E-Commerce for Future & Trends
Volume 13, Issue 2 (2026)
Table of contents
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A Privacy-Preserving and Performance-Optimized Machine Learning Framework for Personalized E-Commerce User Experience
Abstract: In contemporary e-commerce websites, merchant suggestions are the most outstanding way to boost customer satisfaction and conversion levels. Nevertheless, the growing dependence on user data provokes significant concerns over the protection of privacy and efficiency in computation. In this paper, we have suggested a privacy-preserving and performance-optimized machine learning framework that allows customized e-commerce experiences and protects the sensitive information of users. The framework incorporates the concepts of federated learning …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Comparative Analysis of AI-Enabled Conversational Agents and Recommendation Systems for Real-Time Customer Engagement in E-Retailing
Abstract: The rapid deployment of artificial intelligence (AI) in e-retailing has revolutionized the way companies interact with customers in real time. Conversational agents and recommendation engines are two of the most popular AI techniques used to influence customer engagement, while empirical knowledge on the relative effectiveness of these approaches is rare. To bridge this gap, the current research examines and compares the impact of AI-driven conversational agents to that of AI-oriented …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 15–32 Read article
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Personalization in E-Commerce and Its Impact on Customer Satisfaction
Abstract: In e-commerce, personalization is the process of customizing online shopping experiences based on each customer’s preferences, past purchases, and behavior. E-commerce platforms are increasingly using tailored content, targeted ads, and personalized recommendations to improve the user experience due to the rapid development of digital technologies and data analytics. Providing customers with pertinent goods and services is the primary goal of personalization, which increases convenience and engagement. By improving the efficiency …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 33–44 Read article
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Dynamic Price Model for E-Commerce
Abstract: Retailers may now respond to fluctuating demand, inventory levels, competitor activities, consumer traits, and market circumstances using dynamic pricing, a data-driven technique that has become more significant in e-commerce. Modern pricing systems are much more complex and responsive than they were in the past due to the fast advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and reinforcement learning. This review critically examines recent developments in dynamic …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 45–55 Read article
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Campus Connect: Intelligent Web Platform for Integrating Academic and Administrative Campus Activities
Abstract: Campus Connect is a full-stack web-based application designed to improve communication, collaboration, and community engagement within a college campus. It acts as a centralized platform where students, faculty, and staff can create profiles, connect with each other, and participate in academic and extracurricular activities. The system includes features such as a news feed for announcements and events, discussion forums for academic interaction, a resource-sharing section for study materials, and an …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 9–14 Read article