Core Viewpoint - The future of e-commerce competition will be a comprehensive contest of AI capabilities, data quality, and ethical governance, with early adopters of technology likely to gain a competitive edge in creating a more efficient and humanized industry [1][6]. Group 1: AI Integration in E-commerce - Taobao is testing a new AI search feature called "AI Universal Search," which allows users to ask questions in natural language and receive comprehensive answer reports that include text, products, and multimedia [2]. - The core logic of e-commerce is shifting from efficient traffic distribution to the intelligence of AI models, emphasizing the importance of understanding user preferences and providing personalized solutions [2][3]. - E-commerce is evolving from a simple online retail channel to a more advanced "intelligent solution service," leveraging AI to uncover both explicit and latent consumer needs [3][4]. Group 2: Impact on Supply Chain and Business Models - AI's integration will optimize the entire supply chain from demand to production, enabling rapid response to market needs, as demonstrated by companies like Shein with their "small batch quick response" model [4]. - The transformation driven by AI will fundamentally change the rules for e-commerce merchants, shifting from a capital-driven model to a value-driven one, where AI acts as a personal shopper for consumers [5]. Group 3: Challenges and Future Outlook - Despite the advancements, challenges such as data privacy, algorithmic bias, and the impact of technology costs on small businesses remain unresolved, which will influence the sustainability of AI in e-commerce [6]. - The next decade will see e-commerce competition centered around AI capabilities, data quality, and ethical governance, with those embracing technology likely to lead the industry towards a more efficient and human-centric future [1][6].