Cloud-Based Smart Retail System Using AI-Driven Recommendations
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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.
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