ENHANCING E-COMMERCE COMPETITIVENESS: CNN-BASED PRICE COMPSRISON APPLICATION
DOI:
https://doi.org/10.63458/ijerst.v2i4.95Keywords:
Price Comparison E-Commerce, CNNS, Automated Extraction, Cross-Platform Comparison, Textual Data Processing, Visual Data Processing, Real-Time Updates, User Experience, Shopping Optimization.Abstract
This paper introduces an innovative method for price comparison on e-commerce websites using Convolutional Neural Networks (CNNs). We discuss the importance of price comparison, highlight the flaws in manual methods, and examine the limitations of existing systems. Our CNN-based solution automates price extraction and analysis from various online retailers, streamlining cross-platform comparisons. By processing both textual and visual data, such as product descriptions and images, our approach improves accuracy. Real-time data updates enhance the user experience. Through rigorous testing, we demonstrate the effectiveness of our CNN-based solution, promising a superior shopping experience for e-commerce consumers.
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