Core Insights - The conference highlighted the integration of AI, data, and the MCP (Multi-Channel Protocol) in redefining logistics APIs, showcasing the launch of China's first intelligent logistics network map and the MCP Server by Kuaidi100 [1][17][20] - The successful application of AI in logistics is contingent upon high-quality data, as emphasized by industry statistics indicating that 70% of AI projects fail due to poor data quality [2][5] Group 1: AI and Data Integration - Kuaidi100's intelligent logistics network map integrates over 3,000 logistics companies, covering 4,000 transfer centers, 9,800 transport routes, and 240,000 delivery points, with an annual average of 1 billion shipments [3][5] - The formula for successful AI applications is defined as model capability multiplied by data and business scenarios, guiding both technological innovation and traditional business transformation [2][3] Group 2: MCP Server and API Economy - The MCP Server simplifies the integration of logistics APIs for developers, allowing for efficient and secure access to external data sources without deep coding knowledge [6][7] - Kuaidi100's MCP Server has been integrated with major AI platforms, enhancing the discoverability and usability of its logistics services [6][8] Group 3: Intelligent Time Estimation - The "intelligent time estimation" feature of the Kuaidi100 API allows for minute-level predictions and hour-level certainty regarding delivery times, enhancing customer experience and operational efficiency [9][10] - This feature supports various scenarios, including pre-shipment and in-transit estimations, catering to different customer needs and reducing anxiety related to delivery times [10][12] Group 4: Industry Applications and Future Outlook - The intelligent time estimation capability is applicable across various sectors, including e-commerce, healthcare, and O2O services, transforming logistics from reactive to proactive management [12][14][16] - Kuaidi100 aims to lead the digital and intelligent transformation of the logistics industry over the next fifteen years, building on its past achievements in digitalization [18][20]