Ticket Classification

about
Our client is a long-established and leading information technology company, presenting technology to the business world for over 70 years.
Problem
  • Manual assignment of tickets to appropriate person or unit is time consuming and requires human effort.
  • Misaddressing causes resource and time consumption.
  • Manual assignment increases the respond time resulting in deterioration of end user satisfaction.
Action
  • Designing a multi-class, multi-layer text classification model using text representation to determine the category of the ticket
  • Automating the assignment of tickets to related person or unit
  • Enabling data driven decisions for resource allocation
Tool Stack
  • Python

60

%

Reduced Assignment Time

50

%

Fewer Misclassified Tickets

70

%

Automation