Real-time count of trolleys per zone — arrival gates, departure halls, and baggage belts.
Tracks trolley movement between zones with flow volume, direction, and time-of-day patterns.
Identifies trolleys stationary in the same region for over 3 hours. Highlights 6h+ and 9h+ idle tiers.
Identifies zones below or above configurable threshold levels. Triggers visual and alert notifications.
Usage frequency, total duration, and idle time per trolley MAC. Ranks fleet by utilization score.
Highlights the most and least used trolleys over a period. Surfaces outliers for rotation planning.
Tracks cumulative usage hours and maintenance cycle status per trolley. Flags assets due for service.
Trolleys not seen for a defined duration (configurable). Shows last known location and time-since-seen.
Detects when trolleys enter restricted or unauthorized areas (cargo, sterile zones, perimeter). Logs events with timestamps.
coverage boundary
2 new today
Identifies trolleys that have moved outside the ASTRA detector coverage zone — candidates for field recovery.
Tracks average time-to-recovery for missing trolleys. Trend over time shows operational improvement.
Worst: Belt B2 (71%)
Percentage availability of trolleys at key passenger touchpoints — arrivals, departures, belt areas.
Trolley demand patterns by hour, day-of-week, and flight schedule alignment. Surfaces predictable peak windows.
Identifies zones with frequent or sustained trolley shortages as a proxy for passenger wait time impact.
Average time taken to move trolleys across zones after a shortage alert. Measures staff response speed.
reduction in
manual tracking
Quantifies reduction in manual trolley tracking activities since ASTRA deployment. Strong ROI signal.
Spatial distribution of trolleys plotted on floor plan over time. Reveals high-density clusters and dead zones.
High-level fleet efficiency metrics — utilization rate, idle rate, availability, and coverage. Executive summary format.
Total missing, lost, and unrecovered trolleys with month-on-month trend. Financial exposure estimate included.
Manpower reduction: +38%
Cost savings vs operational baseline. Includes recovery savings, manpower reduction, and asset life extension.
Detector coverage heatmap and blind spot analysis. Identifies areas of low or no triangulation confidence.
ML forecast of trolley demand per zone based on historical patterns, time-of-day, and flight schedule data.
AI-generated suggested trolley movements to balance the fleet based on current state and forecasted demand.
Full lifecycle movement path per trolley from first detection to last seen. Includes dwell times at each zone.
Detects misuse patterns, abnormal movement behavior, and policy violations using anomaly detection models.
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