Reinventing Retail Through AI-Driven Personalization, Demand Forecasting, And Inventory Optimization

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Authors: Priya Gopalakrishnan

Abstract: This article explores how artificial intelligence (AI) is revolutionizing the retail industry by enhancing personalization, demand forecasting, and inventory optimization. It discusses the limitations of traditional retail approaches and illustrates how AI enables data-driven strategies that improve customer engagement, operational efficiency, and profitability. By leveraging technologies such as machine learning, natural language processing, and predictive analytics, retailers can deliver customized experiences, anticipate market demand with greater accuracy, and optimize stock levels across supply chains. The article also outlines practical implementation strategies, highlights measurable business impacts, and offers a forward-looking perspective on the future of AI in retail.

DOI: http://doi.org/10.5281/zenodo.16742080

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