{ "error_code": "500", "data": { "zhuang_tai": "token_no", "times": "1759269678" } } AI Customer Churn Prediction | VINSINFO
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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

Unreal Engine

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

Innovation 1

Reliance Jio predictive retention campaigns

Innovation-2

Orange Telecom customer insights AI

Private Surgical Training Institutes

Why It Matters

Predictive churn management saves millions and keeps customer lifetime value intact.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

Learn More
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