Design and implementation of AI-Driven smart supply chain logistics big data platform
人工智能驱动的智慧供应链物流大数据平台设计与实现

摘要

随着信息技术的迅猛发展，人工智能（AI）在各个领域的应用越来越广泛，特别是在供应链和物流管理中。智慧供应链物流大数据平台作为智能化物流体系的重要组成部分，能够通过AI技术和大数据分析，实现对供应链各环节的实时监控与优化。本论文旨在探讨如何通过人工智能驱动的智慧供应链物流大数据平台进行设计与实现，提升物流效率、降低成本，并增强企业的市场竞争力。通过分析现有物流管理的痛点与挑战，本文提出了一种基于AI与大数据的智能化解决方案，并结合实际案例进行系统性阐述。

Abstract

With the rapid development of information technology, the application of artificial intelligence (AI) is becoming increasingly widespread in various fields, especially in supply chain and logistics. As an important part of the intelligent logistics system, the smart supply chain logistics big data platform can achieve real-time monitoring and optimization of each link in the supply chain by using technology and big data analysis. This paper aims to explore the design and implementation of a smart supply chain logistics big data platform driven by AI to improve logistics efficiency, reduce costs, and the market competitiveness of enterprises. By analyzing the pain points and challenges of existing logistics management, this paper proposes an intelligent solution based on AI and big data, and describes it systematically combination with practical cases.