Predictive Modeling for Internal Loss: Seeing the Risks Before They Materialize
Predictive Modeling for Internal Loss Takeaways: Predictive modeling can help retailers proactively identify and mitigate the risk of internal loss. Key data points for predictive models include POS transactions, employee data, inventory records, and exception...
ORC Investigations: Strategies to Combat Organized Retail Crime
ORC Investigations Key Takeaways: ORC poses a significant threat to retailers, requiring a strategic and coordinated investigation approach. Effective ORC investigations involve data collection, analysis, collaboration, and communication with law enforcement....
Linking Offenders: Uncovering Connections to Combat Retail Crime
Key Takeaways: Linking offenders is a crucial strategy in loss prevention, helping to identify organized retail crime (ORC) rings and repeat offenders. Effective linking involves gathering data from various sources, analyzing patterns, and collaborating with law...