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Smart E-Commerce Logistic Construction Model Based on Big-Data Analytics
This pr
Smart E-Commerce Logistic Construction Model Based on Big-Data Analytics
This project proposes an innovative and reasonable supply chain construction model for e-commerce that enhances the power of big data analytics to optimize and amplify the efficiency of the logistics continuum. The primary objective involves thoroughly exploring how big data analytics can effectively amass, scrutinize, and extract vital insights from the wide variety of logistics-associated data within the e- commerce landscape. This encompasses diverse sources such as order records, inventory data, transportation logs, and traffic patterns. Ultimately, the project aims to create an intelligent logistics construction model, harnessing big data analytics capabilities. This includes the integration of data mining, machine learning, predictive analytics, and optimization algorithm
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