OpenAI Email Classification - Application
This workflow utilizes advanced language models to automatically read and classify emails, focusing on the in-depth analysis and information extraction of job application emails. It can quickly identify the type of email and extract key information from the body and attachments, such as names, educational background, and work experience. By reducing manual processing time, it enhances the efficiency and accuracy of email management, making it suitable for various fields such as human resources, sales, and finance, thereby helping enterprises achieve intelligent office operations.
Tags
Workflow Name
OpenAI Email Classification - Application
Key Features and Highlights
This workflow leverages OpenAI's GPT-4 language model to automatically read and classify emails in the inbox, with a particular focus on in-depth analysis and information extraction from recruitment application emails. It can not only identify email categories (such as job applications, sales leads, invoices, and others) but also extract key information (e.g., name, age, location, education, work experience, personal traits) from the email body and attachments (such as resume PDFs), enabling intelligent and automated email processing.
Core Problems Addressed
Rapidly filtering and categorizing large volumes of emails by type, especially automatic recognition and key information extraction from recruitment application emails, thereby reducing manual reading and classification workload while improving processing efficiency and accuracy.
Use Cases
- HR departments automatically screening and managing recruitment application emails
- Sales teams quickly identifying and following up on sales lead emails
- Finance departments automatically categorizing and processing invoice emails
- Enterprise email systems automating classification to enhance email management efficiency
Main Workflow Steps
- Email Trigger: Monitor and read new emails via the IMAP protocol.
- Extract Data from Attachment: Automatically extract text content from email attachments (e.g., PDF resumes).
- Classify Email: Use the OpenAI GPT-4 model to classify the email content and attachment text into categories such as job application, sales lead, invoice, and others.
- Extract Variables - Email & Attachment: Further extract detailed information from job application emails, including applicant’s name, age, location, education, work experience, and personal traits.
- Based on classification results, connect to different sub-workflows (Workflow 2, Workflow 3, Workflow 4) for customized processing.
Involved Systems or Services
- IMAP Email Service: For real-time email retrieval.
- OpenAI GPT-4 Model: For email classification and information extraction.
- n8n Nodes: Including core nodes for email reading, file content extraction (PDF), text classification, and information extraction.
Target Users and Value
- Recruiters and HR teams: Automatically screen job application emails and quickly obtain key candidate information.
- Sales and customer support teams: Automatically identify sales lead emails to improve response speed.
- Finance teams: Efficiently manage invoice emails.
- Any enterprises or teams needing automated email classification and information extraction to boost work efficiency.
By enabling intelligent email processing, this workflow helps organizations save significant labor costs, enhance email management and response efficiency, and achieve office automation upgrades.
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