Acta Informatica Pragensia 2025, 14(3), 306-315 | DOI: 10.18267/j.aip.2591842

Adopting Business Intelligence to Enhance Cross-Dock Operations

Jakub Andar ORCID..., Jakub Dyntar ORCID...
Faculty of Economics, Technical University of Liberec, Liberec, Czech Republic

Background: Cross-docking optimization plays a crucial role in supply chain management by enhancing efficiency, reducing costs and streamlining operations. However, challenges arise from inaccurate data and a lack of digital tools to support decision making.

Objective: The objective of this study was to integrate business intelligence (BI) tools with cross-dock operation data to optimize warehouse layout and improve decision making processes.

Methods: A combination of Microsoft Visio and Microsoft Power BI was used to visualize and optimize warehouse layout based on historical cross-dock operation data. The methodology focused on integrating real-time data with spatial layout visualization to minimize total travel distance within the warehouse.

Results: The integration of BI tools led to a 10% reduction in total travel distance, enhancing operational efficiency and reducing costs. The study demonstrates that BI-based decision support tools offer significant advantages over traditional optimization methods. However, challenges remain in scalability, real-time adaptability and user adoption.

Conclusion: The proposed BI-driven solution improved warehouse layout optimization and facilitated data-driven decision making. Future research should explore the integration of BI with other optimization techniques and investigate its scalability in different warehouse environments.

Keywords: Logistics; Cross-docking; Layout; Data visualisation; Business intelligence.

Received: October 28, 2024; Revised: January 29, 2025; Accepted: January 29, 2025; Prepublished online: March 7, 2025; Published: August 19, 2025  Show citation

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Andar, J., & Dyntar, J. (2025). Adopting Business Intelligence to Enhance Cross-Dock Operations. Acta Informatica Pragensia, 14(3), 306-315. doi: 10.18267/j.aip.259
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