CSE498, Collaborative Design, Spring 2011
Computer Science and Engineering
Michigan State University

In order to help customers save time and also provide convenience, Meijer has set up a system to allow customers to cash their payroll checks at the store. While there are many benefits to providing this service, it also creates problems when people begin to cash fraudulent checks and therefore steal from Meijer.

In an effort to prevent or detect these fraudulent activities, we developed web-based software called the Consumer Payroll Check Cashing Analytics that can be used to track the number of fraudulent checks cashed and to predict future fraud.

Working with Meijer, we were able to create an easy-to-use web page that they can use to search for customers that have cashed a payroll check to see if they are passing bad checks.

To help visualize the different kinds of activities that a customer is doing, graphs and charts were put into our program as shown on the right.  A report of recent activity can be created against the entire Meijer chain, or a group of particular stores to help identify trends. 

The Consumer Payroll Check Cashing Analytics system can be accessed with both Internet Explorer and Firefox using Windows XP, Vista, and Windows 7.

The software is written in C# using jQuery for the graphical user interface. The graphs and charts are implemented using jqPlot.