Enterprise Supply Chain Transparency and Smart Contract Optimization Based on Blockchain and Artificial Intelligence

This paper proposes a supply chain transparency improvement and smart contract optimization method based on blockchain, artificial intelligence and communication network. First, combining the decentralized characteristics of blockchain, a transparent and tamper-proof data management platform is designed to automatically execute supply chain transactions through smart contracts, and at the same time, the efficient data transmission characteristics of the communication network are used to achieve rapid synchronization of information between multiple nodes. Secondly, machine learning and deep learning algorithms are used to optimize demand forecasting, resource scheduling and smart contract terms in the supply chain, and real-time data collection and transmission are achieved through the communication network, further improving the overall operation efficiency of the supply chain. Experimental simulation results show that the supply chain system based on this method has significant advantages in improving transparency, the execution efficiency of smart contracts is improved by 30%, and the overall response time is shortened by 20%.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1145/3727353.3727431
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00

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article

Enterprise Supply Chain Transparency and Smart Contract Optimization Based on Blockchain and Artificial Intelligence

Lei Wang, Jingyi Xia
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Impact of AI and Big Data on Business and Society
article

Enterprise Supply Chain Transparency and Smart Contract Optimization Based on Blockchain and Artificial Intelligence

Lei Wang, Jingyi Xia
article en

Abstract

This paper proposes a supply chain transparency improvement and smart contract optimization method based on blockchain, artificial intelligence and communication network. First, combining the decentralized characteristics of blockchain, a transparent and tamper-proof data management platform is designed to automatically execute supply chain transactions through smart contracts, and at the same time, the efficient data transmission characteristics of the communication network are used to achieve rapid synchronization of information between multiple nodes. Secondly, machine learning and deep learning algorithms are used to optimize demand forecasting, resource scheduling and smart contract terms in the supply chain, and real-time data collection and transmission are achieved through the communication network, further improving the overall operation efficiency of the supply chain. Experimental simulation results show that the supply chain system based on this method has significant advantages in improving transparency, the execution efficiency of smart contracts is improved by 30%, and the overall response time is shortened by 20%.

Hohai University (CN)
Social Science Foundation of Shaanxi Province, Central University Basic Research Fund of China, National Social Science Fund of China
Openalex Percentile: Top 87%
Impact of AI and Big Data on Business and Society
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Enterprise Supply Chain Transparency and Smart Contract Optimization Based on Blockchain and Artificial Intelligence — Lei Wang, Jingyi Xia · (2025) | TGRS Research Map | TGRS