AI-BASED DYNAMIC PRODUCT DESIGN AND ORDERING APPLICATION

Abstract

The invention is an AI-based dynamic product design and ordering application that allows users creating product designs using natural language without needing technical knowledge and A mobile application that enables designs to be presented to manufacturers through AI-powered visualization. It relates to the software system. The designs created in the invention are manufactured by the producers. Offers are prepared, orders are placed according to the selected offer, and the product is delivered to the user. The entire process, from delivery to final delivery, is managed digitally and is personalized and on-demand. This application system, which makes production possible, includes product development, quotation management, order tracking, and By integrating all steps, such as production coordination, it brings together the user and the producer. It creates a dynamic marketplace among them.

Description

AI-BASED DYNAMIC PRODUCT DESIGN AND ORDERING APPLICATION Technical Area: The invention encompasses mobile applications, AI-powered content creation, customized product design, and It belongs to digital ordering systems technology, allowing the user to order products using only natural language input. to create the design, to automate the visualization process, and for the vendors AI-based dynamic product design that enables the manufacturer to produce the product by submitting bids. This relates to the ordering process. Brief Description of the Invention: The invention takes a product idea expressed by the user in natural language and uses artificial intelligence algorithms to process it. visually creates, productizes this visual in a way that allows sellers to submit bids, and selects a mobile device that enables the process of delivering the product to the user to be initiated It relates to design and order execution. The invention combines traditional product design with e-commerce. Unlike other systems, the product is created by the user, and supply follows this demand. It has a business model that operates in reverse, as it was born. State of the Art: Today, customized product design often involves limited options and user intervention. This is done through, for example, e-commerce platforms (Etsy, Amazon Handmade, Users (like those on Shopify, etc.) can only place orders using existing templates; they cannot customize color, size, etc. These systems have the ability to modify a few limited parameters, such as the text. It does not offer users the opportunity to truly create a "new product," only a ready-made one. This allows for variations in products. Similarly, visual production technologies also... It has developed in a separate field. Unlike OpenAI's DALL·E, Midjourney, or open-source alternatives... Text-to-visual generation models like Stable Diffusion can be used for artwork, illustrations, or concepts. They are used in design and production; however, these systems are being applied to e-commerce or manufacturing processes. Direct integration is not provided. The images produced are for visual expression or personal purposes only. It is intended for personal use and is not integrated into an ordering platform, therefore it is not a commercial product. It does not convert. Also, some commercial systems require the user to upload images. The image is requested, and then a product design is presented based on this image. For example; Printful, In systems like Redbubble and TeeSpring, the user uploads an image file, and this image is then... The design is printed on t-shirts, mugs, or bags. However, in these systems, the user is responsible for the visual production. There is no AI-powered automated production infrastructure. The user has control over the design, externally. It has to produce it using a tool and upload it to the system. In summary, the systems developed to date are: • Or focused solely on product sales (e.g., Etsy), • Or focused solely on visual production (e.g., DALL·E, Midjourney), • Or based solely on print and image uploading (e.g., Printful), • Or they simply offered chained data logging (e.g., OpenSea). In this regard, none of the systems listed above explicitly allow a user to communicate solely through natural language. by defining the product and designing it, and then converting this design into a visual representation using artificial intelligence, 2. Afterwards, obtaining offers from actual sellers and placing orders, production, and delivery based on those offers. It does not offer an end-to-end integrated solution that enables the initiation of the process. In this context, Current techniques offer fragmented and scattered solutions; they place the user among multiple systems. This forces them to take action. Furthermore, the use of these systems is more... It is expensive. The Purpose of the Invention and the Solutions it Provides to the State of the Art: The invention is an artificial intelligence-based dynamic product design and ordering application that allows users requests entered using only natural language, without requiring any technical design knowledge (prompt) enables them to create original visual content and commercialize this content. an integrated mobile system that transforms products into tangible results and directly interacts with the producer-seller side. It is a software infrastructure. This structure not only offers visual production capabilities, but also processes the produced content. designs can be ordered directly, quotes can be obtained from manufacturers, and the shipping process can be initiated. It provides end-to-end artificial intelligence integration extending to this extent. The system in question is this In this respect, it surpasses existing technology, transforming the user from a consumer to a producer. It is implementing an innovative digital approach by directly linking visual design to the order chain. It presents a market model. In the current state of the art, visual production systems (e.g., Midjourney, DALL·E, Stable) (Diffusion, etc.) are used solely for visual generation purposes; these outputs are then... This is done manually through the production or sales stages. Similarly, classic e-commerce These systems involve the presentation of fixed products, loaded by the manufacturer and seller, to the buyer. It is based on 3 principles and has the ability to create unique products according to user demand. It does not possess this. The innovation brought about by the invention combines these two areas and is user-centered. It emerges with its structure that creates a production cycle. The user uses natural language in the system. When you express a product idea, that expression is transformed into a design by an AI-powered visual generator. This image is being converted. This image is sent to the sellers registered in the system, and each seller receives this image. It offers suitable production proposals. The user compares the incoming proposals and chooses their preferred manufacturer. This allows the system to initiate the process. Thus, the system can produce a product based on the creative request from the user. It differs from classic e-commerce platforms with its reverse trading model. Furthermore, the entire process, from image creation to order completion, is done via mobile. It is managed within the application. The user interface is simple, user-friendly, and does not require technical knowledge. It is structured in a way that does not require traditional graphic design and production. Compared to other processes, it provides significant time and cost savings; it allows individual users to create It allows them to turn their ideas into products in minutes. Indeed, the application In order for this process to be initiated, users need to have the system's defined digital wallets. It is mandatory to have a minimum balance determined by the system. This condition applies to the system. efficient use of resources, prevention of spam content production, and support for the producer side integrated as a control mechanism developed to ensure effective participation in the process In addition, thanks to the optional blockchain integration, each A digital identity for the product idea can be created, and ownership of this content can be verified. This allows for the creation of original content for both users and sellers. 4 productions are protected. Content control and system security are supported by artificial intelligence. This is achieved through filtering, classification, and sentiment analysis algorithms. The distinctive technical elements of the invention are: ▪ The request entered using natural language is directly translated into visuals and products via artificial intelligence. transformation, ▪ User-centric product development and the resulting reverse manufacturing approach, ▪ Offer-based producer-seller interaction model, ▪ Managing the order, payment, quote request, and shipping process through a single mobile platform, ▪ Optional blockchain-backed content verification infrastructure, ▪ It is an artificial intelligence-based content security and quality control system. When all these elements are combined, the invention is not just an AI-powered design tool. going beyond mere existence, original ideas can be commercialized, put into production, and A technically advanced, holistic solution that creates an innovative bridge between user and seller. The system offers Detailed Description of Our Invention: The invention, an artificial intelligence-based dynamic product design and ordering application, allows users by inputting text in natural language, they can visually design the product they want and... artificial intelligence that enables the product to be offered for sale by real manufacturers. It relates to a digital product design and ordering platform based on artificial intelligence. The system is end-to-end artificial intelligence-based. By integrating it, it digitizes traditional design, production, and marketing processes. It empowers individuals to become active designers and customers, while also benefiting manufacturers. It creates a dynamic market. Users do not need to have any design knowledge. being able to design products simply by writing text without needing any additional resources, and making these products real. The fact that the system is proposed by the manufacturers is its most distinctive feature. The subject of the invention is artificial... Intelligence-based dynamic product design and ordering application, printed t-shirts, phone cases, mugs. It allows for personalized products such as cups, bags, and shoes. It also offers gift options. The manufacturing and sales sector encompasses many areas such as goods, promotional products, and home decor items. Educational institutions can reshape the cycle with this system that starts the process from the user. Small businesses, artists, and boutique producers are among the system's target audience. The system's usage and technical aspects are as follows: ▪ Prompt Input Interface: In the first step of the system, the user enters a text-based input ("prompt") (in this form) they write the product idea. For example, “Blue in color, with a cloud pattern, soft A description such as "textured baby blanket" can be entered. This field is simple; the user... It is designed with a user-friendly interface and focuses on text input. ▪ AI Generation Module: Prompt data, large language and visual models like OpenAI. It is directed to an artificial intelligence infrastructure that includes Stable Diffusion or DALL·E. Using visual generators such as [mention specific visual elements], create a unique product design that matches the entered text. is created. Alternatively, the user must top up their balance first. This visual design process may require traditional design software. It is performed automatically without being heard. 6 ▪ Product Publishing Area: The created image will be published in the system after user approval. is being published. The user can publish this image on their profile or on the general platform. It is waiting for manufacturers to submit bids. ▪ Seller Panel: Companies or individual producers who register as manufacturers / sellers in the application, They will review the published images and submit proposals for designs they can produce themselves. This allows for a "proposal for a product" method instead of the classic "product presentation" method. It is being adopted. ▪ Quotation Management Module: The system provides the user with detailed information on all manufacturer quotations received. They list all the offers together (price, delivery time, shipping status, etc.). The user sees these offers. It selects and approves the most suitable one among them. ▪ Order and Payment Module: After the user selects an offer, the classic e-commerce process begins. The process begins. Payment is received, the order is placed, and the product is delivered by the manufacturer. It is being prepared and shipped. ▪ Session and Data Management Layer: All user actions, offer history, orders, Manufacturer performance and user preferences are securely recorded at this layer of the system. This data is being collected. In the future, this information will be used by artificial intelligence systems to provide personalized recommendations. It also makes it possible to offer it. The invention is designed in the form of a mobile application. Thus, the user can access the application from a desktop computer. Product ideas can be generated using only smartphones or tablets, without the need for computers. You can create 7, receive quotes, and manage the ordering process. This makes the process accessible from anywhere. and makes it a continuous process. In fact, the system in question, unlike classic e-commerce models, is based on demand-driven production. It has a structure where the product first originates as an idea, and then through user-producer interaction. This is being implemented. Thus, highly personalized solutions are achieved with minimum inventory costs. Production can be carried out. At the same time, users are not only consumers; they are potential partners. They become designers and market creators. 8

Claims

1- The invention is an artificial intelligence-based dynamic product design and ordering application, characterized by: - a prompt input interface where the user enters their product request in text format, - generating visuals in response to the input in question via OpenAI or similar API integration. an artificial intelligence generation module, - publishing a product where a user-generated image is published on the system area, - Manufacturers or sellers registered with the application can price and display these visual products. a vendor panel that can provide quotes based on production time, - The offers received are listed to the user, allowing them to make a selection according to their preferences. a proposal management module that provides, - an order and payment process initiated based on the selected offer. module, - a session and data management layer where user, transaction, and offer history is stored. It is characterized by its inclusion. 2- The invention, according to Claim 1, is an artificial intelligence-based dynamic product design and ordering application. Its feature is that the user can initiate the visual production process by accessing the system. This is characterized by the requirement that the user account must have a predefined balance. is being done. 3- The invention relates to artificial intelligence-based dynamic product design and ordering according to Claims 1 and 2. It is an application whose feature is that it protects the copyright of user-generated images.

9. A digital asset based on NFT or blockchain technology for protection. It is characterized by being supported by a certification module. 4- The invention relates to the design of an artificial intelligence-based dynamic product according to Claim 1, Claim 2, or Claim 3. It is an ordering application, and its feature is that it rejects inappropriate text inputs written by the user. A natural language processing-based content filter that enables content analysis. It is characterized by its module. 5- The invention is an artificial intelligence-based dynamic product according to Claim 1, Claim 2, Claim 3, or Claim 4. It is a design and order application, and its feature is the acceptance of the offer given by the seller. Following this, the user can track all stages of the order process. It is characterized by providing an order tracking interface. 6- The invention is based on artificial intelligence according to Claim 1, Claim 2, Claim 3, Claim 4, or Claim 5. It is a dynamic product design and ordering application; its feature is that it is created by the user. a preliminary process where visual designs are subject to manager approval before being made available to vendors It is characterized by including a moderation layer.