E-Commerce for Future & Trends

Latest articles

• Published Subscription Original Research 10 Sep 2026

  Dynamic Price Model for E-Commerce

  By Saurabh Shah, Bhavna Sharma, Kamlesh Lakhwani

  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 →

• Published Subscription Original Research 2 Sep 2026

  Comparative Analysis of AI-Enabled Conversational Agents and Recommendation Systems for Real-Time Customer Engagement in E-Retailing

  By Dushyant Bodkhey, Shriram Dawkhar

  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 →

• Published Subscription Review Article 10 Aug 2026

  Personalization in E-Commerce and Its Impact on Customer Satisfaction

  By Anjali Goswami, Nisha Yadav, Khushi Pathak

  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 →

• Published Subscription Original Research 15 Jun 2026

  Campus Connect: Intelligent Web Platform for Integrating Academic and Administrative Campus Activities

  By J. Kalyan Murali, J. Paramesh, V. Chandra Shekar Varma, G. Bunny Babu, R.V.V. Satish, G. Sukanya

  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 →

• Published Subscription Original Research 10 Apr 2026

  A Privacy-Preserving and Performance-Optimized Machine Learning Framework for Personalized E-Commerce User Experience

  By Ravi Bhushan Kumar, Manish Sharma

  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 →

• Published Subscription Review Article 1 Apr 2026

  RideRadar: Real-Time Bus Tracking and Updates

  By Sayali Shinde, Pradnya Koleshwar, Aadesh Deshmukh, Pranav Dawange, Alok Dhandar

  Abstract: Daily bus commuters know the frustration well, standing at stops with no idea when their ride will arrive, missing connections, and dealing with safety concerns that make public transport feel unreliable. This paper describes our prototype solution: a smart tracking system that tackles these everyday problems head-on. We built a system that connects real-time GPS data with direct passenger input, creating two-way communication between riders and transit operators. Passengers can …

  Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 38–46 Read article →

• Published Subscription Original Research 31 Mar 2026

  HirePrep: A Microservice-Based Integrated Placement Preparation Platform with AI Assistance

  By Sumit Madaan, Rakshita Bhansali, Nagendra Singh Sisodiya, Lakshit Meena, Sonam Lowry

  Abstract: Preparing for campus placements can be a confusing and time-consuming process. Students have to use different platforms for things like practice tests, study materials, talking to people, and getting updates from the administration. This is not a waste of time, but it also makes it harder for students to be productive and clear about what they need to do when they are getting ready for their careers. To make things …

  Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 25–37 Read article →

• Published Subscription Review Article 31 Mar 2026

  E-Commerce Clothing Platform with Virtual Try-On

  By Pratik Kape, Sarthak Joshi, Sujit Gawade, Satyajeet Babar

  Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …

  Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article →

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