Group 1: Industry Trends - The "2025 High-Quality Consumption Brand TOP 100" initiative aims to boost economic development and consumer confidence by focusing on nine key sectors, including beauty economy, sports and outdoor, food and health, smart consumer electronics, pet economy, experience economy, interest consumption, cross-border e-commerce, and consumer technology [1] - AI technology is reshaping the entire consumer experience and becoming a new tool for cost reduction and efficiency improvement, as evidenced by the success of AI-driven live streaming events [2][4] Group 2: AI in E-commerce - The first live stream featuring a digital avatar of influencer Luo Yonghao attracted over 13 million viewers and generated a GMV of over 55 million yuan, setting a new record for digital avatar live streaming [4][5] - AI tools are now enabling consumers to receive one-click shopping suggestions across multiple platforms, significantly enhancing the e-commerce shopping experience [2][9] - AI-driven virtual fitting and makeup applications are being adopted by platforms like Taobao, allowing users to upload their photos and generate virtual representations for trying on clothes and makeup [5][7] Group 3: AI Shopping Assistants - Major e-commerce platforms have launched AI shopping assistants that can provide product comparisons, gift suggestions, and summarize product reviews, enhancing the shopping experience [10][12] - OpenAI's ChatGPT Search has been upgraded to include shopping recommendations, showcasing a variety of products based on structured data from third-party websites [9] - AI shopping assistants are designed to improve transaction rates on platforms like Taobao and JD.com, although there are concerns about their effectiveness in understanding brand nuances [12] Group 4: AI Customer Service - AI customer service has been in use for over a decade, with platforms like JD.com developing sophisticated systems that can handle a high volume of inquiries, particularly related to government subsidies [13] - Despite the advancements, consumer feedback on AI customer service remains mixed, with many users preferring human interaction for complex issues [14] - A significant portion of consumers believe that a combination of AI and human customer service is the most satisfactory approach, highlighting the need for a balanced service model [14]

Core Viewpoint - DeepSeek is emerging as a new consumption decision-making tool for young consumers, providing personalized recommendations that challenge traditional influencer-led shopping methods [3][5][46]. Group 1: DeepSeek's Functionality and Impact - DeepSeek offers personalized recommendations based on user-specific queries, such as skin type or reading preferences, providing detailed reports that include product features and suitability [4][12]. - The platform is seen as a more comprehensive alternative to traditional live-streaming influencers, as it utilizes a deep thinking model to deliver tailored suggestions [5][6]. - As of February 9, DeepSeek's app has surpassed 110 million downloads, with weekly active users reaching nearly 97 million, indicating its growing popularity among young consumers [9]. Group 2: Comparison with Traditional E-commerce Platforms - Traditional e-commerce platforms like Taobao and JD have attempted to integrate AI for personalized shopping but have not prioritized these features in their main app interfaces, limiting user engagement [7][8][22]. - DeepSeek's recommendations are based on a broader range of sources compared to existing e-commerce AI assistants, which often rely on fewer references, leading to less comprehensive suggestions [29][30]. - Despite the advantages of DeepSeek, traditional influencers still hold a significant role in the market due to their established trust and the ability to provide curated selections backed by professional institutions [19][20]. Group 3: Challenges and Limitations - DeepSeek faces challenges such as "AI hallucination," where the AI may produce inaccurate or biased recommendations based on its training data, necessitating human oversight for quality control [17][18]. - The platform's current model requires users to transition to e-commerce sites for purchases, which contrasts with the seamless shopping experience offered by influencers [20][21]. - E-commerce platforms are cautious about integrating DeepSeek due to concerns over data sensitivity and the potential disruption of existing business models [40][41][42]. Group 4: Future Prospects - The shift towards AI-driven recommendations is seen as a significant trend in e-commerce, with DeepSeek positioned to capture the preferences of younger consumers [46]. - There is a need for e-commerce platforms to adapt and potentially collaborate with AI technologies like DeepSeek to enhance their offerings and maintain competitiveness in the evolving market landscape [47][48].

字母榜 . 让未来不止于大 以下文章来源于字母榜 ，作者薛亚萍 从事产品运营工作的陈鹏，今年26岁，他想要通过阅读提高自己的眼界，便向DeepSeek提问"最应 该读的十本书是什么？"DeepSeek同样给他列出了书单，并且分类附上了理由。陈鹏选择了购入其 中几本书。 这曾是李佳琦和董宇辉们在直播间的工作： 导购。 过去几年，头部主播们通过建立和用户之间的信任，构建了以主播为核心的商品分发机制，将他们认 为最好的、最适合的东西推荐给粉丝朋友们。 但现在这套推荐体系，正在被DeepSeek解构。DeepSeek深度思考模式的长思维链优势，能为用户 提供更全面、精准的优质解答，进而形成一对一的个性化推荐，应用到购物领域，俨然已经成为D选 ——DeepSeek优选。 "D选"的本质是"AI导购"，辅助用户高效进行消费决策，"AI导购"这个场景并不陌生。 早在多年前，一些电商平台就试图借助大模型实现"种草+购物"的交易闭环。 譬如淘宝的AI助手"淘宝问问"早已接入通义千问，功能包含个性化推荐，并生成选购建议。京东的言 犀大模型，也接入消费导购场景，"京东京言"也被明确定位于"专属AI购物助手"。抖音APP的AI搜索 ...