AI-DRIVEN AUTOMATION IN MILITARY WAREHOUSES – ECONOMIC IMPACT AND STRATEGIC CHALLENGES

Iancu Corina, Jianu Elena, Antoniu Eliza Maria and Hategan Razvan Alexandru
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Iancu Corina: UNIVRSITY OF CRAIOVA, 13 ALEXANDRU IOAN CUZA, CRAIOVA, DOLJ, ROMANIA
Jianu Elena: NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY POLITEHNICA BUCHAREST, 313, SPLAIUL INDEPENDENTEI, BUCHAREST, ROMANIA
Antoniu Eliza Maria: NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY POLITEHNICA BUCHAREST, 313, SPLAIUL INDEPENDENTEI, BUCHAREST, ROMANIA
Hategan Razvan Alexandru: ÉCOLE DE GUERRE, 1, PL. DE L`ÉCOLE MILITAIRE, 75007, PARIS, FRANCE

Annals - Economy Series, 2025, vol. 4, 139-143

Abstract: This article analyzes the economic impact and strategic challenges of introducing artificial intelligence in military warehouse management. While automation is already widespread in civilian logistics, in the military sector - especially in Eastern Europe - the transition to digitized systems is still in its infancy. The study shows that AI-based technologies can significantly reduce operational costs, improve inventory accuracy and increase responsiveness through predictive analytics and real-time data. The analysis is based on NATO standards (such as STANAG 2454 and AJP-4), theoretical models from economic literature and concrete examples from France, Germany and the United States. The results show that warehouse automation brings clear benefits: less staff required, faster stock turnover and lower logistics losses. However, achieving these benefits requires large initial investments, cyber security measures and staff training programs. Comparing the current state of military logistics in Romania with models implemented in NATO member countries, the article argues the urgent need for modernization through digitalization. The conclusion is clear: the adoption of artificial intelligence in military warehouses not only optimizes logistics, but also strengthens interoperability and responsiveness within allied structures.

Keywords: Artificial Intelligence; Military Logistics; Warehouse Automation; Economic impact; Strategic Resilience (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2025:v:4:p:139-143

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