Core Viewpoint - The article discusses the integration of AI technologies in e-commerce platforms during the Double Eleven shopping festival, highlighting how AI is transforming the shopping experience through features like intelligent search and personalized recommendations [1]. Group 1: AI Features in E-commerce - Major e-commerce platforms have launched AI shopping features, such as Taobao's "AI Universal Search" and JD's "Jingyan AI Assistant," which enhance the search, comparison, and decision-making processes for consumers [1]. - Taobao's "AI Universal Search" functions similarly to a "Taobao version of DeepSeek," providing detailed travel packing lists and product recommendations based on user queries [2][6]. - The AI can categorize products effectively, distinguishing between different types of down jackets and providing comprehensive details about each option, thus streamlining the shopping process [6][14]. Group 2: User Experience and Limitations - The AI's ability to tailor recommendations based on user preferences is evident, as it can track recent browsing and purchasing habits to enhance the relevance of suggestions [9][10]. - Despite its advantages, the AI still exhibits limitations, such as providing inaccurate pricing information and failing to include purchase links, which can lead to confusion for users [11][14]. - Users are encouraged to maintain their judgment when using AI tools, especially for significant purchases, and to use AI as a reference rather than relying solely on its recommendations [15]. Group 3: Comparison of AI Tools - JD's "Jingyan AI Assistant" offers a more standardized experience with less personalization compared to Taobao, providing specific product recommendations but lacking the conversational feel of a knowledgeable assistant [25][31]. - JD's AI features include price trend analysis and consumer review summaries, which provide more actionable insights than simple star ratings, enhancing the decision-making process for users [31]. - Upcoming features in JD's app, such as "Aigou," aim to improve the user experience by allowing natural language interactions to generate tailored product solutions based on user descriptions [32].