AI-Driven System for Smarter Decision Making in Public Spaces

About the Client

Sweden-based technology company that provides advanced analytics and predictive insights on footfall and crowd dynamics by passively collecting anonymized Wi-Fi signals from smartphones and other connected devices. The solution enables organizations to monitor how people move through physical spaces — such as city centers, malls, airports and offices — and make smarter decisions based on behavioral patterns and spatial usage.

Objective

To develop a solution that delivers actionable analytics and predictive insights into foot traffic and consumer behavior across outdoor and indoor public spaces. The goal was to support data-driven decision-making for transport hubs, retail venues, offices, shopping malls and city centers — ultimately helping optimize spatial planning and enhance user experience.

Solution

We delivered an AI-powered analytics platform that collects and processes anonymized Wi-Fi signal data from mobile devices to map movement patterns and behavior in physical environments. The system transforms raw data into clear insights for both commercial and municipal use.

Key Capabilities:

• Wi-Fi-Based Tracking: Captures anonymous signals from smartphones to understand movement across physical zones.
• Real-Time Analytics: Provides instant visibility into foot traffic trends, dwell times and congestion points.
• GDPR-Compliant & Privacy-First: All data is fully anonymized and processed in line with data privacy standards.
• Heatmaps & Flow Visualizations: Intuitive visual outputs support decisions around layout, service flow and spatial efficiency.

Use Cases:

• Retail: Optimize layout, understand customer behavior and increase conversions.
• Public Infrastructure: Improve passenger experience by reducing bottlenecks and planning flows.
• Events: Adapt layouts and crowd control dynamically based on real-time visitor data.

Our engineering team was responsible for full-stack system enhancement and operations:

• Database management and improvements using PostgreSQL
• Deployment and environment handling on Heroku
• Monitoring and metrics integration via Prometheus and Grafana
• Feature development for the REST API and web control panel
• Data analysis and optimization using Pandas and NumPy
• Requirements shaping based on customer input and use cases
• Code profiling and bottleneck resolution to improve system performance

Result

The solution was delivered on time and within scope. It is now successfully deployed and actively used by clients to inform real-time decisions, optimize physical spaces and enhance visitor experiences.