Integrations

Supercharge AfterShip with Relevance AI

AfterShip is an integration platform that enables efficient shipment tracking and management within your applications. With Relevance AI, you can elevate your post-purchase experience by leveraging AI Agents to automate tracking updates and notifications.

Give your AI Agents AfterShip Superpowers

AfterShip provides robust shipment tracking and management capabilities, while Relevance AI empowers you to automate and optimize these processes with intelligent AI Agents that can adapt and respond to real-time data.

Global Shipping Intelligence

Empowers AI agents with real-time tracking data across 900+ carriers worldwide for comprehensive shipment visibility

Predictive Delivery Orchestration

Enables agents to forecast delivery issues and proactively initiate resolution workflows before problems escalate

Cross-Border Logistics Fluency

Grants agents deep understanding of international shipping requirements and documentation needs

Tools

Equip AI Agents with the AfterShip Tools they need

Relevance AI integrates seamlessly with AfterShip to enhance your shipment tracking workflows.

AfterShip - Update Tracking
Updates existing shipment tracking information in AfterShip, allowing modification of delivery details, customer notifications, and shipping status for enhanced post-purchase experience
AfterShip - Create Tracking
Creates new shipment tracking entries in AfterShip system, enabling businesses to initiate package tracking and set up customer notification preferences for shipment updates
AfterShip - Create Tracking
Creates new shipment tracking entries in AfterShip system, enabling businesses to initiate package tracking and set up customer notification preferences for shipment updates
AfterShip - Get Tracking
Retrieves detailed tracking information for a specific shipment from AfterShip, providing access to current status, location, and delivery updates
Name
AfterShip API Call
Description
Make an authorized request to a AfterShip API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
An ecommerce business uses the AfterShip API integration to automatically fetch real-time tracking updates for thousands of shipments and sync the data with their order management system, enabling them to proactively notify customers about delivery status changes and reduce support inquiries.
Quick Start

Connect AfterShip to Relevance AI in minutes

Security & Reliability

The AfterShip integration utilizes secure OAuth authentication, ensuring that only authorized workflows can access your shipment tracking data. Relevance AI manages API operations (such as creating, updating, and retrieving tracking information) in the background—eliminating concerns about errors, formatting, or limits.

With built-in validation and type conversion, your workflows will operate seamlessly, even when dealing with varying data formats. This integration provides a comprehensive post-purchase experience for your customers, allowing for automated shipment tracking creation and updates, real-time status monitoring, and customizable notifications.

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 AfterShip + Relevance AI integration without writing code:
  • Start with accurate tracking data: Ensure tracking numbers and carrier information are correct to avoid errors.
  • Utilize automated notifications: Set up customizable notifications to keep customers informed about their shipment status.
  • Monitor API usage: Keep an eye on your API call limits to prevent throttling and ensure smooth operation.
  • Test tracking updates: Validate tracking updates with test data before implementing them in a live environment.
  • Implement error handling: Use try-catch blocks to manage potential errors gracefully and provide feedback to users.