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# Service Desk Ticket Classification Reviews & Product Details

A high frequency of issues can generate an overwhelming number of service desk tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data to select the most generalizable model for the ticket classification task.

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Seller
[Mphasis](https://www.g2.com/sellers/mphasis-5a2b4772-cd1c-4cbd-bf88-54fc79a85d25)
Discussions
[Service Desk Ticket Classification Community](https://www.g2.com/products/service-desk-ticket-classification/discuss)

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##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

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