Core Insights - The integration of industrial internet platforms is transforming traditional industries by enhancing efficiency and enabling data-driven decision-making [1][2][3][4] - The "14th Five-Year Plan" emphasizes the importance of advancing the productive service industry through digitalization and intelligent upgrades [1][3] - Companies are leveraging AI and digital tools to streamline processes, reduce production cycles, and improve overall productivity [4][5][6] Group 1: Industrial Internet and Digital Transformation - Industrial internet platforms, such as the one developed by Kaos, are key enablers for the deep integration of modern service industries and advanced manufacturing [3] - The application of AI in traditional sectors, like oil extraction, has led to a 70% increase in equipment diagnostic efficiency and a significant reduction in maintenance cycles [2][4] - The shift from experience-based to data-driven operations is reshaping the roles of workers, turning them into decision-makers rather than mere operators [2][4] Group 2: AI and Production Efficiency - AI applications in the fashion industry, such as Fashion Mind, have drastically reduced design time from one month to mere seconds, enhancing overall workflow efficiency [4][5] - The use of AI in garment design has resulted in a 60% reduction in production costs and a ninefold increase in design efficiency for collaborating brands [5] - The integration of AI and automation in the textile industry is expected to drive a complete overhaul of the production chain, enhancing efficiency from design to manufacturing [5][6] Group 3: Flexible Manufacturing and Supply Chain Solutions - Companies like Yunhan Xincheng are addressing the challenges faced by small and medium-sized manufacturers by providing flexible manufacturing solutions that adapt to small batch orders [6][7] - The implementation of data-driven systems has transformed operations, allowing for proactive resource management and improved delivery times by at least 50% for clients [6][7] - The focus on digital supply chain services and collaborative manufacturing models is set to continue, with companies investing in AI and big data to enhance service capabilities [7]

一直以来，致景科技围绕纺织服装全产业链数智化变革，依托于AI等前沿技术支撑服装供应链产销协 同与敏捷柔性的全链条升级。基于致景服装AI大模型，致景科技推出强大的服装创意支持工具Fashion Mind，助力服装企业创新高效开款，通过花型生成、智能匹配面料、模特定制、局部改款、场景适配 等功能，显著降低设计门槛，提升服装设计开款、上新及营销全流程效率，有效节省人力及上新成本， 重构服装全链路效能体系，助力行业实现柔性定制与按需生产。 未来，致景科技将继续与国家战略、区域发展同频，积极响应国家"加速推动人工智能和制造业深度融 合"的号召，持续探索纺织服装AI技术的创新与应用赋能，在"科技纺织美好未来"的使命中，助力中国 纺织服装产业生态转型升级及价值跃升。 在圆桌对话环节，致景科技联合创始人兼高级副总裁李亚平围绕"AI赋能纺织服装产业升级新路径"的主 题，与参会嘉宾展开深入探讨。李亚平认为，未来AIGC在行业中的应用将朝着"更低门槛、更便捷、去 专业化"的方向演进，致景科技将持续构建"专业数据积累+算法创新迭代+AI人才培育"三大底层能力， 将人工智能的技术优势转化为数智赋能纺织服装的产业优势。 7月15日，20 ...