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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.

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

STEP 1 : Connect WhosOnLocation to Swiftask

Link your WhosOnLocation instance in a few clicks via our secure connector to import your visitor flows.

STEP 2 : Set your analysis models

Configure peak parameters: alert thresholds, critical zones, and opening hours to train your AI agent.

STEP 3 : Generate predictive insights

Swiftask processes the data to identify temporal and seasonal correlations in visitor flows.

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

1. Staffing optimization

Adjust your workforce based on actual forecasts, reducing unnecessary operational costs.

2. Seamless visitor experience

Avoid long waits thanks to proactive preparation of reception teams.

3. Data-driven decisions

Replace intuition with concrete insights from actual presence data.

4. Unified governance

Centralize the analysis of multiple WhosOnLocation sites in a single interface.

5. 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

MetricBeforeAfter
Forecast accuracyBased on manual history (low)Predictive AI modeling (high)
Reaction time to peaksReactive (post-event)Proactive (pre-event)
Site management costsOver-staffing for safetyData-optimized staffing

Take action with whosonlocation

Stop reacting to unexpected crowds. Turn your visitor data into immediate operational decisions.

Streamline visitor check-ins with AI-powered automation

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