Anticipate peak traffic with Swiftask and WhosOnLocation
Swiftask analyzes your WhosOnLocation presence data in real time. Identify traffic trends to adjust your resources before peaks occur.
Result:
Stop reacting to unexpected crowds. Turn your visitor data into immediate operational decisions.
AI Agents
whosonlocation
Connector whosonlocation · Secure OAuth 2.0
Unpredictable visitor traffic weakens your operations
Managing peak traffic without visibility is a daily challenge for site managers. WhosOnLocation data is often underutilized, locked in static reports, leaving your teams to react in emergencies rather than anticipate.
Main negative impacts:
Under-resourced operations
Lack of anticipation leads to queues, overloaded reception staff, and degraded visitor experience.
Untapped data potential
Your WhosOnLocation sign-in data sits idle. It isn't correlated to extract predictive traffic patterns.
Limited reactivity
Without intelligent alerts, operational adjustments are made only after the peak is reached, too late to optimize reception.
Swiftask connects your WhosOnLocation data to an AI analysis engine. We transform attendance history into predictive models to automate your alerts and staffing recommendations.
BEFORE / AFTER
What changes with Swiftask
Manual traffic management
The site manager manually checks WhosOnLocation reports every week. Last Tuesday's peaks are analyzed too late. Staffing for next week is based on assumptions, creating unexpected bottlenecks.
Proactive AI with Swiftask
Swiftask continuously analyzes WhosOnLocation data. The system detects an upward trend and automatically alerts the manager via Teams. Scheduling is adjusted preventively, ensuring total fluidity.
Unlock your presence data in 4 steps
1
STEP 1 : Connect WhosOnLocation to Swiftask
Link your WhosOnLocation instance in a few clicks via our secure connector to import your visitor flows.
2
STEP 2 : Set your analysis models
Configure peak parameters: alert thresholds, critical zones, and opening hours to train your AI agent.
3
STEP 3 : Generate predictive insights
Swiftask processes the data to identify temporal and seasonal correlations in visitor flows.
4
STEP 4 : Automate your actions
Receive proactive alerts and recommendation reports directly in your communication tools.
Advanced analysis capabilities
The AI agent cross-references sign-in data, visitor types (employees, contractors, guests), and temporal variables to model your site's behavior.
- Target connector: The agent performs the right actions in whosonlocation based on event context.
- Automated actions: Automatic flow anomaly detection. Peak forecasting based on history. Push alerts for capacity breaches. Automated occupancy performance reports.
- Native governance: All analyses are centralized in Swiftask, offering a unified view of your site occupancy.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-whosonlocation@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.
Why choose Swiftask for your WhosOnLocation data
Staffing optimization
Adjust your workforce based on actual forecasts, reducing unnecessary operational costs.
Seamless visitor experience
Avoid long waits thanks to proactive preparation of reception teams.
Data-driven decisions
Replace intuition with concrete insights from actual presence data.
Unified governance
Centralize the analysis of multiple WhosOnLocation sites in a single interface.
Risk reduction
Ensure compliance with maximum capacity limits through real-time monitoring.
Security and compliance
Swiftask applies enterprise-grade security standards for your whosonlocation automations.
- Secure API connection: The integration respects WhosOnLocation security protocols without compromising your data integrity.
- Data anonymization: Swiftask processes flow data while complying with privacy standards.
- Strict access control: You manage who accesses analyses and alerts within your organization.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Operational impact
| Metric | Before | After |
|---|---|---|
| Forecast accuracy | Based on manual history (low) | Predictive AI modeling (high) |
| Reaction time to peaks | Reactive (post-event) | Proactive (pre-event) |
| Site management costs | Over-staffing for safety | Data-optimized staffing |
Take action with whosonlocation
Stop reacting to unexpected crowds. Turn your visitor data into immediate operational decisions.