Train AI with ticketing data

TCKT
Efficiently train data models using ticketing data

1. Authentication and connection

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

2. Data retrieval from ticketing platform

Utilize Merge's API endpoints, such as GET /tickets, GET /teams and GET /collections to retrieve comprehensive ticketing 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. Model evaluation

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

6. Feedback loop

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

7. Surface ticketing insights

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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Key models & fields
name
creator
status
completed_at
remote_created_at
priority
collections
collection_type
name
description
name
description
Typical sync frequency
Highest
Industries
Artificial Intelligence (AI) Software
Product Analytics and Insights
Employee Engagement Software