  Automation of support ticket classification is crucial to improve customer
support performance and shortening resolution time for customer inquiries. This
research aims to test the applicability of automated machine learning (AutoML)
as a technology to train a machine learning model (ML model) that can classify
support tickets. The model evaluation conducted in this research shows that
AutoML can be used to train ML models with good classification performance.
Moreover, this paper fills a research gap by providing new insights into
developing AI solutions without a dedicated professional by utilizing AutoML,
which makes this technology more accessible for companies without specialized
AI departments and staff.
