Intelligent Supply Chain Optimization: AI Driven Data Synchronization and Decision Making for Modern Logistics

Abstract

Supply chain management has become a research focus in the age of intelligent logistics, given the prominent need for smart supply chain optimization. How to correctly access data-driven synchronization and decision-making has become a new challenge. The introduction of this essay emphasizes that the in-depth use of AI tools can transform initial conceptual visions to comprehend truly intelligent integrated supply chain optimization. This not only interprets the technology innovation effectively, showing the significance, but also highly emphasizes the width and depth. The next step is not only the intelligent change and effect it brings but also worth pondering. This is a reflection of the development of logistics from an intelligence-driven perspective. Optimizing integrated supply chains is the core of successful supply chain management in modern supply chain management. It is indicated that the use of data-driven optimizations equates perfectly with the direction of supply chain development. Supporting technology for the thoroughly integrated supply chain optimization scheme has a direct effect on the development of the logistics industry. Intelligent supply chain optimization has positive implications for urgent needs. Industry consolidation continues to deepen; the use of big data and the internet, as well as the Internet of Things, is being increasingly utilized, and AI interpretation is also fine. Industry production is evolving at an alarming pace. This exploratory research follows this pattern. The primary aim of this essay is to review current logistics technology openings and to grasp the performance of AI for supply chain coordination. This also includes data-driven and problem-solving sourcing.