Automate ERPNext Job Applicant Screening with AI
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Streamline your recruitment process by automatically screening and shortlisting job applicants in ERPNext using AI. This workflow leverages n8n to trigger actions based on new applicant data, process resumes, and update applicant status.
About This Workflow
This powerful n8n workflow automates the initial stages of your recruitment process within ERPNext. It begins by capturing new job applicant data via webhooks, then intelligently processes attached resumes and applicant information. Leveraging AI, it performs detailed candidate assessments, providing insights into fit, score, and justification. Based on these AI-driven evaluations, the workflow automatically updates applicant statuses in ERPNext, such as 'Hold' or 'Rejected', or prepares them for further review. This significantly reduces manual effort, ensures consistent screening, and allows your HR team to focus on top-tier candidates.
Key Features
- Automated Applicant Data Capture: Trigger the workflow instantly when a new job applicant is created in ERPNext.
- AI-Powered Candidate Assessment: Utilize advanced AI models to evaluate candidate suitability against job descriptions.
- Intelligent Status Updates: Automatically update applicant statuses in ERPNext based on AI-driven scores and justifications.
- Resume and Document Processing: Capable of processing text-based documents (PDFs, Word files) for applicant data extraction.
How To Use
- Configure ERPNext Webhooks: Set up a webhook in ERPNext to trigger on the 'Job Applicant' doctype when a new record is inserted. Point this webhook to your n8n instance.
- Extract Applicant Data: Use the 'Set' node to capture and structure the incoming webhook data, making it easily accessible for subsequent nodes.
- Conditional Logic: Implement 'If' nodes to manage different scenarios, such as checking if a resume is attached or if the applicant applied for a specific job opening.
- Document Processing (Optional): If resumes are attached and require text extraction, use appropriate n8n nodes to convert them into a processable format (e.g., PDF to Text).
- AI Assessment: Configure the AI node (e.g., Google Gemini) with a detailed prompt that defines your recruitment specialist persona and evaluation criteria. Pass the extracted applicant and job description data to the AI for scoring and justification.
- Update ERPNext Records: Use ERPNext nodes to update the applicant's status (e.g., 'Hold', 'Rejected') based on the AI's assessment, or prepare the data for manual review by formatting it into appropriate ERPNext fields.
Apps Used
Workflow JSON
{
"id": "d9294d15-c3ef-40a8-b3d8-0ac1544d8611",
"name": "Automate ERPNext Job Applicant Screening with AI",
"nodes": 22,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: d9294d15-c3ef...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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