Real-Time Analytics in Supply Chain Management: AI’s Role in Enhancing Visibility

Authors

  • Olivia Carter, Massachusetts Institute of Technology Author

Keywords:

Real-Time Analytics, Supply Chain Management, Artificial Intelligence, Supply Chain Visibility, Machine Learning, IoT, Predictive Analytics, Logistics Optimization, Data-Driven Decision Making, Digital Supply Chain

Abstract

In the dynamic landscape of global commerce, supply chain visibility has emerged as a critical determinant of operational efficiency and resilience. This paper explores the transformative role of Artificial Intelligence (AI) in enabling real-time analytics within supply chain management (SCM), with a particular emphasis on enhancing end-to-end visibility. Traditional supply chains often suffer from fragmented data, delayed insights, and reactive decision-making. However, the integration of AI technologies such as machine learning, computer vision, natural language processing, and IoT devices has empowered organizations to process large volumes of data in real-time, detect anomalies, forecast disruptions, and optimize logistics workflows proactively.

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Published

2024-01-10