Define model scope with key stakeholders
Identify, acquire and connect data sources
Perform feature engineering
Evaluate algorithms and tune hyperparameters
Train, test and select the best models
Validate models and simulate business results
Deliver model outputs usually with 3-4 weeks
Demonstrate model performance
Present model insights
Set up data preparation and monitor trends
Set up and execute on-going production processes
Monitor models with seamless refresh
* included with monthly service
Review value delivery metrics and KPI impacts
Deep-dive model insights session
Business process integration
* included with monthly service
Fully personalized interactions with customers
Improved customer satisfaction and conversion rate
* optional add-on
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
Forecast the net profit revenue for each customer by predicting their lifetime value.
CLV/LTV predictions and ordered customer groupings based on forecasted value
Ordered customer groupings based on predicted churn
Understand key predictors for CLV/LTV value
Overview of proportional hazards modeling and discrete-time logistic hazard models
Telecom-industry proven for over 250 million service lines.
