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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50405
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the rapidly evolving digital economy, e-commerce website development has become a pivotal factor in shaping consumer behavior and business success. This research explores the relationship between website development practices and customer insights, focusing on enhancing user engagement, trust, and conversion rates. Leveraging advanced technologies like AI-driven analytics, UX/UI optimization, and real-time feedback mechanisms, the study identifies critical components that influence customer satisfaction and purchasing decisions. The results provide actionable recommendations for businesses to design and optimize e-commerce platforms aligned with customer expectations and market trends. This paper explores the development and analysis of an E-Commerce website that incorporates modern web technologies and data analytics to enhance user experience and business intelligence. The project integrates a full-stack web application with a built-in recommendation system, secure transaction mechanisms, and customer behavior analysis using machine learning algorithms. The primary objective is to provide a robust platform for online shopping while leveraging user data to personalize shopping experiences and improve sales strategies.
KEYWORDS
Publication Date
4/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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