Challenges of IoT Application in JD's Intelligent Warehousing System

Authors

  • Jiaming Lin Quanzhou University of Information Engineering, Quanzhou, 362800, China
  • Haoxiang Jiang Quanzhou University of Information Engineering, Quanzhou, 362800, China
  • Xiaojun Ke Quanzhou University of Information Engineering, Quanzhou, 362800, China

Keywords:

IoT; Intelligent Warehousing; JD; Application Challenges; Breakthrough Strategies; Intelligent Warehousing

Abstract

In the context of the continuous growth of the e-commerce industry leading to a massive demand for warehousing, the transformation of warehousing to intelligence has become an inevitable trend. This study focuses on the application of Internet of Things (IoT) technology across the entire warehousing process, using the JD Quanzhou Intelligent Warehousing System as the case study. Considering the regional industrial characteristics of Quanzhou, it analyzes core challenges from three dimensions: technology, management and operation, and external environment, including data security, technical compatibility, network stability, personnel skills, cross-departmental collaboration, and policy regulations. Targeted breakthrough strategies, such as technological innovation optimization, management and operational innovation, and external environment response, are proposed, including strengthening data encryption and access controls, improving the talent training mechanism, and promoting the formulation of industry standards. The practice shows that these strategies have effectively improved operational efficiency, reduced operating costs, and the order accuracy rate is above 99%. The research provides a practical, targeted reference for enabling IoT to empower intelligent transformation in warehousing across the e-commerce and logistics industries.

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This graphical abstract visualizes the core components of your study on JD's Intelligent Warehousing in Quanzhou. It effectively breaks down the "Challenges" into technical, managerial, and external categories, illustrates the "Process of IoT Application," lists the specific "Targeted Strategies" implemented, and displays the "Practice Outcomes"—achieving >99% order accuracy while increasing efficiency. The modern, technical aesthetic makes it easy to grasp the entire research at a glance.

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Published

09-05-2026

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Research Article