虚拟试妆

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人工智能拓展服务消费新场景
Jing Ji Ri Bao· 2025-09-12 00:09
日前,国务院印发了《关于深入实施"人工智能+"行动的意见》,将"人工智能+"消费提质作为一项 重点行动进行部署,明确多项举措拓展服务消费新场景。 近年来,服务消费作用愈加凸显。根据国家统计局发布的数据,2024年我国服务业增加值占国内生 产总值比重为56.7%,对国民经济增长的贡献率达56.2%。然而,服务消费领域正面临优质服务供给不 均、个性化需求难以满足、时空限制难以突破、服务体验参差不齐等深层次约束。凭借超强数据处理、 智能模式识别、精准预测分析和自然交互能力,人工智能为破解难题提供了一把钥匙。 人工智能赋能服务消费,体现在多个维度。AI基于自然语言处理、计算机视觉和深度学习算法, 能够提供高度拟人化、精准化的交互服务,催生消费新意愿。比如,天猫、京东等平台利用虚拟试妆、 虚拟试衣等技术,让线上购物体验无限接近线下,创造了"所见即所得"的交互式购物新场景。 AI还创造出过去无法想象的服务品类,开辟消费新领域。比如,在文旅消费中,某些博物院通过 AI导游、VR虚拟漫游等技术,打造沉浸式文旅体验项目,创造了文化体验消费新增长点。AI还通过优 化供应链、预测消费趋势、精准营销、动态定价等,显著降低了提供服务的 ...
中国零售消费行业生成式AI及数据应用研究报告
3 6 Ke· 2025-08-20 01:37
Core Insights - The retail industry is transitioning from rapid growth to stock competition, necessitating a digital transformation of "people, goods, and scenarios" to enhance operational efficiency and consumer engagement [1][2] - The integration of generative AI and data provides a comprehensive solution for retail companies, enabling them to optimize user operations, internal decision-making, and global expansion [1][52] Industry Growth Dynamics and Trends - Retail consumption is shifting from high-speed growth to stock competition, with a focus on digital reconstruction of consumer touchpoints to match supply and demand accurately [2] - Companies must leverage digital technologies to enhance sales conversion rates and inventory turnover while reducing operational costs [2] Demand-Side Transformation - Post-pandemic, consumers are more rational, leading companies to shift focus from traffic-driven strategies to membership economies [4] - Businesses need to create detailed user profiles and utilize digital tools to effectively target high-intent consumers, thereby increasing customer lifetime value [4] Supply-Side Transformation - The retail market is projected to reach approximately 49 trillion yuan in 2024, with online sales channels continuing to grow [7] - Retail companies must establish efficient data processing systems to support digital integration and leverage AI for precise customer acquisition and operational efficiency [7] Sector-Specific Insights: Beauty Industry - Domestic beauty brands have rapidly increased market share from 43.7% in 2022 to 55.7% in 2024, utilizing KOL evaluations and UGC content to establish a marketing loop [10] - Chinese beauty brands are expanding into Southeast Asia, the Middle East, and Europe, enhancing brand presence through local partnerships and offline stores [10] Sector-Specific Insights: Footwear and Apparel Industry - The footwear and apparel market is experiencing intense competition, requiring companies to develop strong product R&D capabilities and brand recognition [13] - Leading firms are focusing on consumer insights to create differentiated products and using content marketing to enhance brand loyalty [13] Sector-Specific Insights: Home Furnishing Industry - The home furnishing market is transitioning to a replacement phase, with companies seeking growth through international expansion [16] - Firms are building omnichannel operations to enhance customer experience and are increasingly focusing on establishing their own brands overseas [16] Generative AI and Data Applications - The synergy between generative AI and data governance is crucial for maximizing AI value, with high-quality data being essential for effective AI implementation [21] - 71% of companies plan to enhance data-driven decision-making, with generative AI primarily applied in marketing and customer service scenarios [25] Cloud Services and AI Integration - Companies are encouraged to choose cloud service providers with comprehensive data and AI capabilities to lower the barriers to generative AI application [28] - Nearly 90% of companies prefer to engage external service providers for AI development, indicating a strong reliance on cloud vendors for diverse model capabilities [30] Marketing and User Journey - Over 90% of retail companies have adopted generative AI in marketing, addressing high costs and fragmented consumer demands [55] - Generative AI significantly reduces content production costs by approximately 30%, enhancing sales conversion rates [58] Internal Decision-Making and Governance - 93% of companies are building knowledge bases across multiple scenarios, with generative AI enhancing data governance and decision-making efficiency [63] - The integration of generative AI allows for real-time data analysis, shifting decision-making from experience-based to data-driven approaches [49] International Market Expansion - 93% of retail companies are pursuing international business, focusing on high-potential markets in Asia-Pacific, Europe, and North America [74] - Generative AI aids in overcoming language and cultural barriers, facilitating localized marketing and efficient customer service [75]