Abstract
Queuing models have been largely used in the literature for obtaining routine actions and developing employment policies. However, the majority of this work has started a pure probabilistic point of view and has not addressed issues of statistical conclusion. In this article, we have tried to study bounce rate of shopping of clients with particular emphasis on online shopping operations and discuss the various reasons for high bounce rates for five leading online shopping sites in the Indian context. We have prepared a table and graph on the queue of the people who visit the sites and bounce back without placing any orders. We have tried to point out the actual arrival, service, and leaving pattern from online shopping. We have tried to establish a relationship between various variables among this data and also the presentation of all the sites and its effect on bounce rate.
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