n8n Templates - AI-Powered Workflow Library

Send Shopify shipping tracking WhatsApp notifications with full tracking info

Order Fulfillment & Shipping Notification System Automatically notify customers via WhatsApp when their orders ship, with intelligent phone validation, multi-country support, and bilingual messaging including complete tracking information. What does this workflow do? When you fulfill an order in Shopify, this workflow instantly updates your database, validates the customer's phone number across 23+ countries, and sends a professional WhatsApp notification with full tracking details in their preferred language. Key features: 🌍 23+ Country Phone Validation - Automatically detects and formats phone numbers for GCC, MENA, and international customers 📦 Complete Tracking Info - Includes tracking number, courier name, and clickable tracking URL 🌐 Smart Bilingual Messaging - Arabic and English with luxury brand tone 💾 Real-time Database Sync - Updates order status and shipping details instantly 🔒 Test Number Protection - Blocks notifications to development phone numbers ✨ Personalized Messages - Addresses customers by first name ⏱️ Delivery Expectations - Communicates clear 7-12 business day timeline 🎯 International Format - Handles phone numbers with automatic country code detection Setup Requirements Integrations Needed: Shopify - For order fulfillment webhooks PostgreSQL - For order and customer data storage WhatsApp Business API - For sending notifications via Facebook Graph API Credentials Required: Shopify Access Token (with fulfillment webhook permissions) PostgreSQL database credentials WhatsApp Business API Bearer Token (Facebook Graph API v18.0) How to Use Import the workflow into your n8n instance Configure credentials: Add your Shopify store access token Connect your PostgreSQL database Add your WhatsApp Business API credentials Update test phone numbers in filter nodes (If10 and If11) with your actual test numbers Customize brand name in WhatsApp message templates if needed (currently "" / "") Activate the workflow to start sending shipping notifications Workflow Structure 1. Trigger (Shopify Webhook) Listens for fulfillments/create events when orders are marked as shipped in Shopify 2. Update Order Status Updates PostgreSQL database with: Status changed to 'shipped' Shipping company name Tracking number 3. Customer Lookup Retrieves customer record from database using phone number from fulfillment data 4. Phone Validator (Code Node) Intelligent phone number formatting: Detects country from shipping address Validates and cleans phone number Adds appropriate country code if missing Supports 23 countries across GCC, MENA, and international markets Ensures proper international format (+CountryCode) 5. Get Customer Preferences Retrieves language preference and first name for personalization 6. Language Detection Routes workflow based on customer's preferred language (Arabic vs. English) 7. Test Number Filter Prevents notifications to internal/development phone numbers 8. WhatsApp Notification Sends comprehensive shipping notification with tracking details in customer's language Supported Countries & Codes GCC Region: 🇴🇲 Oman (968) 🇦🇪 UAE (971) 🇸🇦 Saudi Arabia (966) 🇰🇼 Kuwait (965) 🇶🇦 Qatar (974) 🇧🇭 Bahrain (973) MENA Region: 🇯🇴 Jordan (962) 🇪🇬 Egypt (20) 🇮🇶 Iraq (964) 🇱🇧 Lebanon (961) 🇸🇾 Syria (963) 🇵🇸 Palestine (970) 🇾🇪 Yemen (967) International: 🇺🇸 USA (1) 🇬🇧 UK (44) 🇩🇪 Germany (49) 🇫🇷 France (33) 🇮🇹 Italy (39) 🇪🇸 Spain (34) 🇹🇷 Turkey (90) 🇮🇳 India (91) 🇵🇰 Pakistan (92) Message Templates Arabic Message (عربي): مرحبًا [الاسم]، يسرّنا إعلامكم بأنه تم شحن طلبكم بنجاح. رقم الطلب: [order_id] رقم التتبع: [tracking_number] شركة الشحن: [courier_name] رابط التتبع: [tracking_url] المدة المتوقعة للتوصيل: من 7 إلى 12 يوم عمل. يمكنكم متابعة حالة الشحنة عبر رقم التتبع، وسنحرص على إبقائكم على اطلاع حتى استلام الطلب. مع أطيب التحيات، English Message: Hello [Name], We are pleased to inform you that your order has been shipped successfully. Order No: [order_id] Tracking No: [tracking_number] Courier Company: [courier_name] Tracking URL: [tracking_url] Estimated delivery time: 7–12 business days. You may track your shipment using the tracking number provided. We will continue to keep you informed until your order is delivered. Kind regards, Database Schema Requirements Orders Table: CREATE TABLE orders ( order_id VARCHAR PRIMARY KEY, -- Shopify order number status VARCHAR, -- Order status ('open', 'shipped', 'delivered', 'canceled') shipping_company VARCHAR, -- Courier service name tracking_number VARCHAR, -- Package tracking ID customer_id INTEGER -- Foreign key to customers table ); Customers Table: CREATE TABLE customers ( id SERIAL PRIMARY KEY, website_id INTEGER, -- Shopify customer ID phone VARCHAR, -- Customer phone number language VARCHAR(2), -- Preferred language ('ar' or 'en') first_name VARCHAR, -- Customer first name last_name VARCHAR -- Customer last name ); Phone Validator Logic The Phone Validator node intelligently handles phone numbers: Extracts phone from fulfillment data (checks destination.phone, shipping_address.phone, or root phone) Detects country from destination.country_code (defaults to 'OM' if not provided) Cleans number by removing whitespace and non-numeric characters (except +) Validates length (minimum 5 digits required) Checks for country code in the number Adds country code automatically if missing based on shipping country Ensures + prefix for international format Returns: phone: Formatted number with country code (+XXX) original_phone: Raw input for reference country_code: ISO country code validation_status: 'success' or 'empty_or_invalid' Customization Tips Add more countries**: Extend the countryCodes object in Phone Validator node Change brand name**: Update "" / "" in WhatsApp message nodes Adjust delivery time**: Modify "7–12 business days" to match your actual shipping times Add more languages**: Create additional language detection branches (e.g., French, Spanish) Include product details**: Extend database query to fetch order items and include in message Add delivery date estimates**: Calculate and include specific delivery date ranges Email notifications**: Add email nodes for customers who prefer email SMS fallback**: Add SMS nodes for customers without WhatsApp Use Cases E-commerce stores shipping to multiple countries Luxury brands requiring premium communication Businesses with Arabic and English speaking customers International retailers with GCC and MENA presence Multi-channel sellers needing unified shipping notifications Stores using various courier services (DHL, FedEx, Aramex, etc.) Error Handling Empty phone numbers**: Workflow marks as 'empty_or_invalid' and skips notification Invalid formats**: Phone validator attempts to fix common issues Missing data**: Uses fallback values (e.g., 'OM' for country, 'en' for language) SQL injection protection**: Single quotes escaped in database queries Test number blocking**: Prevents accidental notifications during testing Performance Notes Execution time**: ~2-3 seconds per order Database queries**: 3 total (1 UPDATE, 2 SELECT) API calls**: 1 WhatsApp message per order Scalability**: Handles concurrent fulfillments independently Rate limits**: WhatsApp Business API applies standard rate limits Technical Notes WhatsApp API Version: v18.0 Phone API format: Country code without '+' (e.g., 962798087441) Database: PostgreSQL with prepared statements Default country: Oman (+968) Default language: English if not specified Workflow processes one fulfillment at a time (runOnceForEachItem) Tags: #shopify #whatsapp #fulfillment #shipping #tracking #bilingual #arabic #english #phone-validation #ecommerce #notifications #international

BeginnerManual Trigger

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1

by Mira Melhem

Validate and orchestrate lawsuit responses with OpenAI and Google Sheets

How It Works This workflow automates the complex process of managing lawsuit responses through intelligent task validation and multi-authority coordination. Designed for legal departments, compliance teams, and government agencies handling litigation matters, it solves the critical challenge of ensuring timely, accurate responses while maintaining proper oversight across multiple organizational levels. The system receives lawsuit notifications, validates critical information, and intelligently routes tasks based on authority levels. It orchestrates human oversight at strategic checkpoints, merges authority paths for comprehensive review, and generates detailed orchestration reports. By automating document preparation and multi-trail logging, it ensures accountability while reducing manual coordination overhead. The workflow seamlessly integrates validation results, manages execution plans, and prepares final responses through systematic processes, ultimately delivering compliant lawsuit responses through secure multi-trail communication channels. Setup Steps Configure Workflow Execution Webhook trigger endpoint Connect Workflow Configuration node with workflow parameters Set up Prepare Request Data node with lawsuit data structure mapping Configure Fetch Authority Rules node with OpenAI/Nvidia API credentials Connect Check Validation Result node with boundary enforcement parameters Configure Human Checkpoint nodes (High/Medium Authority) with approval routing Set up Merge Authority Paths node for consolidation logic Configure Orchestration Export node with Google Sheets credentials Prerequisites OpenAI or Nvidia API credentials for validation processing, Google Sheets access for orchestration logging Use Cases Government litigation departments managing multi-level approval workflows Customization Modify authority routing logic for organizational hierarchies Benefits Reduces response coordination time by 70%, eliminates manual routing errors

Beginner

Categorise and label Gmail emails with GPT-4o and OpenAI

Automatically organise your Gmail inbox using AI. This workflow categorises every incoming email and applies Gmail labels, keeping only important emails in your inbox while filing everything else automatically. Who is this for? Anyone overwhelmed by email clutter who wants inbox zero without manual sorting. How it works Gmail Trigger polls your inbox for new emails every minute AI Categorisation (GPT-4o) analyses each email and assigns a category such as Action Required, Newsletters, Sales Pitches, Client Communication, Receipts, and more Filter checks if the email requires your attention or can be auto-filed Label Management removes non-actionable emails from inbox and applies the appropriate Gmail label Prerequisites Gmail account with OAuth2 access OpenAI API key Gmail labels created for each category you want to use Setup steps Import the workflow and connect your Gmail OAuth2 credentials Add your OpenAI API key Create Gmail labels matching your categories such as Action Required, Newsletters, People Selling Me Stuff, Admin/Receipts Run the Get many labels node manually to retrieve your label IDs Update the Add to folder node with your label ID mapping using the example in the pink sticky note Customise the AI prompt categories to match your workflow needs Test with a few emails before activating

Generate AI sales proposals using Anthropic Claude, PDF Noodle and your CRM

What This Workflow Does Triggers via webhook connected to your CRM Maps all the fields needed for the proposal Transforms customer data and transcription into a formatted output using an AI Agent Generates a custom PDF proposal using PDF Noodle Sends the proposal via email (you can change this to send using other formats as well) Setup Guide Create a pdf noodle account and use AI to create a custom proposal for your brand. Connect your CRM webhook and Gmail (with OAuth2 permissions) to n8n Configure the AI Agent with your preferred model (OpenAI, Anthropic, Google, or Ollama) Requirements PDF Noodle** access: Create here AI API access** (e.g. via OpenAI, Anthropic, Google, or Ollama) Google OAuth2** connected (with Gmail permission): Documentation Feel free to contact me via LinkedIn if you have any questions! 👋🏻

BeginnerManual Trigger

0

Escalate negative Facebook Page reviews to Slack and Supabase tickets

Facebook Page Negative Review Watchdog → Slack Escalation + Supabase Ticket This workflow automatically monitors Facebook Page reviews, detects negative feedback (≤ 2 stars), alerts the support team via Slack and attempts to create a support record in Supabase with built-in error handling. This workflow listens for Facebook Page reviews through a webhook. When a review with a rating of 2 stars or less is received, the workflow prepares and standardizes the incoming data, sends an immediate Slack alert to the support team and attempts to store the review as a support record in Supabase. If the database operation fails, a fallback Slack alert is triggered with the relevant error details. You receive: Instant Slack alerts for negative Facebook reviews.** Centralized data preparation via a global configuration step.** Automated support record creation.** Error visibility if storage fails.** No manual monitoring of Facebook reviews.** Ideal for customer support teams that want immediate visibility and structured tracking of negative customer feedback. Quick Start – Implementation Steps Import the provided n8n workflow JSON. Configure the Facebook Page Review Trigger webhook URL in your Facebook integration. Review and adjust the Global Configuration node to match your incoming payload structure. Connect your Slack credentials and select the channel for alerts. Connect your Supabase credentials and configure the table used for storage. Activate the workflow — monitoring starts instantly. What It Does This workflow automates negative review handling: Receives Facebook Page review data via a webhook. Prepares and standardizes key review fields using a global configuration step. Checks whether the review rating is ≤ 2 stars. Sends a formatted Slack alert to the support team with full review context. Attempts to create a support record in Supabase. Detects Supabase insert failures. Sends a fallback Slack alert including the Supabase error message if record creation fails. This ensures no negative review is missed, even if downstream storage encounters issues. Who’s It For This workflow is ideal for: Customer support teams. Social media monitoring teams. SaaS companies handling public feedback. Operations teams needing visibility into failures. Product teams tracking user dissatisfaction. Any business receiving Facebook Page reviews. Requirements To run this workflow, you need: n8n instance** (cloud or self-hosted) Facebook Page review integration** (webhook-based) Slack workspace** with API access Supabase project** with insert permissions Basic understanding of JSON payloads and webhooks How It Works Facebook Page Review Trigger Receives new review data via POST webhook. Global Configuration Maps and standardizes incoming review fields such as rating, review text, reviewer name and page name for consistent downstream usage. Check Negative Review (≤ 2 Stars) Filters reviews and allows execution only for negative ratings. Slack – New Negative Review Alert Sends an immediate Slack notification with: Page name Reviewer name Rating Review text Create Support Case (Supabase) Attempts to store the review as a support record. Check Case Creation Failure Verifies whether the Supabase insert returned an error. Slack – Case Creation Failed Alert Sends a fallback Slack alert including review context and Supabase error details. Setup Steps Import the workflow JSON into n8n. Open Facebook Page Review Trigger and copy the webhook URL. Configure your Facebook system to send review events to this webhook. Review the Global Configuration node and update field mappings if needed. Connect Slack API credentials and select the desired channel. Connect Supabase credentials and configure the target table. Save and activate the workflow. How To Customize Nodes Customize Review Threshold Modify the Check Negative Review (≤ 2 Stars) IF node: Change the rating threshold (e.g., ≤ 1 or ≤ 3) Add additional conditions such as page name or keywords Customize Slack Alerts You may add: Emojis for urgency Mentions (@channel, @support) Links to the Facebook review Severity labels (LOW / HIGH) Customize Data Storage You can extend stored data with: Review timestamp Review ID Review URL Status (Open / In Progress / Resolved) Assigned support agent Add-Ons (Optional Enhancements) You can extend this workflow to: Prevent duplicate review inserts Add retry logic for storage failures Route alerts to different Slack channels per page Create dashboards from stored review data Integrate ticketing tools (Zendesk, Jira) Add sentiment analysis using AI Generate daily or weekly negative review summaries Use Case Examples 1. Customer Support Monitoring Instant awareness of dissatisfied customers. 2. Social Media Reputation Management No need to manually check Facebook reviews. 3. SLA Enforcement Ensure negative feedback is logged and tracked. 4. Operations Visibility Error alerts ensure failures never go unnoticed. 5. Product Feedback Loop Capture recurring complaints for product improvement. Troubleshooting Guide | Issue | Possible Cause | Solution | |-----|---------------|----------| | Slack alert not sent | Invalid Slack credentials | Reconnect Slack API | | Storage insert fails | Table or permission issue | Verify table and access rules | | Error alert always triggers | Incorrect IF condition | Validate error field mapping | | Workflow not running | Workflow inactive | Activate workflow | | Webhook not firing | Incorrect URL | Re-check webhook configuration | Need Help? If you need help extending or productionizing this workflow like adding retries, scaling alerts, improving error handling or integrating additional systems — our n8n automation team at WeblineIndia can assist with advanced automation and workflow design.

Send post-purchase email sequences with Postgres, Gmail and OpenAI

How it works This workflow automates customer communication after an order is placed. It detects new orders, sends a confirmation email, waits until delivery is completed, and then follows up with AI-generated product tips. Finally, it sends AI-powered upsell recommendations after a defined delay. The workflow runs on a schedule and requires no manual handling. Step-by-step Step 1 — Order detection and confirmation** Schedule Trigger – Runs at a fixed interval to check for new orders. Postgres – Execute a SQL query – Fetches recently created orders from the database. Gmail – Send message – Sends an order confirmation email to the customer. Step 2 — Delivery status monitoring** Wait – Pauses the workflow until the expected delivery window. Postgres – Select rows – Checks the delivery status of the order. If – Verifies whether the product is marked as delivered. Wait – Delays one day and repeats the check if delivery is not completed. Step 3 — Product usage tips (AI)** OpenAI – Message a model – Generates short and practical usage tips for the product. Code – Formats the AI output into clean HTML bullet points. Gmail – Send message – Emails the usage tips to the customer. Step 4 — Upsell recommendations (AI)** Wait – Delays for two weeks after tips are sent. OpenAI – Message a model – Creates complementary product recommendations. Code – Formats the recommendations for email delivery. Gmail – Send message – Sends the upsell email to the customer. Why use this? Ensures timely and relevant customer communication Prevents sending tips before the product is delivered Improves onboarding with AI-generated usage guidance Increases repeat purchases through smart upsell emails Fully automated using database, email, and AI integrations

BeginnerManual Trigger

Send weekly low‑stock alerts from WooCommerce to Slack and Jira

(Retail Automation) Low-Stock Alerts to Slack This workflow automates the process of managing product inventory levels, categorizing them into low stock and urgent low stock, sending alerts to Slack and creating Jira issues for urgent low stock products. This workflow runs weekly and helps inventory and operations teams stay ahead of stock issues. It fetches products from WooCommerce, categorizes them based on stock thresholds and sends alerts about low stock and urgent low stock products. It also creates Jira issues for urgent stock shortages to ensure immediate action. Additionally, the workflow provides detailed Slack alerts for easy tracking. You receive: Weekly automated low stock and urgent low stock alerts Slack summaries for quick review Jira issues for urgent stock items Ideal for inventory managers and teams using WooCommerce, Slack and Jira. Quick Start – Implementation Steps Import the provided n8n workflow JSON file. Add your WooCommerce credentials in the relevant nodes. Add your Slack API credentials to send alerts. Add your Jira API credentials to create issues for urgent stock. Activate the workflow — it will run automatically every Monday at midnight. What It Does This workflow automates inventory tracking and alerting for products with low and urgent low stock levels: Fetches all active products from WooCommerce. Categorizes products into low stock and urgent low stock based on predefined thresholds. Generates alerts for low stock products, sending them to a designated Slack channel. Creates Jira issues for products with urgent low stock. Sends Slack alerts with key product details, stock levels and categories. Notifies teams of urgent stock issues that require immediate attention. This ensures teams can quickly respond to inventory issues and avoid stockouts. Who's It For This workflow is ideal for: Inventory managers Operations teams WooCommerce users Teams using Jira for issue tracking Teams using Slack for real-time alerts Requirements To run this workflow, you need: n8n instance (cloud or self-hosted) WooCommerce account with API access Slack workspace with API permissions Jira Software Cloud account for issue creation Basic understanding of product inventory management How It Works Weekly Trigger – The workflow automatically runs every Monday at midnight. Fetch Products – Retrieves all products from WooCommerce. Categorize Products – Categorizes products into low stock and urgent low stock. Generate Slack Alerts – Sends messages to the respective Slack channels for low and urgent low stock items. Create Jira Issue – If urgent low stock items exist, a Jira issue is created with product details. Send Summary Alerts – Sends a clear summary to Slack with product details and Jira ticket information. Setup Steps Import the workflow JSON file into n8n. Add WooCommerce credentials to the relevant nodes. Add Slack API credentials for sending alerts. Add Jira credentials to create issues for urgent low stock. Activate the weekly trigger to automatically run every Monday. How To Customize Nodes Threshold Adjustments Modify the Separate products to low stock and very low stock node to adjust the stock thresholds for different product categories. Slack Alerts You can customize the format of Slack alerts in the Send Low Stock Alert to Slack and Send Urgent Low Stock Alert to Slack nodes, including changing message text, adding emojis or mentioning team members. Jira Issues In the Create an Issue in Jira node, you can adjust the issue summary, description and priority based on your team's needs. Add-Ons (Optional Enhancements) Integrate additional stock management systems for more robust tracking. Customize Jira issue types based on different urgency levels. Add product tags or descriptions to enhance Slack alerts. Implement custom notifications for specific product categories. Use Case Examples 1. Proactive Inventory Management Identify products that are about to run out and take corrective actions before stockouts occur. 2. Issue Tracking for Urgent Stock Create Jira tickets for products with urgent low stock and prioritize restocking. 3. Real-Time Alerts Keep your team informed in real time with Slack messages about low and urgent low stock products. Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|----------| | No Slack alerts | Invalid credentials | Re-check Slack API key and channel | | WooCommerce products not fetched | WooCommerce API error | Verify WooCommerce credentials | | Jira issue not created | Incorrect Jira configuration | Ensure Jira API permissions are correct | | Missing products in categorization | Incorrect stock thresholds | Update product thresholds in the node | Need Help? For help customizing or extending this workflow like adding advanced stock alerts, integrating additional tools or extending AI insights, feel free to reach out to our n8n workflow development team at WeblineIndia. We're happy to assist with advanced inventory management automation solutions.

Sync Shopify customers to Zoho CRM contacts with value-based scoring

(Retail Automation) Shopify to CRM Contact Sync This workflow automates the synchronization of customer data between Shopify and Zoho CRM. It triggers when a new customer or order is created in Shopify, calculates key metrics like lifetime spend and high-value status and then checks Zoho CRM to either update an existing contact or create a new one. This ensures your sales and marketing teams always have up-to-date purchase history and engagement data within the CRM. Quick Implementation Steps Set the minOrderValueForHighValueTag and lifetimeSpendThreshold in the Workflow Configuration node. Configure your Shopify Trigger with your Shopify Access Token and ensure it is listening for the correct topic (e.g., customers/create). Connect your Zoho CRM OAuth2 credentials to the Search, Create and Update nodes. Map any additional custom fields you wish to sync in the Update Existing Contact or Create New Contact nodes. What It Does This workflow bridges the gap between your e-commerce platform and your CRM by processing customer activity in real-time. When a customer interacts with your Shopify store, the workflow: Calculates Value Metrics: It extracts the order total and customer history to determine if a customer is "High Value" based on your custom thresholds. Performs an Identity Check: It searches Zoho CRM to see if the customer already exists using their contact information. Synchronizes Data (Upsert): If the contact exists: It updates their record with an "Engagement Score" (based on lifetime spend) and "Mentions Counts" (based on order count). If the contact is new: It creates a new record in Zoho CRM using the details provided from the Shopify order. Who’s It For E-commerce Managers wanting to ensure Shopify customer data is accurately reflected in their primary CRM. Customer Success Teams who need visibility into customer lifetime value and order frequency directly within Zoho. Marketing Operations teams looking to segment customers in Zoho CRM based on purchase behavior (e.g., "High Value" tags). Requirements to Use This Workflow A running n8n instance. Shopify account with API access (Access Token). Zoho CRM account with access to the "Contacts" module. Proper permissions to create Webhooks in Shopify. How It Works & How To Set Up Step 1: Configure Trigger and Thresholds Shopify New Customer or Order: Configure this trigger to your Shopify store. It currently listens for customers/create. Workflow Configuration: Open this node to define your business logic constants: minOrderValueForHighValueTag: Set the minimum price of a single order to be considered "High Value" (Default: 500). lifetimeSpendThreshold: Set the threshold for total customer spend (Default: 1000). Step 2: Data Extraction Extract Customer Data: This node automatically parses the Shopify JSON to calculate orderTotal, lifetimeSpend and checks the boolean isHighValue against your configuration. Step 3: CRM Logic Search for Existing Contact: This node queries Zoho CRM for a matching contact. Contact Exists?: A conditional node that routes the workflow based on whether a Zoho id was found in the previous step. Step 4: Update or Create Update Existing Contact: Updates the Engagement_Score with the lifetime spend and Mentions_Counts with the order count. Create New Contact: Creates a new entry if no match is found. Note: Current configuration uses the first line item name as a placeholder for Last Name; adjust this to your preferred mapping. How To Customize Nodes Change High-Value Criteria Modify the expressions in the Workflow Configuration node to change what qualifies as a high-value customer. Map Custom Zoho Fields In the Update Existing Contact node, you can add more fields under updateFields to sync additional Shopify data (like shipping address or customer tags) into specific Zoho custom fields. Adjust Trigger Events Change the Shopify Trigger topic to orders/paid if you only want to sync customers after a successful transaction rather than at account creation. Troubleshooting Guide | Issue | Possible Cause | Solution | | :------------------------- | :---------------------------------------------- | :----------------------------------------------------------------------------------------------------- | | Trigger not firing | Webhook not registered or invalid Access Token. | Check Shopify credentials and ensure the "Active" toggle in n8n is on. | | Zoho Update Fails | The Contact ID is missing or incorrect. | Ensure the Search for Existing Contact node is returning a valid id. | | Incorrect Data Mapping | Shopify JSON structure changed. | Inspect the output of the Extract Customer Data node and update the expressions if fields are missing. | | Auth Errors | Zoho OAuth2 token expired. | Re-connect your Zoho CRM account in the n8n credentials settings. | Need Help? If you need assistance mapping specific Shopify metafields to Zoho, setting up advanced filtering logic or expanding this sync to include Product or Inventory data, feel free to reach out our n8n experts at WeblineIndia. We can help you build a robust retail automation stack.

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Send Shopify shipping tracking WhatsApp notifications with full tracking info

Send Shopify shipping tracking WhatsApp notifications with full tracking info

Validate and orchestrate lawsuit responses with OpenAI and Google Sheets

Validate and orchestrate lawsuit responses with OpenAI and Google Sheets

Categorise and label Gmail emails with GPT-4o and OpenAI

Categorise and label Gmail emails with GPT-4o and OpenAI

Generate AI sales proposals using Anthropic Claude, PDF Noodle and your CRM

Generate AI sales proposals using Anthropic Claude, PDF Noodle and your CRM

Escalate negative Facebook Page reviews to Slack and Supabase tickets

Escalate negative Facebook Page reviews to Slack and Supabase tickets

Send post-purchase email sequences with Postgres, Gmail and OpenAI

Send post-purchase email sequences with Postgres, Gmail and OpenAI

Send weekly low‑stock alerts from WooCommerce to Slack and Jira

Send weekly low‑stock alerts from WooCommerce to Slack and Jira

Sync Shopify customers to Zoho CRM contacts with value-based scoring

Sync Shopify customers to Zoho CRM contacts with value-based scoring

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Send Shopify shipping tracking WhatsApp notifications with full tracking info

Send Shopify shipping tracking WhatsApp notifications with full tracking info

Validate and orchestrate lawsuit responses with OpenAI and Google Sheets

Validate and orchestrate lawsuit responses with OpenAI and Google Sheets

Categorise and label Gmail emails with GPT-4o and OpenAI

Categorise and label Gmail emails with GPT-4o and OpenAI

Generate AI sales proposals using Anthropic Claude, PDF Noodle and your CRM

Generate AI sales proposals using Anthropic Claude, PDF Noodle and your CRM

Escalate negative Facebook Page reviews to Slack and Supabase tickets

Escalate negative Facebook Page reviews to Slack and Supabase tickets

Send post-purchase email sequences with Postgres, Gmail and OpenAI

Send post-purchase email sequences with Postgres, Gmail and OpenAI

Send weekly low‑stock alerts from WooCommerce to Slack and Jira

Send weekly low‑stock alerts from WooCommerce to Slack and Jira

Sync Shopify customers to Zoho CRM contacts with value-based scoring

Sync Shopify customers to Zoho CRM contacts with value-based scoring