The annual "Double Eleven" promotion is currently in full swing. The reporter noticed that in the context of deep application of AI, this year's "Double Eleven" has a stronger technological flavor, with e-commerce platforms and large model companies laying out their strategies to promote "dialogue as shopping" as a new trend. While improving conversion efficiency, it is also quietly reshaping the pattern of traffic entry. Faced with questions about how to choose products for children to grow taller and how to buy more cost-effective products on Singles' Day, Ms. Sun did not search for information on her own, but directly sought help from AI. After comparing the data comprehensively, AI provided clear suggestions and practical information such as purchasing channels, discount combinations, and the best ordering time. It's really convenient! "She praised. This year's Singles' Day, more and more consumers like Ms. Sun are using AI to help with shopping decisions. On social media platforms, topics such as "Double Eleven AI helps you find the best purchasing plan" have become popular. Although the big promotion node is a shopping feast, many people still feel exhausted in the face of complex discount rules and pre-sale schedules. The emergence and deep application of AI have brought new possibilities to enhance the shopping experience. E-commerce platforms are also targeting this opportunity and actively laying out AI solutions. Tmall will position itself as the first AI platform to fully implement during the "Double Eleven" shopping festival this year, announcing that AI technology will be fully involved in various aspects of traffic distribution, consumer experience, and e-commerce operations. JD.com released Jingxiaozhi 5.0 on the eve of Singles' Day, with the core goal of improving pre-sales consulting conversion rates. Based on existing data, AI has shown some performance in improving shopping conversion rates and other aspects. For example, according to data from Taotian, since the beginning of this year, Taobao and Tmall have invested in AI production and research, resulting in a 40 fold increase in the platform's computing power; Using AI to re understand and organize 2 billion products, significantly improving the accuracy of search and recommendation, and increasing purchasing efficiency by 25%. As a technology company focused on AI and content driven digital consumer services, it is worth buying technology to lay out early on AI. Wang Yunfeng, CTO of Worth Buying Technology Group, told reporters that from the platform's observation, AI assisted consumer decision-making is entering the popularization stage from the trial stage. Compared to last year, users' trust in AI output results has significantly increased this year. Last year, many users still compared prices with AI and verified them themselves. However, this year, more users have directly accepted AI conclusions, believing that AI can integrate massive amounts of information faster and more objectively. ”Wang Yunfeng further introduced that AI has become the core assistant for consumers to do their shopping homework. Whether it is intelligent price comparison, reputation sorting, or cross platform discount path recommendation, the frequency and conversion rate of AI use have significantly increased. More companies are also laying out "AI+consumption" to seize the entrance to consumption. According to a report by NetEase, many mainstream AI conversation applications in China have recently integrated e-commerce functions, promoting a new model of "conversation as shopping". Among them, the bean curd under ByteDance has been directly embedded in the link of Tiktok Mall. When the user asks for product recommendations, the bean curd will generate a list of goods with price and description of applicable scenarios. Click the text link to jump to Tiktok Mall to complete the purchase. In addition to bean buns, Kimi also supports product link recommendations, but the redirect path needs to go through intermediate pages such as "What is worth buying", and ultimately lead to Taobao or JD platforms, mainly using unofficial store links. Tencent Yuanbao has undergone a strategic adjustment. In August, it piloted the JD jump function, but it was taken offline at the end of September. Currently, it only supports small store products within the WeChat ecosystem. From e-commerce platforms to large-scale model products, seizing the entrance of AI e-commerce has become a new focus of industry competition. However, industry analysis also points out that there is still a lot of room for improvement in the application of AI in the shopping field. Despite the convenience brought by AI diversion, the experience still appears rough. ”Chen Liteng, a life service e-commerce analyst at the NetEase E-commerce Research Center, told reporters that tests have shown that some applications have problems such as recommending products that do not match the user's budget, not displaying discounted prices, and weakening shopping fluency due to complex jump paths. The more crucial challenge is the ecological closure. In the long run, the industry is generally optimistic about the application prospects of AI in shopping scenarios. Wang Yunfeng predicts that in the next 2 to 3 years, users only need to express their shopping needs clearly, and AI agents can automatically complete the entire process of product screening, price comparison, and even ordering and payment, which will mark the comprehensive arrival of the era of intelligent consumption. According to McKinsey's analysis, from an industry perspective, generative AI will generate a value of $2.6 trillion to $4.4 trillion, with the industries that generate the most value being high-tech, retail, and banking. Among them, in the retail and consumer goods industries, generative AI will change the rules of the game and create a value of $400 billion to $660 billion. Chen Liteng stated that AI recommendations can shorten user decision-making paths and improve conversion efficiency. This competition around traffic distribution and user decision-making mindset may reshape the future landscape of the e-commerce industry