New AI Frontiers for Supply Chain Management

This presentation explores the transition of supply chain management from traditional information systems to advanced AI-driven solutions. It highlights how effective management of information flows is essential for controlling material flows and improving logistics performance. The focus is on the emerging role of AI agents—systems that move beyond simple analysis to autonomous, real-time decision-making in areas such as inventory, transportation, and warehouse operations. The presentation explains the difference between AI as a tool and AI as an independent decision-maker, emphasizing multi-agent systems and their ability to optimize complex logistics processes. At the same time, it addresses key challenges, including data quality, trust, integration, and the evolving role of human expertise. The conclusion stresses that while AI will transform supply chains, human skills, critical thinking, and adaptability remain essential for successful implementation and competitive advantage.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20326012
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

New AI Frontiers for Supply Chain Management

Nikolay Dragomirov
Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

New AI Frontiers for Supply Chain Management

Nikolay Dragomirov
article en

Abstract

This presentation explores the transition of supply chain management from traditional information systems to advanced AI-driven solutions. It highlights how effective management of information flows is essential for controlling material flows and improving logistics performance. The focus is on the emerging role of AI agents—systems that move beyond simple analysis to autonomous, real-time decision-making in areas such as inventory, transportation, and warehouse operations. The presentation explains the difference between AI as a tool and AI as an independent decision-maker, emphasizing multi-agent systems and their ability to optimize complex logistics processes. At the same time, it addresses key challenges, including data quality, trust, integration, and the evolving role of human expertise. The conclusion stresses that while AI will transform supply chains, human skills, critical thinking, and adaptability remain essential for successful implementation and competitive advantage.

Zenodo (CERN European Organization for Nuclear Research)
University of National and World Economy (BG)
Openalex Percentile: Top 5%
Supply Chain Resilience and Risk Management
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