Do you want to outsmart those sly shoplifters and secure your store?
If so, this article is just for you! Join us as we uncover how to stop shoplifting with an innovative retail anti-theft solution to halt even the craftiest shoplifters.
How catastrophic is shoplifting in Canada?
According to a report from the Retail Council last year, shoplifting costs Canadian retailers up to $5 billion annually. This astounding number demonstrates how difficult it has become to stop shoplifting.
After the pandemic, the economy suffered greatly, resulting in inflation, well-paid job shortages, skyrocketing food prices, and increased food insecurity.
As a consequence, shoplifting has surged. The need to stop shoplifting has become more crucial than ever due to all these factors.
Globally, AI facial recognition software is being implemented to deter theft but is highly criticized for privacy violations.
In light of these circumstances, it becomes crucial to prioritize effective anti-theft solutions rather than relying solely on facial recognition technology.
In this article, we will embark on a journey to explore this cutting-edge retail anti-theft solution that promises to stop shoplifting and turn the tables on shoplifters.
From unraveling its unique features to understanding its impact on loss prevention, we’ll see how it safeguards your retail environment.
By comparing behavior AI with facial recognition technology, we will equip retailers with the knowledge to safeguard their stores and stop shoplifting.
This article will discuss Sirix’s ground-breaking Behavior AI Retail Anti-Theft Solution.
For over 15 years, Sirix has been at the forefront of enhancing security measures for numerous companies, with their comprehensive suite of remote site management and security services, including custom-made solutions for the retail sector.
Let’s get right into it.
Types of shoplifting in retail
Shoplifting, a significant issue in the retail industry, is the most complicated crime to stop.
According to the Canadian Retail Security Survey, over 38,000 shoplifting incidents were reported nationwide in 2019.
Not to mention the $61.7 billion in retail shrink, representing goods that escaped from a warehouse or store without being paid for.
But criminals and employees have been known to steal from stores in various cunning ways, including:
- Taking and leaving : One of the fastest and boldest tactics shoplifters use is taking and leaving. They merely take the desired items and confidently exit the store without attempting to make a purchase.
- Concealment : Concealment is the most intuitive shoplifting strategy. Shoplifters conceal stolen goods in their clothing, bags, or other personal items, making it challenging for store employees to stop shoplifting.
- Booster bags : Shoplifters may use specially designed bags or lined clothing to facilitate theft. These booster bags have hidden compartments or foil-lined interiors that bypass store security measures, such as RFID tags or metal detectors.
- Tag switching : This method involves shoplifters swapping price tags or packaging to deceive store personnel during checkout. By using lower-priced tags or tampering with labels, they attempt to pay less than the actual value of the merchandise.
- Group shoplifting : Organized retail crime (ORC) has become a growing concern in Canada. Criminal networks coordinate and execute theft and fraud activities, targeting various retail sectors such as clothing, electronics, and luxury goods.
- Sweethearting : This theft can occur through cooperation between employees and customers. It involves deliberately undercharging friends, family, or acquaintances for items or purposefully failing to scan certain products, allowing them to leave the store without paying the total price.
How do retail stores suffer from shoplifting?
Shoplifting reduces the merchandise available in retail establishments for legitimate customers to purchase. Implementing strategies to stop shoplifting is crucial.
With less inventory, the retail sector has a smaller pool of products to cover production costs, make vendor payments, and fulfill other financial commitments.
What are safe-guarding methods to stop shoplifting?
Merchandise security is a top priority for retailers, and utilizing anti-shoplifting techniques may play a significant role in protecting valuable assets.
Retailers have been using many theft prevention techniques, like placing customer checkouts near the entrance or exit.
It deters potential shoplifters by increasing visibility and making it more difficult for them to leave unnoticed.
Placing mirrors and security cameras, or CCTVs, throughout the store also helps deter theft by creating a sense of constant surveillance. It increases the chances of catching shoplifters.
Another efficient way to discourage potential shoplifters and stop shoplifting is to post signs about the consequences of shoplifting.
These signs can inform customers about the fines or imprisonment they may face if caught stealing.
Employees in the retail industry should receive proper training in shoplifting prevention to help them understand how careful supervision can stop shoplifting.
It is also possible to improvise some sensor-equipped shoplifting devices, like RFID tags. However, these tags might be helpful for clothing and tools but not groceries!
Are theft protection techniques enough to stop shoplifting?
It is impossible to look for theft among customers and employees all the time. Below we have listed a few ways customers can very cunningly bypass security:
- Even though customer checkouts at the entrance or exit increase visibility, shoplifters still try to find other exits, like emergency or less monitored areas.
- Shoplifters can wear disguises, hooded clothing, or hats to obscure their identity from mirrors.
- If solid impulses of theft drive the shoplifters, they do not feel deterred by warning signs.
- Although it is essential to train staff in shoplifting prevention, their primary responsibility is to provide customer service.
- Serious injuries may also occasionally result from encounters between employees and suspicious customers.
- While RFID tags can be effective for tracking and securing certain types of merchandise, they may not be suitable for some products, especially perishable items like groceries.
Fear no more, retail store owners!
With a new cutting-edge retail anti-theft solution, we have got you covered.
Behaviour AI has taken over the retail industry in particular as the best defense against shoplifting!
Read on to learn how to strategically position cameras equipped with “Behavior AI” technology, a promising approach to stop shoplifting.
Discover how AI and analytics can be used to predict and stop shoplifting through the immediate identification of suspicious behavior.
The innovative retail anti-theft solution: An Overview
Retailers invest in various security measures to stop shoplifting, including surveillance cameras, inventory control systems, and trained loss prevention staff.
These efforts must be combined with robust technology, “Behavior AI,” to deter theft effectively. Behavior AI is a proactive measure against theft and crimes.
If you think of a baby who is about to cry, you will be able to understand it better.
You can tell if a baby is uncomfortable or agitated by observing its body language; occasionally, the face may turn red, and the body exhibits discomfort through excessive movement.
Similarly, Behavior AI employs cutting-edge algorithms to examine human behavior and spot suspicious activity, enabling prompt intervention and crime prevention.
Whether dealing with robberies, aggressive people, employee theft, or electronic crime, every retailer can protect their profits and stop shoplifting by proactively ensuring they have the best protective strategies.
How does the novel retail theft prevention system operate?
The Retail AI software can quickly identify suspicious activity and alert the operators at Sirix’s Security Operations Center for real-time human validation.
Its sole objective is to identify theft by analyzing millions of suspicious gestures associated with theft. After being trained with vast data, the algorithm is incredibly proficient at identifying thefts.
What does retail AI software analyze?
This retail AI software not only helps to stop shoplifting but also goes beyond the basic functionality of facial recognition by analyzing a range of human behavioral aspects, including movement patterns, gestures, and actions.
This tool gives extensive insights and actionable information before the theft occurs.
Unlike facial recognition technologies, behavior AI analyzes behavioral patterns and actions rather than identifying specific individuals.
This approach alleviates privacy concerns which is the most significant advantage of implementing this system.
What kind of suspicious behavior does the camera equipped with AI behavior capture?
Utilizing the strength of AI and analytics to identify suspicious behaviors, behavior AI is an intriguing and ground-breaking technology. It is based solely on suspicious gestures.
Its primary purpose is to identify instances of theft by analyzing the infinite number of behavioral cues associated with this crime.
Three types of gestures are recognized by the retail anti-theft software:
- Shoplifting gestures (which will generate an alarm)
- Normal gestures (which should not generate an alarm)
- Other gestures (which rarely generate alarms)
1. SHOPLIFTING GESTURES
Dissimulation in backpacks and handbags
When the customer places the item in a backpack, handbag, or purse, an alert is set off to the remote monitoring center.
When a canvas bag is difficult to distinguish from a shopping bag, an alert is generated.
Upper body dissimulation
An alarm is also triggered when a customer puts an item in his coat/jacket (inside or outside pocket).
Lower body dissimulation
If the customer places an item in his trousers / skirt / dress (front or back pocket or hand inside clothes), an alarm is triggered.
On-site consumption
An alert is generated when the customer consumes items in the store.
In the stroller
An alert is generated when the customer interacts with a stroller. An item can be hidden inside the baby compartment, under the stroller, or in a bag attached to the stroller.
Other behaviors that generate alarms
Alerts are generated when an algorithm finds certain behaviors to be sufficiently obvious or clearly theft-related, helping to stop shoplifting effectively.
These include actions such as repeatedly taking items, frequently glancing to the sides, having both hands on the shelves, carrying multiple bags, and so on.
2. NORMAL GESTURES
Interacting with the product
The following gestures should not generate an alert:
- An item is picked up by the customer.
- An item is removed from the shelf.
- An item is touched without being removed from the shelf.
- An item is put back on the shelf by the customer.
Product in normal bag
When the customer places the item in a normal bag, an alert is not sent to the remote monitoring center.
The retail store management, as part of their strategy to stop shoplifting, can pre-establish that the aforementioned bags are intended for shopping and will not set off an alarm.
Other normal gestures
A customer walks in the aisle, talks with another individual, without product interaction.
That kind of gesture is not supposed to generate an alert.
3. OTHER GESTURES
Employee work
A store employee is responsible for cleaning, taking items out of boxes, placing them on the shelves, and other duties, all crucial tasks in creating a conducive retail environment to stop shoplifting.
The algorithm is meant to identify them based on their appearance (uniform), the items they handle (boxes, carts, etc.), and their distinct gestures from those of the customers.
Therefore, they should not generate alarms.
However, in rare cases, an alert can be generated if the employee is not wearing a uniform and the gesture strongly resembles a theft gesture.
Customer interacting with personal belongings
What happens if a customer takes in / out or puts away a personal item (wallet, phone, shopping list, etc.)?
If the object is challenging to identify or if the customer is interacting with products in the shelves simultaneously, the algorithm may generate an alert for this type of gesture.
How does Sirix’s anti-theft solution stop a shoplifter: A step-by-step example
After the strategic placement of the cameras (which we will discuss further in this blog), the retail anti-theft solution is ready to capture live video footage and identify the suspicious behavior through its robust capabilities.
Let us show you exactly how it works with the help of a real-life example:
Step 1: A drugstore camera equipped with behavior AI catches an individual putting a perfume bottle in their coat pocket.
Step 2: A video alarm sounds at one of the operators’ stations at Sirix Security Operations Center.
Step 3: Trained operators utilize their expertise to identify suspicious activities by looking at the live video feed.
Step 4: If the shoplifting gesture is confirmed, the operator pushes a button to send a message over the store’s speakers to alert staff regarding the suspicious activity.
The message will be a code giving accurate information about the potential shoplifting incident.
Example of the message broadcasted over the store’s speakers: “Attention store employees, code blue 25. I repeat, code blue 25.”
The codes are discussed between the retail store management and Sirix before implementing the new AI solution. Each store’s codes are easily accessible to Sirix’s operators and are part of the pre-established SOP.
Likewise, all new store employees should be informed about the codes when hired.
In this specific case, the code means that a person in aisle 25 has been seen putting items in their coat pocket.
Step 5: As a result of the broadcasted message, a store employee goes and brings this person a basket and asks them if they need help, hence discreetly letting the individual know they have been caught red-handed and stopping the crime before any damage is done.
Step 6: A thorough report of the incident is made by the remote monitoring center.
Comparing behavior AI and facial recognition technology
| Factors | Behavior AI | Facial recognition technology |
| Definition | Behavior AI analyzes and interprets patterns of human behavior, such as movement, gestures, and actions. | Facial Recognition Technology uses biometric data from facial features to identify and authenticate individuals. |
| Purpose | Behavior AI detects and identifies abnormal behavior or suspicious activities, such as shoplifting, trespassing, or unusual crowd behavior. It focuses on analyzing actions rather than individual identification. | Facial Recognition Technology is primarily used for the identification and verification of individuals. It can be applied in security systems, access control, surveillance, or law enforcement to match faces against a database. |
| Accuracy | The accuracy of Behavior AI depends on the complexity of the behavior being analyzed. It may have limitations in identifying subtle or nuanced behaviors accurately. | Facial Recognition Technology has improved significantly and can achieve high accuracy, especially with high-quality images or video footage. |
| Privacy concerns | Behavior AI analyzes patterns rather than individual identities, which can help address privacy concerns. | Facial Recognition Technology raises significant privacy concerns due to its ability to identify individuals. Concerns about consent, data security, and the potential for mass surveillance exist. Some jurisdictions have introduced regulations to address these concerns. |
| Use cases | Behavior AI can be used in various scenarios, such as retail loss prevention, crowd management, public safety, and innovative city applications. It helps identify abnormal or potentially dangerous behaviors. | Facial Recognition Technology finds applications in security systems, access control, airport screenings, law enforcement investigations, and customer identification in various industries |
After carefully assessing the advantages of behavior AI and facial recognition systems, we have determined that behavior AI emerges as the innovative and privacy-conscious solution.
This technology not only effectively helps to stop shoplifting, but it also guarantees a sense of security and tranquility.
Strategies for implementing the innovative behavior AI retail anti-theft solution and catching the most shoplifting gestures
Strategically placing cameras in your store, along with the utilization of our retail anti-theft solution, is an effective way to stop shoplifting.
By placing cameras at elevated positions and in strategic locations, you can easily monitor the entire store and catch any suspicious activity using the advanced features of our retail anti-theft solution.
1. Where to place the security cameras
When it comes to detecting suspicious activities like shoplifting, the viewing angle is a key factor to consider.
It is important to position the cameras at the proper angle and location to capture the action that needs to be monitored, especially to stop shoplifting.
The following are two examples of optimal and non-optimal viewing angles.
Following are some strategic positions that may enhance the monitoring of suspicious behavior:
Between the aisles
Placing cameras on the sales floor seamlessly monitors and records aisles. It detects irregular behavior before shoplifting takes place.
Placing the camera in the center allows for a balanced and wide-angle view of the entire aisle, minimizing blind spots and maximizing the camera’s effectiveness.
Indeed, this positioning enables the camera to capture clear and comprehensive footage, providing better visibility of activities, shoplifting, and incidents that may occur within the aisle.
Finally, placing the security camera in the center ensures that the camera’s field of view covers both sides of the aisle equally, enhancing security and enabling prompt response to any suspicious or unauthorized activities.
Distance range of detection
The camera can detect objects or individuals within a 1,5 to 12 meters of distance range. The detection rate of the camera signifies its ability to identify and sense motion or movement within that specified distance.
With a range of 1,5 to 12 meters, the camera can effectively monitor and trigger alarms to the monitoring center about any activities or events occurring within this defined perimeter.
This detection range is crucial in ensuring that potential threats or suspicious behavior within the camera’s field of view can be promptly recognized and appropriate actions taken to maintain security and safety.
Ideal height for camera placement
Optimal camera placement within the height range of 1.8 to 3.5 meters can help deter and prevent retail theft effectively.
Placing the cameras at this height range ensures they are positioned at eye level or slightly above, enabling cameras to capture crucial details such as faces, activities, and merchandise.
2. Bad practices of camera placement
- It is advisable to avoid using security cameras with an excessively wide field of view as they can compromise image analysis when there are too many people (above 30) within the camera’s frame, causing too many blind spots.
- Although the optimal detection range for the camera height placement is between 1,8 and 3,5 meters, it is still acceptable to place it between 3,5 and 7 meters high. However, the detection rate will lower if the camera is placed above 7 meters high.
And what about image quality?
The retail anti-theft solution is so effective that it can still identify shoplifting even in low-resolution images if the gesture is clear.
Needless to say, the higher the resolution, the more effectively the AI operates.
How to avoid lower detection rate in cameras:
- Avoid using cameras with a vast field of view as they generate blind spots.
- Do not point cameras directly at shelves or blocks from the sides as it creates dead angles.
A tip for retail store owners
Remember that the monitoring center will alert the store’s security installer and possibly the store management if a camera is not installed correctly, through regular audits.
So, it’s crucial to examine these audits to confirm all devices are placed correctly, and make any needed changes.
3. Strategic lighting for camera placement to stop shoplifting
Lighting is an often-neglected necessity. Remember that even the best cameras will have little effect if pointed into dim areas or darkness.
Retailers should ensure that any space where a security camera is pointed is well-lit.
The role of remote video monitoring in implementing retail anti-theft solution
Effective anti-theft retail solution implementation depends heavily on remote video monitoring.
Reviewing and analyzing the alarms that the retail anti-theft solution generates requires a dependable monitoring center. Without it, the entire procedure is rendered useless.
Now, all of your inquiries about remote video monitoring will be addressed in this section.
Why Remote Video Monitoring?
Remote Video Monitoring allows an operator to respond in real-time to video, sensor, access control, or other networked device alarms, transforming your video management system into a proactive retail security solution.
Indeed, this was demonstrated earlier in this article in the step-by-step example of how Sirix’s Anti-Theft Solution Stops a Shoplifter.
Is it essential to choose a reputable remote video monitoring center?
As mentioned in this blog, retail theft and break-ins are rising. Valuable goods must be safeguarded.
It has been established that remote video surveillance is the most effective method for lowering theft rates and discouraging criminal activity.
Therefore, the wise thing to do to increase the security of your business is to rely on remote retail monitoring by a reputable security operation center.
If you need help searching for the best remote video monitoring solution, please check out our informative blog on Canada’s top 10 live video monitoring companies.
One advantage of remote video monitoring for retail theft is that it can prevent theft and put an end to a crime before any harm is done.
Additionally, it enables operators to check alarms before calling the police or bothering the owner each time one goes off. An operator verifies it first and then responds following the established SOP.
What does an excellent remote video monitoring center do?
- An excellent remote video monitoring company will provide the best information to make a strategic camera placement plan to protect your business perimeter and assets.
- In addition, reputable remote monitoring centers employ highly skilled security operators who work around the clock.
- Multiple operators work simultaneously to ensure that all alarms are responded to immediately. These operators have been trained to deliver precise and articulate voice interventions while adhering to established SOPs.
- The retail sector’s video footage can be conveniently and securely kept for a long time through cloud storage. Proper retention of these videos is crucial for incident investigations and documentation.
If you want to unlock the magic of remote video monitoring, feel free to check out our Complete guide to remote video monitoring to gauge the full benefits of real-time monitoring.
Pros and cons of Retail Anti-Theft Solution
| PROS | CONS |
| The behavior AI system can detect and stop shoplifting. | Implementing an AI system can involve significant upfront costs, including hardware, software, and installation expenses. |
| The AI system offers real-time monitoring, providing real-time information about any potential threats or unusual behavior. | The AI system relies on a stable power supply and a reliable network connection to function effectively, and any disruptions may affect its performance. |
| It can recognize patterns and alert the relevant authorities for immediate action. | There is a possibility of false alarms triggered by the AI system, which may cause unnecessary disruption. |
| Using this AI system involves capturing suspicious behavior, it doesn’t raise concerns about privacy issues | The AI system requires regular maintenance and monitoring to ensure optimal performance, which may incur additional costs and effort. |
| The AI system can be integrated with existing security measures, such as CCTV cameras | |
| The AI system can analyze data collected over time, providing insights into patterns, vulnerabilities, or areas of improvement. |
How is the government preventing shoplifting in the retail sector?
In a meeting, the Ontario Retail Crime Committee came up with the following strategies to reduce thefts and stop shoplifting:
Facilitation of proper tools and resources for retailers
- Enroll the retailers in a shoplifting class to gain valuable insights and practical techniques for preventing shoplifting in your retail business.
- Launch a shoplifting program that offers comprehensive training and resources to equip retailers with practical strategies for preventing shoplifting.
- Explore our shoplifting prevention course to educate retailers on practical measures and best practices to combat theft.
- Enhance your knowledge and skills in shoplifting prevention with our online shoplifting prevention course, accessible from anywhere.
- To continuously improve your prevention strategies and stay one step ahead of thieves, educate the retail sector about cutting-edge shoplifting techniques.
Enforcement of laws for violent and prolific retail criminals
- Shoplifters will face legal consequences as shoplifting is a crime punishable by law, helping deter potential theft incidents
- Dealing with shoplifting teams requires collaboration with law enforcement and implementing targeted strategies to disrupt their operations.
Low-cost tips to stop shoplifting:
Finally, here are a few actionable suggestions to help you stop shoplifting in your establishment.
- Equip your staff with the necessary skills and knowledge through a comprehensive shoplifting prevention training program.
- Prevent shoplifting by implementing security measures, employee training, and vigilant customer service practices.
- Recognize signs of shoplifting, such as excessive loitering or suspicious behavior, to prevent theft.
- Familiarize yourself, as the store owner or manager, with common shoplifting tactics like distraction techniques or bag-switching to enhance prevention efforts.
- Establish a clear shoplifting policy for the staff and exhibit zero tolerance for theft or helping to facilitate shoplifting.
- Teach your staff how to respond to various shoplifting-related situations, such as when a customer is accused and starts acting rudely or violently.
FAQs
How do I stop shoplifting?
You can try to stop shoplifting in a small store by installing mirrors and cameras. Convex security mirrors are ideal for security applications in retail and commercial spaces due to their wide field of view.
Be on the lookout for common thefts like concealments. Asking customers to leave their bags at a designated location outside the store is one way to prevent such picking up of items and stuffing into bags and strollers.
Shoplifting can be discouraged by warning signs of CCTV surveillance also.
However, installing AI cameras linked to a remote video monitoring center in massive department stores and large malls is common for peace of mind and proactive shoplifting surveillance.
What do shoplifters steal most?
Typically, expensive or in-demand items are most frequently stolen from stores. Addicts who shoplift can take almost anything, but jewelry, office supplies, and sweets are relatively simple to sneak into pockets.
What time of day is shoplifting most common?
Early in the day, during lunch, and just before closing are the target times of shoplifters, particularly on Fridays or holidays.
What are common shoplifting tactics?
Some common tactics shoplifters use may be:
- wearing loose clothing to conceal stolen goods
- picking up expensive items and replacing them
- using a “booster” belt with a series of hooks where stolen goods are hung.
Is it possible to completely stop theft and shoplifting in retail stores?
100% shoplifting prevention is impossible. But watch out for internal shoplifters who steal and aid outside shoplifters. Additionally, be on the lookout for customers that come occasionally.
Be exceptionally watchful around holidays like Easter and Christmas. Installing CCTV cameras with cutting-edge AI is another good option.
How to prevent shoplifting in supermarkets?
The following measures can be used to stop shoplifting in supermarkets.
- It is preferable to place CCTV cameras in strategic areas of the supermarket so that no nook goes unmonitored.
- A significant factor in preventing shoplifting is proper lighting. Typically, thieves try to steal items in an area that is not well-lit.
- Trained and trusted employees can also be a great asset in preventing shoplifting.
- To prevent confusion, hustle, and bustle, and to maintain control, keep the supermarket clean and organized by product category.
How to spot a shoplifter?
Here are some of the signs of shoplifting to watch out for:
- A customer constantly looking around or acting nervously.
- wearing layers of bulky clothing that can be used to hide stolen goods.
- frequently carrying a lot of merchandise into changing rooms.
- carrying excessive bags for their shopping needs, such as backpacks, purses, or large bags.
- excessive time spent shopping but not making any purchases.
- Frequently entering blind spots or places where surveillance is weak.
How does Walmart stop shoplifting?
Walmart uses a combination of security cameras and monitoring systems to deter and detect shoplifting. These cameras are placed strategically throughout the store to capture different areas and angles.
Walmart often employs security guards who patrol the store, watching for suspicious behavior. Some security personnel may dress in plain clothes to blend in with customers.
Walmart and other retailers use EAS systems, which include tags or labels attached to merchandise. These tags trigger an alarm if not deactivated or removed at the point of sale.
Displaying signs that indicate the presence of security measures or warning against shoplifting can act as a deterrent.
Can I sue a store for accusing me of shoplifting?
The possibility of suing a store for wrongly accusing you of shoplifting depends on the specific circumstances, local laws, and available evidence.
In general, you have the right to file a lawsuit if you feel you were wrongfully accused, unlawfully detained, or suffered harm as a result of the store’s negligence.
The best guidance for your circumstances can be obtained by speaking with a lawyer who focuses on these types of cases.
Can employees stop shoplifters?
Employees can be crucial in stopping shoplifters, but they should follow the store’s policies and guidelines to ensure their safety and legal compliance.
Typically, employees are trained to observe suspicious behavior, report it to the appropriate personnel, and avoid directly confronting suspected shoplifters unless specifically instructed to do so.
Employees must focus on customer service and assist legitimate shoppers while leaving the apprehension of alleged shoplifters to trained security personnel or law enforcement.
Conclusion
In conclusion, Sirix innovative retail anti-theft solution has proven to be a game-changer in stopping shoplifting. Businesses can effectively deter and minimize shoplifting incidents.
Retailers must recognize the significance of investing in robust anti-theft solutions to safeguard their establishments and ensure the safety of their valued customers.
By taking these steps, retailers can create a secure shopping environment, enhance profitability, and foster trust in their businesses.
Together, let us embrace the power of innovative solutions and work towards a future with reduced theft and increased peace of mind for all. Let us know how you combat shoplifting in the comments.
