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Master your travel times with Radar data

Swiftask leverages Radar's geolocation data to automate travel time tracking. Turn your mobility data into strategic decisions.

Result:

Reduce downtime and optimize your mobile team's schedules in real-time.

The complexity of manual travel tracking

Manual travel tracking is prone to errors and productivity loss. Without precise visibility into travel times, optimizing schedules or billing clients accurately becomes impossible.

Main negative impacts:

  • Operational inefficiency: Poorly planned routes increase fuel costs and reduce the number of interventions possible per day.
  • Inaccurate reporting: Lack of reliable data prevents fine-grained analysis of the profitability of each mission.
  • Team burnout: Unmanaged traffic delays directly impact employee well-being and punctuality.

The Swiftask + Radar integration automates travel time calculation. Receive intelligent alerts as soon as a schedule deviation is detected.

BEFORE / AFTER

What changes with Swiftask

Traditional management

Employees note their departure and arrival times. Deviations are analyzed at the end of the week by back-office, too late to correct inefficiencies.

Swiftask + Radar approach

Radar detects real-time location changes. Swiftask analyzes this data and instantly adjusts schedules, alerting managers in case of delays.

Deploying your Radar solution in 4 steps

STEP 1 : Connector initialization

Activate the Radar connector in your Swiftask space to synchronize your geofencing zones.

STEP 2 : Zone configuration

Define geofences and critical travel time thresholds within the Radar interface.

STEP 3 : AI rule creation

Configure workflows in Swiftask to trigger actions based on zone entries/exits.

STEP 4 : Continuous monitoring

Supervise travel performance via the Swiftask dashboard and adjust alerts based on results.

Advanced features for your travel

The AI agent analyzes traffic data, travel history, and planned delays to provide a comprehensive view.

  • Target connector: The agent performs the right actions in radar based on event context.
  • Automated actions: Automatic delay alerts, dynamic schedule updates, automatic travel time calculation, mobility report generation.
  • Native governance: All data is centralized to ensure total traceability and strict GDPR compliance.

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.

Competitive advantages of this automation

1. Increased precision

Eliminate human error through automated geolocation tracking.

2. Cost reduction

Optimize routes to reduce fuel consumption and unnecessary work time.

3. Field reactivity

Make decisions based on real data to reorganize missions in an emergency.

4. Full visibility

Access a complete history of movements for your internal audits.

5. Scalability

Manage hundreds of employees with the same efficiency as a small team.

Security and data protection

Swiftask applies enterprise-grade security standards for your radar automations.

  • Data encryption: All geolocation data is encrypted during transfer between Radar and Swiftask.
  • Access control: Granular permission management to ensure only authorized personnel access location data.
  • GDPR compliance: Processes designed to meet the strictest privacy standards for mobile data.
  • Secure hosting: Robust infrastructure ensuring availability and integrity of your data streams.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Key KPIs for your logistics

MetricBeforeAfter
Tracking precision85% (declarative)99% (real-time)
Administrative time5h/week0h (automated)
Travel costsHigh baseline-15% on average
Reaction timeDelayedInstant

Take action with radar

Reduce downtime and optimize your mobile team's schedules in real-time.

Build contextual user experiences with Radar and your AI agents

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