Retailers and Law Enforcement Nationwide Are Using Flock Safety to Crack ORC Cases

San Francisco, CA | Suspect Accused of Stealing $3,400 Worth of Lululemon Merchandise
is Apprehended

After a suspect shoplifted thousands of dollars in merchandise from Lululemon, a security guard noted the vehicle’s license plate. Using this detail, SFPD officers leveraged Flock LPR cameras to track down the suspect’s vehicle, leading to the successful apprehension of the suspect.

Washington, MO | Police Apprehend a Suspect Alleged in Multiple Theft Cases From Big-Box Stores

Thanks to Flock technology, police were able to build a strong case and apprehend a suspect linked to multiple thefts. Detective Lt. Steve Sitzes shared, “We knew he was a guy that was doing a large amount here in town, put his plate in the hot list, he was flagged coming into town.” 

Houston, TX | Four Suspects Allegedly Tied to 76 Burglaries Across Houston Are Identified and Apprehended

After surveillance footage revealed a four-man crew stealing over $150,000 in products from a local business, police used Flock LPR cameras to identify the suspect vehicle, which ultimately led them to the suspects.

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Organized Retail Crime: A Multifaceted and Multi-Billion Dollar Issue

Organized Retail Crime (ORC) is a billion-dollar challenge that Asset Protection (AP) and Loss Prevention (LP) teams across the country are working tirelessly to address. As new strategies and technologies emerge, it’s clear that there’s no single solution. 

Instead, a comprehensive approach—combining cutting-edge technology, specialized training, and robust policy frameworks—is essential to building stronger cases and effectively combating retail crime.

Flock can be a powerful addition to your LP and AP teams’ toolkit. By extending threat detection to the perimeter of your property, alerting your team to suspicious activity in real time, and providing the critical context needed to build solid cases, Flock’s suite of technologies can significantly accelerate case resolution. 

Consider how a shoplifting incident would unfold with Flock's LPR and video cameras deployed at your storefront.

• Shoplifting incident occurs. Employees and customers witness a crime take place.
• Use Flock Safety Condor™ to verify the suspect and get the vehicle description. The human eye isn’t always reliable for identifying suspects. With live and recorded video, your team can accurately capture the criminal activity and gather initial evidence to identify the suspect.
• Use Flock Safety Falcon® and Vehicle Fingerprint® search to identify the suspect vehicle. Once the suspect is identified, your team can use LPR cameras to track the vehicle they used during the incident.
• Discover the suspect’s vehicle has been at 10 locations in the past 30 days. With a catalog of data at your fingertips, you uncover a pattern, suggesting that the crime was likely premeditated.
• Add suspect’s license plate to a Custom Hot List. By adding the vehicle to a Custom Hot List, your team ensures they will be notified immediately if the suspect returns.
• The AP/LP team is alerted that the vehicle has entered a store parking lot. Your team is alerted when the suspect vehicle is detected again, allowing them to monitor the situation closely.
• See the suspect shoplift again and add evidence to the case file. The suspect strikes again, adding more evidence to the case and confirming that this is part of a larger organized retail crime pattern.
• Notify law enforcement and hand over the complete case file. Armed with detailed evidence, your team provides law enforcement with everything they need to take action.
• The suspect is apprehended; learn the suspect is part of a broader ORC ring. Law enforcement apprehends the suspect, revealing they are part of a broader ORC ring, making a significant impact on retail crime in the area.

This scenario highlights just how advanced technology can help uncover critical evidence in an ORC case. Ready to create a tailored security plan for your storefronts? Connect with a Flock expert today to get started.