Automated ERPNext Applicant Screening with AI Integration
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Streamline your hiring process by automatically screening job applicants in ERPNext using AI. This workflow receives applicant data via webhook, retrieves job details, leverages AI for candidate assessment, and updates ERPNext with the screening results.
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About This Workflow
Overview
This n8n workflow automates the initial screening of job applicants within ERPNext. It starts by listening for new applicant submissions via a webhook. Upon receiving applicant data, it fetches the relevant job opening details from ERPNext. The core of the automation lies in using an AI model (Google Gemini in this case) to act as a recruitment specialist, evaluating the applicant's fit for the job based on their application and the job description. Finally, the AI's assessment (including fit level, score, and justification) is processed and updated back into the applicant's record in ERPNext.
Key Features
- Real-time applicant data ingestion via webhook.
- Dynamic retrieval of job opening details from ERPNext.
- AI-powered candidate assessment for fit, score, and justification.
- Automated status updates (e.g., 'Hold', 'Rejected') within ERPNext.
- Customizable AI prompt for role-specific recruitment.
How To Use
- Set up ERPNext Webhook: Configure a webhook in ERPNext to trigger on
Job Applicantdocument inserts. Ensure the webhook is set to send data to your n8n instance. - Configure Credentials: Set up and connect your ERPNext API credentials and your Google Gemini API credentials in n8n.
- Customize AI Prompt: Adjust the prompt in the
Google Gemini Chat Modelnode to define the AI's role as a recruitment specialist and specify the desired output format. - Map AI Output: Ensure the
Convert to Fieldscode node correctly parses the AI's output to extractfit_level,score,applicant_rating, andjustification_by_ai. - Define Logic: Configure the
If score less than 80node to determine if an applicant should be marked as 'Rejected'. - Test Thoroughly: Test the entire workflow with sample applicant data to ensure accurate data flow and AI assessment.
Apps Used
Workflow JSON
{
"id": "30e1c53a-3dcc-4299-9b8c-7b56f53fc63e",
"name": "Automated ERPNext Applicant Screening with AI Integration",
"nodes": 0,
"category": "HR & Recruitment Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 30e1c53a-3dcc...
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