Loss Prevention Managers

Loss-prevention work already uses some smart tools, but most tasks still rely on people. Retailers now use AI-powered cameras and analytics to spot thieves. For example, a new system can watch store video and flag the most-stolen products and the areas where theft happens ^{[1] [1]}.

High-resolution cameras and software make footage “much more searchable,” helping managers find clear evidence quickly ^[1]. Stores also track data – for instance, an AI “process intelligence” tool can flag customers who return items suspiciously often. Retailers report that identifying repeated fraud helps “save millions” of dollars ^[2].

In sum, computers handle more record-keeping and pattern-finding (like scanning bad-check logs or cash-register errors), but they can only suggest where problems might be. Human managers still have to read reports, make decisions, and handle people. Tasks like interviewing an employee about a theft or deciding to hire new loss-prevention staff need judgment and trust.

In fact, experts caution that retailers must watch for privacy concerns and false alarms when using AI surveillance ^[1], so human review remains important.

Big financial losses from theft and fraud are pushing some companies to invest in AI. For instance, shrinkage cost U.S. retailers about $94.5 billion in 2021 ^[1], so tools that “could save retailers millions” by spotting patterns are attractive ^[1]. Process-intelligence systems that catch return fraud or cash discrepancies can potentially save stores “millions or even billions” over time ^[2].

However, AI technology can be expensive to set up, especially for small stores with tight budgets. It also raises legal and social issues: yawning privacy laws or worries about wrongly accusing innocent shoppers can slow adoption ^[1]. In short, large retailers likely move fastest, using AI in cameras and databases, because the potential savings are huge ^{[1] [2]}.

But many parts of the job – especially anything involving people, like training or investigations – remain a human skill. Overall, AI is a growing helper for loss prevention (doing data and surveillance work), but managers’ intuition and people skills are still very useful.