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OpenAI e-mail classification - application

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Automated email classification workflow for OpenAI that efficiently sorts incoming emails into categories such as job applications, sales inquiries, and invoices. It extracts key applicant information from emails and attachments, streamlining the review process and enhancing productivity.

Workflow Overview

Automated email classification workflow for OpenAI that efficiently sorts incoming emails into categories such as job applications, sales inquiries, and invoices. It extracts key applicant information from emails and attachments, streamlining the review process and enhancing productivity.

This workflow is ideal for HR professionals, recruiters, and sales teams who handle numerous email inquiries and applications. It is particularly beneficial for:

  • HR Departments: Streamlining job applications and managing candidate information efficiently.
  • Sales Teams: Categorizing and following up on inbound leads to improve response times and conversion rates.
  • Administrative Staff: Automating the processing of invoices and other business-related emails to reduce manual work.

This workflow addresses the challenge of managing and classifying large volumes of emails, especially job applications and sales inquiries. It automates the following:

  • Email Categorization: Automatically classifying emails into categories such as job applications, sales inquiries, invoices, or others, ensuring no important communication is overlooked.
  • Data Extraction: Extracting relevant information from both email content and attachments, such as resumes, to facilitate quick decision-making.
  • Integration with AI: Leveraging AI to enhance the classification and information extraction processes, making them more accurate and efficient.
  1. Email Trigger: The workflow starts when a new email is received through the IMAP protocol.
  2. Extract Data from Attachment: If the email contains attachments (like resumes), this node extracts text from PDF files for further processing.
  3. Classify Email: The extracted email content and attachment data are analyzed to categorize the email into predefined categories (e.g., job application, inbound lead, invoice).
  4. Extract Variables: Key information such as the applicant's first name, last name, age, and relevant experience is extracted from the email and attachment for easy reference.
  5. OpenAI Integration: The workflow utilizes OpenAI's language model to enhance the classification and extraction processes, providing intelligent insights.
  6. Routing: Based on the classification, the workflow can route the data to different subsequent actions or processes as needed.

Statistics

10
Nodes
0
Downloads
26
Views
4525
File Size

Quick Info

Categories
Medium Workflow
Email Triggered
Complexity
medium

Tags

medium
noop
logic
conditional
sticky note
files
storage
langchain
+4 more

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