Abstract This report provides a comprehensive analysis of the role of artificial intelligence (AI) in reshaping the modern retail and commerce landscape in 2025. It synthesizes findings from a wide range of academic and industry sources to detail the practical applications, quantifiable benefits, and significant challenges of AI adoption. The research employs a qualitative methodology based on an extensive literature review and case study analysis to examine how AI is enhancing customer experience and driving operational efficiency. Key findings indicate that AI adoption consistently leads to increased sales, improved customer satisfaction, and measurable cost reductions. However, the study identifies a significant gap between the acknowledged benefits of AI and its deep integration, particularly among small and medium-sized enterprises (SMEs), due to high implementation costs, a lack of technical expertise, and critical concerns over data privacy and algorithmic bias. The report concludes with a strategic roadmap for successful AI integration, advocating for a phased, data-centric, and ethically-governed approach to help businesses of all sizes navigate this transformative era. Keywords: Artificial Intelligence, Retail, Commerce, Personalization, Customer Experience, Demand Forecasting, Supply Chain, Dynamic Pricing, Algorithmic Bias, Data Privacy, E-commerce
Boregowda et al. (Mon,) studied this question.