Self checkout: A balance of risk and reward
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.
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 this ebook to learn:
• Why data analysis is the most effective way to identify self-checkout fraud
• 4 telltale data behaviors that indicate fraud
• How data analytics can help you identify and eliminate retail fraud