3 6 Ke·2025-12-12 03:26Core Viewpoint - The emergence of AI-driven shopping assistants is transforming the e-commerce landscape, allowing users to compare prices and make purchases more efficiently, potentially disrupting traditional e-commerce platforms [2][5][20]. Group 1: AI Shopping Assistants - Companies like Doubao have introduced AI shopping assistants that can automatically compare prices across multiple platforms and facilitate purchases with minimal user input [2][4]. - OpenAI has partnered with Walmart to integrate shopping capabilities into ChatGPT, allowing users to create shopping lists based on conversational input [4][5]. - The AI shopping assistant from Doubao operates at a system level, enabling it to interact with various apps without needing platform authorization, which poses challenges for e-commerce platforms [5][11]. Group 2: E-commerce Platforms' Response - E-commerce platforms are developing their own AI assistants to enhance user experience and retain customer engagement, with JD.com announcing significant investments in AI technology [9][11]. - JD.com is set to launch an app called "Jingxi," which will assist users in shopping, dining, and hotel bookings through natural language processing [9][11]. - Taobao has also been enhancing its AI capabilities with features like "AI Universal Search," which provides personalized shopping recommendations based on user preferences [11][17]. Group 3: Future Implications - The competition between AI assistants and e-commerce platforms may lead to a scenario where both coexist, with users having multiple entry points for shopping [18][19]. - AI is expected to evolve beyond simple buying and selling, potentially acting as a mediator between users and platforms, improving the overall shopping experience [20][22]. - Concerns regarding data privacy and transparency in recommendation algorithms will need to be addressed to ensure user trust in AI-driven shopping solutions [23].