The threat has changed. ORC crews plan like logistics companies, exploit location-specific vulnerabilities, and move across markets faster than traditional incident reporting can track them. The data LP teams have relied on — shrink reports, exception logs, national crime averages — doesn't see any of that coming.

Location intelligence does.

This session brings together leading researchers, data scientists, and practitioners to examine how geospatial analysis is transforming LP from a reactive discipline into a predictive one. Drawing on the LPRC's SaferPlaces initiative, CAP Index crime modeling, and real-world GIS deployments, panelists will explore how spatial data exposes the environmental factors driving store-level risk — factors that never appear in a shrink report but that ORC crews assess before every attack.

Attendees will leave with a framework for evaluating location-specific risk across their portfolio, an understanding of the data infrastructure required to operationalize that intelligence, and examples of retailers already using these tools to get ahead of the threat.