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.
Authors
- Nikolay Dragomirov (ORCID: https://orcid.org/0000-0002-0923-962X)
Institutions
- University of National and World Economy (BG)
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
- 0.00