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With the growth of economic growth and information globalization, cross-border e-commerce has gradually emerged, and due to its rapid growth, it has attracted the attention of governments, enterprises and consumers of various countries. In the cross-border e-commerce platforms, logistics service providers prosper and lose each other, and influence each other. Based on the current well-developed computer architecture and fuzzy prediction theory, this paper conducts modeling research on the efficiency of cross-border e-commerce, and optimizes and analyzes the results.
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