Analysis and optimization of online sales of products

The enormous number of e-commerce websites in the market today has lead to the need of having an analysis tools which helps determine whether the organization is meeting its desired sales goals. With the aim of developing a “Sales Analytics Tool” our paper describes the need of a system to analyze the database transactions of e-commerce websites using various data mining techniques and algorithms such as affinity analysis, logistic regression and linear regression. Our proposed idea through this research paper is to develop a system which takes input the database transactions of sold products, segments the data obtained, analyzes the graphs and extracts the market trends and product sales patterns. After this, the system optimizes this data on the basis of market requirements thereby improving sales and merchandise planning in a way that to increase the overall productivity and profits of the organization.