This article provides a complete, practical walkthrough of the Shopify Onfleet Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Delivery Logistics: Creating Onfleet Tasks from Shopify Fulfillments with n8n
   
   Meta Description:  
   Streamline your e-commerce logistics with n8n. Learn how to automate Onfleet task creation every time a new fulfillment is created in Shopify using a no-code workflow.
   
   Keywords:  
   n8n workflow, Shopify automation, Onfleet integration, order fulfillment, delivery logistics automation, Shopify Onfleet workflow, e-commerce task automation, no-code shipping solution
   
   Third-Party APIs Used:
   
   - Shopify API
   - Onfleet API
   
   Article:
   
   In the fast-paced world of e-commerce, operational efficiency and real-time coordination between systems are key to delivering exceptional customer service. Manual processes and siloed systems often lead to delays and errors, especially when it comes to fulfillment and last-mile delivery logistics.
   
   Fortunately, modern automation tools like n8n can bridge these gaps without requiring complex coding. In this article, we’ll walk through a simple yet powerful automation that connects Shopify and Onfleet using an n8n workflow. The result: every time a new fulfillment is created in Shopify, a corresponding delivery task is automatically created in Onfleet—efficient, fast, and scalable.
   
   Why Automate Fulfillment with n8n?
   
   n8n is a powerful workflow automation tool that allows you to connect different applications using a visual, node-based system. Its ability to handle webhooks, API calls, and logic flows makes it ideal for automating e-commerce use cases.
   
   Shopify is one of the most widely used e-commerce platforms, offering merchants all the essentials to run an online store. On the other hand, Onfleet takes care of the last-mile delivery processes, helping companies manage drivers, optimize routes, and track deliveries in real-time.
   
   By integrating these two apps via n8n, businesses can seamlessly trigger delivery creation the moment an order is fulfilled—minimizing manual entry and human error.
   
   Overview of the Workflow
   
   The n8n workflow titled "Creating an Onfleet Task for a new Shopify Fulfillment" includes just two nodes, but they pack a powerful punch:
   
   1. Shopify Trigger Node  
      This node listens for fulfillment events in Shopify. It is configured to trigger when the topic fulfillments/create is emitted. This means whenever a fulfillment is created in the Shopify store—typically when an order is ready for shipment—this node will be activated.
   
   2. Onfleet Create Task Node  
      Once triggered, this node connects to the Onfleet API and creates a new delivery task. While this current configuration has no additional fields defined (such as destination, recipient, or pickup time), you can customize it as needed to fit your specific delivery operations.
   
   Step-by-Step Breakdown
   
   1. Shopify Trigger Setup  
      The workflow starts with a Shopify webhook trigger specifically listening for the fulfillments/create event. This ensures that the automation activates only when an order transitions into the fulfillment stage, indicating it's ready to be shipped or picked up for delivery.
   
   2. Onfleet Task Creation  
      Once triggered, n8n immediately sends the fulfillment data to Onfleet using the Onfleet Create Task Node. Depending on your Onfleet setup, this could include details like delivery address, recipient contact information, or even geolocation data if mapped properly.
   
   Because this sample workflow does not yet include field mappings, it assumes you're building the foundation. You can enrich this workflow by using n8n’s built-in features like the Set node or Function node to extract, transform, and map Shopify order information into required Onfleet task parameters.
   
   Benefits of This Integration
   
   - ⏱ Time Savings: No need for staff to manually enter delivery details into Onfleet every time a Shopify order is fulfilled.
   - ✅ Accuracy: Reduces the risk of human error by transferring data automatically and accurately across systems.
   - 🚀 Scalability: As order volumes increase, the workflow scales effortlessly without requiring additional resources.
   - 📦 Real-Time Response: Fulfillments trigger delivery creation instantly, ensuring quicker delivery turnarounds.
   
   How to Customize
   
   While the barebones workflow includes only the essential steps to connect Shopify to Onfleet, it can be extended to include:
   
   - Customer notifications via email or SMS
   - Assignment of specific drivers in Onfleet
   - Real-time updates sent back to Shopify once a delivery is complete
   - Conditional logic (e.g., only create Onfleet task if the shipping method is "local delivery")
   
   Security and Credentials
   
   n8n securely manages your Shopify and Onfleet credentials by storing them in encrypted vaults. In this example:
   
   - The Shopify API credentials are referenced by ID "6"
   - The Onfleet API Key is stored under ID "2"
   
   Always ensure proper access control and credential management when configuring production workflows.
   
   Conclusion
   
   Automating your e-commerce logistics with n8n can directly impact operational efficiency and customer satisfaction. By connecting Shopify and Onfleet through a simple two-node workflow, businesses can significantly reduce the time and errors associated with manual task creation.
   
   Whether you're managing 10 or 10,000 orders a day, this integration helps you scale fulfillment and delivery processes with ease. You now have a base workflow that can be extended and customized to suit even the most complex logistics needs, all within the power of a no-code platform.
   
   Start building smarter workflows—your operations team (and your customers) will thank you.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.