Exploring the Relationship Between Inventory Optimization and Cost Reduction in Strategic Logistics Management
Abstract
This study examines the relationship between inventory optimization and cost reduction within strategic logistics management, with the aim of identifying how effective inventory practices enhance operational efficiency and reduce overall logistics costs. In the context of increasing pressure for cost efficiency, the study addresses a gap in the literature concerning the integrated role of inventory management in achieving both cost savings and service performance improvements.
A structured literature review was conducted, drawing on academic publications, industry reports, and case studies. The analysis focuses on inventory optimization techniques, cost reduction strategies, and emerging technological solutions, using a thematic synthesis approach to identify key patterns and relationships.
The findings demonstrate that inventory optimization contributes significantly to reducing warehousing and transportation costs through improved inventory turnover and minimized holding levels. The adoption of advanced technologies, including AI-driven forecasting and RFID systems, further enhances inventory accuracy and operational performance. In addition, optimized inventory systems improve customer service outcomes by increasing order fulfillment rates and reducing stockouts. However, the study also identifies key challenges, particularly high implementation costs and organizational resistance to change.
This study contributes to the literature by providing an integrated perspective on the role of inventory optimization in cost efficiency and logistics performance. The findings highlight the importance of aligning inventory management practices with broader supply chain strategies. Future research should further examine the long-term impact of digital technologies on inventory optimization and cost structures.
Keywords: Inventory optimization; Logistics cost reduction; Supply chain management; Artificial intelligence; RFID; Operational efficiency.
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Adeniran, I. A., Efunniyi, C. P., Osundare, O. S., & Abhulimen, A. O. (2024). Optimizing logistics and supply chain management through advanced analytics: Insights from industries. Engineering Science & Technology Journal, 5(8).
Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Dacosta, E., & Tian, Z. (2020). Green warehousing, logistics optimization, social values and ethics and economic performance: the role of supply chain sustainability. The International Journal of Logistics Management, 31(3), 549–574.
Al Shukaili, S. M. S., Jamaluddin, Z., & Zulkifli, N. (2023). The impact of strategic inventory management on logistics organization’s performance. International Journal of Business and Technology Management, 5(3), 288–298.
Boujlil, R., & Alsunbul, S. (2024). Strategic Optimization Technique for Achieving Sustainable Inventory Management in Medium-Sized Enterprises. American Journal of Business & Operations Research, 11(1).
Chen, W., Men, Y., Fuster, N., Osorio, C., & Juan, A. A. (2024). Artificial intelligence in logistics optimization with sustainable criteria: A review. Sustainability, 16(21), 9145.
Chen, Y. (2023). Optimizing the efficiency and cost of enterprise logistics warehouse: from the perspective of green supply chain management. Journal of Business Leadership and Management, 1(1), 26–46.
Christian, T. F., & Kaihatu, T. S. (2022). The role of cost reduction and inventory optimization on the partnership in purchasing and logistics, an empirical study of food and beverage companies from Indonesia.
Debala, G., Bhat, M. A., & Khan, S. T. (2023). Exploring the nexus of inventory optimization and operational efficiency: Data-driven insights from public sector organizations in Ethiopia. Cogent Business & Management, 10(2), 2213966.
Ghodake, S. P., Malkar, V. R., Santosh, K., Jabasheela, L., Abdufattokhov, S., & Gopi, A. (2024). Enhancing supply chain management efficiency: A data-driven approach using predictive analytics and machine learning algorithms. International Journal of Advanced Computer Science & Applications, 15(4).
Granillo-Macías, R. (2020). Inventory management and logistics optimization: a data mining practical approach. LogForum, 16(4).
Grant, O. (2024). Exploring supplier relationship management in the context of e-commerce.
Hasan, M. R. (2024). Supply chain in Meena Bazar: focus on demand forecasting, inventory management, reverse logistics, and business expansion.
Holloway, S. (2024). Exploring supplier relationships and inventory optimization in high-technology industries.
Holloway, S. (2025). Optimizing inventory and strengthening supplier relationships in high-technology industries. Available at SSRN 5135344.
MoghadasNian, S. (2025). AI-driven inventory optimization in airline logistics: Enhancing efficiency, sustainability, and operational performance. Proceedings of the International Conference on Artificial Intelligence in the Age of Digital Transformation. International Organization of Academic Studies, Tbilisi, Georgia.
Mwangi, A. W., & Noor, I. S. (2024). Supply chain optimization and performance of large manufacturing firms in Nairobi City County, Kenya. International Journal of Social Sciences Management and Entrepreneurship (IJSSME), 8(2).
Noor, I. S. (2025). Cost optimization and performance of pharmaceutical firms in Nairobi City County, Kenya. International Journal of Management and Business Research, 7(1), 511–521.
Olaniyi, O. A., & Pugal, P. S. (2024). Optimising inventory management strategies for cost reduction in supply chains: A systematic review. Jurnal Akuntansi dan Bisnis: Jurnal Program Studi Akuntansi, 10(1), 48–55.
Oteri, O. J., Onukwulu, E. C., Igwe, A. N., Ewim, C. P.-M., Ibeh, A. I., & Sobowale, A. (2023). Cost optimization in logistics product management: strategies for operational efficiency and profitability. International Journal of Business and Management. Forthcoming.
Pai, J. B., & Hungund, S. (2025). Investigating the mediating roles of inventory management and supply chain disruption factors in logistics performance—an evidence from the construction industry from Coastal Karnataka, India. Results in Engineering, 26, 104822.
Panigrahi, R. R., Shrivastava, A. K., & Kapur, P. K. (2024). Impact of inventory management practices on the operational performances of SMEs: review and future research directions. International Journal of System Assurance Engineering and Management, 15(5), 1934–1955.
Pasupuleti, V., Thuraka, B., Kodete, C. S., & Malisetty, S. (2024). Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management. Logistics, 8(3), 73.
Qu, T., Huang, T., Nie, D., Fu, Y., Ma, L., & Huang, G. Q. (2022). Joint decisions of inventory optimization and order allocation for omni-channel multi-echelon distribution network. Sustainability, 14(10), 5903.
Sutrisno, T. F. C. W., & Kaihatu, T. S. (2022). The role of cost reduction and inventory optimization on the partnership in purchasing and logistics, an empirical study of food and beverage companies from Indonesia. Jurnal Aplikasi Manajemen, 20(1), 208–217.
Tao, S., Liu, S., Zhou, H., & Mao, X. (2024). Research on inventory sustainable development strategy for maximizing cost-effectiveness in supply chain. Sustainability, 16(11), 4442.
Temitope, A. (2025). Integrating hybrid vendor management systems with predictive analytics for proactive inventory optimization and lead time reduction in high-pressure supply chains.
Zhang, B., Tan, W. J., Cai, W., & Zhang, A. N. (2024). Leveraging multi-agent reinforcement learning for digital transformation in supply chain inventory optimization. Sustainability, 16(22), 9996.
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