##顺丰科技：AI和大模型赋能物流，打造智慧供应链生态
**InfoQ 2024年8月21日** – 作为中国领先的物流企业，顺丰近年来积极拥抱数字化转型，并取得了显著成果。顺丰集团CIO&顺丰科技CEO耿艳坤和顺丰科技AIoT领域副总裁宋翔近日接受InfoQ采访，分享了顺丰在AI和大模型应用方面的经验和见解。
耿艳坤表示，顺丰科技致力于将数字化信息记录系统转变为生产系统，以提升生产力。例如，通过数字化小哥系统和丰智云算法模型，优化快递员的区域分配，有效应对波峰波谷、建量变化和劳动强度问题。此外，顺丰科技还建设了数据中台和基于数据中台的质控模型，通过数据分析和挖掘，找到整个网络每个环节的改善点，从而降低运营成本。
宋翔则强调了垂域大模型在物流场景中的重要性。他认为，物流行业链路长、场景复杂，需要针对不同场景开发专门的模型。顺丰科技正在积极探索垂域大模型，并计划为每一位前线员工配备一个AI业务助手，以提升工作效率和服务质量。
顺丰科技的数智化转型不仅体现在内部运营，也体现在对客户的服务上。过去，顺丰科技在服务供应链客户时积累了大量的数据分析、根因诊断和改善措施，这些经验如今都被转化为Agent，由大模型来调配，为客户提供更精准、更高效的解决方案。
耿艳坤表示，顺丰科技致力于建设智慧供应链的生态体系，不仅解决顺丰自身的供应链问题，也解决客户的问题。他强调，科技投入不仅是成本，更是创造价值的工具。顺丰科技的规划不仅着眼于眼前的问题，更着眼于未来，积极布局大模型、数字孪生和低空经济等领域，为未来的发展做好准备。
顺丰科技的成功案例表明，AI和大模型在物流行业有着巨大的应用潜力，能够有效提升效率、降低成本，并为客户提供更优质的服务。未来，随着技术的不断发展，AI和大模型将在物流行业扮演越来越重要的角色，推动行业向更高效、更智能的方向发展。
英语如下：
##SF Express’ AI Large Model: A New Breakthrough in Logistics Scenarios
**Keywords:** SF Express, AI, Logistics
**Content:**
## SF Technology: AI and Large Models Empower Logistics, Building a Smart Supply Chain Ecosystem
**InfoQ, August 21, 2024** – Asa leading logistics company in China, SF Express has actively embraced digital transformation in recent years and achieved remarkable results. Geng Yankun, CIO of SF Group and CEOof SF Technology, and Song Xiang, Vice President of AIoT at SF Technology, recently shared their insights and experiences on AI and large model applications with InfoQ.
Geng Yankun stated that SF Technology is committed to transforming digitalinformation recording systems into production systems to enhance productivity. For example, through the digital courier system and Fengzhiyun algorithm model, the company optimizes courier area allocation, effectively addressing peak and trough periods, volume fluctuations, and labor intensity issues.Additionally, SF Technology has built a data platform and quality control models based on the platform. Through data analysis and mining, the company identifies improvement points in every link of the entire network, thereby reducing operational costs.
Song Xiang emphasized the importance of vertical large models in logistics scenarios. He believes that the logistics industry has along chain and complex scenarios, requiring the development of specialized models for different scenarios. SF Technology is actively exploring vertical large models and plans to equip every frontline employee with an AI business assistant to enhance work efficiency and service quality.
SF Technology’s digital transformation is not only reflected in internal operations but also in customer service.In the past, SF Technology accumulated a wealth of data analysis, root cause diagnosis, and improvement measures while serving supply chain customers. This experience is now transformed into agents, orchestrated by large models, to provide customers with more accurate and efficient solutions.
Geng Yankun stated that SF Technology is committed to building a smartsupply chain ecosystem, not only addressing SF’s own supply chain issues but also those of its customers. He emphasized that technology investment is not just a cost but a tool for creating value. SF Technology’s plans not only focus on current issues but also on the future, actively deploying large models, digital twins, andlow-altitude economy, preparing for future development.
SF Technology’s success stories demonstrate the immense application potential of AI and large models in the logistics industry. These technologies can effectively enhance efficiency, reduce costs, and provide customers with better services. In the future, as technology continues to evolve, AI and large models willplay an increasingly important role in the logistics industry, driving the sector towards greater efficiency and intelligence.
【来源】https://mp.weixin.qq.com/s/E6THXiHXtW–sVP5J4m39w
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