Development of advanced customer segmentation models for targeted banking product development
Posted: Oct 28, 2025
Abstract
The banking industry stands at a critical juncture where traditional customer segmentation approaches are proving increasingly inadequate for product development in the digital age. Conventional segmentation models, predominantly based on demographic variables and basic transactional history, fail to capture the complex, dynamic nature of contemporary banking relationships. This limitation has resulted in product development strategies that often miss emerging customer needs and behavioral patterns, leading to suboptimal resource allocation and missed market opportunities. This research addresses these challenges by developing a novel neuro-evolutionary segmentation framework that integrates principles from computational neuroscience with evolutionary computation. Our approach represents a paradigm shift from static customer categorization to dynamic, multi-dimensional profiling that evolves with customer behaviors and life circumstances.
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