Blockchain in Logistics: Applications, Benefits, Challenges and Future Outlook

Sharma, VA

doi:https://doi.org/10.55041/ijcope.v2i8.177

Volume 02, Issue 8

Published on: August 2026

BLOCKCHAIN IN LOGISTICS: APPLICATIONS, BENEFITS, CHALLENGES AND FUTURE OUTLOOK

VA Sharma

Dept. of mathematics ,Arts, commerce and science college, Amravati

DOI:https://doi.org/10.55041/ijcope.v2i8.177

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Blockchain technology offers a distributed, immutable ledger that can improve transparency, traceability and trust among multiple parties in logistics and supply-chain networks. This expanded review synthesises systematic literature from 2018–2025, presents key real-world case studies, quantifies reported benefits, catalogues persistent challenges, and examines the convergence of blockchain with IoT sensors, artificial intelligence and digital twins. Emphasis is placed on food traceability, maritime shipping, pharmaceuticals, sustainability reporting and the socio-technical conditions required for successful adoption. The review also draws on related recent work on supply-chain resilience, digital twins, AI–blockchain integration and emerging quantum approaches to logistics optimization. Illustrative figures and a market-growth curve accompany the analysis.

Keywords: Blockchain; Logistics; Supply Chain Management; Traceability; Smart Contracts; Trade Lens; IBM Food Trust; Permissioned Ledger; Interoperability; Digital Twin; IoT Integration; Literature Review; Supply Chain Resilience; Quantum Logistics.

How to Cite this Paper

Sharma, V. (2026). Blockchain in Logistics: Applications, Benefits, Challenges and Future Outlook. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.177

Sharma, VA. "Blockchain in Logistics: Applications, Benefits, Challenges and Future Outlook." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.177.

Sharma, VA. "Blockchain in Logistics: Applications, Benefits, Challenges and Future Outlook." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.177.

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References

Harish, A.R., Liu, X., Wang, X., Pan, S., Dai, H.-N., Li, M. & Huang, G.Q. (2025). Blockchain For Logistics 4.0: A Systematic Review and Prospects. Transportation Research Part E: Logistics and Transportation Review, 201, 104269.

Mvubu, M. & Naude, M.J. (2024). Blockchain in the logistics sector: A systematic literature review of benefits and constraints. Journal of Transport and Supply Chain Management, 18. https://doi.org/10.4102/jtscm.v18i0.1068

Akarshan Gulhane, “Distributional Extension of the FKF Transform and Its Relevance to Supply-Chain Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026 , DOI: https://doi.org/10.55041/ijcope.v2i8.137

Akarshan Gulhane,“ Sequential Convergence in the Testing Function Space of the Two-Sided FKF Transform,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.138

Akarshan Gulhane,“ Spectral Analysis for Multi Scale Supply Chain Dynamics and ResidueBased Resonance Extraction in Hybrid-Vehicle Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.141

Akarshan Gulhane,“ Shift-Invariant Spectral Analysis of Multi-Echelon Supply-Chain Lead Times via the FKF Transform,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.136

Akarshan Gulhane,“ Spectral Framework Based on the FKF Transform for Supply Chain Dynamics and Resilience,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.140

Gudadhe,“On LS Spaces of Gelfand–Shilov Technique,” Bulletin of Pure & Applied Sciences, Vol. 25, Issue 1, pp. 351–354, 2006.

Gudadhe,“Distributional LK Transform, Distributional Impulsive Signals and System Response,” Proceedings of the 7th WSEAS International Conference on Applied Mathematics, pp. 1–6, 2005.

Akarshan Gulhane,“ Spectral Differential Properties of the Distributional FKF Transform with Applications to Resilient Supply-Chain Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.139

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•All submissions are screened under plagiarism detection.
•Review follows editorial policy.
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•Peer Review Type: Double-Blind Peer Review
•Published on: Aug 21 2026

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