Research on Supply Chain Information Integration and Overall Optimization from the Perspective of Smart Logistics

With the continuous changes of the market environment, the core of enterprise competition has shifted from the competition of individual scale and cost to the overall operational efficiency of supply chains. As a core link connecting production and consumption, traditional logistics models suffer from delayed information feedback, inefficient resource allocation and insufficient cross-entity collaboration, which make them unable to adapt to complex and volatile market demands. New-generation information technologies such as the Internet of Things, big data and artificial intelligence have accelerated the large-scale application of smart logistics, which has become a mainstream development trend in supply chain management. Meanwhile, national policies have continuously guided the in-depth development of modern logistics and smart supply chains. Nevertheless, the practical effects of smart logistics vary widely among enterprises at present. Some enterprises overemphasize hardware and system construction while ignoring the upgrading of organizational collaboration and management mechanisms, failing to fully unlock the empowering value of smart logistics for supply chains. From the perspective of smart logistics, this paper adopts the methods of literature analysis and case analysis. It sorts out relevant theories of smart logistics and supply chain management, analyzes the current operation status of supply chains under smart logistics, explores supply chain optimization paths combined with typical enterprise cases, summarizes existing pain points and puts forward targeted optimization suggestions. The study finds that current supply chains are generally confronted with four major problems: prominent information silos, imperfect collaboration mechanisms, mismatch between technology application and management capabilities, and heavy pressure on comprehensive cost control. Smart logistics can improve supply chain performance through three functional mechanisms: enhancing information transparency, integrating logistics resources and strengthening supply chain collaboration. Accordingly, this paper proposes optimization paths from four dimensions: breaking information barriers, establishing multi-party collaboration mechanisms, promoting the in-depth integration of technology and management, and forming systematic cost control thinking. The research results can provide theoretical references and practical ideas for enterprises to deploy smart logistics and realize overall supply chain optimization, as well as a basis for government departments to formulate relevant logistics industrial policies.