Athanasios Kelemis

Dr. Athanasios Kelemis


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 March 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Adamos DaiosAdamos Daios
Adamos Daios
Nikolaos KladovasilakisNikolaos Kladovasilakis
Nikolaos Kladovasilakis
AKAthanasios Kelemis
Athanasios Kelemis
Ioannis KostavelisIoannis Kostavelis
Ioannis Kostavelis
The advent of Industry 4.0 and the integration of Artificial Intelligence (AI) is transforming supply chain management (SCM), improving efficiency, resilience and strategic decision-making capabilities. This research study provides a comprehensive overview of AI applications in key SCM processes, including customer relationship management, inventory management, transportation networks, procurement, demand forecasting and risk management. AI technologies such as Machine Learning, Natural Language Processing and Generative AI offer transformative solutions to streamline logistics, reduce operational risk and improve demand forecasting. In addition, this study identifies barriers to AI adoption, such as implementation challenges, organizational readiness and ethical concerns, and highlights the critical role of AI in promoting supply chain visibility and resilience in the midst of global crises. Future trends emphasize human-centric AI, increasing digital maturity, and addressing ethical and security concerns. This review concludes by confirming the critical role of AI in shaping sustainable, flexible and resilient supply chains while providing a roadmap for future research and application in SCM.

6 February 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
Adamos DaiosAdamos Daios
Adamos Daios
Nikolaos KladovasilakisNikolaos Kladovasilakis
Nikolaos Kladovasilakis
AKAthanasios Kelemis
Athanasios Kelemis
Ioannis KostavelisIoannis Kostavelis
Ioannis Kostavelis
The advent of Industry 4.0 and the integration of Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), improving efficiency, resilience, and strategic decision-making capabilities. This research provides a comprehensive overview of AI applications in key SCM processes, including customer relationship management, inventory management, transportation networks, procurement, demand forecasting and risk management. AI technologies such as Machine Learning, Natural Language Processing and Generative AI offer transformative solutions to streamline logistics, reduce operational risk and improve demand forecasting. In addition, the study identifies barriers to AI adoption, such as implementation challenges, organizational readiness and ethical concerns, and highlights the critical role of AI in promoting supply chain visibility and resilience in the midst of global crises. Future trends emphasize human-centric AI, increasing digital maturity, and addressing ethical and security concerns. This review concludes by confirming the critical role of AI in shaping sustainable, flexible and resilient supply chains, while providing a roadmap for future research and application in SCM.