图为在西藏日喀则市定日县珠峰大本营拍摄的珠峰夕照。 新华社记者 丁 汀摄 图为江苏省常熟市波司登智慧物流中心的智能搬运机器 人。 受访者供图 2025年4月15日，山东正凯新材料股份有限公司的工人在 智能化生产线上加工高端纱线。 孙中喆摄（人民图片） 图为两名参展商在福建省泉州市晋江国际会展中心的安踏 展位上了解"安踏风暴甲"防暴雨级冲锋衣。 新华社记者 魏培全摄 "2025年5月25日6时29分登顶珠峰，并于当天夜里12时30分返回珠峰大本营，一切都好！"5月26日凌 晨，国家一级登山运动员、甘肃高台青年李生涛更新了自己的朋友圈，宣布他从北坡登顶珠峰的消息。 AI虚拟试衣。在淘宝等多个电商平台，进入商品页面，点击试衣按钮，就能线上"试穿"了解服装的剪裁 和效果。AI试衣技术与电商的合作，成为时下潮流。 "通过企业的优势借助大数据和客群数据，结合客户的风格，进行差异化的设计，成为当下服装设计的 新链路。"重庆服装设计师刘卓成说，他们通过大数据收集，再结合不同国家和地区的客户情况，来发 现流行款式、进行个性化设计，并通过3D的方式展现，而不是传统的打板打样、等待客人确认的方 式，大大提高了效率。 早在2023年 ...

Core Viewpoint - Bosideng showcased its digital transformation in the fashion industry through an innovative AI fashion show at the 2025 China Brand Night, highlighting the integration of technology and fashion [1][2]. Group 1: Digital Transformation and AI Integration - Bosideng's AI model "BSD.AI Aesthetic Brain" demonstrated the complete process of creating a down jacket, from demand generation to design and rendering [2]. - The company has established a comprehensive clothing database by integrating decades of design and user research data with global fashion trends [5]. - The introduction of AI technology has significantly improved design efficiency, reducing sample development time from 100 days to 27 days [5]. Group 2: Product Innovation and Market Response - Bosideng launched various product lines, including the Summit Series and Extreme Cold Series, to meet diverse consumer needs while enhancing product value through technology [5]. - The Extreme Cold Down Jacket features a groundbreaking dynamic cold protection technology, achieving a milestone in the field of scientific research equipment [5]. Group 3: Sustainability and ESG Strategy - Bosideng is accelerating its green and low-carbon transformation, aiming for net-zero emissions in operational aspects by 2038 [6]. - The company has developed an intelligent manufacturing system, GiMS, utilizing digital technologies to enhance production efficiency and reduce carbon footprints [6]. - Bosideng's national-level intelligent manufacturing demonstration factory has achieved 100% coverage of energy consumption monitoring systems, continuously optimizing key performance indicators [6].