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Ti:2025年物流技术趋势报告(英文版)(23页).pdf

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1、 TECHNOLOGY TRENDS 2025 By Ken Lyon&Laura Serban,Ti Technology Trends 2025 Transport Intelligence 2025 January 2025 TECHNOLOGY TRENDS 2025 INTRODUCTION This is our annual paper outlining what we believe to be the leading technology trends for the coming year.Over recent years we have mentioned a ran

2、ge of technologies that have been significant enough to merit inclusion because of their impact on the logistics and supply chain management landscape and often beyond.Artificial Intelligence(AI)is different,like the arrival of the Internet and the World Wide Web some 30 years ago,it will impact eve

3、ry aspect of society and commerce.Last year we focused primarily on AI,and because we think that the impact this will have on the sector is only just beginning,we have decided to continue this focus and update last years report,augmenting it with additional material where relevant.Generative AI(GenA

4、I)and Artificial General Intelligence(AGI)differ in scope and capabilities.GenAI is a specialised form of AI designed to generate content such as text,images,and code based on patterns in training data,excelling in specific,predefined tasks but lacking deep reasoning and adaptability.In contrast,AGI

5、 aims to achieve human-like cognitive abilities,enabling it to understand,learn,and apply knowledge across diverse tasks autonomously and flexibly.While GenAI is actively used in industries today,AGI remains theoretical and under development,with the potential to revolutionise decision-making and pr

6、oblem-solving across all domains.The key distinction lies in GenAIs narrow focus and dependence on human guidance,whereas AGI aspires to generalise intelligence and operate independently across varied contexts.In Dec 2023:The Wall Street Journal stated:“Enterprises worldwide will have spent around$1

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1. **AI主导技术趋势**:2025年AI(尤其是生成式AI)将深刻影响物流与供应链,其应用领域包括AI智能体、预测分析、流程自动化、智能仓储机器人等。 2. **市场规模与增长**:2024年全球AI支出达2820亿美元,预计2028年将达6320亿美元,年复合增长率29%;金融、软件、零售行业为支出前三。 3. **核心应用场景**: - **AI智能体(Copilots)**:优化路线、仓储管理、预测维护,提升效率与决策准确性(如马士基与Captain AI合作)。 - **自动化流程**:AI处理合同、发票等文档,减少75%手动时间(如C.H. Robinson)。 - **智能仓储**:机器人(如Dexterity、Mytra)实现分拣、搬运自动化,提升20%效率。 4. **挑战与关键因素**:数据可信度、网络安全、人才技能(60%高管计划2026年前部署AI)。
AI如何改变物流? 机器人仓储优势? 数字孪生应用场景?
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