Customer Support Management
Business Challenge: A management services providing company was battling to manage delays in client reported issues, human mistake in effectively grouping occurrences and coming about wastage of time by irrelevant people in support.
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Language
Python -
Components
NLP, Clustering, Supervised Learning -
Cloud
AWS (Sage-maker) -
Address
United States
Solution:
Artificial Intelligence empowered based engine using NLP and machine learning for categorizing each ticket into pre-identified categories. A large data of existing support tickets with their relevant category was the key to effective categorization.
AI Engine Results:
Tickets getting categorized to relevant personals, with speed and accuracy.
Result:
Increment in net score for clients customer issues resolution time, decrease in misallocation of emails, and decrease in episode of the executive's staffing costs.
Client Success:
Client issues reporting support tickets was categorized with accuracy and speed. Optimized productivity of the support team by handling relative queries.
