International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Channel Intelligence and Customer Interaction: Leveraging Data Analytics and AI in Modern Banking

Author(s) Praneeth Reddy Amudala Puchaka
Country USA
Abstract The banking sector significantly underscores the relevance of channel intelligence in the U.S., addressing multi-channel techniques such as internet banking, abms, branch banking, and mobile applications to maximize consumer interactions across multiple platforms. To facilitate AI integration for automation, U.S. banks assess client preferences and enhance channel utilization trends. The function of AI in identifying client channel preferences and facilitating banks in customizing services and goods. Examine the influence of U.S. customer contacts across various channels on loyalty, cross-selling prospects, and customer lifetime value (CLV). Subsequently Multiple Real-Time Data Analytics for U.S. Banks are examined to oversee consumer encounters, enhance channel utilization, and swiftly modify strategies. Numerous obstacles in Channel Intelligence for American Banks Executed channel intelligence initiatives, including data privacy rules and the integration of legacy systems. and highlight the significance of Key Performance Indicators (KPIs) in assessing the effectiveness of channel intelligence initiatives. Concentrate on how U.S. banks may utilize real-time data analytics and AI models to more effectively segment customers by identifying trends in customer interactions across many channels and elucidate on real-time actionable insights. Enhance the methodology section to illustrate how U.S. banks gather, consolidate, and evaluate data from diverse channels (e.g., mobile applications, ABMS, branches) to provide customized banking services. Ultimately, underscore the strategic significance of channel intelligence for U.S. banks in fostering customer engagement, augmenting customer experiences, and optimizing multi-channel operational efficiency.
Keywords Banking, Multi-channel, Artificial Intelligence, Automation, Data Analytics
Published In Volume 4, Issue 5, September-October 2022
Published On 2022-09-25
DOI https://doi.org/10.36948/ijfmr.2022.v04i05.20018
Short DOI https://doi.org/g8r8dn
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