扬子晚报网12月5日讯(记者徐兢)12月5日，第三届长三角电商交易会在苏州国际博览中心开幕。本届交易会以"联众、破局、增长"为主题，聚焦平台融 合、产业联动与数字化转型，集中展现长三角区域电商生态的创新活力。 本届交易会展会规模达1.5万平方米，设置展位超500个，吸引线上线下（300959）近1000家企业商户参展，涵盖食品、家居、美妆、纺织等主流品类。展 会现场推出近100组专业展播团队进行现场直播，线上分会场潮品节也同步启动，汇集超10万款优选商品。 交易会期间将举办多场主题活动，涉及AI电商、跨境合作、平台政策等热点议题。来自1688、抖音、苏宁易购、SHEIN等平台代表及行业专家，围绕数字 化转型、出海战略、消费新趋势等进行深入交流。马来西亚等"一带一路"共建国家的电商平台也参与对接，助力企业拓展国际市场。 聚力打造"苏品苏货"及供应链核心展区 "苏品苏货"吸引近300家江苏本地优质企业参展 该交易会聚力打造"苏品苏货"及供应链核心展区，吸引近300家江苏本地优质企业参展，数十家海内外头部平台全程驻场对接。江苏省内常熟女装、南通 家纺、连云港食品等特色产业带组团参展，展现区域协同发展优势；创新"展览 ...

Group 1: Industry Changes - Aoki Technology Holdings is acquiring 65.83% of Norway's Vitalis for approximately 212 million RMB (30 million NOK), with the deal expected to close in 2026. Post-acquisition, Aoki will gain exclusive distribution rights for Vitalis's high-end dietary supplement brand Noromega in China, which has been a top seller on Tmall International for five consecutive years. Vitalis has committed to a net profit of no less than 22 million RMB in 2025, with a target of at least 35% year-on-year growth in 2027 and 2028 [1] - Jinbo Bio has received a registration certificate for its recombinant collagen injection in the Philippines, marking another international expansion after obtaining a similar certificate in Vietnam. The product is aimed at facial dermal filling for dynamic wrinkles and is classified as a high-risk D class medical device. This expansion aligns with the company's growth strategy and its aim to enter the "collagen+" era [2] - Longfeng Group has submitted a listing application to the Hong Kong Stock Exchange, potentially becoming the first "Hong Kong stock cosmetics store." The group operates 29 stores in Hong Kong and has over 600 suppliers, with revenue projected to grow from 1.094 billion HKD to 2.461 billion HKD from FY2023 to FY2025, reflecting a compound annual growth rate of 50% [3] Group 2: Market Insights - The overall consumer sector is currently in a valuation trough, with opportunities for recovery as the market adjusts. Key areas of focus include personal care and health sectors, particularly in health supplements and women's care, with companies like Aoki Technology and Weiyu Chen being highlighted [4] - The Double 11 shopping festival is expected to see intensified competition, with a focus on strong alpha beauty brands such as Mao Ge Ping and Shangmei Shares [4] - There is a potential turning point for upstream performance, with some upstream companies showing signs of recovery due to improved downstream demand and capacity adjustments. Companies like Qingsong Shares and Jiega Shares are under observation [4] - The AI+ operational model is gaining traction, with Alibaba's launch of the Qianwen AI application expected to deepen its integration into e-commerce, presenting investment opportunities in companies like Yiwang Yichuang and Aoki Technology [4] - The medical aesthetics sector is being closely monitored for new product commercialization, with companies like Ruiri Medical Technology and Jinbo Bio being of particular interest [4] Group 3: Retail Sector Updates - Chow Tai Fook reported a revenue of 38.99 billion HKD for FY26H1, a decrease of 1.1%, while operating profit increased by 0.7% to 6.82 billion HKD [5] - Luk Fook Holdings saw a revenue increase of 25.6% to 6.84 billion HKD for FY26H1, with operating profit rising by 45.4% to 780 million HKD [5] - Alibaba's FY26Q2 revenue reached 247.8 billion HKD, up 4.8%, but net profit dropped by 52.1% to 20.99 billion HKD. The strong performance of Alibaba Cloud and the launch of the C-end AI application are noteworthy [6] - Baozun E-commerce reported a revenue growth of 4.8% to 2.16 billion HKD, but its net loss expanded to 107 million HKD [7] - The Ministry of Industry and Information Technology, along with five other departments, released a plan to enhance the adaptability of consumer goods supply and demand, aiming for significant improvements by 2027 [8]

这样的场景遍布全美。Adobe数据显示，美国零售网站AI驱动访问量暴涨805%，去年尚未普及的AI工具，如 今已成消费主力。全球范围内，AI直接推动142亿美元在线销售，仅美国就贡献30亿美元，占黑五在线销售 额的1/6。这恰是马云当初强调的"AI重构电商"核心——不再是"人找货"的盲目浏览，而是"货找人"的精准匹 配，让购物效率实现质的飞跃。 谁能想到，今年美国黑五的最大赢家，竟是马云2023年末就预言的"AI电商"？当118亿美元线上销售额创下历 史新高，全球142亿AI驱动消费额震撼出炉时，那些曾质疑"AI电商是概念炒作"的声音，彻底被数据击碎—— 这场消费狂欢，正是AI电商从预言照进现实的最好证明。 一、AI当"超级导购"，黑五购物变"一键精准" 旧金山的单亲妈妈劳拉，往年黑五要花3小时在各大平台比价，今年对着亚马逊Rufus输入"5岁儿子圣诞礼 物，预算300美元"，10秒就收到乐高套装+宝可梦卡牌的最优组合，自动叠加满减后省了86美元；纽约上班 族马克靠沃尔玛Sparky发现，心仪的PS5线上比实体店便宜120美元，15分钟就完成下单。 2023年末，马云在阿里内部明确提出"发力AI电商"时，不少 ...

Market Overview - On November 26, the A-share market closed with a total of 76 stocks hitting the daily limit, with 68 stocks after excluding 8 ST stocks, resulting in a limit-up rate of 71.7% [1] Limit-Up Stocks - The highest limit-up stock by order volume was Shida Group (600734) with 620,800 hands, followed by Meiyan Jixiang (600868) with 545,700 hands, Luoping Zinc Electric (002114) with 483,000 hands, and Xinhua Du (002264) with 445,500 hands [2] - In terms of consecutive limit-up days, Shida Group achieved 5 consecutive limit-ups, while Xinhua Du, TeFa Information (000070), and Huanrui Century (000892) had 4 consecutive limit-ups [2] Key Stocks and Their Performance - Xinhua Du closed at 10.79 yuan with a turnover rate of 1.05%, and its limit-up order amount reached 481 million yuan, driven by its e-commerce and cross-border e-commerce concepts [4] - Shida Group closed at 6.15 yuan with a turnover rate of 2.02%, and its limit-up order amount was 382 million yuan, linked to its acquisition plans and IT services [4] - Luoping Zinc Electric closed at 9.72 yuan with a turnover rate of 2.88%, with a limit-up order amount of 469 million yuan, associated with lead-zinc production and state-owned assets [4] Sector Highlights Optical Communication - The optical communication sector saw strong performance with stocks like TeFa Information and Changguang Huaxin showing significant gains. TeFa Information is advancing its hollow fiber products, while Changguang Huaxin has achieved mass production of 100G EML [5] Pharmaceuticals - The pharmaceutical sector also had notable limit-up stocks including Peking University Pharmaceutical (000788) and Jindike, focusing on innovative drug development and clinical trials for vaccines [6][7] Semiconductor - The semiconductor sector featured stocks like Leike Defense and Broadcom Integration, with Leike Defense focusing on embedded storage business and Broadcom Integration developing AI-related IoT chips [8][9] Institutional Activity - Longguo's net buying included Changguang Huaxin with over 200 million yuan, while Dongxin Co. and Yongding Co. were among the top net buying stocks [10][11]

Core Insights - Alibaba's core decision-making team has prioritized the "Qianwen APP" as a strategic project for its C-end AI market, viewing it as a pivotal initiative for the company's future [4][10][12] - The Qianwen APP aims to integrate various AI products and services into a cohesive ecosystem, similar to how Taobao operates within Alibaba's e-commerce framework [4][8][29] - The project has mobilized over 900 engineers from different departments, marking a record for cross-departmental collaboration within Alibaba [5][6][20] Project Development - The Qianwen APP was launched on November 17, 2025, and achieved over 10 million downloads within a week, significantly exceeding initial expectations [8][9] - The project operates in a unique "battlefield" format, allowing for flexible management and rapid iteration based on real-time data and user feedback [7][20][21] - The team has established a "war room" for daily strategy meetings and progress reviews, fostering a high-intensity work environment [19][20] Market Context - Alibaba faces strong competition in the C-end AI market, with established players like Doubao, DeepSeek, and Yuanbao dominating the landscape [9][26] - The AI glasses market is also competitive, with Meta and other brands like Rokid and Xiaomi holding significant market shares [9][26] - The success of Qianwen APP is seen as crucial for Alibaba's potential growth in the AI sector, with internal consensus that success could multiply the company's market opportunities [9][12] Strategic Decisions - The decision to pivot towards the Qianwen APP was influenced by the capabilities of the Qwen3-Max model, which demonstrated strong multi-modal abilities [12][13][16] - Three core principles were established for the Qianwen APP: it should not only serve as a chat tool but also enhance user productivity and integrate into various scenarios [16][17] - The project has redefined the role of Quark, shifting its focus to search and related services while allowing Qianwen to take the lead in C-end AI initiatives [17][18] Future Challenges - The competition for C-end AI market share is intense, with other tech giants like ByteDance, Tencent, Baidu, and Meituan also vying for dominance [26][28] - Alibaba's approach to user acquisition for Qianwen APP is cautious, recognizing the need for a strategic and measured investment in marketing compared to previous initiatives [27][28] - The dual challenge of leveraging AI to drive e-commerce traffic while simultaneously restructuring existing business models presents a significant hurdle for Alibaba [29][31]

Core Insights - Worth Buying Technology held an AI progress sharing conference on November 26, showcasing its latest AI developments and the new "Haina" ACP (Agent Commercial Protocol) [1] - The company aims to enhance consumer service capabilities in the AI ecosystem and has partnered with Weimeng and Alipay to integrate AI payment capabilities [1][4] - The "Haina" platform focuses on creating a seamless transaction process in AI e-commerce, establishing a complete closed loop from capability supply to transaction matching [1][4] Group 1: AI Achievements - In November, the "Haina" MCP Server partner count exceeded 40, with an output volume surpassing 100 million [2] - The AI shopping assistant "Zhang Dama" saw an 8-fold increase in active users and a 24% increase in average retention rate [2] - The core product "What Worth Buying" experienced a 4-fold increase in AIGC reading time compared to the same period last year [2] Group 2: AIGC Integration - AIGC capabilities have evolved from simple content generation to decision empowerment, enhancing content production efficiency and user experience [3] Group 3: "Haina" ACP Development - The "Haina" ACP is designed as a foundational technology standard for "dialogue-based shopping," connecting AI capabilities with commercial value [4] - The collaboration with Weimeng and Alipay aims to create a collaborative transaction closed loop involving AI agents, users, merchants, and payment platforms [4][5] - The "Haina" ACP will first be implemented in the "Zhang Dama" app, facilitating a seamless process from dialogue to payment [5] Group 4: Future Strategy - Worth Buying Technology plans to continue its "comprehensive AI" strategy, exploring new AI+ consumption scenarios, models, and products [5] - The company aims to enhance the efficiency and quality of connections between supply and demand, contributing to a better consumer experience [5]

Core Insights - Worth Buying Technology's CTO Wang Yunfeng announced significant advancements in AI, including over 40 partners for the "Haina" MCP Server and an output volume exceeding 1 billion in November [1] - The AI shopping assistant "Zhang Dama" saw an 8-fold increase in active users and a 24% increase in average retention compared to the previous month [1] - The core product "What Worth Buying" experienced a 4-fold increase in AIGC reading time compared to the same period last year [1] Company Developments - In October, Worth Buying Technology formed a strategic partnership with Weimeng to integrate its consumer data service capabilities with Weimeng's SaaS commercial operating system, aiming to create an AI e-commerce transaction closed loop in China [1] - The company plans to further collaborate with Alipay to explore AI payment services, establishing a collaborative transaction closed loop involving AI agents, users, merchants, and payment platforms [1] Technology and Infrastructure - The ACP (Dialogue Commerce Protocol) is introduced as a foundational technology standard that connects AI capabilities with commercial value, expected to create new opportunities in the AI era [1] - The "Haina" ACP will first be implemented in the "Zhang Dama" App, facilitating a seamless process from dialogue to recommendation, ordering, and payment, thereby creating a verifiable sample of AI e-commerce [1]

Core Insights - The article highlights the transformative impact of AI agents on e-commerce, predicting that by 2030, the GMV of agent-driven e-commerce will reach $385 billion, accounting for 20% of total U.S. e-commerce sales [1][3][7]. Group 1: Market Trends - The narrative around AI is shifting from mere conversation to actionable outcomes, with significant commercial implications as users increasingly make purchases based on AI recommendations [3][4]. - Major tech companies like Alibaba and OpenAI are competing to establish themselves as the primary entry points for consumers, with Alibaba's "Qianwen APP" and OpenAI's shopping search functionality leading the charge [5][6]. Group 2: Market Potential - Morgan Stanley views the rise of agent-driven e-commerce as the beginning of a new era, with a projected GMV of $1.9 billion in a baseline scenario and up to $3.85 billion in an optimistic scenario by 2030 [7][8]. - By 2030, it is estimated that 10% to 20% of U.S. e-commerce transactions will be driven by AI agents [8]. Group 3: User Engagement - Currently, 40-50% of users are engaging in commercial activities through AI platforms, indicating a growing trend towards purchasing behavior [9]. - The adoption rates for general AI platforms like ChatGPT (45%) significantly outpace those of retail-specific AI tools (around 10%), suggesting a shift in consumer preference [12]. Group 4: Investment Opportunities - Major tech companies such as Google, Amazon, and Meta are positioned to benefit from the growth of agent-driven e-commerce, with Morgan Stanley maintaining a positive outlook on their long-term growth potential [4][16]. - Alphabet (GOOGL) has seen 36% of ChatGPT users report making purchases based on AI suggestions, with grocery and household items being the leading categories [17]. - Amazon (AMZN) and Meta Platforms (META) are also rated positively, with target prices set at $315 and $820 respectively, reflecting their strong positions in the evolving market [19].

Core Insights - The company is a leading domestic e-commerce operation service provider established in 2012, focusing on providing professional e-commerce retail services to major brands in the fast-moving consumer goods sector, including beauty, personal care, and health products [1] - The company has initiated an AI e-commerce strategy, aiming to leverage AI technology to enhance operational efficiency and reduce costs, with initial financial improvements already visible [2] Company Overview - The company employs nearly 1,300 staff across major cities in China and operates under a dual strategy of "full-service e-commerce provider + new consumer brand accelerator" [1] - Key brand clients include Procter & Gamble, Shiseido, Amorepacific, Yili Group, and Mao Geping, among nearly a hundred others [1] Industry Dynamics - The e-commerce operation industry has undergone a 3-4 year adjustment period, transitioning towards self-owned brands and AI integration [1] - Alibaba's e-commerce business has refocused on growth as a core strategy, shifting from a "live streaming + low-price strategy" to activating core customer groups and enhancing platform performance [1] AI Strategy and Implementation - The company has launched several AI systems, including cloud-based solutions and intelligent customer service, which are expected to drive a shift from a labor-intensive to a technology-intensive model [2] - The company is part of Alibaba's first batch of AI Agent co-creation projects, indicating a strong partnership and resource sharing within the Alibaba ecosystem [2] Financial Outlook - The company anticipates a significant performance turnaround in 2025, driven by the recovery of the Tmall market and the implementation of AI applications [2] - Profit forecasts for the company are projected at 110 million, 160 million, and 190 million yuan for the years 2025, 2026, and 2027, respectively, with a strong recommendation for investment [2]

Core Insights - Tmall achieved its best growth in four years during this year's Double 11, excluding refunds [4][5] - The strategic focus for Tmall in 2025 is on growth, emphasizing investment in consumers, quality brands, and new shopping scenarios [4][6] Growth Metrics - Nearly 600 brands achieved over 100 million in sales, with 34,091 Tmall brands doubling their sales year-on-year [4] - 18,048 brands saw growth exceeding three times, while 13,081 brands grew over five times compared to last year [4] - 406 new brands ranked first in trending categories, with 26 achieving over 100 million in sales [4] Consumer Engagement - The number of 88VIP members reached over 53 million, with daily orders from this group increasing by 31% year-on-year during Double 11 [5][11] - Tmall's retail orders from Taobao Flash Sale grew more than two times compared to last year [5] Strategic Adjustments - Tmall's management has shifted its focus from "platform sovereignty" to "ecosystem sovereignty," prioritizing support for quality brands and original merchants [7] - The "扶优策略" (supporting quality strategy) emphasizes the importance of original capabilities and innovation in products and brands [7][9] New Initiatives - Tmall's new membership system launched in August 2023 aims to cultivate a broader consumer base, with over 1 billion users in platinum and above categories [11] - Strategic partnerships, such as with Xiaohongshu, are aimed at enhancing traffic acquisition and integrating various platforms for better consumer engagement [12] Future Directions - Tmall is focusing on AI and instant retail as key growth areas, with significant investments planned for these sectors [13][15] - The integration of AI tools is expected to enhance user experience and operational efficiency for merchants [15] Performance Testing - Double 11 serves as a critical testing ground for Tmall's various strategies and initiatives, providing insights into their effectiveness [13][15]