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p-Index From 2021 - 2026
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All Journal The Eastasouth Journal of Information System and Computer Science
Mallikarjun Bellundagi
Solution Architect, Information Technology, Chags Health Information Technology LLC (C-HIT), USA
Computer Science & IT

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Cloud-Based Smart Retail System Using AI-Driven Recommendations Mallikarjun Bellundagi
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 01 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i01.1298

Abstract

The rapid advancement of cloud computing and artificial intelligence (AI) has significantly transformed the retail industry. This paper presents a cloud-based smart retail system that leverages AI-driven recommendation techniques to enhance customer experience, optimize inventory management, and improve sales performance. The proposed system integrates machine learning algorithms, real-time analytics, and scalable cloud infrastructure to deliver personalized product recommendations. The study adopts a conceptual-analytical methodology supported by literature synthesis and system design modeling. Results indicate that AI-powered retail systems improve customer engagement, increase conversion rates, and enable data-driven decision-making. The proposed framework contributes to the development of intelligent, scalable, and adaptive retail ecosystems.
Digital Transformation Framework for Smart Enterprises Using AI and Cloud Computing Mallikarjun Bellundagi
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 02 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i02.1299

Abstract

Digital transformation has become essential for modern enterprises aiming to improve efficiency, scalability, and competitiveness. The integration of Artificial Intelligence (AI) and Cloud Computing provides a powerful foundation for building smart enterprises capable of data-driven decision-making and automation. However, many organizations lack a structured framework to guide this transformation. This paper proposes a comprehensive Digital Transformation Framework (DTF) that integrates AI capabilities with cloud-based infrastructure. The framework emphasizes scalability, security, data analytics, and intelligent automation. The study also discusses applications, challenges, and implementation strategies. The proposed model supports organizations in achieving sustainable digital growth and improved operational performance.
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