Analysis of Customer Transaction Along with Segmentation and Feedback Analysis

This paper focuses on understanding of segmenting customers and their requirements. Customer segmentation is very important thing while making marketing strategies and to gain a better understanding of customers backgrounds, needs, and preferences. This can be achieved by segmenting customers into different groups. In this research paper, a customer segmentation model is proposed that can be used by companies to develop marketing strategies. The model utilizes the K-means clustering algorithm to segment customers based on attributes such as the products they have purchased, the cost of their orders, and more. Additionally, this paper suggests a methodology for analyzing customer feedback, which provides an overview of the total feedback received for a particular product. By analyzing the feedback, retailers can gain a better understanding of their products performance in the market. This can help them identify areas that need improvement and optimize their most popular products even further.