AI for Predictive Analytics in Retail: Enhancing Inventory Management and Customer Engagement
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 customerengagement. By leveraging machine learning algorithms and big data, retailers can predict customer demand, optimize stocklevels, reduce waste, and improve overall operational efficiency. This paper explores the role of AI-driven predictive analytics inretail, focusing on its impact on inventory management and customer engagement. It discusses the underlying technologies, suchas machine learning and natural language processing, and highlights real-world applications where AI is revolutionizing retailoperations. Additionally, the paper examines the challenges retailers face in implementing AI technologies and provides insightsinto the future potential of AI in shaping the retail landscape.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-03
- DOI
- https://doi.org/10.5281/zenodo.15334039
- Primary Topic
- Forecasting Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00