LPM Online’s October 2018 Issue Centers on Retail Analytics

This edition of LPM Online is focused on retail analytics. Here’s a look at the articles in this issue. Please don’t skip over the advertisements and sponsored content that make this publication possible.

Analytics and Geographic Information Systems Drive ORC Insight at Top Investigative Units
LPM’s Senior Writer Garett Seivold looks at how retailers are utilizing maps and advanced spatial analysis to develop critical intelligence for marketing, product assortment, sales predictions, and addressing organized retail crime.

Analytics Has Never Been a Four‑Letter Word in Loss Prevention
According to LPM’s Jacque Brittain, LPC, “Nearly all of us realize the value of data analytics, but still some of us shy away from the term like it’s a four‑letter word. The truth is, analytics has always been a critical aspect of loss prevention and retail as a whole. We could never survive as businesses—or as professionals—without the use of analytics.” Find out why.

A Department Store Case Study of Artificial Intelligence in LP
In this article, Appriss Retail extends the loss prevention professionals’ toolkit and shows the results of a machine‑learning algorithm (a specific type of AI) developed to detect fraudulent and abusive employees and collusive organized retail crime activity for The Bon‑Ton. [Sponsored]

LPRC Research Study Interviews Retail Theft Offenders about Impact of the ALTO Alliance Program
The Loss Prevention Research Council conducted a series of in‑person offender interviews in California and Florida to provide offender‑based insights into the impact the ALTO Alliance strategy has in deterring recidivist offenders from committing retail theft. Check out the research results and the interview video. [Sponsored]

Can Shrink Be Predicted? Yes, Just Don’t Use the Word “Predict.”
LPM’s Retail Technology Editor Tom Meehan, CFI, discusses how his retail team developed a shrink prediction model that allowed his company to respond to shrink more readily. Using statistical‑modeling techniques and over three years of data, the team developed fifty metrics to address shrink issues.

Into the Rabbit Hole of Supply‑Chain Risk
According to LPM Contributing Writer Maurizio P. Scrofani, CCSP, LPC, the first step to appreciating supply‑chain risk management is learning how much we don’t know. Our supply‑chain expert offers an overview of the retail supply chain to help asset protection avoid spiraling into the rabbit hole.

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