A top-tier banking institution wanted to explore the potential of Generative Artificial Intelligence to improve its competitive positioning and optimize its day-to-day operations. The goal: anticipate customer churn and discover new relationship opportunities in the business ecosystem.
We designed and implemented three advanced AI models, focused on customer retention and intelligent relational analysis:
- Leakage Risk Model for Individuals: identifies users with low interaction and risk of abandonment.
- Leakage Risk Model for SMEs: detects companies with decreasing activity to activate loyalty measures.
- Business Relationship Model: uncovers transactional links between companies, whether or not they are clients of the bank, to detect new business opportunities.
Generative AI was applied to build dynamic behavioral patterns, hidden correlations and strategic recommendations aligned with business objectives.
We implement predictive and relational models with Generative AI in banking, anticipating customer leakage and discovering new business opportunities with direct impact on retention and growth.
- Proactive prevention of customer churn through predictive models trained on historical data.
- Explainable AI applied to loyalty: preventive rather than reactive approach.
- Complete relational vision of the business ecosystem, with the possibility of segmenting, linking and prioritizing contacts.
- Assured ROI: 9 months of development with measurable impact on customer retention and growth.
