Telecommunication
AI That Keeps Customers Loyal
goal
Challenge Faced
Telecom operators lose millions annually due to churn, especially from high-value subscribers. Traditional retention programs are reactive and generic, failing to engage atrisk customers.
solution
Our Solution
We developed AI churn prediction models that identify at-risk subscribers early and trigger personalized retention offers.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect customer usage, billing, complaint, and service data.
Step 2
AI models predict churn likelihood by user segment.
Step 3
Deploy personalized offers (discounts, upgrades, loyalty perks).
Step 4
Continuously monitor churn patterns with dashboards.
Quantifiable Benefits
Reduction in churn
%
incRease in retention for high-value users
0
%
Higher ARPU from targeted offers
%
Who’s Using This
T-Mobile AI-driven churn prevention
Reliance Jio predictive retention campaigns
Orange Telecom customer insights AI
Why It Matters
Predictive churn management saves millions and keeps customer lifetime value intact.