Retail Parking Lot Occupancy and Store Footfall Measurement

Measure real customer traffic at retail sites from space. Klarety processes high-frequency optical satellite passes to count vehicles in parking lots, compute hourly occupancy curves, and correlate traffic patterns with sales periods and competitor activity. Retailers benchmark site performance without deploying ground sensors.

Store traffic intelligence without ground sensor deployment

Klarety AI
Klarety AI chat composer interface

Footfall benchmarks from satellite parking analysis

Klarety agents count vehicles from high-frequency optical passes and return hourly occupancy curves and competitor comparisons.

Optical
Klarety satellite analysis output

Vehicle counting and hourly occupancy curves

Agents classify parked vehicle density across lot polygons, compute occupancy rates, and correlate traffic with event calendars.

GIS Output
Klarety AI map annotation overlay

Occupancy layers for retail site GIS analysis

Export vehicle count grids and occupancy time-series for retail site selection model and trade area GIS tool integration.

Satellite vehicle counting for retail parking occupancy

Klarety agents detect vehicle presence in high-resolution optical imagery over defined parking lot polygons by identifying bright rectangular objects (vehicles) against asphalt. Vehicle count per polygon is normalized to lot capacity to yield occupancy rate. Weekly occupancy curves are benchmarked against competitors in the same trade area. Output is a weekly occupancy table, competitor comparison, and peak-traffic time classification.

Klarety AIMeasure parking occupancy at your retail sites
analysis/retail_parking_occupancy.pyAgent code
output/retail_occupancy_report.mdOutput report

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