Group 1 - The Chinese cultural tourism industry is undergoing a profound transformation driven by AI technology and consumption upgrades, with domestic travel expenditure expected to reach 3.15 trillion yuan in the first half of 2025, a year-on-year increase of 15.2% [1][31] - The number of domestic travel trips is projected to be 3.285 billion, reflecting a year-on-year growth of 20.6% [1][31] - The shift in consumer demand from "cost-performance ratio" to "emotional value ratio" indicates a growing emphasis on unique experiences and emotional connections during travel [2][11] Group 2 - The "supply-demand intelligence" model proposed by the company aims to address the long-standing mismatch between supply and demand in the cultural tourism sector by leveraging AI technology for collaborative evolution between demand and supply sides [4][12] - This model focuses on creating a closed-loop system for precise demand perception and intelligent supply response, utilizing advanced AI technologies [4][12] - The integration of AI technology is moving towards a platform-based ecosystem, breaking down data silos and enhancing collaboration across the industry [5][13] Group 3 - The transition from "cost-performance ratio" to "emotional value ratio" reflects a deeper consumer desire for meaningful experiences rather than mere sightseeing [2][35] - Tourists are increasingly seeking emotional engagement and personal growth through their travel experiences, which necessitates a shift from standardized offerings to personalized, impactful experiences [2][11] - The industry's pain points include inefficient decision-making and homogenized experiences, which are exacerbated by information overload and a lack of personalized service [38][39] Group 4 - The cultural tourism industry is becoming a strategic pillar of the national economy, with significant growth in both consumer spending and industry revenue [31][28] - The market is experiencing a layered development trend, with traditional attractions maintaining strong profitability while new projects face challenges due to inadequate planning [31][28] - The overall AI application rate in the industry is 53%, with larger enterprises showing higher adoption rates compared to smaller businesses [33][34]