Customer churn Reduction (Voice & Data)

Customer churn Reduction (Voice & Data)


  • The operator wanted a solution to retain the customers and understand the reasons for customer attrition.


  • Brought together data for around 40k customers from different sources including their personal info, usage data, billing data, and CRM data
  • Built an AI model using 1200 parameters, which could predict the customers who were going to churn
  • Identified possible reasons for the churn and methods to prevent them


  • Identified potential reasons for customer attrition
  • Achieved 60% accuracy in predicting attrition
  • Enabled the operator to provide targeted services for the identified customers
  • Savings of upto 100+ million USD in revenue