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# Train AI with ticketing data

> How to ingest ticketing data for AI model training on issue resolution and support analytics using the Merge Ticketing API.

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#### User authorizes ticketing access

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

#### Retrieve comprehensive ticketing data

Utilize Merge's API endpoints, such as [**GET** /tickets](https://docs.merge.dev/ticketing/tickets/#tickets_list), [**GET** /teams](https://docs.merge.dev/ticketing/teams/) and [**GET** /collections](https://docs.merge.dev/ticketing/collections/) to retrieve comprehensive ticketing data.

#### 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.

#### Model training

Split the preprocessed ticketing data into training and testing sets. Use the training set to train an AI model tailored for issue resolution and support analytics.

#### Validate model performance

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

#### Monitor and retrain

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

#### Surface insights to customers

Build a UI to provide your customers with valuable insights generated by the AI models, such as predictive trends based on historical ticketing data and personalized recommendations for issue resolution.

#### Get started in automatically pulling ticketing 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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