So many of our payments have become contactless in the past year – and businesses have felt the need to offer card-not-present payment options in an effort to maintain safety, enable off-premise food purchases and promote customer convenience. But as card-not-present transactions have climbed alongside food delivery orders in the past year, so have the opportunities for fraud. Research from Aite Group forecasts a 16.4 percent increase in card-not-present fraud this year. This fraud can hit restaurants with chargebacks that are difficult to dispute, but fortunately there are steps restaurants can take to help detect and prevent fraud. Overall, it’s about identifying patterns about your customers – who they are, how they are ordering, are and how they are finding you. Machine learning tools can help you identify what good customers look like – then flag those that look risky. For example, an order placed from a city other than the one listed as the delivery destination might raise a red flag for a restaurant business. ATM Marketplace advises having a fraud-protection provider that helps screen every transaction – and it’s important for the restaurant to partner with them to ensure the system is adaptable to the business. In a recent webinar entitled “How to Protect your Restaurant from Online Scammers,” Brittany Allen, Trust & Safety Architect at Sift, advised restaurants to use fraud detection systems that provide an activity log that lets them view a customer’s session history, and which use a single dashboard that eliminates the need to jump from tool to tool. Beyond that, Allen said a restaurant operator should know how different fraud alerts rank for their business – and what kinds of fraud similar businesses are facing. Finally, a system should allow you to take action somehow, whether to flag a suspicious transaction for further review or to stop a transaction from occurring.