MAiN : 개인 맞춤형 3D 생성 기반 쇼핑 플랫폼

When ordinary people decorate their homes or buy furniture, they face difficulties due to a lack of professional interior design knowledge and limitations in imagination. Previously, they had to measure the room area themselves, virtually arrange furniture, or pay for consulting from experts. In addition, there was the inconvenience of having to search multiple shopping malls one by one to find furniture in the desired style. Although there were some AR interior apps, it took time to model the real space, and in most cases, users had to arrange the furniture themselves rather than receiving recommendations. In short, there was no way for general consumers to easily perform professional interior design and purchase at once.

The MAiN app automatically generates a 3D model of a room when you take a panoramic photo of the room with your smartphone camera. At this time, the existing furniture and structure in the room are also modeled, creating an accurate virtual space within 10 seconds. Then, when the user enters their preferred style, lifestyle, etc., the AI suggests furniture arrangements and interior styles that suit the space. For example, if you specify "Nordic style, lots of storage space," it will show you a layout that matches. In-app commerce is integrated so that you can immediately purchase the furniture/accessory items placed in the layout. In this process, the AI recommends products that perfectly fit the space dimensions and user preferences, eliminating the need for separate searches and making it a one-stop process. The core technologies are 3D space reconstruction from a single image (AI computer vision), a space analysis-based product recommendation engine, and AR view-based placement simulation. It is innovative compared to competing products in that it does not require complicated operations like existing tools and provides a UX optimized for mobile.

General consumers (B2C)This is a mobile app service used directly by consumers. The main user base will be those in their 20s to 40s who are interested in decorating their homes, newlyweds, those living alone, or those who are new to interior design. From a B2B perspective, furniture manufacturers and distributors who are tenants in the app are stakeholders and sell products through the MAiN platform. In the future, interior designers can also use this tool to make suggestions to customers, enabling B2B2C utilization. Initially, the focus is on the Korean market, and later, global B2C service expansion through global app markets is also planned.

There are no special regulatory/environmental restrictions, but since spatial data processing is key for accurate 3D modeling, it is necessary to accumulate data on the housing structures of each country. Industrially, there is great potential for expansion by riding the growth of the online furniture market and the home interior market. Overseas expansion is not difficult if multilingual support and linking with local furniture catalogs are achieved. Since this app utilizes the AR function of smartphones, the user experience will be improved as AR becomes more widespread. It can be developed into VR home tours or metaverse showrooms and linked to the real estate and construction fields. Also,user data (preferences, purchase history)Based on this, it is possible to expand additional services such as customized interior subscription services or AI designer matching in the future. However, it is necessary to build user trust in 3D recommendations that are not completely the same as reality, and there are operational challenges such as the need for recommended products to be linked to local inventory/delivery.

The CES judges said of MAiN,"It gives consumers professional-level tools."They praised it as an easy and fast interior solution. The speed and convenience of 3D space creation in 10 seconds, and the completeness from visualization to purchase, received good scores in terms of technical completeness and UX excellence. It was also evaluated as an inclusive technology in that it greatly lowered the barriers to entry for traditional interior tools. Regarding market expectations, there was a positive outlook that high interest is expected as it is a service that perfectly matches the trend of personalization along with the growth of furniture D2C brands. However, there was also an opinion that excessive expectations should be avoided, as the accuracy of AI recommendations and how well they reflect user preferences need to be verified in the future. Overall, there was favorable comment that it is a hidden innovation award that deserves more attention rather than being undervalued.