在AI浪潮奔涌的新时代，快递100迎来15周岁生日(6月22日)。为庆祝十五周年，快递100特别推出「重 拾初心 与AI为伍」主题专栏，致敬时代，感恩15年来每位用户、伙伴、同事及家属、股东及社会各界 人士的支持、信赖与托付！AI即爱，快递100将发扬光大爱客户的利他初心，传承金蝶基因、勇做数智 先锋，为世界创造更多美好！ 各位同事、伙伴、朋友们： 今天是个特别的日子，我们迎来了快递100十五周岁生日！感谢所有同事及家属、各界伙伴和朋友们一 路以来的厚爱与支持，感谢大家滋养了"日日新 又日新"的快递100！ 快递100过去的十五年，是中国快递物流数字化的十五年。我们的奋斗得到了市场的广泛认可，连接全 球超过 3000家快递物流公司，服务超过 2.7 亿 C 端用户、150 万 P 端快递员、250万 B 端客户，构 建"1+3"完整产品体系，打通"能力-产品-用户-业务"内生增长逻辑，通过"信息汇聚、服务聚合、管理方 案"解决单个快递物流公司难以解决的供给难题、满足客户无法被单一快递公司满足的整合需求，已成 长为全球快递物流一站式服务平台。 重拾初心，就是提醒我们不要忘记"我们是谁、当初为何出发"。15 年前 ...

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]