One of the expected gains by studying queuing systems is to review the efficiency of the models in terms of utilization and waiting length, hence increasing the number of queues so customers will not have to wait longer when servers are too busy. In other words, trying to estimate the waiting time and length of queue(s) is the aim of this research paper. We may use queuing simulation to obtain a sample performance result and we are more interested in obtaining estimated solutions for multiple queuing models. The restaurant Swiggy app details like customer arrival and service are directly collected from the eatery for a duration of 3 months. For the analysis point of view the queuing factors are found via Tora (Toolkit for Oracle) Software and Queuing simulation for the next month is also done. Empirical data of arrival and service times during the checkout process was recorded through observation technique to analyse the performance measures of the single-channel single-queue system at the checkout counter. Monte Carlo Simulation technique was used to analyse the operating characteristics of queues, efficiency and server utilization. These factors play a chief role in understanding customer satisfaction during the checkout process and help the management to evaluate service efficiency at the checkout points. This study enables to do research on the efficiency and effectiveness of using Online App in eateries thus avoiding direct customer waiting time in queues of restaurants.