Understand why some calls are resolved quickly, while others lead to callbacks.
Likelihood of first-call resolution for the caller
Understand factors that impact resolution efficiency
Performance assessment and ROI simulation
Discover actionable opportunities improve efficiency and increase FCR rates
This describes how far ahead in the future this model can be trained to predict. Ideally, the historical data available for training would be 2-3 times longer than the prediction window.
Resolve customer issues right the first time, every time.
Continuously improve FCR rates with ongoing model optimization.
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
