How Code AI  can help Indian telecom companies to control churn for postpaid subscribers

1. Predictive Churn Modeling

AI can flag customers at high risk of leaving before they churn.

How we work:

• Train ML models on historical data (usage drop, complaints, late payments, location change, etc.).
• Score every user daily/weekly with a “Churn Risk” score.

📊 Example: A user’s data usage dropped 40%, payment was 10 days late, and they contacted support twice = high churn risk.

🎯 2. Hyper-Personalized Retention Offers

Once you know who is at risk, AI decides what to offer and how to deliver it.

AI decides:

• What plan fits the user’s recent behavior?
• Do they need a billing waiver, data top-up, or Netflix freebie?
• Should it be sent via SMS, WhatsApp, or agent call?

🎁 Example: “Hey Raj, we noticed you’ve been using less data. Try our ₹399 plan with 30GB + Amazon Prime free!”

🗣️ 3. Sentiment Analysis on CRM & Social

AI can analyze:

• Call center transcripts
• Chatbot conversations
• Social media (Twitter, forums)

To detect negative sentiment early and escalate to retention teams.

🔍 Example: A tweet like “I’ve had it with this network!” can trigger a personalized retention callback.

📱 4. Proactive Plan Optimization

AI can detect when a user is overpaying or underutilizing their plan.

• If someone on a ₹999 plan uses only 10GB/month, AI can suggest ₹499 or ₹699 plans.
• Builds trust by showing the brand is looking out for them.

⚖️ It’s better to downgrade a user than lose them completely.

🧠 5. AI-Driven Loyalty and Upsell Programs

Reward loyal postpaid users based on their behavior:

• Monthly usage streaks
• Low complaint ratio
• Tenure on the network

AI can personalize:

• Points-based rewards
• Early access to 5G
• Priority support tiers

Builds emotional stickiness — harder to leave a brand that feels personal.

📶 6. Network Experience Prediction

Use AI to map where users experience network issues — especially roaming or travel-based churn.

• Monitor device-level data (with consent)
• Predict areas of poor experience
• Trigger proactive service messages or roam-like-home offers

📞 7. Smart Call Center Routing

Route high-risk postpaid users to senior agents, not basic IVRs.

• AI scans the CRM data and urgency level
• Ensures fast, human, empathetic support

Quick, quality customer support = churn control weapon.

📊 8. Real-Time Dashboards for Retention Teams

Give zonal teams a live view of:

• Which clusters have rising churn
• What plans are leaking most
• Which agents are best at saving customers

Helps in rapid decision-making and campaign targeting.

🔄 9. Post-Churn Win-Back Campaigns

Use AI to:

• Analyze why a customer left
• Predict the chance of winning them back
• Send timed, personalized win-back offers (e.g., “come back in 30 days and get 50% off for 3 months!”)