The Contribution of Inventory Management Software to Cost Efficiency in Inventory Holding of Tanzanian Private Companies: A Case of Tanzania Breweries Limited
DOI:
https://doi.org/10.47667/ijppr.v6i3.387Palavras-chave:
Inventory Management Software,, Inventory Tracking, Automated Replenishment, Inventory HoldingResumo
This study assesses the contribution of inventory management software to cost efficiency in inventory holding at Tanzania Breweries Limited (TBL), inventory tracking, and automated replenishment. Conducted at TBL’s Dar es Salaam Tanzania, the research uses a deductive approach with a quantitative design. Data were collected through structured questionnaires from 277 respondents selected via stratified random sampling from a population of 1,279 employees. Analysis was performed using descriptive and multiple regression analysis through IBM SPSS version 27. The findings indicate that all two inventory management software variables were significantly contribute to cost efficiency in inventory holding. Inventory tracking improves visibility and stock optimization; and automated replenishment reduces overstocking by ensuring timely inventory refills. The study concludes that the integration of these technological tools enhances operational efficiency and cost-effectiveness. It provides practical insights for inventory and supply chain specialists in private manufacturing industries, highlighting the strategic role of technology in inventory management. The results empirically support the adoption of modern inventory systems as a means to enhance cost efficiency and improve overall logistics performance.
Downloads
Referências
Angerer, A. (2007). The impact of automatic store replenishment on retail: technologies and concepts for the out-of-stocks problem. Springer Science & Business Media.
Angerer, A., Corsten, D., & Fahrni, P. F. (n.d.). The Impact of Automatic Store Replenishment Systems on Retail from Austria Approved on the application of.
Avlijas, G., Vukanovic Dumanovic, V., & Radunovic, M. (2021). Measuring the effects of automatic replenishment on product availability in retail stores. Sustainability, 13(3), 1391.
Berling, P., & Sonntag, D. R. (2022). Inventory control in production–inventory systems with random yield and rework: The unit‐tracking approach. Production and Operations Management, 31(6), 2628–2645.
Garba, S., Mourad, B., & Chamo, M. A. (2020). The effect of inventory turnover period on the profitability of listed Nigerian conglomerate companies. International Journal of Financial Research, 11(2), 287–292.
Gołaś, Z. (2020). The effect of inventory management on profitability: evidence from the Polish food industry: Case study. Agricultural Economics/Zemědělská Ekonomika, 66(5).
Goyal, S., Hardgrave, B. C., Aloysius, J. A., & DeHoratius, N. (2016). The effectiveness of RFID in backroom and sales floor inventory management. The International Journal of Logistics Management, 27(3), 795–815.
Isiaku, L., & Adalier, A. (2024). Determinants of business intelligence systems adoption in Nigerian banks: The role of perceived usefulness and ease of use. Information Development, 02666669241307024.
Jebbor, S., Chiheb, R., El Afia, A., & Gallab, M. (2023). Designing a fully automated and integrated inventory and replenishment system for hospitals. International Journal of Systems Science: Operations & Logistics, 10(1), 1962429.
Krishna, C. P. R., Rohman, M. Z., & Cahyono, B. (2024). Implementation of Web Inventory Tracking and Monitoring for PT Sucofindo Samarinda Branch: Implementasi Web Inventory Tracking dan Monitoring untuk PT Sucofindo Cabang Samarinda. JATI EMAS (Jurnal Aplikasi Teknik Dan Pengabdian Masyarakat), 8(4), 123–130.
Melewar, T. C., Foroudi, P., & Gupta, S. (n.d.). CORPORATE BRANDING IN LOGISTICS AND TRANSPORTATION.
Ugbebor, F., Adeteye, M., & Ugbebor, J. (2024). Automated Inventory Management Systems with IoT Integration to Optimize Stock Levels and Reduce Carrying Costs for SMEs: A Comprehensive Review. Journal of Artificial Intelligence General Science (JAIGS) ISSN: 3006-4023, 6(1), 306–340.
Valente, F. J., & Neto, A. C. (2017). Intelligent steel inventory tracking with IoT/RFID. 2017 IEEE International Conference on RFID Technology & Application (RFID-TA), 158–163.
Vamsi, A. M., Deepalakshmi, P., Nagaraj, P., Awasthi, A., & Raj, A. (2020). IOT based autonomous inventory management for warehouses. EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2018, 371–376.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
##submission.downloads##
Publicado
Como Citar
Edição
Secção
Licença
Direitos de Autor (c) 2025 International Journal Papier Public Review
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição-CompartilhaIgual 4.0.
