Loss Prevention Strategies for Retailers

3 Best Ways to Positively Impact Your Bottom Line

Implementing the right loss prevention strategy for your retail business is as crucial now than it was ever before. For many retailers, both large and small, inventory shrinkage continues to affect the bottom line more and more significantly, which unfortunately has led to some businesses having to close their doors. Ultimately, the answer to this problem lies in proper loss prevention strategies, but the ambiguity of finding the right one for your business has led many retailers down a rabbit hole of asset protection solutions that simply don’t deliver.

We will cover some of the best ways to identify the right strategies for your business. First let’s look at why inventory shrinkage is such a problem for retailers everywhere.

How Inventory Shrinkage Impacts Retailers’ Bottom Line

Inventory shrinkage is the amount of inventory that is lost by a retailer due to external or internal causes, whether that’s theft, merchandise damage, or miscounts.

Inventory shrinkage is largely unavoidable, at least to some extent. The National Retail Federation reported that, on average, retailers lost 1.6% in sales due to shrinkage in 2022. Even the most vigilant shop owners can’t account for every situation where asset loss occurs, but that doesn’t mean the margin by which it happens can’t be reduced. Especially as it relates to theft and organized retail crime, there are many different methods retailers can use to mitigate the impact shrink has on their bottom line.

Alongside theft, loss prevention strategies can also benefit other operational areas. At the end of the day, that means retailers will be increasing the return they get from their sales efforts, all while limiting how much is lost in the process.

Retail Loss Prevention – Indispensable Strategies to Incorporate

While there are many different methods for strengthening your loss prevention efforts, there are a few strategies that make up the backbone of asset protection.

These strategies include video surveillance, point-of-sale integration, and employee training.
 

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The New Eyes of Retail:
How Facial Recognition Is Making Stores Safer

By the D&D Daily staff

Retailers facing rising incidents of theft and in-store violence are turning to a new layer of defense: facial recognition technology. Once seen as futuristic, it’s now quietly becoming one of the most effective tools in preventing repeat offenses, identifying threats, and protecting employees and customers alike.

Unlike traditional cameras that simply record footage, modern facial recognition systems analyze it in real time — matching faces to known offenders or watch lists with remarkable speed and accuracy. Advanced AI models can identify individuals even when lighting is poor or disguises are used, achieving precision rates that far surpass human observation. For loss prevention teams, that means quicker alerts, stronger investigations, and fewer costly mistakes.

The technology’s role in violence prevention is gaining just as much attention. When a person previously involved in a violent incident enters a store, the system can immediately notify managers or off-site monitoring teams. This early warning gives staff the opportunity to avoid confrontation and call for help before a situation escalates. In high-traffic environments where seconds matter, that kind of foresight can be invaluable.

Facial recognition is also being used to connect organized retail crime (ORC) activity across multiple stores and regions. By linking incidents that human investigators might miss, it helps retailers and law enforcement identify patterns, break up repeat crews, and share intelligence faster.

While implementation strategies vary by retailer, many are finding that integrating facial recognition with existing security infrastructure — access controls, panic buttons, and data-sharing platforms — creates a seamless, proactive approach to safety.

As ORC networks grow more coordinated and retail violence continues to rise, technology like facial recognition is proving that security no longer has to be reactive. For retailers, it offers something that’s been missing in recent years: the ability to see threats clearly — and act before they unfold.


AI Helps Retailers Stay Ahead of ORC
How AI is helping redefine retail security
Retail has always been a balancing act between safety, service and sales. Today, the stakes are higher than ever. Organized retail crime is on the rise, labor shortages have left fewer staff to cover the floor and customers expect shorter lines and smoother experiences.

Shrinkage alone accounted for more than $112 billion in losses in 2022, according to the National Retail Federation, with much of it tied to organized theft. Faced with these pressures, retailers are turning to technology in new ways. The story of modern retail video is no longer just about catching shoplifters on camera.

It’s about transforming retail security and store operations through cloud connectivity, AI-driven analytics and shared intelligence across locations. If Amazon Go’s “just walk out” model is a glimpse of what lies ahead, the real story is in the steady migration from heavy local hardware to flexible, open platforms that make AI practical today.

Centralizing the cloud stack

Today, more retailers are centralizing operations through cloud and hybrid systems that connect multiple locations into a single, manageable environment. A hybrid approach to retail security is especially valuable in areas with limited bandwidth, where some data stays on-site while the broader system remains connected to the cloud. This shift cuts down on hardware costs, makes scaling far easier and allows corporate IT teams to set consistent standards across the enterprise.

AI tools beyond theft

The first priority for any store is safety and security. Organized retail crime has grown into a professional, and often violent, enterprise. Thieves target high-value goods in bulk, from electronics to designer clothes and move them quickly into online marketplaces. Traditional cameras can only show what happened after the fact. AI-driven video analytics, tied into an open video platform, give retailers new ways to stay ahead.

Some stores are experimenting with device tracking using WiFi and Bluetooth signals. If a phone or other device was present during a prior theft, the system can flag its return and alert staff to keep a closer watch. Others are using smart cabinets that rely on anonymous facial recognition to grant or deny access to high-value merchandise.

GPS-enabled packaging and forensic spray markers add more layers of deterrence and evidence collection. Video analytics can also spot behaviors like loitering near exits, groups gathering or someone carrying tools that don’t belong in a store environment. securityjournalamericas.com


384% Surge in Shoplifting in Ottawa, Canada
'Enough is enough': Small business owners frustrated as shoplifting keeps rising

Retail theft up 384% since 2015, according to police reports

A set of reports going before Monday's meeting of the Ottawa Police Services Board show that shoplifting was up 384 per cent between 2015 and 2024, and that councillors and shop owners have serious concerns about safety issues and lost product.

In his first year running Axia Station downtown, Wang estimates he lost about $50,000 to retail theft. After investing around $30,000 in cameras and other loss-prevention technology, those losses dropped, Wang said — but he's still out roughly $20,000 a year.

Alta Vista Coun. Marty Carr, who also serves as vice-chair of the police board, told CBC News she’s heard the same concerns. Carr says Ottawa police data is showing a decline in clearance rates — the percentage of crimes that get solved — as they dropped to just 26 per cent last year.

“Unfortunately, we simply don’t have the resources right now, and there are no planned increases to the unit focused on retail theft, even in the new budget,” she said.

The rise in retail thefts, she added, could be a symptom of larger issues like poverty and food insecurity. cbc.ca


New Mexico Highest, Idaho Lowest Shoplifting Rates
Ohio’s shoplifting rate 21% below national average, new FBI-based report finds
Ohio’s shoplifting rate is significantly lower than the national average, according to a new study by Summit Defense using FBI Crime Data Explorer figures. The report found that Ohio recorded 298.69 shoplifting incidents per 100,000 residents in 2024 - 21% below the national average.

By contrast, New Mexico ranked the worst state for shoplifting, with 777.97 incidents per 100,000 residents, more than double the national rate. Western states including Oregon and Arizona followed, ranking second and third, respectively.

Idaho recorded the lowest shoplifting rate at 176.9 per 100,000 residents, 53% below the national average. Summit Defense’s Rabin Nabizadeh said the findings show how shoplifting continues to impact retailers and local economies.

The report urges state and local leaders to treat shoplifting as an economic and social issue requiring coordinated attention from law enforcement, lawmakers, and community groups. cbsaustin.com


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