Facial Recognition Tabbed by Retailers to Slow $100B in Losses Amid ‘Sweethearting’ Surge
Editor's CommentBig Brother will be watching you even while at work!
by Abigail Opiah | Biometric Update
Retail theft is on the rise in the U.S., with losses topping an estimated $100 billion annually. In addition to shoplifting and employee theft, a growing challenge is “sweethearting” — a form of insider fraud where employees covertly grant unauthorized discounts or free items to friends or family members. This type of theft often goes undetected, as employees exploit their access to systems by bypassing item scans, issuing false refunds, or misusing employee discounts.
To combat this form of fraud, Corsight AI has developed a facial recognition-based sweethearting module designed to identify and prevent sweethearting incidents.
Corsight’s global VP of sales, Gal Biton, explains that the facial intelligence platform analyzes employee-customer interactions, identifying unusual patterns, flagging frequent and suspicious contacts for further review by security teams.
“These flagged interactions often reveal sweethearting cases where customers, in cooperation with cashiers, leave with unpaid items,” Biton adds. Read Full Article >