Issue management for IT Operations

Service ticket volume prediction with 70-95% accuracy

Meet our client


CUSTOMERLeading IT Infrastructure
Monitoring Platform

How we did it

A large software provider for IT operations needed to expertly handle a huge volume of service tickets. We created a solution that expedites the ticket resolution process by forecasting request volume in advance and employing suitable resource allocation.

Our Solution
We created a solution to forecasts the volume of service tickets based on multiple ML techniques, including log structure discovery and parsing, periodicity detection, time-series analytics, frequent pattern mining, entropy-based encoding and temporal association detection.

Our solution forecasts service ticket volume with 70-95% accuracy, additionally generating actionable resource-allocation suggestions.

Contact us

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  •, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • Sp. z o.o.
  • al. Jerozolimskie 44
  • 00-024 Warsaw
  • Poland
  • ul. Łęczycka 59
  • 85-737 Bydgoszcz
  • Poland
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