太湖雪:数据赋能丝绸国潮 传统产业焕新增长动能

Core Insights - Suzhou Taihu Snow Silk Co., Ltd. is leveraging data to revitalize its century-old silk patterns and create new national trend products, exemplifying digital transformation in traditional manufacturing [1][2][3] Group 1: Company Transformation - Taihu Snow faced common challenges in the traditional silk industry, including an aging customer base and severe product homogenization [1] - The company has shifted its focus to cultural data resources, acquiring over 20 sets of century-old pattern data from the Suzhou Silk Museum, which includes structured data on color parameters, pattern structures, and cultural meanings [1][2] - The introduction of data has revitalized the design process, leading to the creation of nearly 10 new national trend products each month, with the proportion of young customers increasing from less than 20% to over 45% [2] Group 2: Data Integration and Market Response - Taihu Snow's approach emphasizes the integration of cultural and consumer data, distinguishing it from other industries that focus on technical data needs [2] - The recent data industry supply and demand conference facilitated 90 data transactions totaling over 900 million yuan, highlighting the willingness of companies to invest in quality data for more precise production and faster market response [2][3] - The company plans to build a data closed loop encompassing consumer profiling, product development, and flexible production, utilizing user purchase behavior data to optimize inventory and guide fabric procurement [3] Group 3: Future Directions and National Strategy - Taihu Snow's digital transformation aligns with national data strategies, as the government aims to accelerate the establishment of data property rights and enhance the supply of innovative application scenarios in the digital economy [3] - The company aims to continue developing its silk cultural data assets and explore collaborations with cultural tourism and creative industries, transforming traditional silk from a "daily necessity" into a data-driven consumer product that embodies cultural value [3]