Hungry people universally agree that having delicious food delivered hot to your home is a beautiful thing. It’s also a tasty enticement for a cybercrook to let you buy them dinner, too, and maybe a flat-screen or a Rolex down the line, if the scam goes undetected long enough.
It’s the invisible, unwanted price we pay for the otherwise outstanding experiences that restaurants and ghost kitchens have been cooking up during the year of COVID-19.
Turns out consumers want to know their favorite eateries are being judicious with data.
“A survey of 1,000 quick-service restaurant (QSR) customers found that more than half of respondents worried that their digital interactions with QSRs could result in a form of fraud, such as an account takeover (ATO), stolen payment information or fake reviews,” the Tracker states, “with nearly half having concerns about credit card data theft and 41 percent being wary of a potential ATO. This hasn’t deterred consumers from installing these apps on their mobile devices, though, with recent research showing a 51 percent surge in restaurant delivery app downloads from the Apple App Store during the pandemic’s onset in late March and into April.”
Upside, Downsides Of MOA
There’s no doubt that the mobile order-ahead (MOA) craze was what the doctor ordered back in the interminable COVID-19 spring. In this case, it was Dr. Anthony Fauci of the National Institute of Allergy and Infectious Diseases, who back in March said to stay home until they figure this thing out.
Dr. Fauci gave no dietary advice that we know of. He didn’t need to.
Some Americans reportedly spent up to half of their stimulus checks on MOA during the depths of this past spring. The internet was deluged with food deliveries that were orders of magnitude above anything they had seen. And each one of those orders was a potential fraud.
For this reason, artificial intelligence (AI) and machine learning (ML) are being widely deployed to keep the important MOA channel clear of digital threats, so real customers can enjoy it.
“Because QSR transactions are unique, determining identity trust requires a robust data network of signals from billions of annual interactions. For instance, ordering a coffee three times a day — or seven at once — may not be unusual, and a simple solution may not make an accurate decision in real time,” Rich Stuppy, chief customer experience officer at Kount, told PYMNTS.
“Adaptive AI coupled with the right data can make highly accurate…