Abstract
With the increasingly fierce market competition and the increasingly diverse and personalized demands of consumers, the traditional supply chain management model has gradually exposed many drawbacks such as slow response speed, insufficient flexibility and information asymmetry, and has been difficult to adapt to the rapidly changing market environment.The rapid development of artificial intelligence (AI) technology has brought unprecedented transformation opportunities to the intelligent manufacturing supply chain. With its powerful data processing capabilities, deep learning capabilities and intelligent decision-making capabilities, AI can collect, deeply analyze and accurately predict the massive data generated by each link of the supply chain in real time, thereby achieving intelligent management and optimization of the supply chain. Through AI technology, enterprises can achieve precise demand prediction, rationally plan inventory, optimize production scheduling, improve logistics and distribution efficiency, effectively reduce costs, and enhance customer satisfaction. Against this backdrop, this study focuses on the marketing transformation of the intelligent manufacturing supply chain driven by AI, especially in the key areas of transparent traceability and the construction of consumer trust, which holds significant theoretical and practical significance.
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CITATION STYLE
Li, B. (2025). Ai-driven Marketing Transformation in the Supply Chain of Intelligent Manufacturing: Research Report on Transparent Traceability and Building Consumer Trust. In Proceedings of 2025 International Conference on Artificial Intelligence and Smart Manufacturing, ICAISM 2025 (pp. 627–632). Association for Computing Machinery, Inc. https://doi.org/10.1145/3756423.3756526
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