Dr. Read Hayes

Dr. Read Hayes
Dr. Read Hayes
Director
Loss Prevention Retail Council (LPRC)
Read Hayes, PhD is a Research Scientist/Criminologist at the University of Florida, and Director of the Loss Prevention Research Council (LPRC). The LPRC includes 76 major retail corporations, multiple law enforcement leaders, trade associations, and over 100 protective solution/tech partners working together year-round in the field, in VR, and in sim labs with scientists and practitioners to increase people and place safety by reducing theft, fraud, and violence using better process and smart technologies. Dr. Hayes is a media source for the NYT, Washington Post, Bloomberg Business, Wall Street Journal, CNN, NPR, FoxNews, NBC, CBS, USA Today, and the BBC. rrhayes@ufl.edu ; website: lpresearch.org

Speaking in:

Sunday
January 14
2:00 pm3:00 pm
Expo, Level 1, Expo Stage 2
Retailers are facing an alarming surge in theft due to the rise of Organized Retail Crime (ORC). Moderated by the LPRC, this session will showcase how Kroger and Jacksons Food are leveraging AI solutions in their stores to tackle this issue head-on. Join us to gain invaluable insights into how these retailers are reclaiming their stores to provide both customers and employees with a secure… Read more
Monday
January 15
3:15 pm3:45 pm
Expo, Level 3, Expo Stage 5
There’s a lot more to RFID sensors than just inventory management. RFID tags and labels can be found on a wide range of consumer products due to proven success across enterprise use cases like loss prevention. Digitizing loss prevention gives retailers more insights & data to deter theft and take a proactive approach to combating the growing challenge of retail crime. In this engaging session… Read more
Monday
January 15
4:00 pm4:30 pm
Expo, Level 3, Expo Stage 4
Retailers are experiencing significant criminal activity in and around their stores. From shoplifting to organized retail crime, retailers are turning to geospatial technology and mapping as critical tools for documenting criminal activity in the context of time and location. This data enables retailers to find patterns in criminal activity that inform their prevention and recovery efforts and… Read more