Exploring the Potential of Edge Computing in Enhancing Customer Experience in E-Commerce

With edge computing, the e-commerce industry is experiencing real-time, low latency processing, enhanced customer experience with faster transactions, personal recommendations, and immersive experiences. An exploration of the role of edge computing in e-commerce research is carried out through an investigation of its potential to process data closer to the user, hence diminishing the dependence on centralized cloud servers. The study is based on the timely generation of product recommendations, virtual try-ons, secure checkout, and the prediction of consumer needs in an Edge Powered Product Personalization Experience (EPSE) that uses edge AI. It provides a comparative performance analysis that emphasizes the great reduction in latency, better user engagement, and better privacy of data for edge systems compared with standard cloud architectures. It should be noted that results show that adopting edge computing delivers a better response time, better customer experience, and localized caching and AI-empowered analytics deliver enhanced conversion rates. Yet, computational constraints exist, data synchronization is not feasible, and scalability is an issue. Future directions for 5G will also include the ultra-fast connectivity that 5G can offer along with its refinement and modeling for hyper personalization and on-edge deployment to a wide range of e-commerce applications. While these issues were not found necessary to address by the Chosen Retailer, this study provides a roadmap for retailers to develop edge-driven strategies that convert digital commerce into a faster, smarter, and more scalable ecosystem focused on the delivery of the best customer experience and contributor to operational efficiency.