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The aim of the paper is to analyze the impact of AI implementation on logistics performance and to develop an action framework that can be used to measure the improved efficiency achieved with AI in an environment of scarce available data. This paper examines the use of AI in the logistics sector in Bulgaria. The study assesses revenue distribution and market concentration to determine when the introduction of AI can be expected to have significant positive effects. A methodological approach is also proposed for the analysis of AI and operational efficiency, and a basis for future research is provided when better information becomes available. Furthermore, the present study focuses on large logistics companies that have the technological and economic means to build AI-based solutions at different levels in their operations. Performance measures, including delivery time, fuel consumption and forecast reliability, are used to highlight the efficiency improvements that are available through the adoption of AI. This article offers an assessment of the efficiency gains from artificial intelligence in logistics operations and proposes that from a scientific perspective, artificial intelligence should be used to consider efficiency gains in order to analyze the limited empirical data.