Core Insights - Gaode Map launched the world's first consumer recommendation list based on real user behavior data, called the "Street Scan List," which aims to reduce the influence of fake reviews and rankings [1][4] - The list utilizes extensive travel data, including navigation visits and repurchase rates, leading to an average traffic increase of 187% for featured small shops in its first week [1][6] - Gaode's CEO emphasized that the "Street Scan List" will never be commercialized, focusing instead on building a trustworthy credit system to enhance evaluation credibility [1][4] Group 1: Alibaba's Strategy - Alibaba's approach reflects a focus on long-term ecological value, with the "Street Scan List" designed to accumulate credit assets rather than immediate monetization [3] - The company is implementing a multi-channel strategy, with Gaode focusing on trust-building while Taobao and Ele.me expand service scenarios [3][6] - This strategy aims to create a seamless experience from discovery to transaction, integrating payment processes through Alipay [3] Group 2: Value Chain Reconstruction - The "Street Scan List" differentiates itself through data depth, with 120 million daily service searches and 1.5 billion kilometers of navigation providing unique insights [4] - The ranking algorithm prioritizes long-term metrics like repurchase rates, reducing merchants' reliance on marketing budgets [6] - Consumers are shifting from passive reception of recommendations to making autonomous decisions based on behavior data, with 75% of consumers finding navigation behavior more reliable than star ratings [6] Group 3: Opportunities for Entrepreneurs - The open collaboration within Alibaba's ecosystem presents opportunities for entrepreneurs in three areas: data service optimization, vertical market supply, and innovative offline operations [7] - Entrepreneurs are encouraged to move away from subsidy wars and focus on value competition, aligning their business models with the evaluation logic of the "Street Scan List" [7] - The integration of data and scenarios is expected to reshape user habits, marking a shift in competition towards ecological efficiency and credit value [7]