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.
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:
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
STEP 1 : Configure Radar zones
Define your areas of interest (entrances, aisles, waiting areas) directly in the Radar dashboard.
STEP 2 : Connect to Swiftask
Link your Radar account to Swiftask via our API to stream location events securely.
STEP 3 : Set up analysis models
Select the KPIs to track: footfall rate, average dwell time, high-density areas.
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.
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
1. Human resource optimization
Adjust store staffing based on actual traffic peaks predicted by the analysis.
2. Merchandising improvement
Identify underperforming areas and test new layouts based on real behavior.
3. Journey personalization
Trigger mobile contextual offers as soon as a visitor enters a specific zone.
4. Operational cost reduction
Avoid waste by adapting lighting, HVAC, or services to actual traffic needs.
5. 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.
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.