Traffic & Parking

Combine satellite and edge camera data to monitor real-time foot traffic and parking utilization, optimizing store layouts and staffing dynamically.

Request a demo

How does it work?

Retailers often lack accurate, real-time insights into in-store foot traffic and parking space usage, relying on manual counts that are time-consuming and error-prone. Our AI-driven geospatial analytics platform integrates satellite imagery, edge sensors, and machine learning to deliver precise, scalable traffic and occupancy metrics, enabling data-driven staffing, layout, and marketing optimizations.

Real-Time Monitoring: Get up-to-the-minute foot traffic and parking occupancy data across all locations. Immediate alerts enable proactive staff allocation and resource management.
Enhanced Accuracy: AI-powered image analysis reduces manual counting errors by over 90%. Combining multiple data sources ensures comprehensive coverage in challenging environments.
Operational Efficiency: Automate data collection and reporting to cut analysis time by up to 80%. Real-time dashboards centralize insights for quick decision-making at headquarters or store level.
Staffing Optimization: Align staff schedules with predictive traffic patterns to reduce overstaffing and labor costs. Accurate forecasts improve customer service during peak hours.
Layout Planning: Spatial analysis reveals high-traffic zones and underutilized areas in stores and lots. Data-driven layout changes can boost sales per square meter by up to 15%.
Scalable Deployment: Deploy the solution across hundreds of retail sites without additional hardware investment. Cloud-native architecture and edge processing ensure consistent performance at scale.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this compare to traditional in-store infrared sensors?: Unlike infrared sensors that cover single entry points, our solution uses wide-area imagery and edge data to monitor multiple zones simultaneously. This provides holistic coverage of foot traffic and parking occupancy without extensive sensor installations.
Why is geospatial analytics popular among large retail chains?: Large retailers appreciate its ability to aggregate data across hundreds of locations for consistent metrics. Its scalability and centralized dashboards simplify enterprise-level operational management.
Can I integrate this solution with existing CCTV or third-party sensors?: Yes, the platform supports integration with standard CCTV feeds and IoT sensors through open APIs. This flexibility enhances data diversity and improves overall accuracy.
What limitations exist when using satellite imagery for parking occupancy?: Satellite revisit times may delay updates compared to fixed cameras, creating coarser temporal granularity. Cloud cover can also obscure lots, requiring supplementary edge or drone data for full reliability.
Are there alternatives to geospatial analytics for footfall and parking analysis?: Alternatives include manual counting, Wi-Fi/Bluetooth tracking, and in-store sensors, each with narrower coverage or higher installation costs. Geospatial analytics offers broader area coverage and reduced hardware dependencies.
How frequently can the platform update data across large retail portfolios?: Data refresh rates depend on the mix of imagery and sensor inputs, typically offering near-real-time streaming from edge devices and hourly to daily satellite updates. Automated pipelines ensure continuous analytics without manual intervention.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

Request a demo