• Pricing
Book a demo

Supervise your fleet in real-time with Tookan and AI

Swiftask connects your AI agents to Tookan tracking data. Visualize and analyze your delivery operations live, without the manual work.

Result:

Gain immediate visibility over your operations and react to unforeseen events before they impact your customers.

The challenges of manual fleet monitoring

Monitoring a delivery fleet manually is complex. Data is scattered, anomalies go unnoticed, and delays pile up due to lack of anticipation.

Main negative impacts:

  • Limited reactivity: Without automated analysis, delivery issues are identified too late, damaging customer satisfaction.
  • Information overload: The constant flow of Tookan data makes it hard for managers to identify critical trends.
  • Lack of correlation: Manually cross-referencing GPS location data with driver performance is nearly impossible.

Swiftask automates the monitoring of your Tookan fleet. The AI detects anomalies, flags delays, and proposes optimizations in real-time.

BEFORE / AFTER

What changes with Swiftask

Traditional management

The manager manually checks the Tookan dashboard, looks for potential delays, and calls drivers one by one. A huge waste of time.

Swiftask intelligent monitoring

Your AI agent scans Tookan streams continuously. It only alerts you to critical exceptions and suggests scheduling adjustments.

Activating intelligent monitoring

STEP 1 : Tookan connection

Link your Tookan account to Swiftask via our secure connector.

STEP 2 : Defining thresholds

Set criteria for alerts (delays, out-of-bounds, etc.).

STEP 3 : Agent configuration

Train the agent on your specific logistics KPIs.

STEP 4 : Active monitoring

The agent watches your streams and notifies you via your usual tools.

Fleet analysis capabilities

The agent analyzes GPS position, task status, and estimated delivery times in real-time.

  • Target connector: The agent performs the right actions in tookan based on event context.
  • Automated actions: Automatic alert for delays. Performance analysis by zone. Automated daily reporting. Slack/Teams integration for alerts.
  • Native governance: All analyses are logged to optimize your future routes.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-tookan@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.

Operational advantages

1. Reduced delays

Anticipate issues before they happen.

2. Increased productivity

Automate monitoring, focus on strategy.

3. Customer satisfaction

Reliable logistics ensure loyal customers.

4. Data-driven decisions

Use AI insights to optimize your costs.

5. Scalability

Manage 10 or 1000 drivers with the same efficiency.

Data security

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

  • TLS Encryption: Your data is transmitted securely.
  • Restricted access: Granular control over workspace access.

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

RESULTS

Impact on your logistics

MetricBeforeAfter
Incident detection time30 minutesLess than 1 minute
Delay rate15%Less than 5%

Take action with tookan

Gain immediate visibility over your operations and react to unforeseen events before they impact your customers.

Validate your Tookan delivery proofs automatically with AI

Next use case