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企业培训| 未可知 x 爱依瑞斯:AI赋能新零售,助力家居业务增长
未可知人工智能研究院· 2025-06-28 11:53
Core Viewpoint - AI technology is revolutionizing the home retail industry, fundamentally changing the rules of the game [1]. Group 1: AI Efficiency in Home Retail - Traditional human translation of a 150,000-word book costs 18,000 yuan and takes 20 days, while AI tools can accomplish this in just 5 hours at a negligible cost [4]. - AI solutions for the home industry include generating 3D effect images with Ji Meng AI, creating marketing content with DeepSeek and Feishu, personalized recommendations with Coze, and producing differentiated marketing videos with Jianying AI [4]. Group 2: Practical Application of AI Tools - During a practical session, the instructor demonstrated generating 10 different styles of promotional text for a sofa image, showcasing various themes such as "healing" and "promotional" [4]. - The "subject recognition" technology was highlighted as a solution to common product distortion issues in AI-generated images, ensuring professional display quality [4]. Group 3: Optimizing AI Tool Usage - The key to effectively using AI tools lies in mastering "precise instruction design," with the SMART principle recommended for optimizing commands [6]. - Examples of effective commands include generating promotional text aimed at specific demographics with measurable outcomes, such as increasing click-through rates by 20% [6]. Group 4: Future of Work with AI - Concerns about AI replacing human jobs were addressed with the "carbon-based + silicon-based" collaboration model, emphasizing that human creativity and emotional intelligence remain irreplaceable [6]. - The future of work will involve human-AI collaboration, with those who master AI thinking becoming industry leaders [6]. Group 5: Conclusion and Industry Implications - The course concluded with a quote from NVIDIA CEO Jensen Huang, highlighting that every job will be influenced by AI, leading to the disappearance of some roles and the redefinition of others [7]. - The growth potential in the home industry lies in selecting appropriate tools, identifying practical applications, and establishing effective human-AI collaboration mechanisms [7].