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This paper proposes TaDaa: Ticket Assignment Deep learning Auto Advisor,which leverages the latest Transformers models and machine learning techniquesquickly assign issues within an organization, like customer support, help deskand alike issue ticketing systems. The project provides functionality to 1)assign an issue to the correct group, 2) assign an issue to the best resolver,and 3) provide the most relevant previously solved tickets to resolvers. Weleverage one ticketing system sample dataset, with over 3k+ groups and over10k+ resolvers to obtain a 95.2% top 3 accuracy on group suggestions and a79.0% top 5 accuracy on resolver suggestions. We hope this research willgreatly improve average issue resolution time on customer support, help desk,and issue ticketing systems.

TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems