Organized Retail Crime (ORC)

Implementing targeted theft-deterrent strategies depends on consistent record-keeping, organization, and pattern recognition. A data-driven incident management process is the only way to keep pace with an extremely adaptable foe.

It's important, when you strategize your introductory statement, that we keep it non-confrontational and general enough to get the optimal way for you to get the most amount of truth from that conversation. Learn more in this week's NEW video tip.

Research in the loss prevention industry is alive and well on both sides of the Atlantic. Several organizations are growing our body of knowledge...

After a long career in loss prevention, including twenty-six years at Best Buy, Paul Stone, CFE, LPC, is now experiencing unparalleled results. Tempted out...

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.

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.

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Fake goods are not fake news