如何破解AI落地难题？与16位实战派对谈，把“别人的作业”变成你的路线图！

Core Insights - The article emphasizes the transformative potential of AI in various industries, particularly in retail and supply chain management, showcasing successful case studies and practical applications of AI technology [4][5][6]. Group 1: AI Applications in Retail - Companies like "交个朋友" have utilized AI to create over 60 live-streaming e-commerce matrices, resulting in a doubling of GMV [4]. - "叮咚买菜" employs AI algorithms to manage a combination of 4 million product categories, keeping end-to-end losses at just 1.5% [4]. - "物美" has developed an AI-driven retail model that integrates product selection, replenishment, and clearance, achieving a fivefold increase in sales [4]. Group 2: Challenges and Observations - Many companies are still hesitant and struggling with AI adoption, caught between the fear of being exploited and the risk of falling behind competitors [5]. - The article highlights the need for businesses to engage directly with AI applications in real-world scenarios to gain insights and avoid pitfalls [8]. Group 3: AI Learning and Networking Opportunities - The "AI落地研学营" program offers hands-on learning experiences, allowing participants to observe AI implementations in leading companies and engage in case studies [6][9]. - The program targets decision-makers in retail, digital service providers, and industry observers, providing a platform for networking and sharing insights on AI strategies [9][12]. Group 4: Future Events and Learning Modules - The article outlines a series of upcoming workshops focusing on various aspects of AI in retail, including the impact of AI Agents and the integration of AI in supply chains [13]. - Participants will have access to a repository of over 20 reusable case studies covering various AI applications, ensuring practical knowledge transfer [12].