The retail industry is experiencing unprecedented transformation driven by artificial intelligence (AI) and advanced analytics platforms. This paper presents a comprehensive analysis of implementing AI-driven customer experience enhancement and inventory optimization using SAP HANA retail solutions. Through empirical analysis of retail data and implementation case studies, we demonstrate how integrated AI systems can achieve up to 23% improvement in customer satisfaction scores and 18% reduction in inventory holding costs. The study examines the technical architecture, implementation challenges, and performance metrics of SAP HANA-based retail solutions across multiple retail segments. Our findings indicate that retailers adopting AI-driven approaches with SAP HANA achieve superior operational efficiency, enhanced customer engagement, and improved profitability compared to traditional retail management systems.
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Surya Narayana Chakka. Smart retail revolution: Implementing AI-driven customer experience and inventory optimization using SAP HANA retail solutions. Global Journal of Engineering and Technology Advances, 2021, 6(1), 136-144. Article DOI: https://doi.org/10.30574/gjeta.2021.6.1.0007





