Zebra Prescriptive Analytics uses AI and machine learning to automate retail loss prevention by detecting anomalies, prioritizing issues by financial impact, and prescribing corrective actions. It closes the loop between insights and execution, helping retailers address fraud, inventory waste, and operational inefficiencies in real time. The system aggregates data, quantifies actions, and verifies execution, enabling faster and smarter responses to losses. Use cases include recovering from organized retail crime, reducing damaged goods waste, and identifying refund fraud schemes. Zebra’s closed-loop system helps maximize profit by transforming raw data into clear, prioritized, and monetized actions.

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