Analyze foot traffic in real time with Radar and Swiftask
Swiftask leverages Radar's geospatial data to interpret visitor behavior. Finally, understand how customers interact with your physical spaces.
Result:
Turn raw location data into strategic decisions to boost your commercial performance.
AI Agents
radar
Connector radar · Secure OAuth 2.0
The challenge of understanding the physical customer journey
Most businesses know how many people enter, but not why, where they linger, or what their path looks like. Without granular analysis, you are navigating your physical spaces blindly.
Main negative impacts:
Underutilized geospatial data
You collect location data via Radar, but it often stays siloed without contextual interpretation.
Mismatch between experience and needs
Without insights on actual catchment areas, your layouts and promotions are based on guesses rather than evidence.
Missed conversion opportunities
The inability to react in real-time to visitor behavior prevents any personalization of the field experience.
Swiftask connects your Radar events to an AI capable of analyzing movement patterns. You get automated reports and recommendations to optimize your operations.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
You extract Radar logs at the end of the month. You spend hours on spreadsheets trying to correlate entries with sales. The analysis is static, historical, and already obsolete by the time you decide.
Swiftask + Radar analysis
As soon as a visitor crosses a zone defined in Radar, Swiftask processes the event. You view trends in real-time, receive alerts on crowded areas, and adjust resources instantly.
Implementing your intelligent analysis in 4 steps
1
STEP 1 : Configure Radar zones
Define your areas of interest (entrances, aisles, waiting areas) directly in the Radar dashboard.
2
STEP 2 : Connect to Swiftask
Link your Radar account to Swiftask via our API to stream location events securely.
3
STEP 3 : Set up analysis models
Select the KPIs to track: footfall rate, average dwell time, high-density areas.
4
STEP 4 : Visualize and act
Check your performance dashboards and automate actions based on detected behaviors.
Advanced features for your spaces
Swiftask AI cross-references Radar data with your sales and scheduling data to identify hidden correlations.
- Target connector: The agent performs the right actions in radar based on event context.
- Automated actions: Dynamic heatmaps, real-time saturation alerts, dwell time calculation per zone, visitor segmentation by frequency.
- Native governance: All data is anonymized to comply with the strictest privacy standards.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-radar@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Benefits of AI-driven analysis
Human resource optimization
Adjust store staffing based on actual traffic peaks predicted by the analysis.
Merchandising improvement
Identify underperforming areas and test new layouts based on real behavior.
Journey personalization
Trigger mobile contextual offers as soon as a visitor enters a specific zone.
Operational cost reduction
Avoid waste by adapting lighting, HVAC, or services to actual traffic needs.
Data-driven leadership
No more guesswork: every layout decision is validated by objective data.
Data security and privacy
Swiftask applies enterprise-grade security standards for your radar automations.
- Privacy by design: Swiftask and Radar process data anonymously. No personal identifiers are kept unnecessarily.
- GDPR compliance: The entire processing chain complies with European data protection standards.
- Full encryption: Data streams between Radar and Swiftask are encrypted in transit and at rest.
- Strict access control: You manage who can access analyses via granular permissions in Swiftask.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Key performance indicators
| Metric | Before | After |
|---|---|---|
| Data accuracy | Manual/Approximate | Radar geospatial precision |
| Reporting delay | Monthly/Weekly | Real-time |
| AI recommendations | None | Automated |
| ROI | Hard to measure | Directly correlated to sales |
Take action with radar
Turn raw location data into strategic decisions to boost your commercial performance.