Page 551 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

Development of a Web-Based Product Price
Comparison and Recommendation Engine

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Akshat A. Patle , Aryan S. Hedau , Prof. Shubhara Chinchmalatpure ,
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Prof. Smita Muley , Prof. Usha Kosarkar
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1,2,3,4,5 Department of Science and Technology,
1,2,3,4 G H Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India
5 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

ABSTRACT convenience, the plethora of online stores has created
In the current era of e-commerce, online shopping has challenges for consumers in identifying the best deals.
revolutionized consumer behavior. However, the Traditional price comparison methods, such as manually
abundance of online platforms often overwhelms users browsing multiple websites, are time-consuming and
seeking the best prices for products. This paper introduces inefficient. Moreover, the lack of personalized
a web-based Product Price Comparison and recommendations often results in suboptimal purchase
Recommendation Engine, a platform designed to simplify decisions.
decision-making for online shoppers. Leveraging real-time
The Product Price Comparison and Recommendation Engine
data aggregation, machine learning algorithms, and user-
addresses these challenges by centralizing and automating
centric design principles, the proposed system provides
price comparisons across various e-commerce platforms. By
accurate price comparisons and personalized product
integrating advanced technologies such as web scraping,
recommendations. This approach aims to enhance user
API-based data aggregation, and machine learning, this
satisfaction, save time, and foster informed purchase
system not only identifies the most cost-effective options but
decisions. Preliminary analysis indicates significant
also tailors recommendations based on user preferences and
potential for the system to disrupt traditional e-commerce
purchasing history. The platform aims to streamline online
paradigms, enabling users to optimize both cost and
shopping by saving users time and money while enhancing
convenience.
the overall experience.

KEYWORDS: Price comparison, recommendation engine, e- Furthermore, this system aims to bridge the knowledge gap
commerce, machine learning, user-centric design, real-time among users unfamiliar with advanced e-commerce
data strategies. By providing intuitive tools and transparent
comparisons, it empowers users of all demographics to make
1. INTRODUCTION informed purchasing decisions. This approach not only
The rapid growth of e-commerce has transformed shopping fosters trust but also promotes inclusivity in online
experiences globally. While offering unprecedented shopping.

Figure 1: Illustration of Web-Based Price Comparison Engine Workflow
This paper explores the motivation, architecture, and potential impact of the proposed system. It highlights how technology can
bridge the gap between consumer needs and market offerings, contributing to a more efficient and satisfying online shopping
ecosystem.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 541