Train AI with ticketing data
Efficiently train data models using ticketing data
Your users authorize your application to access their Ticketing platform by going through an authorization flow using Merge Link.
Utilize Merge’s API endpoints, such as GET /tickets, GET /teams and GET /collections to retrieve comprehensive ticketing 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.
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 the model’s performance using the testing set. Compute relevant metrics to gauge the model’s effectiveness.
Continuously monitor ticketing data for updates, changes, and new information and implement a feedback loop for model retraining and improvement to adapt.
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.
