CMOtech UK - Technology news for CMOs & marketing decision-makers
United Kingdom
Iceland cuts retail losses 80% with AI theft system

Iceland cuts retail losses 80% with AI theft system

Wed, 19th Aug 2026 (Today)
Sean Mitchell
SEAN MITCHELL Publisher

Iceland has partnered with SAI to cut retail losses and shrink by 80% across part of its store estate. The system has been used extensively in its worst-performing 100 stores.

The frozen food chain, which operates more than 1,000 UK stores, has deployed SAI's AI-based monitoring system across self-service and assisted checkouts, aisles and store entrances. The technology identifies missed scans, partial payments and walkouts at tills, as well as suspected concealment, in-store consumption and shelf theft on the shop floor.

The move comes as retailers continue to grapple with high levels of shoplifting. Iceland has previously put the annual cost of theft to its business at about GBP £20 million.

SAI's platform works with Iceland's existing camera network and sends alerts to staff handheld devices once suspicious activity is confirmed. Those alerts include images and footage showing the individual and their location in the store.

According to Iceland, the system has also reduced false alerts by 50%, helping drive a 90% staff response rate to crime alerts. Fewer false alarms have allowed employees to spend less time responding to incorrect notifications and more time on store operations and customers.

Andy Edwards, head of loss prevention and corporate audit at Iceland, set out the retailer's thinking behind the rollout. "We wanted to become the second choice on the High Street to steal from, and in order to do that, we needed to be more proactive. We needed a solution that could work alongside us, rather than behind us," he said.

Iceland had previously trialled other loss-prevention measures, including weighted shelves, as it looked for ways to deter theft without adding friction or labour across stores. It wanted a more proactive approach that could fit into day-to-day operations.

Store response

The system is designed to analyse live video feeds and issue alerts to colleagues within seconds when it detects suspicious behaviour. Iceland said the speed and accuracy of those alerts have been important in improving staff confidence and encouraging use of the system in stores where losses have been highest.

Edwards said the technology had made the biggest difference in the group's most problematic sites. "We've been delighted with the progress that we've made, and the journey that we've been on. SAI is playing a huge part in [improving] our worst 100 stores, which cost us about a third of our total shrink number," he said.

He added that the benefits extended beyond loss prevention. "The platform is not just helping us reduce shrink and making Iceland one of the hardest places to steal from on the High Street, it's also helping colleagues on the shopfloor from a productivity perspective. It's really accelerated us to being at the forefront of AI use in loss prevention," he said.

The deployment reflects a broader push by retailers to use artificial intelligence in physical stores to tackle theft while limiting disruption for paying customers. Many operators have been looking for alternatives to security measures that can slow transactions or require additional staffing.

Next steps

Iceland is now considering wider use of the system. Options under review include revisit alerts, which warn staff when previous offenders return to a store, and nearby store broadcast alerts, which send warnings and information to other branches.

The retailer is also exploring the use of facial recognition technology through the platform. That would be tied to in-aisle theft data and aimed at preventing repeat offenders from entering stores, while also supporting broader crime prevention and incident reporting.

SAI said its approach to facial recognition includes rules for deleting images of innocent shoppers in real time, allowing customers to review evidence if they are denied entry, and linking sanctions to the severity of previous offences. The issue remains sensitive for retailers because of privacy concerns and the need to show that any use of facial recognition is proportionate and controlled.

Som Sinha, founder and chief executive officer of SAI, described the partnership as part of a wider shift in store operations. "Iceland shares our belief that AI should make stores smarter, safer and easier to run. Together, we're proving that retailers can reduce shrink, empower colleagues and improve operational performance, all from a single platform," he said.

"We're excited to continue building on these results and helping shape the next generation of intelligent retail operations at Iceland," he added.