Who shoplifts? There is no typical profile of a shoplifter. Based on our experience of interviewing offenders, shoplifters can be male or female, of any race, as young as five or well into their seventies.
The use of geospatial predictive analytics as a key tool in the fight against organized retail crime (ORC) is the subject of a feature article in the October 2018 issue of LPM Online.
Sometimes when we conduct an investigation, we're so focused on the specific incident or type of crime that was committed that we forget to think outside the box about what else that person could have done. Check out this week's video tip for more.
Despite retailers reporting worrisome and worsening ORC statistics, resources to fight it may be on the verge of stagnating. Only 40 percent said their companies are allocating more resources to fight ORC, down from about half of retailers that noted increased spending in both 2016 and 2015.
This post is designed to provide a theoretical context for understanding the psychological and social forces that drive people to become criminals, how criminogenic opportunities can be reduced, as well as where analytics fits into loss prevention.
From advanced spatial analysis to the value of analytics in LP, from a department store case study of artificial intelligence to an LPRC research study comprised of in-person offender interviewers, the latest issue of LPM Online gives you the information you need to become a better industry pro.
The 2018 Coalition of Law Enforcement and Retail (CLEAR) Conference was held October 9-11 in Myrtle Beach, SC, with 180 attendees enjoying the 14 sessions, vendor interactions, and networking opportunities. A highlight of the conference was presenting awards for the law enforcement and loss prevention investigations of the year.
Download this 34-page special report from Loss Prevention Magazine about types and frequency of violent incidents, impacts on employees and customers, effectiveness of tools and training, and much more.