Solution Overview

Telecoms

300% increase in bundle uptake

Data bundle upsell

65% identification

Reducing Churn

21% improvement in market metrics

Alternative Data Credit Scoring

Customer churn is a major concern in telecoms, and COGITAIT's AI models predict churn risks and forecast customer spending with precision. Our solutions help telecom companies proactively retain customers and manage voluntary churn while enhancing their understanding of customer behaviour.

Smarter Networks, Stronger Margins

In an industry where churn is high and margins are tight, every customer interaction counts. At COGITAIT, we equip MNOs and MVNOs with AI-driven tools to predict behaviour, personalise engagement, and monetise data with ruthless efficiency. From reducing churn and credit risk to spotting fraud and unlocking dynamic pricing, our solutions drive loyalty, revenue, and competitive edge. This isn't just network optimisation - it's full-spectrum commercial intelligence built for the telco era.

Churn, Retention and Reactivation

Use machine learning algorithms to help to reduce customer churn while boosting reactivation and retention through AI-driven insights and personalised engagement strategies. Our predictive models identify at-risk customers before they leave, enabling proactive interventions that keep your subscriber base strong and growing.

Credit Risk Management

Implementing AI-driven credit scoring models to assess customer creditworthiness more accurately, reducing default rates and improving revenue assurance through better risk segmentation and personalised credit offers. Our solutions process millions of transactions monthly, delivering consistent results that protect your bottom line.

Customer Experience Personalisation

Improving customer satisfaction and loyalty by leveraging AI to deliver personalised service recommendations, targeted offers, and proactive customer support. We transform every touchpoint into an opportunity to strengthen customer relationships and drive incremental revenue.

Cross-Sell & Up-Sell Opportunities

Utilising our solutions not only drive repeat business but also identify cross-sell and upsell opportunities, enabling targeted recommendations that maximise customer lifetime value while reducing churn. Our AI models analyze usage patterns and customer behavior to identify the perfect moment for product upgrades and complementary service offerings.

Fraud Detection

Leveraging machine learning algorithms to detect anomalous activity in real time, reducing the financial impact of fraud on the business and customers. Our sophisticated models identify patterns invisible to traditional rule-based systems, stopping fraud before it impacts your revenue while minimizing false positives that frustrate legitimate customers.

Case Studies

Real-world results from our partnerships

Major European Telecom: Churn Reduction

We implemented a churn prediction and prevention system for a major European telecom provider that reduced customer churn by 42% in the first year. The system identified at-risk customers and triggered personalized retention offers, resulting in an estimated €24 million in saved annual revenue.

42%Churn Reduction

€24MRevenue Saved

Global Mobile Operator: Revenue Forecasting

For a global mobile operator, we developed a customer spend prediction model with 91% accuracy at the segment level. This enabled more precise revenue forecasting and helped the company identify high-value customers for targeted retention efforts, resulting in a 17% increase in average revenue per user (ARPU) among these segments.

91%Forecast Accuracy

17%Increased ARPU