In today’s fiercely competitive telco landscape, anticipating customer behaviour isn’t just an advantage, it’s a necessity. At Ikue, we’re reimagining what’s possible in predictive analytics with a powerful trifecta of innovation: AI Predict, Advanced Feature Engineering, and Mixed-Process Modelling. Here’s how we’re helping telcos unlock deeper insights and drive meaningful business outcomes through cutting-edge AI.
AI Predict: Prebuilt Intelligence, Tailored for Telcos
AI Predict is a suite of preconfigured machine learning models that tackle the most pressing challenges telcos face, such as churn prediction, customer segmentation, product affinity scoring, and even dynamic pricing. What makes AI Predict stand out is its frictionless activation: once your data is onboarded, our models are activated and trained specifically on your datasets, ensuring relevance from day one.
Our data scientists go beyond basic models. By tuning key parameters, such as decision thresholds, we optimize performance to suit your business needs. In one recent engagement, the base model initially produced an F1 score of 0.60. With expert calibration, that score rose to 0.70, highlighting the tangible benefits of fine-tuning..
While many use cases can be effectively handled using standard methods like XGBoost, some scenarios demand greater precision. For more complex use cases, such as fraud detection or achieving an F1 score closer to 0.90, we deploy more sophisticated techniques including deep learning, Bayesian inference, and ensemble modeling. These advanced methods dramatically improve accuracy, reduce business risk, and unlock new levels of commercial success.
By leveraging our expert calibration in addition to sophisticated modeling techniques we guarantee exceptionally high accuracy and performance on all AI/ML models.
Feature Engineering: The Power of 4,000+ Telco-Derived Features
AI is only as good as the data it’s trained on. That’s why we’ve developed an extensive Feature Store comprising over 4,000 analytical features, many of which are uniquely telco-specific.
Some of these features are extracted directly from raw telco data, while others are generated as outputs from our predictive models applied to customer datasets. We then reintegrate these predictions into the dataset, enriching future models and analytics with compounded intelligence. This recursive process not only enhances the predictive power of our models but also creates proprietary IP, a true competitive differentiator for our clients.
By feeding machine learning with a richer, more dynamic feature set, we enable smarter decisions, faster responses, and more personalized customer experiences.
Mixed-Process Modelling: Reducing Error, Enhancing Insight
Traditional AI systems often address one problem at a time. For instance, you might first predict churn, then use that output to inform a Next Best Offer (NBO) model. While this sequential approach is common, it has a major drawback: error propagation. The uncertainty from the first model gets baked into the second, compounding inaccuracy and reducing statistical confidence in your decisions.
At Ikue, we take a systems-level approach. By modeling multiple interconnected processes together, for example churn risk and offer affinity, we can capture the full complexity of customer behaviour in one cohesive system. This holistic view leads to more accurate, actionable insights and a more realistic representation of how your customers actually interact with your business in the real world.
Why It Matters
Every telco wants to better understand its customers, minimize churn, maximize lifetime value, and detect fraud before it happens. Ikue’s AI platform delivers on all fronts with high-performance models, enriched data intelligence, and smarter systems design.
Whether you’re optimizing customer engagement or streamlining operational efficiency, Ikue’s innovations in predictive modeling are built to scale with your ambitions.
Ready to unlock next-gen AI for your telco? Get in touch and let’s build the future together.
