SALES ANALYSIS USING PRODUCT RATING IN DATA MINING TECHNIQUES

Sushant Bhagwat, Vishnu Jethliya, Ankit Pandey, Lutful Islam

Abstract: In this paper a new product rating approach for mathematically and graphically analyzing sales of same type of products from different manufactures and with most frequent combination of items is proposed. In product sales market there is no specific rating for product of same type and combination of product purchasing pattern. By this we retrieve the best combination of products with mathematically rating. By this rating and pattern we can make graphical representation of rating and combination of product of same type to compare them with other . Data mining provide more abstract knowledge to analyze business functionalities with retail product data. The purpose of product is to fulfill need of customer , based upon it there are different company makes product of same type , by analyzing it mathematically best one can be calculated thing such as customer satisfaction , product efficiency , popularity among them.

Keywords: Data Mining, Sales Report, Product rating, Threshold value

DOI: https://doi.org/10.15623/ijret.2015.0402024