Harnessing AI and Big Data to Build a Resilient Supply Chain: An Overview

Azadeh Dindarian ()
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Azadeh Dindarian: SRH Berlin University of Applied Sciences

Chapter Chapter 9 in Emerging Technologies in Supply Chains, 2026, pp 233-251 from Springer

Abstract: Abstract This chapter explores the transformative role of digital technologies, including Artificial Intelligence (AI), Big Data and Internet of Things (IoT) in shaping supply chain management. As global supply chains grow more complex and vulnerable to disruptions such as geopolitical tensions and global crises, the demand for resilient, adaptive, and efficient systems continues to rise. AI-powered tools, predictive analytics, and real-time data insights enable organizations to shift from reactive problem-solving to proactive risk management, enhancing visibility, agility, and decision-making across the supply chain. Drawing from both academic literature and industry case studies, the chapter offers a well-rounded view of current AI applications in building supply chain resilience. It examines real-world examples from companies like Amazon and Tesco, showcasing how technologies such as demand forecasting, inventory optimization, route planning, and predictive maintenance are being used for competitive advantage. While the benefits are clear, digital transformation also brings challenges. Legacy systems, data quality issues, workforce upskilling, and ethical concerns must be addressed with thoughtful strategies, investment, and robust data governance to ensure sustainable, responsible adoption of these technologies.

Keywords: Artificial intelligence; Data analytics; Big data; Digital transformation; Supply chain resilience (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-032-01218-0_9

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DOI: 10.1007/978-3-032-01218-0_9

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