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Ticket Classification
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