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In the context of globalization and digitalization, big data and cross-border e-commerce have become important tools for modern supply chain management. Especially in the field of aquatic product supply chain, the use of big data and cross-border e-commerce has brought significant impact. This paper conducted an in-depth study on the impact of cross-border e-commerce on aquatic product supply chain and optimization strategies under the background of big data. This paper starts with the definition and characteristics of big data and cross-border e-commerce, and then analyzes the current situation and existing problems of aquatic product supply chain. This paper deeply discusses the role of cross-border e-commerce in the supply chain of aquatic products and the application and impact of big data in the supply chain of aquatic products in cross-border e-commerce. On this basis, this paper proposes a supply chain management strategy based on big data and the role of cross-border e-commerce in optimizing the supply chain of aquatic products, and verifies it through quantitative research methods. Throughout the research process, a large number of data, formulas and graphs are used to support arguments and arguments. This study provides a novel and practical perspective to view the role of big data and cross-border e-commerce in aquatic product supply chain and optimization strategies, which has important guiding significance for further research in related fields.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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