@Article{cmes.2021.014265, AUTHOR = {Shiyan Xu, Jun Chen, Maoguo Wu, Chenyang Zhao}, TITLE = {E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology}, JOURNAL = {Computer Modeling in Engineering \& Sciences}, VOLUME = {126}, YEAR = {2021}, NUMBER = {2}, PAGES = {843--854}, URL = {http://www.techscience.com/CMES/v126n2/41291}, ISSN = {1526-1506}, ABSTRACT = {With in-depth development of the Internet of Things (IoT) in various industries, the informatization process of various industries has also entered the fast lane. This article aims to solve the supply chain process problem in e-commerce, focusing on the specific application of Internet of Things technology in e-commerce. Warehousing logistics is an important link in today’s e-commerce transactions. This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology. This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer (REST) style. Combining actual IoT applications and the characteristics of an existing platform, a REST-based IoT resource sharing platform is proposed. Combined with actual projects, a REST-based IoT resource sharing platform was built, and key technology experiments were conducted for verification. Finally, optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are discussed. Research on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.}, DOI = {10.32604/cmes.2021.014265} }