From Producer to Consumer: AI-Blockchain Integration for Sustainable Supply Chain Tracking and Optimization
- Title
- From Producer to Consumer: AI-Blockchain Integration for Sustainable Supply Chain Tracking and Optimization
- Creator
- Abhay Bhaskaran, M.T.; Joseph, Akash Varughese; Thomas, Romal; Kavitha, S.
- Description
- The blockchain is transforming the way supply chains operate. It is a decentralized peer-to-peer system that ensures safe and transparent data interchange. Because there is no central authority, blockchain technology can't be hacked; the data are dispersed throughout numerous nodes. Therefore, more openness, safety, and resistance to tampering are assured as opposed to conventional centralized database systems that depend on a single authority to manage all the data. This would ensure the immutability of the transaction log, which accurately traces the products from origin to destination. The supply chain refers to the transportation and distribution of goods when transactions are verified in real time and integrated into a secure, cryptographic ledger. This decentralized framework provides better tracking of various manufacturers, reduced chances of fraud, and greater trust among the participants. The early understanding based on tracking will definitely helps the stakeholders to improve the blockchain activities, reliability, it will minimize risks, and enhances efficiency. This will parallelly help those who are involved within supply chain management giving high accountability and seamlessness in the movement of details. 2025 IEEE.
- Source
- Proceedings of the 2025 International Conference on Technology Enabled Economic Changes, InTech 2025;pp.489-496
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- AI; Anomaly detection; Autoencoders; Blockchain technology; Classification; Forest; Isolation; Optimization; Supply chain; SVM
- Coverage
- Abhay Bhaskaran M.T., Christ University, Department of Computer Science, Bangalore, India; Joseph A.V., Christ University, Department of Computer Science, Bangalore, India; Thomas R., Christ University, Department of Computer Science, Bangalore, India; Kavitha S., Christ University, Department of Computer Science, Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833152099-1;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Abhay Bhaskaran, M.T.; Joseph, Akash Varughese; Thomas, Romal; Kavitha, S., “From Producer to Consumer: AI-Blockchain Integration for Sustainable Supply Chain Tracking and Optimization,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26172.