Pooja Pandya,
Sarika Odiya,
Sonal Bhatu,
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
 - Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
 - Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
 
Abstract
This study examines the significant potential of blockchain technology in enhancing smart supply chain inventory management. It tackles ongoing issues like inconsistent inventory records, data update delays, and high operational costs due to manual processes and the involvement of intermediaries. Blockchain uses a decentralized and immutable ledger to provide all participants in the supply chain with real-time access to accurate data, promoting transparency and reducing discrepancies. The research emphasizes the importance of smart contracts in automating key supply chain tasks such as order placement, shipment verification, and inventory updates. The study presents a thorough approach to implementing blockchain technology, covering aspects from data collection and network setup to smart contract design, testing, deployment, and ongoing improvement. Blending theoretical insights with analysis, the research highlights the significant benefits of blockchain in creating more efficient and cost-effective supply chains, advocating for broader adoption of this technology in supply
chain management.
Keywords: Blockchain technology, economic order quantity (EOQ) inventory management, supply chain management, logistic management, sharding, soft fork
[This article belongs to Journal of Advanced Database Management & Systems ]
Pooja Pandya, Sarika Odiya, Sonal Bhatu. Smart Supply Chain Inventory Management Using Blockchain Technology. Journal of Advanced Database Management & Systems. 2025; 12(01):1-6.
Pooja Pandya, Sarika Odiya, Sonal Bhatu. Smart Supply Chain Inventory Management Using Blockchain Technology. Journal of Advanced Database Management & Systems. 2025; 12(01):1-6. Available from: https://journals.stmjournals.com/joadms/article=2025/view=192938
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Journal of Advanced Database Management & Systems
| Volume | 12 | 
| Issue | 01 | 
| Received | 20/12/2024 | 
| Accepted | 03/01/2025 | 
| Published | 08/01/2025 | 
| Publication Time | 19 Days | 
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