Supply Chain Resources and Economic Security Based on Artificial Intelligence and Blockchain Multi-Channel Technology

Abstract

With the rapid growth of social economy and the improvement of people's living standards, the logistics industry not only shows a trend of rapid development, but also faces various business risks. Therefore, supply chain management becomes particularly important. Strengthening supply chain management has become a general trend. The traditional cost-oriented supply chain management model has been unable to meet the requirements of modern enterprise development. Given that the changes in customer demand, production, and sales have not been considered, enterprise resources are easily wasted. How to build a new supply chain model driven by value and customer demand has become one of the problems that large enterprises must solve. The combination of artificial intelligence (AI) and blockchain technology (BT) can realize information sharing, risk sharing, data interaction, and other functions. Through smart contracts, the division of responsibilities among all roles in the supply chain is controlled, which makes the supply chain safer and more efficient. In this paper, the authors designed a new supply chain financial system model that can effectively reduce financial risks, improved the efficiency of capital use, and enhanced the competitiveness of enterprises. The authors compared the traditional supply chain management mode with the management mode under the combination of AI and BT. The supply chain resource and economic security management based on AI and blockchain multichannel technology was more efficient, the system security index was higher, and the internal employee satisfaction of the enterprise also increased by 5.98%. The simulation application system for the internet of things and edge computing has the characteristics of high real-time and scalability. By analyzing the differences between the internet of things and edge computing technologies in terms of device perception, communication mode, data processing, and processing performance, product manufacturing efficiency can be improved to a certain extent.

Application of Artificial Intelligence Data Mining Algorithm in Enterprise Management Risk Assessment

“…A data mart can generate transaction reports and conduct statistical analysis for specific departments or business operations (Dahooie et al, 2021). In a paper on database and data warehouse technology, Wang and Yu (2023) cover pattern recognition, high-performance computing (HPC), machine learning (such as neural networks and fuzzy systems), and spatial or temporal data analysis. The new data management technologies of data mining and knowledge discovery from databases (KDD) have emerged in recent decades (Prokofieva, 2023).…”