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Supercharge your logistics with Tookan smart scheduling

Swiftask connects your AI agents to Tookan to automate your route planning. Analyze orders and assign deliveries in seconds.

Result:

Increase responsiveness and cut operational costs with optimized planning and zero manual effort.

Manual route scheduling slows down your growth

Managing dozens of daily deliveries via Tookan requires complex coordination. Dispatchers spend hours juggling addresses, time slots, and driver availability.

Main negative impacts:

  • Underutilized resources: Routes are not optimized, leading to unnecessary mileage and increased driver working hours.
  • Dispatch errors: Manual data entry and human management of schedules increase the risk of omissions or scheduling conflicts.
  • Limited reactivity: In case of unexpected events, manual rescheduling is too slow to maintain high service standards.

Swiftask puts AI at the heart of Tookan. Our agents automatically analyze incoming orders and generate optimized schedules based on all your business constraints.

BEFORE / AFTER

What changes with Swiftask

Traditional management

A dispatcher receives an order list, manually checks driver locations in Tookan, and tries to assign tasks one by one, wasting valuable time.

Augmented planning with Swiftask

As soon as an order arrives, the Swiftask AI agent analyzes it, identifies the best available driver in Tookan, and schedules the stop instantly.

Deploy your scheduling agent in 4 steps

STEP 1 : Initialize the flow in Swiftask

Connect your Tookan instance to Swiftask via API to give the agent access to delivery data.

STEP 2 : Define optimization rules

Set your preferences: client priority, vehicle capacity, time windows, and geographical zones.

STEP 3 : Activate the AI agent

The agent starts monitoring Tookan entries and processing requests according to your defined rules.

STEP 4 : Monitor and adjust

Use the Swiftask dashboard to validate assignments and fine-tune optimization parameters in real time.

Advanced optimization capabilities

The agent considers geolocation, real-time traffic, strict delivery windows, and current fleet workload.

  • Target connector: The agent performs the right actions in tookan based on event context.
  • Automated actions: Automatic driver assignment. Intelligent grouping of orders by zone. Dynamic schedule updates during cancellations. Proactive alerts for potential delays.
  • Native governance: All agent decisions are logged in Swiftask, ensuring full transparency in your logistics operations.

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.

Major operational benefits

1. Reduced transport costs

Denser and better-optimized routes significantly lower fuel and maintenance costs.

2. Increased productivity

Free your teams from repetitive planning so they can focus on exception management.

3. Higher customer satisfaction

Faster deliveries within promised windows directly improve the customer experience.

4. Business scalability

Manage 10 or 1000 orders with the same efficiency thanks to AI automation.

5. Seamless integration

Connect Tookan to your other tools (CRM, ERP) via Swiftask for a unified data flow.

Data reliability and security

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

  • Secure Tookan API: Data exchange between Swiftask and Tookan is encrypted and authenticated.
  • Access control: Precisely control AI agent permissions within your Swiftask workspace.
  • Full audit trail: Every assignment made by the agent is traceable, facilitating reporting and performance analysis.
  • Compliance: Robust infrastructure meeting B2B security standards.

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

RESULTS

Impact on your key performance indicators

MetricBeforeAfter
Planning timeSeveral hours / dayReal-time (seconds)
Fleet utilization60-70%85-95%
Scheduling errorsFrequentNear zero
Logistics cost per packageHighOptimized (-20% on average)

Take action with tookan

Increase responsiveness and cut operational costs with optimized planning and zero manual effort.

Supervise your fleet in real-time with Tookan and AI

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