AI for Predictive Analytics in Retail: Enhancing Inventory Management and Customer Engagement
Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is rapidly transforming various industries, and retail is no exception. Predictive analyticspowered by AI is becoming a game-changer in the retail sector, especially when it comes to inventory management and customer engagement. By leveraging machine learning algorithms and big data, retailers can predict customer demand, optimize stock levels, reduce waste, and improve overall operational efficiency. This paper explores the role of AI-driven predictive analytics in retail, focusing on its impact on inventory management and customer engagement. It discusses the underlying technologies, such as machine learning and natural language processing, and highlights real-world applications where AI is revolutionizing retail operations. Additionally, the paper examines the challenges retailers face in implementing AI technologies and provides insights into the future potential of AI in shaping the retail landscape.
Author: Researchscholar
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930497139
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