STOCK MANAGEMENT SYSTEM

Authors

  • Annie O. Egwali Department of Computer Science, Faculty of Physical Sciences. University of Benin, Benin City, Nigeria. Author
  • Emmanuel Itua Ikhalo Department of Computer Science, Faculty of Physical Sciences. University of Benin, Benin City, Nigeria. Author

DOI:

https://doi.org/10.60787/tnamp-19-71-78

Keywords:

Stock Management System, Inventory Management, Web Application, Shelf Management, Forecasting

Abstract

Most existing stock management system has several drawbacks which includes technical issues and downtime, some systems need intensive training of employees in order to use the software effectively which takes time, some system rely on data storage and processing, raising concerns about data security and privacy. Some are not portable and so create a dependency on technology and difficulty in keeping old records. This study aims to develop a Stock Management System that utilizes a client-server model and a connected database to track the sale of items, interpret data, and support multiple stores and warehouses. The system plays a crucial role in controlling material movement, storage, and transactions within a warehouse, including shipping, receiving, put away, and picking. It optimizes warehouse utilization and helps determine the economic order quantity and reorder point for each product, enabling cost-cutting measures during economic slowdowns. The proposed system implements a web application for warehouse management and product performance tracking, facilitating accurate reordering, forecasting, and demand analysis. The system ensures proper inventory management by effectively tracking incoming and outgoing inventories. This will enable decision makers to initiate accurate re-order and make forecast and demand of the product at any point in time and a proper management of inventories.

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References

Srinivasa Rao, K. (2014). An Analytical Study on Inventory Management in Commercial Vehicle in India. International Journal of Engineering Research, 3(6), 378-383.

Anichebe, N. A., and Agu, O. A. (2013). Effect of Inventory Management on Organizational Effectiveness. Information and Knowledge Management, 3(8), 92-100.

Kotler, P. and Armstrong, G. (2004) Principles of Marketing. 10th ed. Upper Saddle River: Prentice Hall. Management Science, pp. 982-1003.

Wilson, E., and Turner, M. (2022). Lean Principles in Stock Management: A Case Study in the Manufacturing Industry. OrganisationalBehaviour and Human Decision Processes, 50 (2), pp. 179-211.

White, C. (2023). RFID Technology in Stock Management: Enhancing Inventory Accuracy and Efficiency. MIS Quarterly, pp. 425-478.

Meuter, M.L., Ostrom, A.L., Roundtree, R.I., and Bitner, M.J. (2000) Self-Service Technologies: Understanding Customer Satisfaction with Technology-based Service Encounters. The Journal of Marketing, 64 (3), pp. 50-64.

Reed, T. (2023). Risk Management in Stock Management: A Comparative Study of Different Industries. . Management Science, 46 (2), pp. 186-204.

Park, K., and Lee, J. (2023). Internet of Things (IoT) Applications in Stock Management Systems. MIS quarterly, pp. 125-143.

Gupta, R. (2021). Demand Forecasting Techniques for Effective Stock Management. B2C Strategies and Models, pp. 1-17.

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Published

2024-03-29

How to Cite

STOCK MANAGEMENT SYSTEM. (2024). The Transactions of the Nigerian Association of Mathematical Physics, 19, 71-78. https://doi.org/10.60787/tnamp-19-71-78

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