PCMS

Loss prevention retail data mining is a commonly used phrase to describe the analysis of retail transaction data to facilitate the identification of losses or shrinkage caused at the retailer's tills by cashiers and / or internal process failures.

Losses caused by cashiers are typically categorised as follows:

• Internal theft or fraud or the deliberate manipulation of the PoS functionality and processes
• Low cashier capability - cashiers who cause real loss and 'paper' loss by their poor understanding of how to use the tills correctly and the expected business processes
• Low cashier compliance - cashiers who fail to meet the required level of compliance to process despite having a good understanding of the expected business processes

The PCMS data mining solution uses a complex set of analysis techniques to successfully prevent and detect losses using the industry best practice control principle of:
Control - Deter - Detect.