Swiftask transforms your logistics management by connecting AI agents to Tookan. Task assignment becomes automatic, intelligent, and ultra-fast.
Result:
Drastically reduce dispatching time and increase your field agent availability.
AI Agents
tookan
Connector tookan · Secure OAuth 2.0
Manual task dispatching in Tookan is a major bottleneck. When a manager has to manually assign every delivery or service call, errors increase, response times lengthen, and your fleet's overall reactivity suffers.
Main negative impacts:
High processing delays
Manual assignment creates latency between task reception and field agent pickup.
Frequent assignment errors
Manual selection often fails to consider skill sets, location, or current agent workload.
Increased operational costs
Using human resources for repetitive dispatching is a waste of your team's value.
Swiftask deploys AI agents that analyze new tasks in Tookan and automatically assign them based on your business rules, geolocation, and agent availability.
BEFORE / AFTER
Traditional dispatch management
A new order arrives. An operator checks the agent list, verifies availability, attempts to assign the task, deals with a rejection, and starts over. The process takes several minutes per task.
Dispatching with Swiftask + Tookan
The task is created in Tookan. The Swiftask AI agent intercepts the event, evaluates parameters in milliseconds, and automatically assigns the task to the most relevant agent. The driver receives their mission instantly.
1
STEP 1 : Configure Swiftask AI agent
Define logic rules in Swiftask: assignment criteria, geographic zones, and priorities.
2
STEP 2 : Connect Tookan API
Link your Tookan account to Swiftask via secure integration, allowing the agent access to tasks and agents.
3
STEP 3 : Define triggers
Configure the events (e.g., new task created) that activate the analysis and automatic assignment.
4
STEP 4 : Activate and monitor
Enable the workflow and monitor successful assignments directly from your Swiftask dashboard.
The AI agent evaluates geographic proximity, vehicle type, required skills, and current workload for every field agent.
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.
The AI selects the nearest agent, reducing travel distance and delivery times.
Manage activity spikes without needing to hire more administrative staff for dispatching.
Eliminate the human factor in agent selection, ensuring assignments based on objective data.
Your operations keep running efficiently even outside business hours.
Faster assignments mean faster deliveries and satisfied end customers.
Swiftask applies enterprise-grade security standards for your tookan automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average assignment time | 5 to 10 minutes | Under 5 seconds |
| Agent utilization rate | Variable and unbalanced | Optimized and balanced |
| Operational cost per task | High (labor) | Reduced (-40%) |
| Assignment errors | Frequent | Near zero |
Drastically reduce dispatching time and increase your field agent availability.