ZHI-TECH(SZ:300785)2026-01-20 02:10Summary of Conference Call Records Industry and Company Involved - The focus is on the AI and e-commerce industry, specifically highlighting the collaboration between Alipay, Qianwen APP, and other partners in launching the first AI Commercial ACT in China [1][1]. Core Points and Arguments 1. AI and E-commerce Synergy: The collaboration between Alipay and Qianwen APP marks a significant step in the integration of AI into e-commerce, with the launch of the AI Commercial ACT protocol designed for agent commercial needs. This is expected to enhance cross-terminal, cross-system, and cross-platform applications in the e-commerce sector [1][1]. 2. Rapid Progress of Haina MCPServer: The Haina MCPServer has seen rapid development, with over 40 partners, including major AI model manufacturers. The output volume of Haina MCP increased fivefold from the previous month during the period from November 1 to 20 [2][2]. 3. AI Commercialization Acceleration: The company reported AI-related revenue of 32.29 million yuan for the third quarter of 2025. The consumption of tokens from third-party model APIs increased by 47.19% compared to June, indicating a growing reliance on AI technologies [2][2]. 4. Launch of Independent AI Agents: The company introduced the independent AI shopping assistant app "Zhang Dama" in September 2025, which combines intent analysis and task execution to enhance user decision-making efficiency and consumer experience [2][2]. 5. Development of "Zhishu" AI Insight Platform: In July 2025, the company developed the "Zhishu" AI platform to meet brand marketing needs. This platform evaluates content quality and user sentiment, aiding brands in understanding consumer demands and market dynamics [3][3]. Other Important but Possibly Overlooked Content - The collaboration with major platforms such as Tencent and Alibaba Cloud indicates a strategic move to integrate AI services across various digital ecosystems, enhancing the overall consumer experience [2][2]. - The emphasis on AI's role in improving marketing effectiveness through insights into content, channels, and users suggests a shift towards data-driven decision-making in brand strategies [3][3].