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Big data analytics uses data-driven decision making to optimize supply chain management. The optimized supply chain result in reduced lead times, heightened customer satisfaction, increased cost savings and enhancing the overall performance of the system. This chapter focuses on the elaborating the different methods where big data analytics can be used to enhance the effectiveness of supply chain. It also discusses the case studies where big data has given the better insights and enhanced the customers services

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Strategic Insights: Revolutionizing Supply Chain Efficiency Through Big Data Optimization

  • 章节

  • 发表日期：

    2025年

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  • Varsha Mittal,
  • Preeti Malik

摘要

Big data analytics uses data-driven decision making to optimize supply chain management. The optimized supply chain result in reduced lead times, heightened customer satisfaction, increased cost savings and enhancing the overall performance of the system. This chapter focuses on the elaborating the different methods where big data analytics can be used to enhance the effectiveness of supply chain. It also discusses the case studies where big data has given the better insights and enhanced the customers services