Customer churn Reduction (Voice & Data)

Challenge

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

Solution

• 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

Benefits

• 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