Simulation and analysis of buying behavior in supermarkets

Future supermarkets will provide instrumented shopping carts, shelves and products so that large amounts of event data of customer´s actions inside the store will be recorded. Special data mining algorithms will be necessary for analyzing this data effectively. At present, respective event data is not available. In order to create test data sets for developing, implementing and testing respective data mining algorithms presently, a simulation of buying behavior in supermarkets is currently being developed by the authors. It will be used to investigate tailored data mining methods.