Decentralized Autonomous Organization Model Powered by Blockchain and AI for Scalable Supply Chain Operations

The governance in a centralized supply chain brings about bottlenecking, audit delays, and asymmetry of trust costs, which all depend upon the size of the network; as the number of members in the consortium increases, the governance authority bottleneck widens, the audit trail breaks down into fragments, and the cost of the intermediary increases. The present research develops a model of DAO + AI involving a governance layer using the Hyperledger Fabric permissioned blockchain and an AI decision scoring engine for 24 supply chain consortiums assessing 3,600 governance decisions (2,700 training/900 testing) of 28,800,000 on-chain transactions within one year. The framework achieves governance efficiency score 0.884 against expert-validated benchmarks, outperforming AIonly optimization (0.764; +15.7%), Blockchain-only DAO (0.724; +22.1%), and traditional centralized governance (0.584; +51.4% [(0.884-0.584)/0.584]). Operational performances are reflected in an increment of 2,382.4% in the number of decisions made per day, going up from 3.4 to 84.4 decisions made per day; an 87.0% decrease in the time required to resolve disputes from 18.4h to 2.4h; 48.4% operational cost reduction; and 94.8% compliance rate post deployment. The sub-dimension performances are represented in terms of Procurement Automation (0.924), Compliance Verification (0.884), Dispute Resolution (0.844), and Multi-stakeholder Consensus (0

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