Core Viewpoint - The implementation of AI technology in live commerce regulation is transforming the industry, enhancing compliance and operational efficiency while addressing regulatory challenges. Group 1: AI in Live Commerce Regulation - The "Live Commerce Full Process Smart Supervision System" launched in Shanghai's Changning District has monitored over 2,000 live sessions and identified more than 160 illegal clues within six months of operation [1] - The system utilizes generative large language model technology to conduct real-time monitoring across various platforms such as Douyin, Kuaishou, Taobao, Pinduoduo, and Xiaohongshu [1] - AI technology is becoming a key variable in driving transformation in the live commerce industry, improving efficiency and quality in core processes like product selection, data analysis, and compliance review [2] Group 2: Compliance and Efficiency Enhancements - The "Lingke System" developed by Qianxun Holdings integrates with national enterprise credit systems to enhance compliance checks during product selection, significantly shortening compliance review cycles [3] - AI has improved the efficiency of creating live broadcast scripts from 20-30 minutes to just 3 minutes, achieving nearly a tenfold increase in productivity while ensuring compliance by automatically filtering prohibited content [3] - The "Pengyou Cloud" platform has integrated the DeepSeek model to automate compliance checks across three dimensions: business qualifications, brand authorization, and product information, resulting in over a 30% increase in compliance rates [4] Group 3: Regulatory Framework and Future Developments - The National Market Supervision Administration has proposed a regulatory framework for live commerce, introducing a "blacklist" system and cross-platform constraints to address issues like false marketing and counterfeit goods [4][5] - The new regulations provide clear legal boundaries for innovative business models such as AI-driven live streaming and virtual hosts, promoting sustainable and high-quality development in the industry [5]

Group 1 - The core viewpoint of the articles highlights the advancement of AI technology in enhancing regulatory practices, particularly through the implementation of a "live streaming sales full-process smart supervision system" in Shanghai's Changning District [1][2] - The system has monitored over 2,000 live streaming sessions and identified more than 160 illegal clues within a span of six months, showcasing its effectiveness in real-time monitoring [1] - The system utilizes generative large language model technology to initially assess and flag potentially non-compliant content, which is then reviewed by professional enforcement personnel [1] Group 2 - Shanghai is actively expanding non-site inspection models across various sectors, employing video AI recognition and IoT sensing to upgrade smart regulatory methods and ensure market order [2] - Future plans include integrating the digital command center to extend coverage to more regulatory areas, such as drug supervision, medical device regulation, and product quality oversight [4]