Intelligent Online Shopping using ML-based Product Comparison Engine

Harikirshnan., K; Nagavigneshwar., R; Vignesh., R; Santhosh, R.; Reshma, R.

doi:10.1109/icict57646.2023.10134401

Cited by 2 publications

(1 citation statement)

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“…The world of price comparison tools is booming, with researchers and developers constantly innovating to help consumers snag the best deals online. A great example is the web system designed by Smith et al This tool gathers prices from a multitude of retailers and displays them to users in real-time, making it a breeze to find the low-cost option [4].…”

Section: Fig1 Web Scraping Flowchartmentioning

confidence: 99%

Optimizing E-Commerce Decision Making Using Web Scraping

Chandrawat,

Kumar,

Bohra

2024

Preprint

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This research investigates the potential of web scraping techniques to optimize decision-making within the e-commerce landscape. By leveraging advanced scraping methods, the project aims to develop a framework that extracts and analyses data from various e-commerce domains. This data will encompass crucial elements like product information and pricing strategies. Through innovative data analysis techniques, the framework will uncover valuable insights and trends, empowering e-commerce businesses to make informed decisions in several key areas. These areas may include optimizing product selection, implementing dynamic pricing strategies, and crafting targeted marketing campaigns. Ultimately, this research seeks to demonstrate how web scraping, when employed ethically and responsibly, can become a powerful tool for e-commerce businesses to gain a competitive edge and enhance their overall decision-making processes.

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Section: Fig1 Web Scraping Flowchartmentioning

confidence: 99%