DDMTOWN Whitepaper
  • DDMTOWN Whitepaper
    • DDMTOWN Whitepaper [ENG]
      • 1. Introduction
        • 1.1 Cryptographic Economy Created by Blockchain
        • 1.2 DDMTOWN Metaverse based on Blockchain
      • 2. Vision and Mision
      • 3. DDMTOWN Metaverse
      • 4. Integrating Fashion into Metaverse
        • 4.1 Virtual-Reality Fashion Show
        • 4.2 Virtual Clothing
        • 4.3 Direct to Avatar(D2A : Direct to Avatar)
        • 4.4 'Virtual fitting' using augmented reality (AR)
        • 4.5 Virtual Reality (VR), 3D Showroom
        • 4.6 DDMTOWN Initiative for Artificial Intelligence (AI)
      • 5. NFT Platform
        • 5.1 Designer’s NFT
        • 5.2 FAVOR NFT
        • 5.3 Virtual Real Estate NFT
        • 5.4 Other NFTs
      • 6. DDMTOWN Token Ecosystem
        • 6.1 Token Ecosystem
        • 6.2 Token Metrics
        • 6.3 Usage and Lock Up
      • 7. Roadmap
        • 7.1 DDMTOWN Roadmap
        • 7.2 NFT Roadmap
        • 7.3 TTHOLIC Roadmap
        • 7.4 Project Roadmap
      • 8. License
      • 9. Team and Advisors
        • 9.1 Team
        • 9.2 Developement Team / CS Team / Marketing Team
        • 9.3 Advisors
      • 10. Partners
      • 11. Conclusion
      • 12. Disclaimer
    • DDMTOWN Whitepaper [KOR]
      • 1. 개요
        • 1.1 블록체인으로 창출되는 암호경제(블록체인 경제)
        • 1.2 디디엠타운(DDMTOWN) 메타버스
      • 2. 비전과 목표
      • 3. 디디엠타운(DDMTOWN) 메타버스
      • 4. 메타버스와 패션
        • 4.1 가상패션쇼
        • 4.2 가상의류판매
        • 4.3 다이렉트투아바타(D2A : Direct to Avatar)
        • 4.4 증강현실(AR)을 활용한 ‘가상피팅’
        • 4.5 가상현실(VR), 3D쇼룸
        • 4.6 인공지능(AI)을 위한 디디엠타운 계획
      • 5. NFT 통합플랫폼
        • 5.1 디자인 NFT
        • 5.2 FAVOR NFT
        • 5.3 가상부동산 NFT
        • 5.4 기타 NFT
      • 6. 디디엠타운(DDMTOWN) 메타버스 토큰생태계
        • 6.1 토큰생태계
        • 6.2 발행 정책
        • 6.3 사용처 및 락업 정책
      • 7. 로드맵
        • 7.1 DDMTOWN 로드맵
        • 7.2 NFT 로드맵
        • 7.3 티티홀릭 로드맵
        • 7.4 프로젝트 로드맵
      • 8. 라이센스
      • 9. 팀 및 어드바이저
        • 9.1 임원
        • 9.2 개발팀 / CS팀 / 운영팀
        • 9.3 어드바이저
      • 10. 파트너스
      • 11. 결론
      • 12. 법적고지
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  1. DDMTOWN Whitepaper
  2. DDMTOWN Whitepaper [ENG]
  3. 4. Integrating Fashion into Metaverse

4.6 DDMTOWN Initiative for Artificial Intelligence (AI)

Previous4.5 Virtual Reality (VR), 3D ShowroomNext5. NFT Platform

Last updated 1 year ago

Against the backdrop of recent technological development of AI and the increasingly complex landscape of diverse AI Industries, we at DDMTOWN management have a strong belief that Generative AI has the potential to affect the entire fashion ecosystem, thus far, DDM’s B2B and B2C players in South Korea.

We all know that Generative AI (GenAI) is a type of Artificial Intelligence that can create a wide variety of data, such as images, videos, audio, text, and 3D models, via using intelligent algorithms that generate new outputs based on the data they have been trained on.

Recently, everyone would have heard of OpenAI’s ChatGPT, the AI chatbot that became an overnight sensation and sparked a digital race to build and release competitors. ChatGPT is only one consumer-friendly example of generative AI, a technology comprising algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos.

Generative AI has the potential to affect the entire fashion ecosystem. Fashion companies can use the technology to help create better-selling designs, reduce marketing costs, hyper-personalize customer communications, and speed up processes. It may also reshape the supply chain and logistics, store operations, and organization and support functions.

Thus far, DDMTOWN will take a two-prong approach to generative AI, firstly partnering with the right tech companies both locally and globally, and secondly upskilling our current staff and related workforce.

While the potential use cases for generative AI are coming to light quickly, the future of this technology in the apparel and luxury industries is still being stitched together. But experimenting with new tools today means opening infinite possibilities tomorrow.

DDMTOWN has been very active in researching the current AI players and these are:

■ StyleSage is an AI technology company that provides fashion trend analysis and market insights to retailers, brands, and manufacturers. The company uses AI and machine learning algorithms to analyze fashion trends, consumer preferences, and product performance to help businesses make informed decisions, and its competitors such as Edited, Stylitics, Upstream, CommecelQ.

■ True Fit is an AI technology company that provides personalized fit and style recommendations to customers. The company uses machine learning algorithms to analyze customers' shopping behavior, product preferences, and body measurements to suggest the best-fitting items for them.

■ Furthermore, we are looking at start-up space, such as Bodify, an Overland Park, Kansas-based startup dedicated to helping solve the fit issue. Fit for Everybody, a startup based in Princeton, New Jersey, provides shoppers with a video that shows them exactly where to measure themselves. Styleriser, is a B2B German company that makes software that employs AI in image consulting. Customers upload a picture to the retailer’s online store and a virtual stylist analyzes the photo. It recommends the best colors for the person’s skin tones and gets specific (wear cream instead of white, or charcoal grey instead of black).

While still nascent, generative AI has the potential to help fashion businesses become more productive, get to market faster, and serve customers better. Thus far, the DDMTOWN team will put in the “best effort” to explore the new technology and deploy it.

DDMTOWN is a new platform that prioritizes 4 major values of Metaverse, NFT, both Live and E-Commerce, and the social consideration of DDM's landmark commercial value, therefore we will ensure that Generative AI technology and related services are fully exploited and deployed in the future.