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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 3, MARCH 2025

DSTS.com WEBSITE FOR SHOPPING

Om Pawar, Sanskruti Maskar, Dhanashree Pol, Sakshi Chavan, Dhanashri Ghatage

DOI: 10.17148/IJARCCE.2025.14375

Abstract: Advanced digital platforms that cater to a wide range of shopping requirements have emerged as a result of the rapid expansion of e-commerce, which has altered the way consumers interact with businesses. DSTS.com is a cutting-edge online shopping site made to make shopping easy, secure, and personalized for customers. This paper focuses on DSTS.com's innovative approach to e-commerce and examines its core functionalities, technological framework, and market positioning. To increase user engagement, the platform incorporates AI-driven recommendation systems that suggest relevant products based on past browsing and purchasing patterns. Additionally, it makes use of secure payment gateways to guarantee secure and dependable transactions. Additionally, a user-friendly and intuitive interface makes it simple to navigate, making shopping enjoyable for customers of all ages. Customers can get their hands on a wide range of high-quality goods at reasonable prices thanks to the extensive product catalog that DSTS.com provides, which includes clothing, electronics, household necessities, and other categories. Additionally, the website includes effective logistics management, allowing for prompt and dependable delivery services. In addition, live assistance and chatbots powered by AI increase customer satisfaction by addressing queries and concerns in real time. This study examines DSTS.com's technological architecture, business model, and market impact to determine how it changed online shopping. The platform aims to redefine e-commerce convenience and efficiency by making use of data analytics, machine learning, and design that is focused on the customer. The paper ends with a discussion of DSTS.com's potential for the future, with a focus on ongoing innovation and adapting to changing consumer trends.

Keywords: E-commerce, marketing strategy, consumer segmentation, collection of comments from consumers, business analysis, security encryption

How to Cite:

[1] Om Pawar, Sanskruti Maskar, Dhanashree Pol, Sakshi Chavan, Dhanashri Ghatage, “DSTS.com WEBSITE FOR SHOPPING,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14375