Leveraging Artificial Intelligence for predictive supply chain management, focus on how AI- driven tools are revolutionizing demand forecasting and inventory optimization

Nweje, Uche and Taiwo, Moyosore (2025) Leveraging Artificial Intelligence for predictive supply chain management, focus on how AI- driven tools are revolutionizing demand forecasting and inventory optimization. International Journal of Science and Research Archive, 14 (1). pp. 230-250. ISSN 25828185

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Abstract

The dynamic landscape of global supply chains necessitates innovative solutions to tackle challenges in demand forecasting and inventory optimization. Traditional methods, often constrained by limited adaptability and scalability, struggle to manage the complexities of modern supply chains. Artificial Intelligence (AI) has emerged as a transformative force, enabling predictive supply chain management through advanced data analytics, machine learning algorithms, and real-time decision-making capabilities. By harnessing AI-driven tools, businesses can accurately forecast demand patterns, reduce stockouts, and minimize excess inventory, thereby improving operational efficiency and customer satisfaction. AI-powered systems leverage historical data, market trends, and external factors such as economic shifts and weather conditions to provide precise predictions. These tools enhance responsiveness by identifying potential disruptions and enabling proactive measures, ensuring supply chain resilience. Furthermore, AI facilitates seamless integration across supply chain nodes, fostering collaboration and enabling data-driven insights that were previously unattainable. From predictive analytics for demand forecasting to intelligent automation in inventory management, AI-driven tools are revolutionizing the traditional supply chain model. Case studies reveal substantial reductions in holding costs, improved lead times, and enhanced supply chain visibility. However, challenges such as data quality, system integration, and ethical considerations in AI deployment remain critical areas for exploration. This paper looks into the transformative impact of AI on predictive supply chain management, highlighting key advancements, practical applications, and challenges. The insights presented underscore the pivotal role of AI in driving efficiency and innovation in an increasingly complex and competitive global economy.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence; Predictive Supply Chain Management; Demand Forecasting; Inventory Optimization; Machine Learning; Supply Chain Resilience
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Depositing User: Editor IJSRA
Date Deposited: 05 Jul 2025 15:55
Last Modified: 05 Jul 2025 15:55
URI: https://eprint.scholarsrepository.com/id/eprint/58

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