Authors- Dr Anjna Dubey Associate Professor, Sumut Sharma Assistant Professor, Dr Navneet Kaur Assistant Professor
Abstract- The fast growth of mobile apps and online shopping sites has made it easier to collect large amounts of data to help people decide what to buy. On these websites, analyzing customer reviews can greatly improve user satisfaction and build loyalty. This paper has finds the latests techniques applied to analysis the visitor behavior, shopping experience, etc. Paper has list some of the indicators that help scholars to understand the behavior of the customer at different level of shopping. As various researcher work in same field of customer behavior analysis, so diferent outcomes and approaches were discussed in the paper. This paper help online platform to evaluate and modify current working environment.
