Automate Gmail Organization with AI-Powered Email Classification and Smart Labeling
📧 AI-Powered Gmail Auto-Labeling with Smart Classification
This n8n workflow automatically organizes your Gmail inbox by intelligently categorizing incoming emails and applying custom labels using AI-powered sentiment analysis. Say goodbye to manual email sorting and hello to an organized inbox!
Use Cases
- Business Email Management: Automatically sort partnership inquiries, meeting requests, and promotional emails
- Sales Team Automation: Identify and label cold outreach and high-priority leads
- Executive Assistants: Filter important meetings and urgent matters for busy professionals
- Marketing Teams: Separate promotional content from genuine business communications
Good to Know
- The workflow runs every minute to check for new emails
- Each email is processed only once - already labeled emails are automatically skipped
- Uses OpenAI's GPT model for accurate email classification (API costs apply)
- Processes emails in batches to handle multiple incoming messages efficiently
How It Works
- Gmail Trigger continuously monitors your inbox for new emails every minute
- Switch Node checks if emails already have labels (Other, Promotion, or Meeting) to avoid duplicate processing
- Loop Node processes emails in batches for efficient handling
- AI Classification analyzes the email's sender, subject, and content using OpenAI's GPT model to categorize into:
- Partnerships - Collaboration opportunities and B2B proposals
- Promotional - Marketing emails and newsletters
- Cold Outreach - Unsolicited sales emails and prospecting
- Meeting - Calendar invites and scheduling requests
- High Priority - Urgent matters requiring immediate attention
- Other - Everything else that doesn't fit the above categories
- Label Application automatically applies the appropriate Gmail label based on AI classification
- Loop Completion returns to process the next email in the batch
How to Use
- Set up your Gmail credentials to connect the workflow to your account
- Create custom labels in Gmail (or use the pre-configured label IDs in the workflow)
- Add your OpenAI API credentials for AI classification
- Activate the workflow and let it run automatically in the background
- Optionally adjust the polling frequency from "every minute" to your preference
Requirements
- Gmail OAuth2 credentials for email access and label management
- OpenAI API key for GPT-powered email classification
- Pre-created Gmail labels for each category (or modify label IDs in the workflow)
Customizing This Workflow
- Add More Categories: Extend the sentiment analysis node with additional email categories relevant to your business
- Adjust Classification Logic: Modify the AI prompt to better match your specific email patterns
- Change Polling Frequency: Update the Gmail trigger to check more or less frequently based on your email volume
- Add Actions: Extend each label branch to trigger additional actions like Slack notifications, database updates, or auto-replies
- Filter by Sender: Add conditions to the Switch node to handle VIP senders differently
Automate AI-Powered Email Classification and Smart Labeling
This n8n workflow automates the process of classifying and labeling emails using AI. It's designed to help you organize your Gmail inbox efficiently by understanding email content and applying appropriate labels.
What it does
This workflow performs the following key steps:
- Manual Trigger: The workflow is initiated manually, allowing you to control when the email classification process begins.
- HTTP Request (Fetch Emails): It makes an HTTP request to an external API (likely a custom endpoint or a service that retrieves emails, given the directory name) to fetch email data.
- Loop Over Items (Process Emails Individually): Each fetched email item is processed individually in a loop.
- Edit Fields (Prepare Email Content): Within the loop, the workflow prepares the email content for AI processing by setting up the necessary fields.
- Basic LLM Chain (AI Classification): The prepared email content is sent to a Language Model (LLM) chain for classification.
- OpenAI Chat Model (AI Engine): The LLM chain leverages an OpenAI Chat Model to analyze the email content and determine its category or intent.
- Structured Output Parser (Extract Classification): The AI's response is then parsed to extract the structured classification (e.g., category, priority, sentiment).
- Switch (Route based on Classification): Based on the AI's classification, the workflow uses a Switch node to route the email to different paths for further action (e.g., applying specific labels, sending notifications).
- Wordpress (Example Action): One of the potential branches from the Switch node leads to a Wordpress node, suggesting that classified emails could trigger actions like creating a post or updating content on a Wordpress site. This is an example of a possible action based on classification.
- Aggregate (Combine Results): After processing individual emails, the results are aggregated.
- Split Out (Further Processing): The aggregated results are then split out, likely for subsequent actions or reporting.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- OpenAI API Key: For the "OpenAI Chat Model" node to function, you'll need an OpenAI API key configured as a credential in n8n.
- Gmail Account (Implicit): While not directly configured in the provided JSON, the workflow's purpose (email classification and labeling) strongly implies interaction with a Gmail account or a similar email service, likely through the initial HTTP Request.
- External Email Fetching API/Service: The "HTTP Request" node suggests an external API or service is used to retrieve emails. You'll need access to and configuration details for this service.
- Wordpress Credentials (Optional): If you intend to use the Wordpress branch of the workflow, you will need a Wordpress account and corresponding n8n credentials.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Set up your OpenAI API Key credential in n8n.
- Configure any necessary credentials for the HTTP Request node if it requires authentication to fetch emails.
- If using the Wordpress node, configure your Wordpress credentials.
- Customize HTTP Request: Adjust the "HTTP Request" node to point to your email fetching API/service and include any required parameters for retrieving emails.
- Refine AI Classification:
- Review the "Basic LLM Chain" and "OpenAI Chat Model" configurations. You may need to customize the prompt or model settings to achieve the desired classification accuracy for your specific email types.
- Adjust the "Structured Output Parser" to correctly extract the classification data based on the AI's output format.
- Configure Switch Node: Customize the "Switch" node's conditions to define how emails should be routed based on the AI's classification (e.g., if category is "Marketing", then...).
- Define Actions:
- Modify or add nodes after the "Switch" node to perform specific actions based on the classification (e.g., add a Gmail label, send a Slack notification, update a CRM). The "Wordpress" node is an example; you can replace or augment it with other actions.
- Activate and Execute: Once configured, activate the workflow. You can then execute it manually using the "When clicking ‘Execute workflow’" trigger.
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