Founded in 2012 NAORCA Worldwide has grown to over 3500 members globally. Our group was spun from LinkedIn into an official business on September 18th, 2012. The National Anti-Organized Retail Crime Association was incorporated in Massachusetts. We are now doing business as NAORCA Worldwide.
In June 2017 NAORCA was named to Who’s Who in Retail Loss Prevention by ASIS International Who’s-Who-in-Retail-Loss-Prevention.aspx
We are working with businesses globally. We are passionate and dedicated in assisting businesses with theft, fraud, and cybercrime consulting, education, prevention and awareness. We provide B2B solutions for theft, fraud and cybercrimes to many industry sectors.
In the 21st century technology is being utilized to commit many varieties of theft, fraud and cybercrime. Our association is committed in providing all industries with solutions that help tackle this global epidemic.
In 2012, our Founder and Executive Director, was asked by Matt Pillar, Editor-in-Chief of Integrated Solution For Retailers , about theft, fraud, and e-crimes in the retail sector, and Christopher McGourty noted:
“We know that to successfully combat these types of crimes, Industry sectors like retail need new tools and skills that are different from those we’ve used to defeat traditional sources of internal and external shrink;” McGourty explains., “These are often complex financial crimes. They, involve fraud, counterfeiting, and complex cybercrimes. They are much more forensics-intensive than your typical theft / fraud cases of the past. As such, they require specific skills, and increased collaboration among private enterprises and law enforcement groups. We hope businesses and individuals will support our worldwide efforts.”
Industry experts estimate the cost of theft, fraud, and cybercrime to just the retail sector of the United States is about $50-$100 billion a year and climbing. The financial costs means higher prices for consumers and less taxes for state and local governments. Also many safety and health issues arise to consumers because of how product is being stored after being stolen.
Counterfeit goods have been linked to other crimes such as Terrorism, Money Laundering, and Cybercrime. Counterfeiting is a $460 billion dollar global issue that comes with a huge warning and can result in serious illness and even death.
NAORCA Worldwide can assist your business with theft, fraud and cybercrime consulting, training, education, and awareness. We see trends in many industry sectors where we see these crimes growing:
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AI Analytics in Retail: Starting Small and Building Up
Artificial Intelligence is becoming a key part of many organizations’ security postures. It’s important for security practitioners to focus on starting small and building up their AI practice to get the most out of new technologies while their organizations learn how to use them.
Part of this is because AI technology is still maturing: Every week new AI-powered security tools are announced, often related to computer vision and surveillance camera analytics. Often many organizations feel pressured to try the “latest and greatest” AI technology and end up testing technologies that promise the world and inevitably fall short, souring organizations on using AI as a whole.
In most fields these promises are easy to see through and organizations quickly become savvy to vendors that over-promise and under-deliver. For example, there is no AI that comes close to being able to flag “suspicious people,” the holy grail of many security teams.
In retail, the challenge is different. Theoretically perfect shoplifting detection is possible today: Technology like Amazon Go and Standard Cognition make it possible to track every piece of merchandise in a store and reliably detect when an individual leaves without paying.
Unfortunately, this type of technology is extremely difficult to adopt, and relies on installing hundreds or even thousands of new hardware devices in a store to enable, to speak nothing of the related server, cloud, and software costs.
Once retailers are confronted by the frustratingly high cost of near-perfect security, it’s common for them to either seek out cheaper alternatives or throw up their hands entirely.
While giving up is a missed opportunity, we often find that firms that try to look for next-best solutions still set the bar too high and end up frustrated. While shoplifting detection systems that use more limited hardware exist, they often fall short of performance expectations. At best they require dedicated staff to install, tweak, and monitor the systems, which can be a heavy lift for organizations taking their first steps into AI-powered security.
Instead, retailers looking to leverage AI to improve security should live by the mantra “crawl, walk, run.” Before starting to sprint towards shoplifting detection, security teams should try to use simpler techniques to address persistent security issues.
For example, it’s easy for retailers to leverage intruder detection sensors to identify after-hours thefts or use loitering detection on existing cameras to identify people lingering for too long outside storefronts. Even hardware sensors for counting occupancy can be a good first step to the adoption of new security tech.
All of these approaches provide a clear, measurable return on investment at a very manageable cost, which is critical as retailers try to stretch budgets farther post-COVID. And most critically, adopting simpler AI systems gives security teams practice in interfacing with this new type of technology, improving their capabilities and comfort level once the time does come to make the jump to more sophisticated systems.