International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Empowered Price Prediction and Comparison for Online Products |
|---|---|
| ABSTRACT | Artificial Intelligence has revolutionized e-commerce pric- ing strategies by introducing sophisticated dynamic pricing mechanisms that adapt to market conditions in real-time. The integration of AI-driven systems enables retailers to optimize pricing decisions through advanced data process- ing, customer behavior analysis, and predictive modeling. These systems leverage machine learning algorithms to process market dynamics, competitor behavior, and cus- tomer preferences, resulting in enhanced profitability and market competitiveness. Online shopping has become more accessible due to the rapid growth of e-commerce, but it has also been plagued by price fluctuations and discount masks, as wellas platform-dependent price changes. Smart Shop is an online marketplace that tracks and predicts product prices, providing users with a more efficient way to make informed purchasing decisions. This includes prod- ucts from various websites like eBay and Amazon.Smart Shop is designed to bridge the gap between e-commerce and AI administerable decision-making by eliminating manual price monitoring. By providing a user-friendly shopping assistant, the system enhances online shopping efficiency, decreases overpricing, and gives shoppers an advantage in getting the best deals.This paper elicitates in building an automation system for comparing prices of the products from different online shopping systems (OSS) using browser automation and web scraping. This paper aims at building a system which reduces the time consuming and tedious process of manually searching and comparing products from different online shopping systems or e-commerce sites. |
| AUTHOR | BHAVYA L, DR. KIRAN G M M. Tech. Department of CSE, SIET Tumkur, India Associate Professor, Department of CSE, SIET Tumkur, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1406008 |
| pdf/8_AI Empowered Price Prediction and Comparison for Online Products.pdf | |
| KEYWORDS | |
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