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All Journal Procuratio : Jurnal Ilmiah Manajemen Bilancia : Jurnal Ilmiah Akuntansi Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Nexus Synergy: A Business Perspective JUDIKAT: Jurnal Pengabdian Kepada Masyarakat
Putri, Novita Yulia
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Luxury: Landscape of Business Administration

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Use of AI-based Banking Applications for Customer Service Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Andi, Andi; Putri, Novita Yulia; Hutahuruk, Marice Br; Renaldo, Nicholas; Musa, Sulaiman; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 2 No. 2 (2024): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v2i2.100

Abstract

This paper explores the state-of-the-art advancements in AI-based banking applications and their impact on customer service, focusing on their capabilities, benefits, and potential challenges. The descriptive qualitative method is used to examine real-world applications of AI in banking, focusing on their operational mechanisms and influence on customer experiences. The data analysis process involves the following steps: Thematic Analysis, Comparative Analysis, and Content Analysis. AI technologies such as chatbots, virtual assistants, and fraud detection systems enhance operational efficiency, provide personalized experiences, and improve security in banking. AI-based banking applications have significantly enhanced customer service by improving operational efficiency, personalization, and security, leading to higher customer satisfaction. Future research can investigate frameworks for ensuring fairness, transparency, and accountability in AI-driven customer service systems.
Co-Authors Achmad Tavip Junaedi Aminuyati Amries Rusli Tanjung Andi Andi Andi Augustine, Yvonne Cecilia Cecilia, Cecilia Chandra, Stefani Darmasari, Ria David David Ediana, Cindy Fitri Yani Fransisca, Luciana Gusrio Tendra Hadi, Syukri Harry Patuan Panjaitan Hutahuruk, Marice Br Ilynn, Ilynn Indri Yovita Jahrizal Koto, Jaswar Layla Hafni Muhrodin, Muhrodin Mukhsin Mukhsin Musa, Sulaiman Ng, Martha Nicholas Renaldo Nyoto Nyoto, Nyoto Okalesa, Okalesa Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyono Priyono Purba, Jansaris Othniel Purnama, Intan Rizaldi Putra Santoso, Pamuji Hari Saragih, Agnes Debora Sudarno Sudarno Suhardjo Suharti Surya Safari SD Suryani, Febdwi SUYONO Suyono Suyono Swanto, Dominicus Josephus Umar Faruq Veronica, Kristy Yulia Efni Yusrizal Yusrizal