Citation:

Gowtham Ramakrishnan, Achyutha Mohan, 2026. "Inventory Optimization Strategies in High-Value, Fast-Moving Industrial Goods", ESP Journal of Engineering & Technology Advancements  6(2): 30-36.

Abstract:

Industrial products that have a high value and are moving fast are difficult to handle because they are highly priced, come and go, and the supply chain procedures are complex. The review is a comprehensive description of numerous optimization approaches that can be employed to attain improved inventory performance, cost reduction, and agility. It is concerned with changing the inventory practices to the strategic business goals, enhancing the performance of the warehouse with the best-known practices, and applying the latest technologies, including the big data analytics and machine learning to predict the demand. Combination of financial measures, mobile phones, and the combined supply chain models, are also listed as the enablers of the effective inventory management.

References:

[1] Weber, J., & Johansson, L. (2025). Aligning Inventory With Strategic Priorities Across Factory Boundaries-More Than Moving Plates.

[2] Harfi, J. (2025). Warehouse Efficiency Improvement through Inventory Management Techniques: Case Analysis.[3] Baidoo, G. (2025). Using big data analytics to optimise inventory management in the US e-commerce warehouses. Int J Res Sci Innov, 12(7), 1580-94.[4] Reshma, P., & Rao, N. R. (2025). AN ANALYTICAL FINANCIAL INVENTORY MANAGEMENT WITH REFERENCE TO KALPATARU GLOBAL ALLOYS (P) LTD, KADIVEDU.

[3] Baidoo, G. (2025). Using big data analytics to optimise inventory management in the US e-commerce warehouses. Int J Res Sci Innov, 12(7), 1580-94.[4] Reshma, P., & Rao, N. R. (2025). AN ANALYTICAL FINANCIAL INVENTORY MANAGEMENT WITH REFERENCE TO KALPATARU GLOBAL ALLOYS (P) LTD, KADIVEDU.

[4] Reshma, P., & Rao, N. R. (2025). AN ANALYTICAL FINANCIAL INVENTORY MANAGEMENT WITH REFERENCE TO KALPATARU GLOBAL ALLOYS (P) LTD, KADIVEDU.

[5] Thakur, Y., Sai Sumedha, A., Goalla, K., Kumar Burra, P., & Kumar Depuru, B. (2025). Forecasting Apparel Sales Using Time Series Models and Machine Learning Techniques for Cost-Effective Procurement. International Journal of Innovative Science and Research Technology, 10(6), 825-839.

[6] Hasan, M. (2025). Internship Report On Zubair Enterprise: Supply Chain Management.

[7] Rankawat, L. (2025). The Crucial Role of Business Analytics in Supply Chain Management. IJSAT-International Journal on Science and Technology, 16(3).

[8] Jaya, R. L., & Daryatno, A. B. (2025, July). Analysis of the Effect of Net Profit Margin, Cash Conversion Cycle and Free Cash Flow on Company Value with Company Size and Dividend Payout Ratio as Moderation Variables. In Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH 2024) (pp. 93-101). Atlantis Press.

[9] Sumesh, A., Raghuram, P., Venkata, S. K. S., Narassima, M. S., Thenarasu, M., McDermott, O., & Venkata, R. M. (2025). Data-driven warehouse design: a decision tree approach with integrated mobile application. International Journal of Management Science and Engineering Management, 1-20.

[10] Walter, A. B., Stella, N. C., & Roseline, D. O. I. Channel Collaboration and Market Presence of Fast Moving Consumer Goods Distributors in Rivers State.

Keywords:

Industrial products that have a high value and are moving fast are difficult to handle because they are highly priced, come and go, and the supply chain procedures are complex. The review is a comprehensive description of numerous optimization approaches that can be employed to attain improved inventory performance, cost reduction, and agility. It is concerned with changing the inventory practices to the strategic business goals, enhancing the performance of the warehouse with the best-known practices, and applying the latest technologies, including the big data analytics and machine learning to predict the demand. Combination of financial measures, mobile phones, and the combined supply chain models, are also listed as the enablers of the effective inventory management.