Will AI replace Loss Prevention Managers?

AI can do 55% of the work Loss Prevention Managers do at least twice as fast. People already use it for 1 of their 27 tasks, while 16 more are ready but barely used so far. 10 still need a person.

AI is already doing this1 · 5% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Identify potential for loss and develop strategies to eliminate it.Mostly automated5% of time

AI could do this next16 · 50% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Review loss prevention exception reports and cash discrepancies to ensure adherence to guidelines.6% of time
  • Train loss prevention staff, retail managers, or store employees on loss control and prevention measures.6% of time
  • Administer systems and programs to reduce loss, maintain inventory control, or increase safety.6% of time
  • Analyze retail data to identify current or emerging trends in theft or fraud.5% of time
  • Supervise surveillance, detection, or criminal processing related to theft and criminal cases.4% of time
  • Maintain documentation of all loss prevention activity.4% of time
  • Collaborate with law enforcement to investigate and solve external theft or fraud cases.4% of time
  • Monitor and review paperwork procedures and systems to prevent error-related shortages.2% of time
  • Recommend improvements in loss prevention programs, staffing, scheduling, or training.2% of time
  • Coordinate theft and fraud investigations involving career criminals or organized group activities.2% of time
  • Develop and maintain partnerships with federal, state, or local law enforcement agencies or members of the retail loss prevention community.2% of time
  • Advise retail managers on compliance with applicable codes, laws, regulations, or standards.2% of time
  • Provide recommendations and solutions in crisis situations such as workplace violence, protests, and demonstrations.1% of time
  • Maintain databases such as bad check logs, reports on multiple offenders, and alarm activation lists.1% of time
  • Direct installation of covert surveillance equipment, such as security cameras.1% of time
  • Advise retail establishments on development of loss-investigation procedures.1% of time

Still needs a person10 · 45% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Coordinate or conduct internal investigations of problems such as employee theft and violations of corporate loss prevention policies.8% of time
  • Visit stores to ensure compliance with company policies and procedures.7% of time
  • Investigate or interview individuals suspected of shoplifting or internal theft.6% of time
  • Hire or supervise loss prevention staff.6% of time
  • Perform or direct inventory investigations in response to shrink results outside of acceptable ranges.4% of time
  • Direct loss prevention audit programs including target store audits, maintenance audits, safety audits, or electronic article surveillance (EAS) audits.4% of time
  • Monitor compliance to operational, safety, or inventory control procedures, including physical security standards.4% of time
  • Perform cash audits and deposit investigations to fully account for store cash.2% of time
  • Verify correct use and maintenance of physical security systems, such as closed-circuit television, merchandise tags, and burglar alarms.2% of time
  • Assess security needs across locations to ensure proper deployment of loss prevention resources, such as staff and technology.2% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 4 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 16 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 10 tasks that stay human. This is where your judgment, skill and relationships matter most.
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