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Parking Management · Workflow

Occupancy analytics and reporting

Automatically collects real-time parking occupancy data, analyzes space utilization patterns, and generates comprehensive reports for operational optimization and revenue forecasting.

Workflow Trigger

Scheduled time interval (hourly/daily) or manual report request

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

    Initiate occupancy data collection

    Workflow triggers at scheduled intervals or when manager requests ad-hoc occupancy analysis. Sets parameters for data collection timeframe and scope.

  2. 2
    Action

    Aggregate sensor and payment data

    Collects real-time occupancy data from parking sensors, entry/exit gates, and payment transactions. Consolidates data from multiple parking zones and levels.

  3. 3
    Action

    Calculate utilization metrics

    Processes raw occupancy data to calculate peak hours, average stay duration, turnover rates, and space utilization percentages. Applies time-based segmentation for pattern analysis.

  4. 4
    Decision

    Evaluate occupancy thresholds

    Determines if occupancy rates exceed predefined thresholds for capacity warnings or fall below targets indicating underutilization. Routes to appropriate reporting level based on performance.

  5. 5
    Action

    Generate predictive analytics

    Creates forecasting models based on historical patterns, seasonal trends, and current utilization data. Identifies optimization opportunities for pricing and capacity management.

  6. 6
    Action

    Compile comprehensive reports

    Assembles detailed occupancy reports with visualizations, trend analysis, revenue impact assessments, and actionable recommendations. Formats reports for different stakeholder groups.

  7. 7
    Output

    Distribute analytics dashboard

    Delivers automated reports to facility managers, operations teams, and executives via email or dashboard updates. Includes alerts for critical occupancy issues requiring immediate attention.

Outputs

  • Hourly/daily occupancy reports
  • Predictive capacity forecasts
  • Revenue optimization recommendations

Key Metrics

  • Average occupancy rate
  • Peak utilization periods
  • Revenue per available space
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