6.

[0086] In step 2-1, the AI ​​processing unit 32a of the image generation unit 32 analyzes the product design concept from the text prompt input from the seller terminal 50 and generates an image that matches that concept. Through this process, the AI ​​processing unit 32a can automatically generate the product design.

[0087] In step 2-2, the image conversion unit 32b converts the generated image data into a format suitable for printing. The image conversion unit 32b adjusts the image size, resolution, and color gamut to match the specifications of the printing device 60. The image conversion unit 32b stores the converted image data in the generated image storage unit 36b. Through this process, the image conversion unit 32b can generate image data optimized for printing.

[0088] In step 2-3, the image synthesis unit 32c acquires the converted image data and the image of the plain accessory read from the plain accessory image storage unit 36a, and combines these images. The image synthesis unit 32c adjusts the position and size of the design images to generate a finished product image. The image synthesis unit 32c saves the generated finished product image to the synthesized image storage unit 36c. This process allows the image synthesis unit 32c to check the finished state of the product in advance.

[0089] In step 2-4, when the print data generation unit 34a receives a manufacturing instruction, it reads image data from the generated image storage unit 36b and generates print data for the printing device 60. The print data generation unit 34a sets the optimal print parameters by referring to the print parameter table 34e. This process allows the print data generation unit 34a to make maximum use of the performance of the printing device 60.

[0090] In step 2-5, the print control unit 34b controls the printing device 60 based on the generated print data and performs printing on the plain personal accessories. The print control unit 34b optimizes the printing environment. Through this process, the print control unit 34b can achieve printing of stable quality.

[0091] In step 2-6, the quality control unit 34c performs a quality check of the printed products after the completion of the printing process. The quality control unit 34c inspects for printing defects such as misalignment of the print position and uneven coloring. The quality control unit 34c transmits the inspection results to the manufacturing control processing device 28 and records them as quality confirmation results. Through this process, the quality control unit 34c can manage the history of product quality.

[0092] Through the above personal accessory manufacturing process, the personal accessory manufacturing system 30 can materialize images created by the generating AI as actual products. Furthermore, the personal accessory manufacturing system 30 can confirm the finished product before manufacturing by pre-confirming the completed image through image synthesis.

[0093] ≪2.3 Optimization Control≫ As shown in Figure 8, the manufacturing management system 20 performs control to optimize the manufacturing process based on order information in the following steps 3-1 to 3-7.

[0094] In step 3-1, the optimization unit 22i of the order management processing device 22 analyzes the order information stored in the order information database 22e. The optimization unit 22i analyzes past order trends using the order trend analysis table 22n. Through this process, the optimization unit 22i can grasp the order trends that form the basis of the manufacturing plan.

[0095] In step 3-2, the optimization unit 22i aggregates the number of orders for each attribute of the product, such as type, size, and color, and determines the manufacturing lot. The optimization unit 22i calculates an efficient lot size by referring to the lot optimization table 22p. Through this process, the optimization unit 22i can maximize manufacturing efficiency.

[0096] In step 3-3, the schedule generation unit 22j generates a manufacturing schedule based on the determined manufacturing lot. The schedule generation unit 22j creates a feasible schedule by referring to the manufacturing capacity table 22q. This process allows the schedule generation unit 22j to efficiently utilize manufacturing resources.

[0097] In steps 3-4, the schedule generation unit 22j determines the optimal manufacturing sequence, taking into account the operating status and inventory status of the printing device 60. The schedule generation unit 22j calculates the sequence that minimizes setup time. Through this process, the schedule generation unit 22j can improve the operating rate of the manufacturing equipment.

[0098] In step 3-5, the inventory management processing device 24 allocates inventory based on the manufacturing schedule generated by the schedule generation unit 22j. The inventory management processing device 24 predicts inventory trends using the inventory simulation table 24f. Through this process, the inventory management processing device 24 can secure the necessary inventory at the appropriate time.

[0099] In step 3-6, the inventory allocation unit 24b secures the necessary blank products from inventory for the products to be manufactured. The inventory allocation unit 24b records the allocation information in the inventory allocation table 24g. This process ensures that the inventory allocation unit 24b has the necessary materials for manufacturing.

[0100] In step 3-7, the manufacturing control processing device 28 controls the printing device 60 based on the secured inventory and manufacturing schedule. The manufacturing control processing device 28 improves the operational efficiency of the printing device 60 by manufacturing products of the same size and color in batches. This process allows the manufacturing control processing device 28 to reduce manufacturing costs.

[0101] Through the optimization control described above, the manufacturing management system 20 can improve the efficiency of the manufacturing process and optimize inventory. Furthermore, the manufacturing management system 20 can reduce manufacturing costs by optimizing manufacturing lots. ≪2.4 Educational Processing≫

[0102] As shown in Figure 9, the education system 40 executes a five-stage education process in the following steps 4-1 to 4-7.

[0103] In step 4-1, the educational processing device 42, via the first content distribution unit 42f, distributes the first content, which explains the inventory management method using the on-demand production system, to the learner terminal 70. The first content distribution unit 42f extracts and distributes teaching materials from the teaching material management table 42p that explain the basic concepts of a production system that minimizes inventory risk and its specific implementation methods. Through this process, the educational processing device 42 can efficiently provide basic knowledge to learners.

[0104] In step 4-2, the educational processing device 42 distributes second content, which explains how to operate the image editing tool and how to plan products, via the second content distribution unit 42g. The second content distribution unit 42g extracts and distributes teaching materials from the practical training database 44d that explain the basic operation of the image editing software and how to build a product brand. Through this process, the educational processing device 42 can effectively teach practical skills.

[0105] In step 4-3, the educational processing device 42 distributes third content, which explains how to combine product images and how to create product descriptions, via the third content distribution unit 42h. The third content distribution unit 42h extracts and distributes educational materials from the template database 44e that explain how to combine design images and plain product images, and how to create product descriptions for sales promotion. Through this process, the educational processing device 42 can improve its product proposal capabilities.

[0106] In step 4-4, the educational processing device 42 distributes the fourth content, which explains the product listing method and review criteria, via the fourth content distribution unit 42i. The fourth content distribution unit 42i extracts and distributes educational materials from the standard database 44f that explain the product information registration procedure and the evaluation criteria for product review. Through this process, the educational processing device 42 can ensure the quality of product registration.

[0107] In steps 4-5, the educational processing device 42 distributes the fifth content, which explains how to use the image generation AI, via the fifth content distribution unit 42j. The fifth content distribution unit 42j extracts and distributes teaching materials from the AI ​​utilization database 44g that explain how to input appropriate prompts to the image generation AI and how to utilize the generated images. Through this process, the educational processing device 42 can promote the effective use of AI tools.

[0108] In steps 4-6, the progress management unit 42c monitors the learner's progress at each stage. The progress management unit 42c records the learning history in the progress database 46d and uses this to determine when to move to the next stage. Through this process, the progress management unit 42c can achieve an optimal learning pace that matches the learner's level of understanding.

[0109] In Step 4-7, the Review Department 48 evaluates the assignments submitted by the trainees through the Assignment Evaluation Department 48d. The Assignment Evaluation Department 48d evaluates the originality of the design, the appropriateness of the image quality, and the appropriateness of the product description, and requests resubmission if the passing criteria are not met. Through this process, the Review Department 48 can maintain and improve product quality.

[0110] Through the above educational processes, the education system 40 can provide systematic education to participants. Furthermore, the education system 40 ensures that participants acquire the necessary skills through a step-by-step learning process.

[0111] ≪3.1 Examples of Product Planning and Sales≫ Next, we will explain a specific example of product planning and sales using the merchandise sales system 10. In this example, we will explain the case of planning, manufacturing, and selling a "T-shirt with a cat motif."

[0112] The seller accesses the image generation AI from the seller terminal 50 and enters the prompt, "A cute calico cat sleeping, simple illustration style, pastel colors." The generation AI processing unit 32a generates multiple design images based on this prompt.

[0113] The seller selects the best design image from among the multiple designs generated. The image synthesis unit 32c combines the selected design image with a white T-shirt image to generate a product image. The seller reviews the generated product image and adjusts the placement and size of the design.

[0114] The seller creates a product description, such as, "This T-shirt features a design of an adorable calico cat sleeping. The gentle pastel colors make it a perfect match for casual outfits. It comes in three sizes: S, M, and L." While the seller can create this description themselves, it is recommended to have it generated by a text generator. The seller uploads the product image and product description to the order management processing device 22.

[0115] Review Unit 22h reviews the uploaded product information. Review Unit 22h checks the quality of the design images, the appropriateness of the description, and the reasonableness of the pricing. If the product passes the review, the product information is registered in the product information database 22d and sales begin.

[0116] Upon receiving an order, the inventory management processing device 24 checks the inventory of white T-shirts of the specified size and allocates the inventory. The manufacturing management processing device 28 controls the printing device 60 to print the design image.

[0117] The quality control department 34c checks the quality of the printed T-shirts. T-shirts that pass the quality check are shipped to customers. Sales records are recorded in the order information database 22e and used for subsequent inventory management and production planning.

[0118] In this way, the product sales system 10 can efficiently execute a series of processes, from design generation to product shipment.

[0119] ≪3.2 Examples of Educational Processes≫ Next, we will describe a specific example of an educational process using the educational system 40. In this example, we will describe a case where a trainee who is becoming a new seller uses the educational system 40 to proceed with their learning.

[0120] Participants access the educational system 40 from their participant terminal 70 and begin the first stage of learning. The educational processing device 42 delivers video materials explaining the basic concepts of the on-demand production method. Participants learn about the advantages of a sales method that does not require inventory and the flow from order to manufacturing.

[0121] In the second stage, the educational processing device 42 delivers video materials explaining the basic operations of image editing tools and template data for actual operation practice. Participants use the delivered template data to practice basic operations such as image placement, resizing, and color adjustment.

[0122] In the third stage, participants will practice creating product images. The educational processing device 42 provides multiple blank product images and design templates. Participants will use these to create product images and submit them as an assignment along with product descriptions.

[0123] In the fourth stage, participants will practice listing products. The educational processing device 42 provides a practical training environment for registering product information. Participants will practice the entire process from registering product information to handling the review process.

[0124] In the fifth stage, participants learn how to utilize image generation AI. The educational processing device 42 provides teaching materials that explain how to create effective prompts and the criteria for selecting generated images. Participants then operate the image generation AI to practice generating design images suitable for commercialization.

[0125] The progress management unit 42c evaluates the participants' exercise results at each stage. If the passing criteria are met, participants can proceed to the next stage. Upon completion of all stages, participants can begin selling the actual products.

[0126] Thus, the education system 40 can provide an environment in which learners can reliably acquire skills through a step-by-step learning process.

[0127] ≪4.1 Overall System Effects≫ Next, we will explain the effects of the product sales system 10. The product sales system 10 is a system that integrates product manufacturing and sales using generation AI, and it has the following effects.

[0128] As a first benefit, the merchandise sales system 10 can significantly reduce inventory risk. This system employs an on-demand production method, where products are manufactured only after an order is received. Therefore, it can avoid the burden of unsold inventory. In addition, by keeping only plain products in stock and printing designs only upon order, product inventory can be kept to a minimum.

[0129] As a second benefit, the merchandise sales system 10 can reduce manufacturing costs. This system employs a direct printing method using a printing device 60. As a result, the manufacturing cost per garment can be reduced by approximately 80 percent compared to conventional methods. Furthermore, by optimizing the manufacturing lot size, the operating efficiency of the printing device 60 can be improved, leading to further cost reductions.

[0130] As a third benefit, the merchandise sales system 10 can achieve product diversification. This system generates design images using generation AI. Therefore, it can quickly provide new product designs in response to changes in trends and demand. In addition, because small-lot production is possible, products for specific target audiences can be manufactured efficiently.

[0131] As a fourth benefit, the product sales system 10 can efficiently train sellers and manage quality. This system integrates the education system 40. Therefore, it can provide systematic training to new sellers. In addition, the product review mechanism ensures that only products that meet certain quality standards can be sold.

[0132] ≪4.2 Technical Effects≫ Next, the technical effects of the merchandise sales system 10 will be explained. The merchandise sales system 10 achieves the following technical effects through the cooperation of each subsystem via the network 29.

[0133] As a first technical benefit, the product sales system 10 can automate a series of processes from image generation to manufacturing. This system automatically converts the image generated by the generation AI processing unit 32a into a format suitable for printing by the printing device 60. Therefore, the process from design to manufacturing can be made more efficient.

[0134] As a second technical benefit, the product sales system 10 can optimize the manufacturing process based on order information. This system, through its optimization unit 22i and schedule generation unit 22j, automatically adjusts the manufacturing lot and schedule according to the order status. This improves the operating efficiency of the manufacturing equipment.

[0135] As a third technical benefit, the merchandise sales system 10 can stabilize the quality of the products. This system generates image data optimized for printing using the image conversion unit 32b, and automatically inspects the print quality using the quality control unit 34c. Therefore, it can provide products of consistent quality.

[0136] As a fourth technical benefit, the product sales system 10 can optimize educational content according to the learner's progress. This system evaluates the learner's level of understanding via the progress management unit 42c and selects and delivers the most appropriate teaching materials. Therefore, it can realize effective education tailored to the learner's level of understanding.

[0137] ≪5 Variations≫ Next, a modified example of this embodiment will be described.

[0138] As the first variation, a variation of the system configuration will be described. In this embodiment, the manufacturing management system 20, the personal accessories manufacturing system 30, and the education system 40 are configured as separate systems, but these can be integrated into a single processing system. Furthermore, the image management processing device 26 and the education processing device 42 can be integrated to centrally manage image data and content data.

[0139] As a second variation, a variation of the processing flow will be described. In this embodiment, manufacturing begins after receiving an order for a product, but it is possible to analyze order trends and manufacture a certain number of items in advance. In this case, the optimization unit 22i determines the manufacturing quantity by considering past sales performance and seasonal fluctuations. This makes it possible to shorten the delivery time.

[0140] As a third modification, a modification of the image generation process will be described. In this embodiment, an image is generated from a text prompt, but it is also possible to generate images based on existing images or by combining multiple images. This makes it possible to provide products with a wider variety of designs.

[0141] As a fourth variation, a variation of the educational process will be described. In this embodiment, a five-stage educational process is used, but the content and order of the educational process can be changed according to the skill level and objectives of the learners. Furthermore, AI can be used to analyze the learners' level of understanding and provide individually optimized educational programs.

[0142] As a fifth modification, an example of expanding the application field will be described. In this embodiment, the target was personal clothing such as T-shirts and hoodies, but the system of the present invention can be applied to various products such as mugs, smartphone cases, and stationery. In this case, the same effect can be obtained by changing the printing device 60 to a printing device appropriate for the target product.

[0143] Furthermore, the above modifications can be implemented individually or in any combination. In addition, the configurations described in the above embodiments and modifications are merely examples of one embodiment of the present invention, and without departing from the spirit of the present invention, some configurations may be omitted or some configurations may be implemented in a manner other than those described above.

[0144] ≪Characteristic configuration of the present invention and the effects of said configuration≫ The merchandise sales system 10 described above has the following characteristic configurations (a) to (o). Therefore, the merchandise sales system 10 of this embodiment can achieve the following unique effects that cannot be achieved with prior art.

[0145] (a) The method for manufacturing personal accessories according to this embodiment includes a generation step of generating an image for the product using the generation AI processing unit 32a, a conversion step of converting the image into a format suitable for printing using the image conversion unit 32b, and a printing step of printing using the printing device 60.

[0146] The manufacturing method of this embodiment generates an image using a generation AI as described in (a) above, converts the image into a format suitable for printing, and then prints it. Therefore, products with a high level of design can be manufactured efficiently.

[0147] (b) The manufacturing method of this embodiment involves performing the printing process in response to an order.

[0148] The manufacturing method of this embodiment reduces inventory risk by executing the printing process in response to orders, as described in (b) above. Furthermore, it enables flexible production to meet customer needs.

[0149] The manufacturing method of this embodiment has the configuration described in (b) above, but the present invention is not limited thereto. The manufacturing method also allows for the production of a certain number of items in advance. In this case, the delivery time can be shortened by determining the production quantity considering past sales performance and seasonal fluctuations.

[0150] (c) The personal accessories manufacturing system 30 of this embodiment includes a storage unit 42a that stores image data generated by the generation AI, an image conversion unit 32b that converts the image data into data for printing on personal accessories, and a printing device 60 that prints on personal accessories based on the converted printing data.

[0151] The personal accessories manufacturing system 30 of this embodiment, as described in (c) above, includes a storage unit 42a, an image conversion unit 32b, and a printing device 60, enabling efficient printing of images generated by the generation AI. Furthermore, by storing the generated image data, it becomes possible to reuse it.

[0152] (d) The personal accessories manufacturing system 30 of this embodiment includes a receiving unit by order management processing device 22 and a control unit by printing control unit 34b.

[0153] The personal accessories manufacturing system 30 of this embodiment can achieve on-demand production by controlling the process from order placement to printing using the order management processing device 22 and the print control unit 34b, as described in (d) above.

[0154] The personal accessories manufacturing system 30 of this embodiment is equipped with the configuration described in (d) above, but the present invention is not limited thereto. The personal accessories manufacturing system 30 can also perform manual order management and printing control. In this case, the system configuration can be simplified.

[0155] (e) The personal accessories manufacturing system 30 of this embodiment comprises a manufacturing management system that includes an inventory management unit using an inventory management processing device 24, an image management unit using an image management processing device 26, and a printing control unit using a manufacturing management processing device 28.

[0156] The personal accessories manufacturing system 30 of this embodiment, by including an inventory management processing device 24, an image management processing device 26, and a manufacturing management processing device 28 as described in (e) above, can achieve efficient inventory management and production management. Furthermore, inventory management can be simplified by managing only the inventory of plain personal accessories.

[0157] (f) The personal accessories manufacturing system 30 of this embodiment comprises a plain personal accessories image storage unit 36a, a generated image storage unit 36b, and an image synthesis unit 32c.

[0158] The personal accessories manufacturing system 30 of this embodiment allows for prior confirmation of the finished product image by combining two types of image data as described in (f) above. Furthermore, by managing the image data separately, it becomes possible to simulate various combinations.

[0159] (g) The personal accessories manufacturing system 30 of this embodiment includes an order processing unit using an order management processing device 22.

[0160] The personal accessories manufacturing system 30 of this embodiment, by including the order management processing device 22 as described in (g) above, can accept orders after confirming the finished product image. This prevents mismatches between customer expectations and the actual product.

[0161] The personal accessories manufacturing system 30 of this embodiment is equipped with the configuration described in (g) above, but the present invention is not limited thereto. The image generation system can perform only image generation, and order taking can be handled by a separate system. In this case, the independence of the system can be increased.

[0162] (h) The program of this embodiment enables the computer to implement the generation function by the generation AI processing unit 32a, the conversion function by the image conversion unit 32b, and the output function by the print control unit 34b.

[0163] The program of this embodiment allows for efficient management of the manufacturing of personal accessories by having a computer implement each function as described in (h) above. Furthermore, the software implementation enables flexible system expansion.

[0164] (i) The personal accessory image generation method of this embodiment involves storing image data in the plain personal accessory image storage unit 36a and the generated image storage unit 36b, and generating personal accessory image data in the image synthesis unit 32c.

[0165] The image generation method of this embodiment can efficiently generate a finished product image by storing and combining images as described in (i) above. Furthermore, by reusing the generated image data, it is possible to easily develop similar products.

[0166] (j) The education system 40 of this embodiment comprises a student terminal 70 and an education processing device 42, provides education content in five stages, and the progress management unit 42c selects the next content based on the learning history.

[0167] The educational system 40 of this embodiment provides step-by-step educational content as described in (j) above, enabling learners to progress through their learning systematically. Furthermore, by selecting the next content based on the learner's learning history, optimal learning tailored to the learner's level of understanding becomes possible.

[0168] (k) The education system 40 of this embodiment includes an examination unit 48 that examines product information, an examination result management unit that records the examination history, and a notification to the trainee terminal 70 when similar problems are detected.

[0169] The education system 40 of this embodiment can ensure product quality by including the review unit 48 as described in (k) above. Furthermore, the notification function based on the review history allows trainees to make improvements by referring to past problems.

[0170] Although the education system 40 of this embodiment has the configuration described in (k) above, the present invention is not limited thereto. The education system 40 can also simplify the review function and perform only basic format checks. In this case, the processing load on the system can be reduced.

[0171] (l) The education system 40 of this embodiment has a first storage unit, a second storage unit, and a third storage unit, and distributes data in response to requests from the student terminal 70.

[0172] In this embodiment, the education system 40 stores various types of data in a storage unit as described in (l) above, allowing learners to easily obtain the necessary data. Furthermore, by utilizing AI prompts, effective product descriptions can be created.

[0173] (m) The product sales system 10 of this embodiment includes an order management processing device 22, an inventory management processing device 24, an image management processing device 26, and a manufacturing management processing device 28, and each processing device works in cooperation to execute a series of processes from order placement to manufacturing.

[0174] The product sales system 10 of this embodiment can improve the overall processing efficiency of the system by distributing each function to a dedicated processing unit as described in (m) above. Furthermore, by having each processing unit work in cooperation with each other, the entire process from order placement to manufacturing can be managed efficiently.

[0175] (n) In this embodiment, the sales system 10 has an order management processing device 22 that controls communication with the seller terminal 50 and verifies product information.

[0176] The product sales system 10 of this embodiment can ensure the quality of products by having a screening function as described in (n) above. Furthermore, by making only products that have passed the screening available for order, customer satisfaction can be improved.

[0177] The product sales system 10 of this embodiment has the configuration described in (n) above, but the present invention is not limited thereto. The product sales system 10 can also perform the inspection function manually. In this case, more detailed quality checks can be performed.

[0178] (o) In this embodiment, the sales system 10 includes an order management processing device 22 which comprises an optimization unit 22i and a schedule generation unit 22j, and a manufacturing management processing device 28 which controls the printing device 60 based on these.

[0179] The product sales system 10 of this embodiment can improve manufacturing efficiency by having the optimization function described in (o) above. Furthermore, manufacturing costs can be reduced by optimizing the manufacturing lot and schedule.

[0180] The product sales system 10 of this embodiment has the configuration described in (o) above, but the present invention is not limited thereto. The product sales system 10 can also be manufactured for each individual order. In this case, faster product delivery becomes possible.

[0181] The configurations described in (a) to (o) above can be adopted independently or in any combination. In particular, a more effective merchandise sales business can be realized by combining the personal accessories manufacturing method, personal accessories manufacturing system, image generation system, education system, and merchandise sales system. [Industrial applicability]

[0182] The present invention's personal accessories manufacturing system can be used for the manufacture and sale of personal accessories such as T-shirts, hoodies, and eco-bags. Furthermore, the present invention's program and personal accessories image generation method can be used for image generation and manufacturing management in a merchandise sales system. In addition, the present invention's merchandise sales training system can be used for training and quality control of sellers in an on-demand merchandise sales business. Moreover, the present invention's merchandise sales system can be used for a series of business operations, from product planning to manufacturing and sales, utilizing AI generation. [Explanation of Symbols]

[0183] 10: Merchandise sales system 22: Order Management Processing Machine 22i: Optimization Unit 22j: Schedule generation unit 24: Inventory management processing device 26: Image management and processing device 28: Manufacturing control processing equipment 30: Personal accessories manufacturing system 32a: Generation AI Processing Unit 32b: Image conversion unit 32c: Image synthesis unit 34b: Printing control unit 36a: Plain personal accessories image storage unit 36b: Generated image storage unit 40: Education System 42: Educational Processing Equipment 42a: Storage section 42c: Progress Management Department 48: Review Department 50: Seller's terminal 60:Printing device 70: Participant's device

Claims

1. A generation process that generates images for products using generation AI, A conversion step that converts the generated image into a format suitable for printing on the product, The printing process involves printing on the product based on the converted image data, A method for manufacturing personal accessories, characterized by including the following:

2. In claim 1, A method for manufacturing personal accessories, characterized by performing the printing process in response to an order.

3. A storage unit that stores image data generated by the generation AI, A conversion unit that converts the aforementioned image data into data for printing on personal accessories, A printing unit that prints on personal accessories based on the converted print data, A personal accessories manufacturing system characterized by comprising the following features.

4. In claim 3, The reception department that receives order information, A control unit that controls the printing unit according to the order information, A personal accessories manufacturing system characterized by further comprising the following features.

5. The inventory management department holds multiple plain personal accessories in stock, An image management unit that manages image data generated by the generation AI, A print control unit that prints by combining the plain personal accessories and the image data in accordance with the order, A personal accessory manufacturing system according to claim 3 or 4, characterized by comprising the following:

6. A first memory unit that stores image data of plain personal accessories, A second storage unit that stores image data generated by the generation AI, An image generation unit that generates image data of an accessory by combining the image data of the plain accessory and the generated image data, A personal accessory manufacturing system according to claim 3 or 4, characterized by comprising the following:

7. In claim 6, A personal accessories manufacturing system further comprising an order processing unit that accepts orders for personal accessories based on the aforementioned personal accessories image data.

8. A program for causing a computer to execute a method for manufacturing personal accessories, To the aforementioned computer, A generation function that generates images for products using generation AI, A conversion function that converts the generated image into a format suitable for printing on personal accessories, An output function that outputs print instructions based on image data converted according to the order, A program characterized by its ability to achieve this.

9. A product sales education system equipped with a student terminal and a processing device, The aforementioned processing apparatus is A memory unit for storing educational content related to the manufacturing and sale of products, A communication control unit that controls communication with the aforementioned student terminal, The progress management department manages the progress of education, Equipped with, The aforementioned educational content is The first content explains inventory management methods using an on-demand production system, The second content explains how to use image editing tools and how to plan products, The third content explains how to combine product images and how to create product descriptions. The fourth content section explains how to list products and the review criteria, The fifth content explains how to use the image generation AI, Includes, The aforementioned progress management unit, A product sales education system characterized by selecting and delivering the next learning content based on learning history information from the aforementioned student terminal.

10. In claim 9, The aforementioned processing apparatus is The reception desk receives product information submitted by participants, The review department, which reviews the aforementioned product information, The Department for Managing Review Results, Furthermore, The aforementioned review department, A first judgment unit that determines the originality of the design, A second determination unit for determining the appropriateness of image quality, A third determination unit for determining the appropriateness of the product description, It has, The aforementioned review result management unit records the review history and notifies the trainee terminal when similar problems are detected, thus forming a product sales training system.

11. In claim 9 or 10, The aforementioned processing apparatus is A first storage unit that stores image data of plain apparel products, A second memory unit that stores the AI ​​prompt for generating the product description, A third memory unit that stores design templates, It has, A product sales education system characterized by selecting and distributing necessary data from the first to third storage units in response to a request from the participant's terminal.

12. A product sales system comprising an order management processing device, an inventory management processing device, an image management processing device, and a manufacturing management processing device, The aforementioned order management processing device is The Order Management Department manages product order information, A manufacturing instruction generation unit that generates manufacturing instructions for the ordered product, Equipped with, The aforementioned inventory management processing device is The inventory management department manages inventory information for multiple plain products, An inventory allocation unit that allocates inventory based on the aforementioned manufacturing instructions, Equipped with, The aforementioned image management processing device is An image storage unit that stores multiple design images generated by an image generation AI, An image generation unit that generates a product image by combining the aforementioned design image and the aforementioned plain product image, Equipped with, The aforementioned manufacturing control apparatus is A print control information generation unit that generates print control information based on the manufacturing instructions and the design image, A print control unit that controls the printing device based on the print control information, A product sales system characterized by having the following features.

13. In claim 12, The aforementioned order management processing device is A communication control unit that communicates with the seller's terminal, A review unit that reviews product information uploaded from the aforementioned seller terminal, Furthermore, The aforementioned review department reviews the quality of the product images, the appropriateness of the design, and the appropriateness of the product description. A product sales system characterized by making only product information that has passed the screening process available for order.

14. In claim 12 or 13, The aforementioned order management processing device is An optimization unit that optimizes manufacturing lots based on the number of orders, A schedule generation unit that generates a manufacturing schedule based on the optimized manufacturing lot, Furthermore, The manufacturing management processing device is characterized by controlling the printing device in accordance with the manufacturing schedule, thereby forming a product sales system.

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