Year: 2025
Type: article
Abstract: In an increasingly volatile and globalized marketplace, traditional supply chains are under immense pressure to deliver higher efficiency, agility, and resilience. The concept of the intelligent supply chain has emerged as a strategic imperative, driven by the need for real-time insights, adaptive decision-making, and predictive capabilities. Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of this transformation, enabling end-to-end automation, enhanced forecasting accuracy, and intelligent optimization across procurement, logistics, inventory, and production planning. This study explores the multifaceted role of AI and ML in modernizing supply chain operations, identifying the technological enablers, use cases, and organizational benefits associated with their adoption. Through an in-depth review of current literature, market implementations, and case studies from industry leaders such as Amazon, Maersk, and Unilever, the paper demonstrates how AI-driven systems improve demand forecasting, reduce operational costs, and increase supply chain responsiveness. The findings suggest that the integration of intelligent technologies not only supports operational excellence but also equips enterprises to navigate disruptions with greater strategic foresight.
Author: Naga Bharadwaj Bhavikatta
Institution: Oracle (United States)
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411458986