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Loss prevention analysis

This workflow automatically detects potential theft and inventory discrepancies by analyzing sales data, inventory movements, and store analytics to generate loss prevention alerts and reports.

Workflow Trigger

Daily inventory count variance exceeds predefined threshold or suspicious transaction pattern detected

Visual Flow

Each node represents an automated step. Connections show how data and decisions move through the workflow.

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

  1. 1
    Trigger

    Detect inventory discrepancy

    System automatically triggers when daily inventory variance exceeds 2% threshold or unusual sales patterns are detected. Pulls transaction and inventory data from POS systems.

  2. 2
    Action

    Aggregate multi-source data

    Collects and consolidates inventory movements, sales transactions, employee activity logs, and customer traffic data. Normalizes data formats for analysis.

  3. 3
    Action

    Analyze transaction patterns

    Uses AI algorithms to identify suspicious patterns like frequent voids, unusual discount applications, off-hours transactions, and inventory shrinkage hotspots. Compares against historical baseline data.

  4. 4
    Decision

    Assess risk severity level

    Evaluates detected anomalies against risk thresholds to determine if immediate investigation is required or if it can be logged for routine review. Routes high-risk cases to immediate alerts.

  5. 5
    Action

    Generate investigation report

    Automatically creates detailed loss prevention report with specific transaction IDs, employee information, time stamps, and recommended actions. Includes visual data analytics and trend charts.

  6. 6
    Output

    Send alerts and reports

    Delivers immediate notifications to store managers for high-risk incidents and sends comprehensive daily/weekly loss prevention reports to security teams. Updates inventory management systems with findings.

Outputs

  • Real-time theft alerts
  • Daily loss prevention reports
  • Inventory variance analysis
  • Employee activity summaries

Key Metrics

  • Inventory shrinkage percentage
  • Detection accuracy rate
  • Average investigation response time
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