Integrations

Supercharge Tookan with Relevance AI

Tookan is a delivery management platform that facilitates the seamless management of field workforce operations through automated task handling and real-time tracking. With Relevance AI, you can elevate your task management capabilities by leveraging AI Agents for smarter, data-driven decisions.

Give your AI Agents Tookan Superpowers

Tookan offers a comprehensive delivery management platform that allows for efficient task creation and tracking. Relevance AI enhances this by enabling intelligent AI Agents to optimize task management and decision-making processes.

Real-Time Orchestration Mastery

The AI agent gains the ability to dynamically optimize and coordinate multiple delivery operations simultaneously with precision timing.

Predictive Fleet Intelligence

Enhanced capability to forecast delivery patterns and optimize resource allocation before bottlenecks occur.

Dynamic Resource Optimization

Continuous adaptation and reallocation of delivery resources based on real-time demand and conditions.

Tools

Equip AI Agents with the Tookan Tools they need

Relevance AI integrates with Tookan to streamline your field workforce operations within automated workflows.

Tookan - Create Pickup Task
Creates a task for picking up items from a specified location at a scheduled time, enabling efficient management of pickup operations in the field workforce
Tookan - Create Field Workforce Task
Establishes a comprehensive task for field workers that includes both pickup and delivery components, optimizing workforce deployment and scheduling
Tookan - Create Pickup And Delivery Task
Generates a complete end-to-end task that coordinates both pickup and delivery operations, specifying locations and timing for both collection and drop-off
Tookan - Create Appointment Task
Sets up scheduled appointment-based tasks with specific timing for both pickup and delivery, ideal for time-sensitive service operations
Tookan - Create Delivery Task
Creates a focused delivery task with specified customer location and timing, streamlining the process of managing product deliveries to end customers
Name
Tookan API Call
Description
Make an authorized request to a Tookan API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "API path customization"]
Use Case
A delivery service company uses Tookan API Call to automatically update delivery task statuses and track driver locations in real-time, enabling them to provide accurate ETAs to customers and optimize their delivery routes.
Quick Start

Connect Tookan to Relevance AI in minutes

Security & Reliability

This integration enables seamless management of field workforce operations through Tookan's delivery management platform, utilizing secure OAuth authentication to ensure that only authorized workflows access your Tookan data. Relevance AI handles API operations (like creating, updating, and managing tasks) in the background—so you don’t have to worry about errors, formatting, or limits.

With built-in validation and type conversion, your workflows run smoothly, even when data formats vary. The integration allows you to programmatically create and manage various types of tasks (pickup, delivery, appointments) while leveraging Tookan's robust tracking and management capabilities.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Tookan + Relevance AI integration without writing code:
  • Start with a clear task structure: Define clear task types and ensure consistent data formats for addresses and datetime.
  • Utilize pre-built workflows: Relevance AI provides templates for common task types like deliveries and pickups, making it easy to get started.
  • Authenticate carefully: Double-check your OAuth credentials and permissions to ensure smooth integration.
  • Test with sample data: Validate your task creation and management processes using test data before deploying to production.
  • Monitor rate limits: Be aware of Tookan's API rate limits and implement exponential backoff for retries to avoid throttling.