One of the problems unique to QSRs is that this sector was historically brick-and-mortar. When they started developing digital platforms and using third parties for deliveries, their risk went up exponentially. When QSRs removed friction for consumers, they also inadvertently lowered the bar for fraudsters.
According to Kount CEO Brad Wiskirchen, AI and ML can help QSRs and other restaurants become more proactive about fraud rather than reactive. “When QSRs leverage machine learning and artificial intelligence as part of a fraud prevention solution, they gain early indications of what interactions could become problematic. That foresight enables QSRs to anticipate new types of fraud and adjust their business processes to avoid losses,” he said.