Industries · Telecom

AI Decision Intelligence
for telecom operators

Reduce churn, grow ARPU, and serve customers smarter, turning network, usage, and billing data into the next best offer and action.

−18%
Churn on treated segments vs. holdout
+9%
ARPU uplift from next-best-offer targeting
8h → 2h
Billing & payroll QA cut at a home-health agency (Vitallogix)
73%
Recommended actions accepted by retention teams

Illustrative figures, except the Vitallogix result, which is from a live deployment.

The challenges

The decisions that quietly erode ARPU

Operators have rich usage, recharge, and network data, yet churn saves, offers, and service priorities are still reactive and generic.

!High churn in prepaid and postpaid bases
!Generic offers that erode margin
!Recharge and top-up drop-off
!Reactive customer service
!Flat ARPU and weak upsell
!Network issues surfacing as churn
!Marketing spend with unclear return
AI use cases for telecom operators

Where the decision engine pays off in telecom

Churn Prediction

Flag at-risk subscribers before they leave.

Next Best Offer

Personalized offers ranked by uplift.

ARPU Optimization

Grow revenue per user with the right plan.

Recharge Prediction

Anticipate top-ups and nudge in time.

Network Experience Analytics

Link network quality to churn risk.

Service Prioritization

Route care effort to high-value, high-risk users.

Marketing Optimization

Allocate budget where it converts.

Customer Lifetime Value

Prioritize the relationships worth keeping.

Recommended first project

Start where the ROI is clearest

Let's discuss AI for your network

Bring your biggest churn, ARPU, or next-best-offer challenge. We'll map the highest-value place to start.

Book an AI Opportunity Call →