Train AI with ATS data
1. User authorizes ATS access
Your users authorize your application to access their ATS platform by going through an authorization flow using Merge Link.
2. Retrieve comprehensive ATS data
Utilize Merge’s API endpoints, such as GET /candidates, GET /interviews, GET /applications, and GET /offers to retrieve comprehensive ATS data.
3. Clean and transform data
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. Validate model performance
Validate the model’s performance using the testing set. Compute relevant metrics to gauge the model’s effectiveness.
5. Monitor and retrain
Continuously monitor ATS data for updates, changes, and new information and implement a feedback loop for model retraining and improvement to adapt.
6. Surface insights to customers
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.
