With the continued increase in Organized Retail Crime (ORC), retailers are beginning to rethink how video can be utilized across their operations.
The same systems designed to detect and investigate theft can also deliver valuable insights into customer traffic, employee training and store layout.
ORC stopped being petty theft a long time ago. Small groups now cross state lines, hit several stores in a day and resell high-demand goods like baby formula, cosmetics and electronics through online marketplaces and black-market channels.
The losses run into the billions annually.
The cost isn’t only merchandise. Incidents now regularly involve threats, weapons and assaults. Employees are traumatized, attrition climbs and stores close, which leaves whole neighborhoods underserved.
It doesn’t stop at the sales floor either. Cargo hijacking and warehouse infiltration put theft at every point of the supply chain.
Meanwhile, the teams responding to it are smaller than they used to be. Loss prevention, IT and operations are all being asked to do more with less; at the same moment incidents stopped respecting store boundaries.
A system that only produces evidence after a loss asks an already stretched team for more of its time. A system that can also provide information about how a store is running gives some of that time back.
The retailers making real progress against ORC are designed to address both.
Why fragmented video slows every investigation down
Most retail estates are a patchwork. Some stores have a modern VMS, others still have legacy DVRs, and a few sit somewhere in between as a result of a remodel or an acquisition.
“When customers are trying to take a hodgepodge video system and pull footage from multiple sources, it just doesn’t work very well,” says Grant Cowan.
“Searching across systems and piecing together a case takes time and slows the investigation.”
The lost time is the real cost. Investigators spend their hours gathering video instead of acting on it. Time-based search compounds the problem.
Scrubbing through footage by camera and clock, across weeks and hundreds of locations, is not a workable method when the group you’re chasing hit five stores in one day.
That’s why retail teams have started treating attribute search, by vehicle, behavior or object, as a baseline requirement rather than a nice-to-have. It’s the difference between an investigation that takes days and one that takes minutes.
None of it works if store staff can’t use the system
Technology only helps if the people closest to an incident can use it. A VMS must be simple enough that in-store staff will tag suspicious behavior or bookmark footage in the moment.
That is what gets it to a regional loss prevention team while it still matters. If tagging is a chore, it doesn’t happen, and the platform fills up with footage nobody flagged.
The same principle applies to how that information travels.
Cloud-connected platforms let teams share clips, bookmarks and suspect profiles across stores, or straight to law enforcement, in minutes, and build watchlists for faces, plates or behaviors that trigger alerts when the same pattern shows up somewhere else.
Retailers who pair that with trend analysis capture the behaviors, routes and tools used in past hits, so the red flags show up earlier next time.
Centralized video
Centralized video changes the clock. When a suspect or vehicle is identified at one store, teams anywhere in the country can be working from the same footage within 10 or 15 minutes, dissecting it, identifying vehicles and suspects, building the case together.
No waiting for video on a thumb drive. No uploading to a shared drive and hoping the right person finds it.
That same centralization is what makes analytics affordable. License plate recognition and facial matching can be layered over cameras a retailer already owns, which turns an older parking lot camera into a detection tool without a hardware refresh.
When a group is known to be using a red truck or a specific plate, that metadata goes into the system and stores are alerted in real time as the vehicle moves across regions.
Pair that with behavioral analytics such as loitering near emergency exits or circling a lot, and teams can intervene before a theft rather than document it afterward.
It also changes what prosecutors can do with the result. More states have passed ORC-specific legislation, and the line between a misdemeanor and a felony often comes down to whether incidents can be tied together across jurisdictions.
Cowan describes one such case. “The prosecutor told a retailer, ‘This isn’t something we can prosecute at a high level, unless you can tie it together as organized retail crime across jurisdictions.’ Using the VMS and metadata analytics, they identified the same people and vehicles hitting stores across multiple states. They packaged the evidence and elevated it to a felony-level prosecution.”
Beyond loss prevention
Everything described so far was built to fight ORC. Nothing about it is limited to ORC. Centralized access, metadata search and integration with the systems around it are general-purpose, and once they exist they answer operational questions as readily as investigative ones. Retailers are already doing this. The same video is being used for onboarding and training, for understanding traffic flow, for looking at how employees and customers actually interact and for judging whether a store layout performs the way it was designed to, without anyone getting on a plane.
In a lean organization, that drop in time-to-insight and travel cost isn’t a side benefit. It’s often the part that justifies the spend.
Integrations widen the return further. Point of Sale (POS) data tied to video flags suspicious transactions and aligns footage to exact purchase records.
Access control ties badge data to who entered a restricted area and when. Inventory data surfaces shrink trends and traces product-level losses back to specific incidents.
Each of those integrations earns its place on loss prevention alone. What none of them produces by itself is the picture you get when they’re joined.
Where retailers underestimate the effort
None of this is free of tradeoffs, and the retailers who get disappointing returns usually underestimated one of three things:
- Bandwidth – High-resolution and multi-sensor cameras generate substantial demand, and centralized viewing gets complicated quickly if the network design assumed otherwise
- AI tuning – Analytics need ongoing tuning, not just installation. Without it, false positives pile up and confidence erodes until people stop trusting the alerts. Skip that work and the returns never arrive
- Privacy – Retailers operating across multiple jurisdictions increasingly favor aggregated, algorithmic insight over identifiable video. It keeps the behavioral understanding while lowering regulatory exposure, and it is far easier to design in than to retrofit
There’s a structural choice underneath all three. A point solution does one job quickly: theft detection, people counting, access monitoring. Then it tends to sit on its own.
The alternative makes video the layer that connects everything else, which lets a retailer modernize in stages rather than all at once. That costs more in upfront planning and needs governance to keep integrations maintained.
Retailers running hundreds of stores tend to favor it anyway, because with mixed hardware and uneven network conditions, uniform deployment across an estate that size is rarely realistic.
What becomes table stakes next
Staged modernization only helps if you know what to build toward. Several capabilities that were differentiators two years ago are quickly becoming baseline: enterprise metadata search, privacy-aware analytics and the ability to share information beyond a store’s four walls.
Immediate collaboration with law enforcement is heading the same way, including faster clip sharing, compatibility with real-time crime centers and visibility across systems.
So is broader use of body-worn cameras and live situational awareness tools, which will make security technology more visible to customers than it has been.
What retailers should weigh most heavily is resilience: whether the system can adapt as threat patterns, regulations and operating models change.
Performance is the easy part to evaluate. Resilience is the part that decides how long the investment lasts.
What retailers are actually buying
Organized retail crime is what’s getting these projects funded, and it should be. The losses and the risk to store staff are real.
But the retailers getting the most out of this work are the ones who decided early on that they weren’t buying a loss prevention tool.
The video that tells you a layout isn’t performing, or that a new hire needs another week on the floor, is the same video that ties a license plate in one state to a group hitting stores in three others.
You build it for the bad day. It turns out it earns its keep on all the others.
This article was originally published in the October edition of Security Journal Americas. To read your FREE digital edition, click here.
