SMART SHOPPING GAINING SELLER'S AND BUYER S RECIPROCITY THROUGH BUYER'S SHOPPING BEHAVIOR ANALYSIS

Abstract

Internet is changing the way consumers shop for goods and services and has rapidly evolved into a global event. On-line shopping is mostly preferred by almost all the world. It can be a boon to your budget when you know where to look for the best deals and how to get discounts. Our project aims to provide buyers the ease of shopping online. The objective of our project is to develop a smart shopping application and to develop an algorithm which analyzes the online behaviour of customers. For this a survey was conducted and the 500 questionnaires distributed among different people of different age groups. Data was selected from these questionnaires after removing outliers from the data. Algorithm is designed, implemented and tested. The retrieved results after analysis ofuser’s footprints were quite near the pre-forecasted and expected outcomes.