Core Insights - The article emphasizes that the AI shopping experience does not necessarily lead to better or cheaper products, but rather focuses on enhancing consumer satisfaction during the shopping process [2][75]. - The recent Double Eleven shopping festival showcased various new AI features across e-commerce platforms, indicating a shift towards AI-driven shopping assistance [3][4]. AI Shopping Features - Major e-commerce platforms like Taobao, JD, and Douyin have introduced AI functionalities such as price comparison, product search, and personalized shopping lists [3][4]. - A survey revealed that 67% of consumers prefer using AI for price comparisons, while 56% want AI to help them understand products better [6]. AI Comparison Testing - A test was conducted using three AI models (DeepSeek, Doubao, and Tongyi Qianwen) to evaluate their performance in price comparison and product recommendations [7][9]. - The results showed that Tongyi Qianwen and Doubao provided specific product recommendations, while DeepSeek offered a broader range of options without specific suggestions [12][15]. Price Analysis and Recommendations - The article discusses the reasons behind significant price drops during the Double Eleven sales, including brands sacrificing profit for volume and government subsidies [22]. - Recommendations for specific products were provided, such as the Ecovacs T80S and the Roborock P20, highlighting their features and pricing strategies [23][25]. Consumer Understanding and Decision-Making - The article highlights that consumers often struggle to understand product specifications and seek solutions to their specific needs [27][28]. - AI models successfully identified consumer needs and provided tailored recommendations based on household scenarios [30][32]. Shopping Strategy and Execution - A detailed shopping strategy was outlined for purchasing pet supplies, emphasizing the importance of leveraging platform discounts and promotions [43][44]. - The article suggests that AI can enhance the shopping experience by providing comprehensive guides and recommendations, although it still faces challenges in data accuracy and consumer trust [50][56]. Limitations of AI Shopping Assistants - The article points out that AI shopping assistants currently face issues such as data inaccuracies and a lack of consumer trust due to discrepancies in product recommendations [54][59]. - It suggests that while AI can improve efficiency, it may not fully replace the need for human judgment in shopping decisions [74][75].

Core Insights - AI has become an essential tool for consumers during the Double Eleven shopping festival, assisting in decision-making and optimizing shopping strategies [2][10][12] - Major e-commerce platforms have introduced various AI features to enhance the shopping experience, including personalized recommendations and price trend analysis [10][11] Group 1: AI in Consumer Decision-Making - Consumers are utilizing AI to analyze their shopping carts and make cost-effective decisions, such as determining the optimal number of orders and products to purchase [2][4] - Users have reported that AI helps reduce impulsive buying by providing a "time travel" decision-making method, allowing them to consider future needs [2][3] Group 2: E-commerce Platforms and AI Features - Multiple e-commerce platforms have launched AI tools, such as Taobao's "AI Universal Search" and JD's "Jingyan" assistant, which offer comprehensive shopping guides and price trend insights [10][11] - These AI tools are designed to understand user preferences and provide tailored recommendations based on past shopping behavior [11][12] Group 3: User Experience and Satisfaction - A significant portion of young consumers (approximately 70%) recognize the value of AI in shopping, with many expressing satisfaction with the enhanced shopping experience [12] - However, there are concerns regarding the current limitations of AI in understanding user intent, leading to mismatched recommendations and budget plans [12]