In this Tech Insight, we look at how retailers across the UK are deploying new technology to deter shoplifting, reduce abuse of staff plus gather better evidence, whilst retail crime hits record levels.
Why Retailers Are Acting Now
The British Retail Consortium’s Annual Crime Survey reports losses from customer theft reaching £2.2 billion in 2023/24 and over 20 million shoplifting incidents, while violence and abuse against retail workers rose to more than 2,000 incidents per day. Retailers simultaneously lifted spending on prevention to £1.8 billion, yet it seems that satisfaction with police response remains low, with 61% rating it “poor” or “very poor”. “Retail crime is spiralling out of control,” said BRC chief executive Helen Dickinson, calling for industry, government and police to act together.
Figures from the Institute of Customer Service (ICS) provide more service sector context. For example, 42 per cent of public‑facing workers reported abuse in the prior six months, up 19 per cent year on year. 37 per cent even said they had considered quitting, and over a quarter said they had taken sick leave, according to figures highlighted in national coverage of ICS’s “Service with Respect” campaign and open letter urging stronger legal protections for all service workers.
Bodycams On The Shop Floor
It may surprise many people to know that body‑worn video is now commonplace across parts of the high street. For example, Poundland originally reported an 11 per cent drop in violence after rolling out Motorola Solutions VT100 cameras, with footage managed via Motorola’s evidence platform and linked to CCTV. It should be noted here that Poundland has since been sold (by Pepco Group to Gordon Brothers’ Peach Bidco for £1 on 12 June 2025) and it’s not clear if it’s still using the cameras. Another popular high street name, H&M, is piloting bodycams in three UK stores to test impact on de‑escalation and incident reduction. Also, Tesco now uses bodycams for store and some delivery colleagues, activated when staff feel unsafe. EE even equips store teams with cameras that can stream incidents to monitoring teams. These measures are all intended both to act as visible deterrents and to strengthen evidence for police.
Facial Recognition Trials Move Into The Mainstream
Some chains are trialling facial recognition to identify repeat offenders linked to theft or abuse. For example, Sainsbury’s is running an eight‑week pilot with Facewatch in selected stores in London and Bath, where alerts are generated only when someone on a store‑defined watchlist enters. In terms of how effective it could be, Iceland has reported that its early use of Facewatch led to a 30 per cent reduction in violent incidents where deployed, and that it plans a further roll‑out of the technology later this year. Southern Co‑op and other retailers have used similar watchlist alerts for several years.
Retailers say that systems focus on known repeat offenders and that signage is used at trial sites. Sainsbury’s has framed the pilot as a staff‑safety measure in locations with high repeat offending. Iceland’s Richard Walker argued publicly that the technology helps trained store teams to make calm, proportionate interventions.
AI‑Enhanced CCTV And “Smarter” Monitoring
Beyond face matching, retailers are also now trialling AI‑assisted video analytics that compare what shoppers pick up with what is scanned, flagging likely non‑scans in real time. For example, Trigo Retail recently launched a computer‑vision loss‑prevention platform in the UK that tracks shopping behaviours without storing biometric identifiers, thereby aiming to provide targeted alerts rather than blanket monitoring. As Trigo co‑founder Daniel Gabay recently said, “The most effective retail security technology today isn’t about adding more barriers or locks, it’s about making existing infrastructure smarter”.
Security Hubs, Headsets And Digital Crime Reporting
Tesco has set up a 24/7 national Security Operations Centre in Daventry to analyse thousands of hours of CCTV, join up evidence and share intelligence with police. The supermarket says the hub monitors clusters of stores and operates year‑round.
In a different approach, Currys has opted to roll out VoCoVo headsets across stores so colleagues can call for support instantly and coordinate responses. It has also taken Auror’s crime‑reporting platform nationwide after a 12‑week trial identified 10 repeat offenders, led to three arrests, and prevented about £20,000 of theft. Currys also cites a 58 per cent year‑on‑year reduction in aggressive incidents during March–April. The company says incident logging is faster and more consistent, supporting police engagement.
The Home Secretary has publicly urged more UK retailers to use crime‑intelligence platforms like Auror and signalled support for broader data‑sharing with police where lawful and proportionate.
Fogging Devices And Smart Safes
Alongside analytics and reporting, several retailers are investing in fogging and misting systems that rapidly fill areas with disorienting fog during an incident, forensic marking to tag stolen goods for later recovery, and time‑delay stock safes for high‑value items. EE says these measures, combined with tracking tools for stolen devices, are reducing opportunities for smash‑and‑grab theft and improving staff safety.
Is The Technology Actually Working?
In terms of whether these hi-tech approaches to tackling crime are actually working, it seems that some deployments are reporting measurable impact. For example, Poundland’s reported 11 per cent reduction in violence post‑bodycams does appear to indicate a deterrent effect when incidents are recorded and evidence quality improves. Also, Currys’ 58 per cent drop in aggressive thefts during a focused period, along with identified repeat offenders and arrests, could suggest that intelligence‑led reporting can help direct police resources. However, results vary by store, offender behaviour can displace to nearby locations, and none of these tools replace visible policing.
What Privacy Groups Are Saying
Privacy advocates argue that live facial recognition in shops risks normalising biometric checks for everyday purchases and can harm people when errors occur. For example, Big Brother Watch has urged Sainsbury’s to stop its trial, calling the approach “deeply disproportionate and chilling”, and warning that it “turns shoppers into suspects”. The group also raises concerns about privately run watchlists, limited transparency, and the lack of robust redress when people are wrongly flagged.
Campaigners also point to documented cases and regulatory complaints in which customers were allegedly misidentified in stores using commercial facial recognition. In one case, a woman said she discovered she had been placed on a Facewatch watchlist after a dispute over low-value goods, prompting a complaint to the regulator about necessity and proportionality. Such incidents underline why rights groups want independent oversight, strict targeting to serious repeat offending, and clearer routes to challenge mistakes.
The Information Commissioner’s Office describes facial recognition in public-facing spaces as highly intrusive, and expects organisations to complete a Data Protection Impact Assessment for each deployment, show a strong lawful basis, and evidence that less intrusive methods would not achieve the aim. The regulator’s guidance also stresses governance around watchlists, meaningful human review of matches, recording and correcting false positives, careful data retention, and transparency with clear signage.
The Evolving Legal And Policy Picture
Ministers have pledged to create a standalone offence of assaulting a retail worker in the forthcoming Crime and Policing Bill, and signalled plans to remove perceived barriers to charging thefts under £200. Trade bodies are pressing for police to attend incidents more routinely, and for protections to extend to a wider group of public-facing roles. For retailers piloting facial recognition or AI video analytics, compliance is practical and specific, i.e. to set out a clear lawful basis and DPIA, evidence necessity and proportionality, display clear signage, apply tight retention periods with human review of matches, and provide straightforward routes for people to challenge mistakes.
Operational Reality For Businesses
Understandably, it seems that retailers are focused on what actually works in-store. For example, body cameras are known to deter aggression and produce evidence that can be used. Also, AI video systems can spot items that are not scanned and tighten loss prevention without adding physical barriers. Store headsets and digital crime reporting speed up responses and improve the quality of referrals to the police, and central security hubs connect patterns across regions and help investigations move faster.
It should be noted, however, that introducing these measures is not simply a case of just plug and play. It needs training for staff, clear procedures, and close working with local police so that evidence gathered in store is followed up.
Competitors, Customers And Others
With the use of this kind of tech by some retailers, competitors face a strategic question, i.e. if early adopters show clear reductions in violence and stock losses, others are likely to follow or risk falling behind on safety and loss‑prevention. For customers, the line between protection and surveillance needs careful management to maintain trust. Clear signage, narrow watchlists, rapid deletion of non‑matches and accessible complaint routes matter for legitimacy. For staff and unions, evidence that measures reduce assaults and abuse will be critical to ongoing support. For regulators and campaigners, the priority remains ensuring deployments are narrowly tailored, evidence‑led and subject to meaningful oversight.
Key Challenges To Watch
It seems, however, that questions remain about how these measures perform in real stores. For example, evidence is still building and can vary by location, store format and offender behaviour. Also, facial recognition carries a risk of misidentification, so there must be strong human review and clear routes to correct mistakes. Data retention, watchlist criteria and any information sharing need tight governance and regular audit. Without consistent police follow up, even well documented incidents may not progress, which reduces the deterrent that retailers and staff are looking for.
What Does This Mean For Your Business?
It seems that technology has now moved from trial to toolkit. Bodycams, AI-supported CCTV, crime reporting platforms and central security hubs are all reportedly delivering practical gains where deployments are targeted, well trained and supported by local policing. Facial recognition remains the most contested, which is why governance, human review and visible transparency need to be embedded from the start. None of this is a silver bullet, it is a set of controls that work best together and only when the basics of staff training and incident follow up are in place.
For UK businesses the lesson is to invest where the benefits are clear, measure results store by store, and publish what works so staff and customers can see the value. Build privacy and accuracy into the design, with narrow watchlists, short retention periods and simple routes for people to challenge mistakes. Engage early with police, unions and regulators so evidence gathered in store is acted on, not left on a server. Competitors that delay now look like risking higher losses and lower staff confidence, while those that proceed without robust safeguards risk reputational damage and regulatory attention.
For customers, trust depends on openness and restraint. Clear signage, clear explanations and visible accountability help reassure people that security measures are there to protect, not to monitor ordinary shopping. For staff, the test is whether incidents decline and confidence rises, which should be tracked through surveys and incident data.
