Authors: Edgar Alonso Lopez-Rojas
RetSim is a multi-agent based simulator (MABS) cali- brated with real transaction data from one of the largest shoe retailers in Scandinavia. RetSim allows us to gener- ate synthetic transactional data that can be publicly shared and studied without leaking business sensitive informa- tion, and still preserve the important characteristics of the data. In this paper we extended the fraud model of RetSim to cover more cases of internal fraud perpetrated by the staff and allow inventory control to flag even more suspicious activity. We also generated sufficient number of runs us- ing a range of fraud parameters to cover a vast number of fraud scenarios that can be studied. We then use RetSim to simulate some of the more com- mon retail fraud scenarios to ascertain exactly the cost of fraud using different fraud parameters for each case.