##顺丰科技：AI和大模型赋能物流，重塑行业未来
**InfoQ 2024年8月21日讯** 物流行业作为传统实体行业，其链路长、场景复杂，一直以来都面临着效率提升和成本控制的难题。近年来，随着人工智能、大模型等新兴技术的应用，物流行业正在经历着一场前所未有的变革。顺丰作为物流行业的领军企业，在数智化转型方面走在前列，并取得了显著成果。
近日，InfoQ 团队采访了顺丰集团 CIO& 顺丰科技 CEO 耿艳坤和顺丰科技 AIoT领域副总裁宋翔，深入了解了顺丰如何利用 AI 和大模型技术赋能物流场景，以及其背后的战略思考。
**AI赋能，提升效率，降低成本**
耿艳坤表示，顺丰科技致力于将数字化的信息记录系统转变为生产系统。例如，通过数字化小哥系统和丰智云算法模型，根据时间、空间和小哥的能力特征，进行区域分配和管理，有效应对波峰波谷问题，提高小哥工作效率，降低人工管理成本。
在车队运输方面，顺丰科技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，了解整个网络每个环节的改善点，优化资源配置，提高运输效率，降低运营成本。
**大模型助力，构建智慧供应链生态**
宋翔指出，顺丰科技正在积极探索垂域大模型的应用，为每一位前线员工配备一个 AI 业务助手。通过大模型，可以实现自动化的数据分析、根因诊断和改善措施，提升运营效率和决策水平。
此外，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。通过将过去服务供应链客户时积累的数据分析、根因诊断和改善措施转化为 Agent，由大模型来调配，可以为客户提供更智能、更便捷的供应链管理解决方案。
**科技投入，长远布局，打造行业未来**
顺丰科技的数智化转型不仅着眼于解决眼前的效率和成本问题，更着眼于长远发展。耿艳坤强调，科技规划需要基于企业的战略规划和经营要求，既要解决眼前问题，也要布局长期问题，例如无人机等未来技术。
顺丰科技的数智化转型实践表明，AI和大模型技术在物流行业拥有巨大的应用潜力，可以有效提升效率、降低成本，重塑行业未来。未来，顺丰科技将继续探索和应用新技术，为客户提供更优质的服务，引领物流行业数智化发展。
英语如下：
##SF Express Leverages AI to Power Logistics: How Large Language Models Are Transforming Delivery
**Keywords:** SF Express, AI, Logistics
**News Content:**
## SF Technology: AI and Large Language Models Empower Logistics, Reshaping the Future of the Industry
**InfoQ, August 21, 2024** – The logistics industry, a traditional brick-and-mortar sector, has long faced challenges in improving efficiency and controlling costs due to its lengthy supplychains and complex scenarios. In recent years, the application of emerging technologies such as artificial intelligence and large language models has brought about an unprecedented transformation in the industry. SF Express, a leading logistics company, has been at the forefront of digital transformation, achieving significant results.
Recently, the InfoQ team interviewed Geng Yankun, CIO of SF Express Group and CEO of SF Technology, and Song Xiang, Vice President of AIoT at SF Technology, to gain insights into how SFExpress leverages AI and large language models to empower logistics scenarios and the strategic thinking behind it.
**AI Empowerment: Enhanced Efficiency and Reduced Costs**
Geng Yankun stated that SF Technology is committed to transforming digitized information recording systems into production systems. For example, through the digitized courier system and Fengzhiyun algorithmmodel, regional allocation and management are conducted based on time, space, and courier capabilities, effectively addressing peak and trough issues, improving courier efficiency, and reducing labor management costs.
In terms of fleet transportation, SF Technology has built a data platform and quality control models based on the data platform. Through data analysis and mining, they identify improvement points in every link of the entire network, optimize resource allocation, improve transportation efficiency, and reduce operating costs.
**Large Language Models Facilitate the Construction of a Smart Supply Chain Ecosystem**
Song Xiang pointed out that SF Technology is actively exploring the application of vertical large language models, equipping each frontlineemployee with an AI business assistant. Through large language models, automated data analysis, root cause diagnosis, and improvement measures can be achieved, enhancing operational efficiency and decision-making levels.
Furthermore, SF Technology is committed to building a smart supply chain ecosystem, not only addressing SF Express’s own supply chain issues but alsothose of its customers. By transforming data analysis, root cause diagnosis, and improvement measures accumulated from serving supply chain customers into agents, which are then allocated by large language models, they can provide customers with more intelligent and convenient supply chain management solutions.
**Technology Investment, Long-Term Layout, Shaping the Future of theIndustry**
SF Technology’s digital transformation not only focuses on addressing immediate efficiency and cost issues but also on long-term development. Geng Yankun emphasized that technology planning needs to be based on the company’s strategic planning and business requirements, addressing both immediate problems and laying out long-term issues, such as futuretechnologies like drones.
The digital transformation practices of SF Technology demonstrate the immense application potential of AI and large language models in the logistics industry. These technologies can effectively enhance efficiency, reduce costs, and reshape the future of the industry. In the future, SF Technology will continue to explore and apply new technologies to provide customers withbetter services and lead the digital development of the logistics industry.
【来源】https://mp.weixin.qq.com/s/E6THXiHXtW–sVP5J4m39w
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