Use AI technology to change logistics models and processes

Author: Zen and the Art of Computer Programming

With the development of the economy, the improvement of the quality of life, the continuous improvement of consumption power, the facilitation of social transportation, and the advancement of information technology, logistics has become more and more diversified, and all walks of life are adapting to their own needs and needs. Choose the appropriate transportation method according to your purpose. However, the current logistics system still has many problems, such as low efficiency, high logistics costs, high opacity, collaborative distribution, etc. How to improve logistics models and processes through technological means has become an important topic in the current logistics field. Emerging AI technologies such as Machine Learning, Deep Learning, and Reinforcement Learning are subverting the design ideas of traditional logistics management methods and have made breakthrough progress. How to combine AI technology and its new logistics system to effectively promote and improve the efficiency of logistics services, reduce costs, improve customer satisfaction, and improve logistics management mechanisms has also become an important topic in the logistics industry. Below, I will elaborate on this issue.

2. Explanation of basic concepts and terms

2.1 Introduction to concepts and terminology

2.1.1 Logistics

Logistics refers to the transportation activities of goods or goods, including cargo transportation, loading and unloading, insurance, collection, warehousing and other links. It is the most basic and important link in the modern business world. It proceeds from the source to the end, through various intermediate links, completes "document circulation", and finally forms "commodity circulation".

Logistics as a field is mainly divided into supply chain management, transportation planning and engineering, intelligent logistics, logistics operation management, logistics security, express delivery, logistics consulting, e-commerce logistics, logistics finance and other fields. Logistics management refers to management activities that plan, control, and optimize logistics processes and logistics resources to ensure that economic benefits and social equity are compatible. The purpose is to deliver products/services to end users quickly and accurately. Therefore, the goal of logistics management is to meet user needs and effectively utilize the resources and capabilities of enterprises and regions, improve production efficiency and quality, and reduce risks and losses.

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Origin blog.csdn.net/universsky2015/article/details/131757469