Core Viewpoint - The article discusses how a Chinese startup, Qingdao Vector Spiral, is leveraging artificial intelligence (AI) to transform the traditional garment manufacturing industry, addressing communication issues across the entire supply chain and aiming to enhance productivity through AI integration [5][10]. Group 1: Industry Challenges and Opportunities - The garment industry is characterized by fragmentation, with many small workshops and a lack of structured data, making it difficult to implement digital transformation effectively [7][19]. - Traditional 3D technology in garment design is costly and lacks the creative and generative capabilities that AI offers, which can lead to more efficient and innovative design processes [8][20]. - The startup has developed the largest database in the garment industry and holds the only vertical model registration for the sector, indicating a significant competitive advantage [7][10]. Group 2: AI Implementation and Data Strategy - The company faced challenges in data collection due to the lack of structured data in the industry, necessitating manual data gathering and cleaning processes to create a comprehensive dataset for AI training [11][23]. - By establishing a "four-in-one" data structure that links fabric, design, production, and final product images, the company aims to overcome previous digital transformation failures [11][12]. - The total data volume has exceeded 200 million raw image data points, showcasing the scale of their data engineering efforts [24]. Group 3: Market Entry and Growth Strategy - The company initially targeted the Japanese market for its AI applications due to less competition and higher data quality, successfully acquiring hundreds of clients [30][31]. - Following success in Japan, the company is expanding into the Chinese market, focusing on production enterprises and adapting to complex local demands [32][36]. - The company has established a strong market presence, claiming to have the highest market share among large garment production groups in China [32]. Group 4: Future Developments and Business Model - The company plans to evolve its business model from SaaS to a "technology middle platform" that can standardize non-standard demands into technical components for faster delivery [38]. - Future offerings include "digital labor" that aims to replace traditional roles with AI-driven solutions, thereby optimizing labor costs in the garment industry [39][40]. - The company anticipates significant revenue growth, projecting a threefold increase annually based on enhanced technology capabilities and market expansion [43][44].