DOIONLINE 
DOIONLINE Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-5 ( May, 2020 ) | |||||||||
Paper Title |
Dynamic Pricing Intelligence Approach in E-Commerce Market using KNN | |||||||||
Author Name |
Rahul Jadhav, Arpit Vaishya, Mohammad Harris Nawarangee, Ajay Dhruv | |||||||||
Affilition |
Student, Vidyalankar Institute of Technology, Mumbai, India Assistant Professor, Vidyalankar Institute of Technology, Mumbai, India | |||||||||
Pages |
25-28 | |||||||||
Abstract |
The E-commerce has transfigured the Indian business market. According to IBEF reports Indian e-commerce is expected to grow to US$ 200 billion by 2026 from US$ 38.5 billion[11].This shift in the dynamics makes it perilous for busi-ness space to stay at the edge with the changing pulse in the market. The proposed system aims to develop a SaaS service which compares the price, in stock availability and discount offers with it’s e-commerce competitors. The system aims to provide the analysis of selected desired category of product using KNN algorithm by comparing the same product in the market sold by its primary competitors to its similar primary audience. This automated system helps in reducing the compu-tational efforts required at the client side by using a crawler for E-commerce websites developed using Scrapy framework. In this paper, a complete investigation of a system about improving the efficiency in making business decisions in a dynamic environment is depicted. Keywords - E-Commerce, Product Matching, Price Intelligence, Dynamic Price Tracking | |||||||||
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