It simply acts as a heads-up to store security when a known shoplifter does enter, so they can pay closer attention. It’s important to note that the technology cannot flag the act of shoplifting itself, or an individual shoplifter who is not known or has not been apprehended in the past. Once flagged, security personnel can keep a closer eye on the individual or escort them out if they’re banned from the premises. Unless security personnel are actively monitoring the individual out of all of the store cameras as the theft is happening, shoplifters are able to exit easily and often return to the same store to steal again.Ĭameras equipped with AI facial recognition can flag a known shoplifter anytime one enters the store. However, for the rest, cameras alone do little to end a shoplifting incident.

Preventing Repeat ShopliftingĬamera systems are the base of any retailer’s in-store security and their presence alone deters a portion of would-be shoplifters. These smart systems can help enhance security and prevent shoplifting occurrences by repeat offenders, as well as gather invaluable anonymized data to inform marketing and store planning decisions. While there is no perfect technology out there today to end theft, retailers are meaningfully enhancing existing store systems with AI to better interpret what they’re seeing. By the numbers, retailers experienced a startling 26.5% increase in organized retail crime incidents in 2021, and soon to come 2022 figures are expected to continue the trend. It’s hard to believe that in the same year cutting edge technologies like augmented reality and autonomous shopping have exploded in retail, shoplifting is still aching the minds of executives.īig box leaders like Target and Walmart have recently revealed the sizeable impact retail theft has had on 2022 revenues, with Walmart’s CEO even threatening to close stores or be forced to raise prices on consumers if things don’t change soon.

Cyberlink suite