Train AI with ATS data

ATS
Efficiently train data models using candidate, application, and interview data

1. Authentication and connection

Your users authorize your application to access their ATS platform by going through an authorization flow using Merge Link.

2. Data retrieval from ATS

Utilize Merge's API endpoints, such as GET /candidates, GET /interviews, GET /applications, and GET /offers to retrieve comprehensive ATS data.

3. Data pre-processing

  • Clean the data by removing duplicates in your customer data, handling missing values, and filtering out irrelevant fields.
  • Transform data into a format suitable for AI training, possibly involving normalization, encoding, or feature engineering.

4. Model training

Validate the model's performance using the testing set. Compute relevant metrics to gauge the model's effectiveness.

5. Feedback loop

Continuously monitor ATS data for updates, changes, and new information and implement a feedback loop for model retraining and improvement to adapt.

6. Surface ATS insights

Build a UI to provide your customers with valuable insights generated by the AI models, such as using candidate data to identify top talents efficiently or ways to optimize your recruiting process.

Get started in automatically pulling ATS data to train AI with Merge

Integrate today or talk to our sales team to learn how Merge unlocks hundreds of integrations in days - not years.
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Key Models & Fields
job
rejected_at
source
current_stage
reject reason
company
title
attachments
tags
applications
closed_at
status
current_stage
job_interview_stage
status
Typical Sync Frequency
Highest
Industries
Talent Sourcing Applications
Candidate Engagement Software
Artificial Intelligence (AI) Software