4 Simple Data Behaviors that Give Away Self-Checkout Fraud
Self-checkout can be a great way for retailers to both speed up the checkout queue and reduce labor cost. At the same time, it’s important to ensure self-checkout’s risk of shrink does not exceed its benefits – a remarkably tough challenge given self-checkout’s anonymity and shoplifters’ determination to steal. Even the most high-tech CCTV systems and report-based solutions do little to stop the modern retail criminal’s subtle, crafty schemes to bypass security protocols.
By far the most effective way to identify and stamp out self-checkout fraud is by looking to your data. Data cannot be altered, manipulated or bypassed the way CCTV footage can. By applying a data analytics solution, like prescriptive analytics, to your self-checkout data, you can identify the subtle yet telltale data behaviors that indicate fraud and automatically direct your people to take action. Download to learn the four data behaviors that a good analytics solution can instantly recognize as self-checkout fraud.