A Review of Digital Tools and Technologies for Enhancing Customer Engagement in Financial Services

Abstract

The customer interaction is currently a primary success driver in the contemporary financial service environment, where the increased use of digitalism and changing customer demands are continued to transform how the industry functions. With the shift of financial institutions towards data-driven digital, ecosystems based on the traditional, branch-oriented model, artificial intelligence (AI), machine learning (ML), mobile banking, blockchain, and IoT are having transformational impacts on increasing customer satisfaction, loyalty, and operational efficiency. Digital transformation makes it possible to have seamless, personalized, and omnichannel customer experiences and predictive models and AI tools like chatbots, robo-advisors, and predictive models can assist institutions in providing real-time, custom-designed financial solutions. In spite of these developments, the obstacles to complete full-scale engagement remain in the form of issues related to data privacy, limitations of the legacy system, regulatory barriers and customer trust. New technologies, such as AR/VR, systems of digital identity, and platforms enabled by IoT, also increase the range of engagement opportunities, as these technologies are immersive, provide secure verification, and are intelligent enough to be automated. The paper discusses the development of customer engagement in the financial services, compares the conventional and digital models, evaluates the influence of digital tools, and discusses the emergent technology that would lead the next generation of engagement. In order to create safe, inclusive, and customer-focused financial ecosystems, it concludes by highlighting the primary obstacles and suggesting future study avenues.