Traceability and Inventory Management System Using Real-Time Data Analytics

In the rapidly evolving world, inventory control and product traceability play a vital role in ensuring the smooth functioning of the supply chain. In this paper, we propose a realtime data analytics-based Traceability and Inventory Management System. It uses IoT devices, RFID and barcode scanning, and cloud computing to put in place a continuous inventory management system which operates at various points along the supply chain.
It increases transparency, eliminates human error and supports decision-making via predictive analytics. It avoids overstocking and stock-outs through real-time notifications and alerts. Moreover, the traceability aspect allows full product traceability from source to customer, aiding compliance and quality assurance.

IoT, RFID, Barcode, Inventory Management, RealTime Data Analytics, Supply Chain Traceability, Cloud Computing

1. B. Takawira and B. Duri, Integrating IoT and Blockchain to achieve Real-Time Inventory Visibility and Traceability: A Bibliometric-Systematic Review, Logistics, vol. 10, no. 3, p. 57, Mar. 2026, doi: 10.3390/logistics10030057. [Google Scholar] [Crossref]

2. M. R. Bendhi, Supply Chain Transparency: Real-Time Analytics to Track Product, Detect Bottlenecks, and Optimize Logistics, Int. J. Sci. Res. Manag., vol. 13, no. 4, pp. 2125–2144, Apr. 2025, doi: 10.18535/ijsrm/v13i04.ec02. [Google Scholar] [Crossref]

3. S. Vashishtha, “Real-Time Data Processing to Optimize the Inventory in Distributed Cloud Systems, Journal of Quantum Science and Technology, vol. 2, no. 4, pp. 67–82, 2025, doi: [Google Scholar] [Crossref]

4. 10.63345/jqst.v2i4.357. [Google Scholar] [Crossref]

5. S. Bekkouche and T. de-Magistris, Digitalization in the Agri-Food [Google Scholar] [Crossref]

6. Supply Chain: Traceability, Transparency, and Sustainability, [Google Scholar] [Crossref]

7. Frontiers in Blockchain, vol. 8, 2025, doi: [Google Scholar] [Crossref]

8. 10.3389/fbloc.2025.1701872. [Google Scholar] [Crossref]

9. W. Li, R. Song, and K. Yu, Consumer Adoption of Food Blockchain Traceability: Insights into TAM and TR Models, Frontiers in Sustainable Food Systems, vol. 9, 2025, p. 1515188, doi: 10.3389/fsufs.2025.1515188. [Google Scholar] [Crossref]

10. P. Cecil, “Supply Chain Visibility and Real-Time Tracking: Transforming Inventory Management and Customer Trust, Global Business and Economics Journal, Jun. 2025. [Google Scholar] [Crossref]

11. S. Sallam, M. Mohamed, and A. W. Mohamed, Internet of Things (IoT) in Supply Chain Management: Challenges, Opportunities, and Best Practices, Sustainable Machine Intelligence Journal, vol. 2, 2023. [Google Scholar] [Crossref]

12. I. A. Adeniran et al., Optimization of the Logistics and Supply Chain Management by Advanced Analytics, Engineering Science and Technology Journal, vol. 5, no. 8, 2024. [Google Scholar] [Crossref]

13. M. Kashem et al., Supply Chain Disruption versus Optimization: A Review on Artificial Intelligence and Blockchain, Knowledge, vol. 3, no. 1, pp. 80–96, 2023. [Google Scholar] [Crossref]

14. B. Unhelkar et al., “Improving Supply Chain Performance through RFID Technology and Decision Support Systems in Industry 4.0. J. Information Management Data Insights, vol. 2, no. 2, 2022. [Google Scholar] [Crossref]

15. V. Roy, Contrasting Supply Chain Traceability and Supply Chain Visibility, Int. J. Logistics Management, vol. 32, no. 3, pp. 942–972, 2021. [Google Scholar] [Crossref]

16. L. Yeung Ping, P. Wong and T. C. Han, A Study of Data-Driven Methods to Inventory Optimization. [Google Scholar] [Crossref]