Abstract
This article proposes a method for assessing the interrelationships between warehouse logistics processes based on covariance and correlation analysis. The objective of the study is to develop and test a mathematical model for assessing the degree of interrelationship between supply and outflow flows, thereby improving the efficiency of warehouse inventory management. The method was tested using data from January 2026. Advantage: implementation in Excel without specialized software—the tool is accessible to businesses of any size. The study analyzed warehouse processes based on actual data, allowing us to determine the level of material flow synchronization and identify typical inventory management scenarios. The results demonstrated an objective assessment of the proposed approach for diagnosing shortages, overstocking, and deviations from contractual indicators. The practical significance of the study lies in the potential use of the model for operational monitoring of warehouse operations, reducing safety stock levels, increasing delivery readiness, and reducing logistics costs. The model can be used as a basis for Excel-based monitoring of warehouse flows and subsequent integration into digital inventory management tools.