Core Insights - The summit focused on the integration of data elements, AI technology implementation, and the international expansion of Chinese brands [1] - The presentation highlighted the use of generative AI and customer lifetime value (CLV) to enhance private domain customer management [1][10] Group 1: Current Challenges in Private Domain Management - Companies face significant gaps in private domain management, particularly in customer experience enhancement and data asset value realization [3] - Leading firms utilize CLV as a core metric, while many companies still rely on overall sales figures without a quantifiable customer value system [4][5] - There is a disparity in customer resource integration, with advanced companies establishing operational platforms that unify resources, unlike others that suffer from fragmented access [4] Group 2: Data Asset Utilization - Benchmark institutions dynamically update over 2000 customer tags and generate most strategies through AI, while typical firms maintain static tags and rely on manual experience [5] - Advanced practices can segment customer groups into 24 categories and customize over 100 strategies, whereas less effective operations only differentiate based on sales, leading to low marketing response rates [5] Group 3: Framework for AIGC and CLV Integration - The "InsightAI platform" aims to create a smart closed-loop from insights to execution, integrating static and dynamic business data with customer experience data [6][7] - The platform employs a dual-dimensional data model that combines business and customer data, facilitating the generation of precise strategies through the integration of traditional big data and AIGC [7] Group 4: Impact on Business Efficiency - The AI-driven approach allows business departments to shift from designing unverifiable strategies to evaluating and validating AI-generated strategies, significantly improving efficiency and effectiveness [8] - The platform supports local deployment and open-source integration, ensuring robust computational support for data processing and strategy generation [8]