物流业人工智能研究报告( 英文 45页)

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ARTIFICIAL INTELLIGENCE IN LOGISTICS

Table of Contents

PREFACE ...... 1

1 UNDERSTANDING ARTIFICIAL INTELLIGENCE ............ 3

1.1 Origin & Definition of AI ..... 3

1.2 How Machines Learn: Three Components of AI ........ 6

1.3 Trends Accelerating AI ........ 9

1.4 Challenges & Risks ............. 13

1.5 Why Logistics? Why Now? .......... 14

2 AI BEST PRACTICES FROM OTHER INDUSTRIES ........ 16

2.1 Consumer AI: Ambient Assistance in Everday Life ............. 16

2.2 Enterprise AI: Working Smarter & Harder on Behalf of Professionals ............ 17

2.3 AI in Retail: Personalized Online Experiences & Self-Learning, Replenishing Spaces ........ 19

2.4 Autonomous Transportation: AI Under the Hood ..... 20

2.5 Engineering & Manufacturing: AI Shapes the Physical World ...... 21

3 ARTIFICIAL INTELLIGENCE USE CASES IN LOGISTICS ........ 22

3.1 Back Office AI ............ 22

3.2 Predictive Logistics: The Next Operational Paradigm ......... 25

3.3 Seeing, Speaking & Thinking Logistics Assets .......... 27

3.4 AI-Powered Customer Experience ......... 32

3.5 Getting Started with AI in Your Supply Chain .......... 33

CONCLUSION AND OUTLOOK ........ 36

SOURCES ..... 37

PICTORIAL SOURCES ............. 39

目录

前言... 1

1了解人工智能............ 3

1.1 AI的起源和定义..... 3

1.2机器如何学习：AI的三个组成部分........ 6

1.3趋势加速AI ........ 9

1.4挑战与风险........................ 13

1.5为什么要物流？为什么现在？ .......... 14

2其他行业的AI最佳实践........ 16

2.1消费者AI：日常生活中的环境帮助............. 16

2.2企业AI：为专业人士而努力工作............ 17

2.3零售业中的AI：个性化的在线体验和自学，补充空间..... 19

2.4自主运输：幕后的AI ..... 20

2.5工程与制造：人工智能塑造了物理世界……21

3人工智能在物流中的使用案例..... 22

3.1后台AI ............ 22

3.2预测性物流：下一个操作范式........................ 25

3.3看，说和想物流资产.......... 27

3.4 AI驱动的客户体验......... 32

3.5供应链中的AI入门..... 33

结论与展望........ 36