Organized Retail Crime (ORC)

Artificial intelligence tools are now becoming a seamless part of our everyday lives. Just ask Alexa. Or Siri. Or the customer support chatbot for Lyft, Spotify, or Whole Foods. It stands to reason that retail loss prevention should be leveraging this new, valuable technology for its own toolkits as well.

ALTO US has announced that Karl Langhorst, executive vice president, recently joined retail loss prevention and security expert Joe LaRocca and Commander Blake Chow...

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.