Statistical Analyzer Application for Daily Sales Record

Abstract

The objective of the project is to develop an application that is capable to calculate, analyze and display the results of daily sales of any franchise in the form of numeric values as well as graphs based on statistical analysis. The project uses single channel queue technique based on random number generation and results are displayed in the form of histograms and graphs. The existing system gives the detail of the sales and also calculates total budget and revenues but it lacks the calculation of minimum sales and peak sales hours. These existing systems do not give graphical representation based on sold products. These do not give statistical analysis. These applications just give one by one report of products consuming a lot of time, if we have to check for a record of one item we have to search one by one the record of that selling product. They also do not tell on which day what product and at which time is sold most.