A study on Impact of Artificial Intelligence in E-Commerce and Logistics

Abstract

The incorporation of Artificial Intelligence in e commerce and logistics has significantly transformed how businesses operate and how customers interact in digital markets. Technologies such as machine learning natural language processing predictive analytics and computer vision are improving customer experience through personalized recommendations dynamic pricing and intelligent chatbots. This study examines AI adoption trends in e commerce using bibliometric analysis and identifies major research themes and future directions. A systematic bibliometric review was conducted using Scopus indexed articles published between 2004 and 2024 with the PRISMA framework for screening. In logistics AI technologies support efficient inventory management demand forecasting route optimization and last mile delivery. These innovations help organizations optimize supply chains improve operational decisions and meet rising consumer expectations for speed and convenience. Artificial intelligence has become widely recognized as a solution that simplifies complex problems and improves efficiency in many sectors. Its application in e commerce aims to influence consumer behavior and support product and brand promotion through intelligent systems. AI applications include price optimization chatbot services inventory control intelligent logistics and trend prediction. Within logistics predictive analytics helps businesses anticipate market demand and reduce stockouts or overstock situations. AI driven robotics and computer vision technologies improve warehouse productivity by automating tasks such as picking packing and quality inspection. Overall AI continues to emerge as a powerful tool that strengthens e commerce performance and enhances the efficiency of logistics operations.