Article
Sep 30, 2026
How Businesses Can Prevent Refund and POS Fraud
How Businesses Can Prevent Refund and POS Fraud
Refunds are an everyday occurrence, but they also present a possible means of fraud if there is no proper surveillance of such transactions. Retail establishments, restaurants, convenience stores, supermarkets, and other businesses in America process thousands of POS transactions daily, which makes it impossible to monitor all the refunds, voids, discounts, or cash drawer openings manually.
There are many forms of POS fraud that can take place. Some of them include processing a fraudulent refund, applying an unauthorized discount, voiding a legitimate transaction, or accessing the cash drawer without any legitimate sale. Sometimes it is even possible for employees and customers to collaborate on such POS fraud.
For businesses focused on loss prevention, combining POS fraud prevention with video surveillance can provide greater visibility into suspicious transactions. Instead of reviewing transaction data alone, businesses can connect POS events with video footage to understand what actually happened at the register.
What Is POS and Refund Fraud?
POS fraud is defined as the manipulation of the point-of-sale systems for illicit gains. One common type of POS fraud is refund fraud; however, businesses should also be on guard for voids, discounts, no sales, and other abnormal register entries.
Examples include:
Processing refunds for merchandise that was never returned
Issuing unauthorized discounts to friends or customers
Voiding transactions after collecting payment
Opening the cash drawer without a legitimate transaction
Recording false returns
Changing quantities or prices
Giving merchandise away without properly recording the sale
Keeping cash from completed transactions
Using multiple small transactions to conceal suspicious activity
Not all unusual transactions indicate fraud. Employees have valid reasons to perform refunds or voids. The real problem facing organizations is how to recognize transactions that need further investigation.
Why Refund Fraud Can Be Difficult to Detect
Refund transactions can appear legitimate in a POS system.
For example, a POS report might show that an employee processed a $150 refund at 7:30 PM. The report confirms that the refund occurred, but it may not show whether:
A customer was actually present
Merchandise was returned
The employee inspected the merchandise
The correct refund procedure was followed
Cash was removed from the register
Another person was involved
This is where video surveillance can provide valuable context.
When POS transactions and surveillance footage are connected, loss prevention teams can review the activity surrounding a specific transaction instead of searching through hours of unrelated video.
Connect POS Data With Video Surveillance
One of the most useful strategies for POS fraud prevention is integrating transaction data with video surveillance.
When a refund, void, discount, or no-sale event occurs, the corresponding video can help show what happened at the checkout area.
For example:
POS event: $200 refund processed at 6:18 PM
Video: Checkout activity recorded at 6:18 PM
Review: Customer interaction, merchandise handling, employee actions, and register activity
This creates a clearer picture of the transaction.
This strategy could be an even more efficient one to implement for U.S. businesses with multiple retail stores. Instead of having to search the footage of each store by hand, management or loss-prevention staff could narrow their focus down to specific transaction events.
Monitor High-Risk POS Transactions
Not every transaction carries the same level of risk. Businesses can establish monitoring rules around POS events that may require additional review.
Refunds
Companies could also watch out for refunds that occur too often, have large amounts of money involved, or do not follow a predictable pattern.
Voids
Voided transactions can occur for legitimate reasons, but frequent or unusual void activity may warrant investigation.
No-Sale Transactions
A no-sale event opens the cash drawer without recording a completed sale. There can be legitimate reasons for this, but repeated unexplained drawer openings can become a loss-prevention concern.
Discounts
Unauthorized discounts can directly reduce revenue. Businesses can monitor unusual discount activity and compare it with employee policies and customer interactions.
Cash Transactions
Cash transactions generate more opportunities to manipulate the business transaction or steal from the business. Video proof could help businesses analyze their cash registers.
Watch for Employee Sweethearting
Sweethearting is a form of retail theft in which an employee provides unauthorized discounts, free merchandise, or improperly processed transactions to a friend, family member, or another customer.
For example, an employee might scan only some of the products in a customer's cart while allowing additional merchandise to leave the store without payment.
Traditional POS reports may not immediately reveal what happened. The transaction may simply appear smaller than expected.
Video analytics and POS monitoring can help businesses compare register activity with what is happening physically at the checkout counter.
This can make employee theft prevention more data-driven and help loss prevention teams investigate suspicious patterns.
Use AI to Identify Suspicious Activity
Reviewing every transaction manually is not practical for a busy retail operation.
AI-powered video analytics can help businesses identify activity that deserves additional attention. Instead of requiring managers to continuously watch camera feeds, intelligent monitoring can help surface specific events or behaviors.
Businesses may choose to monitor:
Frequent refunds
High-value refunds
Repeated voids
Unusual discount activity
No-sale cash drawer openings
Potential sweethearting
Suspicious checkout behavior
Transactions occurring outside expected patterns
AI should be viewed as a tool for prioritizing investigations rather than automatically determining that fraud has occurred.
Human review remains important because unusual activity can have legitimate explanations.
Create Clear Refund and POS Policies
Technology is only one part of an effective loss prevention strategy.
Businesses should establish clear policies explaining when employees can:
Process refunds
Apply discounts
Void transactions
Open cash drawers
Override prices
Accept returns
Approve high-value transactions
Higher-value refunds or unusual transactions can require manager approval depending on the business's internal procedures.
Employees should also receive regular training so they understand both the correct process and the consequences of violating company policies.
Conduct Regular POS Audits
Regular transaction reviews can help businesses identify patterns before losses become significant.
Loss prevention teams can analyze activity by:
Employee
Store location
Register
Shift
Transaction type
Refund amount
Void frequency
Discount frequency
Time of day
For example, if one register consistently records more refunds than other registers, management can investigate the reason.
Likewise, repeated no-sale events during a particular shift may justify additional review.
Combining these transaction patterns with video evidence can provide more context than relying on POS reports alone.
Protect Multiple Business Locations
Multi-location businesses face an additional challenge because management cannot physically monitor every store at all times.
A centralized monitoring strategy can help businesses maintain visibility across locations while allowing loss prevention teams to focus on events that require attention.
This is particularly useful for:
Retail chains
Convenience stores
Grocery stores
Restaurants
Gas stations
Pharmacies
Franchise businesses
Other multi-location operations
Cloud-based video access, centralized alerts, and POS-linked surveillance can help management investigate incidents without being physically present at every location.
Build a Layered POS Fraud Prevention Strategy
The strongest approach is not based on a single security tool. Businesses can combine multiple controls to reduce opportunities for fraud.
A practical strategy includes:
Clear refund and return policies
Employee POS training
Manager approval for high-risk transactions
Regular POS audits
Monitoring refunds, voids, discounts, and no-sales
POS-integrated video surveillance
AI-powered activity detection
Human verification of suspicious events
Centralized monitoring for multiple locations
Regular review of recurring transaction patterns
This layered approach can help businesses move from reacting to losses after they happen toward identifying suspicious activity earlier.
How Survill Helps Prevent POS Fraud
Survill is a combination of AI-based video surveillance, intelligent point-of-sale, real-time monitoring, and manual verification to detect suspicious behavior near business establishments.
By connecting POS events with relevant surveillance footage, businesses can review transactions such as refunds, voids, discounts, and no-sale events alongside the activity taking place at the register.
This can help loss prevention teams investigate incidents faster, identify unusual transaction patterns, and maintain greater visibility across multiple business locations.
For businesses looking to strengthen their POS fraud prevention strategy, combining transaction intelligence with video surveillance can provide an additional layer of protection beyond traditional security cameras and POS reports.
Conclusion
Refund and POS fraud can cause substantial losses where there is no insight into what goes on at the checkout area. While the POS will give an indication of the refund, void, discount or cash drawer operation, it does not tell the story behind the transaction; the camera footage does.
A company can enhance its loss prevention program through proper policy formation, staff training, transaction verification, POS monitoring, AI-driven analysis, and coordinated video surveillance.
For U.S. businesses managing one location or multiple stores, Survill provides AI-powered monitoring and POS-linked surveillance designed to help identify suspicious activity, investigate high-risk transactions, and improve visibility across business operations.