iD Cloud Loss Prevention is a software solution designed for retailers to address evolving vulnerabilities in loss prevention. It moves beyond traditional methods like manual audits and reactive alarms by providing a data-driven, proactive approach. The platform leverages RFID technology and AI insights to offer item-level strategic insights, identifying "hot items" and "hot categories" with the highest loss rates. It helps prioritize efforts by highlighting "hot stores" and "high theft hours," enabling optimized staff planning and training. The system detects "sweethearting events" by monitoring voided transactions for potential checkout fraud and flags "peak events" that indicate organized retail crime (ORC) activity. Additionally, it identifies "out of hours" events that may suggest internal theft. iD Cloud unifies data from various sources, including POS transactions, ERP events, and inventory counts, to create a comprehensive intelligence layer that translates fragmented data into actionable insights. This unified visibility allows for faster, more focused interventions, reduces false positives, and streamlines operations by eliminating the need for manual data analysis. The platform is designed for enterprise scalability and empowers staff with clear action points, distinctive data presentation, and exceptional RFID-driven accuracy to transform loss prevention into a performance driver.

Features & Benefits

• Item-level Strategic Insights: Identifies "hot items" and "hot categories" with the highest loss rates to adapt loss prevention strategies.
• Prioritize Effectively: Highlights "hot stores" and divisions with the highest losses, allowing focused efforts.
• Intelligent Shift Management: Identifies "high theft hours" by store, day, and time to optimize staff planning and training.
• Detect Checkout Fraud Fast: Autonomously monitors voided transactions for "sweethearting events" to detect potential fraud early.
• Flag ORC Attacks: Detects and flags "peak events" indicating potential organized retail crime activity.
• Catch Internal Theft: Automatically flags "out of hours" events that may indicate internal theft or unauthorized resale.
• Unified Intelligence Layer: Combines data from POS, ERP, and inventory counts into a single intelligence layer for clear, prioritized actions.
• AI & Machine Learning at the Core: Continuously analyzes data to predict theft, refine analytics, and identify high-risk SKUs and locations.