With the cost of retail crime rising by 40% in Australia between 2022 and 2024, loss prevention has become an urgent problem for Australian retailers.

The answer lies in working smarter, not harder when it comes to security, and incorporating AI technology to detect and prevent stock loss in real time. 

Discover what smart retailers are doing to minimise theft and protect profit margins. 

• How traditional loss prevention tools work and where they fall short
• Technology solutions that actually prevent retail loss
• How AI is revolutionising loss prevention
• Who should be using AI loss prevention technology
• How to implement an effective loss prevention strategy
• Protect your retail business with proven loss prevention technology

Australia’s retail crime wave: What’s causing a spike in stock loss?

Industry insiders say they have never seen theft at worse levels than in 2025 and 2026. 

As reported by the Australian Financial Review, retail theft in Australia has shifted from opportunistic shoplifter behaviour to more organised and coordinated activity. Major retailers say the increase is driven by organised crime groups targeting multiple stores with a clear goal of securing high-value goods.

There has also been a rise in aggressive behaviour towards retail staff, with more incidents involving threats and violence. Economic pressure and changing public sentiment have contributed to this shift, making in-store environments more challenging for frontline workers.

In some areas, slow reporting processes and limited enforcement have reduced the perceived risk for offenders. This has allowed the issue of stock loss to grow, placing more pressure on retailers to adopt solutions that prevent incidents in real time.

There is also the issue of internal fraud, where staff are responsible for pocketing goods and cash or issuing false refunds. 

How traditional loss prevention tools work and where they fall short

Most retail environments still depend on CCTV, security tags, mirrors and in-store staff monitoring. Unfortunately, these tools come with clear limitations, particularly because thieves have adapted to avoid them or conceal their faces so they can’t be identified. 

Traditional CCTV systems record footage, but they rely on someone reviewing it after an incident. This delays response and limits the ability to intervene in real time, and if the perpetrator’s face can’t be recognised, the footage is basically useless. 

Security tags and alarms can act as a deterrent, but they are often bypassed or ignored, particularly by repeat offenders who have figured out work-arounds and know how to make a quick getaway.

Staff are expected to monitor behaviour while also serving customers, managing stock and handling transactions. This creates gaps in visibility, especially during busy periods, as they simply can’t be everywhere.

These systems create the appearance of control, but they don’t consistently stop theft as it happens. The result is ongoing loss, increased pressure on teams and limited insight into where stock loss blind spots really are.

Technology solutions that actually prevent retail loss

Effective loss prevention technology focuses on stopping people in the act and getting a far more detailed look at what is going on. 

AI-powered loss prevention systems can analyse live video feeds and identify behaviours associated with theft, such as concealment, unusual movement patterns or repeated visits to high-risk areas.

Instead of waiting for an incident to occur, these systems:

• Monitor activity continuously across any store
• Detect suspicious behaviour in real time
• Trigger alerts so staff can respond immediately
• Capture more structured data to identify trends and repeat offenders
• Are advanced enough to catch more organised theft attempts, for example by staff members themselves

How AI is revolutionising loss prevention

AI introduces a layer of intelligence that traditional systems cannot provide. It does not rely on attention, memory or availability, which are common limitations for in-store staff and security teams.

In a retail environment, AI loss prevention technology helps by:

• Consistently monitoring all areas of the store
• Immediately identifying high-risk behaviour
• Reducing reliance on manual oversight
• Providing better data of where and how losses occur

Over time, this information also supports better decision-making, allowing retailers to adjust store layouts, staffing and processes based on real patterns rather than assumptions.

Who should be using AI loss prevention technology

Retail shrinkage encompasses shoplifting, internal fraud and errors, and costs the Australian retail sector a staggering $7.79 billion annually. Interestingly, almost as much theft comes from inside the business, with internal fraud accounting for around 40% of losses. 

AI-driven loss prevention is particularly valuable to prevent this for:

• Multi-location retail operators
• High-footfall stores
• Retailers experiencing repeat theft incidents
• Businesses with limited staff coverage
• Shop floors that do not always have managers present

For these operators, the ability to monitor continuously and respond quickly can significantly reduce losses and improve overall store performance.

How to implement an effective loss prevention strategy

A good loss prevention strategy combines technology with clear processes and staff awareness. The goal is to create a system that detects, alerts and supports action in real time.

Smokeshield’s approach uses specialised AI agents designed to focus on different types of risk within a retail environment.

• The Theft Agent identifies behaviours linked to shoplifting, such as concealment or suspicious movement patterns.
• The Loss Agent instantly alerts retailers about losses that happen at checkout, including fraudulent refunds issued by staff and self-checkout non-scans from customers. 

When introduced in combination, these tools provide continuous oversight and actionable alerts, allowing staff to respond before losses occur. The good news is they can easily be integrated with existing CCTV systems.

Protect your retail business with proven loss prevention technology

Stopping theft before or as it happens is far more effective than trying to recover lost goods or serve justice after a crime has been committed. 

AI technology provides a practical way to achieve this, giving retailers the visibility and speed needed to respond in real time. With the right system in place, businesses can reduce theft, support their teams and regain control over store performance.