Impact of Artificial Intelligence's Part in Supply Chain Planning and Decision Making Optimization

Abstract

Artificial intelligence (AI) is transforming supply chain planning and decision making, enabling organizations to tackle the complexities of modern supply chains. This article explores the various applications of AI in supply chain management, including demand forecasting, inventory optimization, transportation and logistics optimization, supplier selection and risk management, and predictive maintenance and asset management. AI-powered demand forecasting models analyze historical data and market trends to predict future demand accurately, while AI-driven inventory optimization considers factors such as lead times and demand variability to determine optimal inventory levels. AI can also optimize transportation routes, modes, and schedules, and assist in supplier selection and risk assessment. Predictive maintenance using AI helps reduce equipment downtime and maintenance costs. However, organizations must consider challenges such as data quality, algorithmic bias, interpretability of AI models, and ethical considerations when adopting AI in supply chain management. As AI technologies advance and integrate with other emerging technologies, the future of AI in supply chain management looks promising, offering organizations the potential to achieve greater efficiency, agility, and competitiveness. This study provided a content analysis of studies aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends…