Transform Your IT Support with CrushBank SmartClassifier


SmartClassifier leverages machine learning powered by your organization's historical ticket data to automatically categorize incoming tickets into the correct type, sub-type, or issue category. By learning from past patterns and outcomes, it ensures accurate and efficient classification tailored to your specific processes. This reduces manual effort, improves ticket routing, and accelerates resolution times, while continuously adapting to your evolving business needs.

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SmartClassifier Datasheet

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Bring Structure to the Chaos

70% of service requests are miscategorized
 
Turn all of your previously unsearchable content into valuable insight, intellectual property, and functioning advice. The SmartClassifier allows you to use CrushBank's powerful Al to automatically classify your ticket Types and Subtypes based on the content of the ticket, simplifying your team's workflow and delivering better access to historical ticketing details.

Optimize and Enrich Your Data

  • Automate and implement ticket and time budgeting
  • Make sure previous efforts are readily available
  • Identify missing data - turn it into a task
  • Don't start from scratch every single time
  • Enable self-service for ticket deflection

Standardize Across Instances

CrushBank ingests all of your data into a single, unified data lake, allowing you to easily resolve multiple instances while keeping historical data and maintaining the value of your acquisition client data, ticketing history, intellectual property, and more.

Create Your Own Custom Model with CrushBank SmartClassifier

Most MSPs will be able to use, and should use, the standard model for automated ticket classification. In the event that this doesn't work for your
business, CrushBank offers the flexibility to create your own custom model with dedicated models for Type, Sub Type, and Item, with Item data as
the primary driver, fed by training data from historical ticket information.

 

Start Your Smart Data Journey with CrushBank.