5 ways smart AI CCTV is revolutionising loss prevention in retail

It wasn’t that long ago that CCTV systems were a rather passive, reactive affair. Sure, they’d record everything on camera, so you’d have footage to produce when pursuing an offender through the courts. If you paid a security guard to sit and monitor the screens 24/7, you could probably act on anything suspicious fairly quickly after it happened – but it’d then be down to you to wade through hours of footage in search of incriminating evidence, like video of the perpetrators ‘casing the joint’ earlier that day.

Today, the advent of smart CCTV has changed all that, bringing security into the 21st century with a range of powerful, proactive new features that are now helping loss prevention teams in the biggest high street retail brands. Let’s take a look at just five of the ways smart CCTV is revolutionising loss prevention in the retail sector, where profit margins are tight and shoplifting is at an all-time high.

1. Sending real-time alerts

While traditional CCTV systems simply recorded footage of incidents, the smart CCTV systems of today respond to those events in real time. Crucially for stores plagued by shoplifting, smart CCTV systems use AI technology that enables real-time threat detection, automatically alerting staff when they identify suspect behaviour such as hiding goods, loitering too long in a particular area or entering an unauthorised space. This means staff can act to prevent crime before it happens, rather than waiting to review footage manually after a crime has already taken place.

2. Spotting known offenders

Thanks to the wonders of facial recognition, smart CCTV can go a step further than simply being on the lookout for suspicious behaviour: it can also spot repeat offenders. AI is now able to check someone’s face against a database of known offenders, giving retail staff the upper hand with discreet, as-it-happens alerts when a problem individual enters the store. This means they can be extra-vigilant without disturbing other customers, reducing the likelihood of a theft happening. ‘Forewarned is forearmed’, as they say.

3. Logging incidents and collecting evidence

Gone are the days of having to sift through hours of video looking for evidence to send to the police. It’s so much easier to compile a case against an offender when your smart CCTV system not only logs incidents automatically, but tags the footage for instant retrieval at any time. That means swifter justice and a higher likelihood of recovering losses.

4. Heat mapping

Theft isn’t the only focus for loss prevention teams. Smart CCTV is helping to optimise operational efficiency, with its heat mapping insights invaluable for planning optimal store layouts. Heat maps highlight where and when queues and bottlenecks form, and can help with things like staff deployment, self-service checkouts and shelf layouts. And this helps with theft, too, as it can show you where there may be blind spots or areas of the store where shoplifting most often happens. This then means you can move higher-value products into a safer area of the store, or ensure there’s a member of staff visible in higher-risk areas at all times.

5. Remote, centralised monitoring

Smart CCTV systems stream their footage to the cloud, enabling round-the-clock monitoring to be carried out remotely while stepping up your loss prevention efforts. This could even save money by alleviating the need for a surveillance room and security guards on site, as monitoring can be outsourced to companies (like iFacility) who can carry out patrols for all your stores from a single off-site control room, stepping in to help when needed. That translates to faster response times and consistently strong security across all your sites.

At iFacility, our ai powered V5 system combines all these loss prevention features into a single unit, with staff protection and business optimisation tools sitting alongside AI- AI-enhanced CCTV and alarm systems to keep your people and property safe. If you’re ready to level up your security, drop us a line at the link below.