Supply Chain Management Growth with the Adoption of Blockchain Technology and Machine Learning

The database used by blockchain innovation is run by numerous components and creates a network pattern using hash indexes. The blockchain employs numerous nodes and transmits numerous data access points, decreasing reliance on the primary Internet server and preventing the danger of data destruction and server breakdown. The data files saved in the blockchain are protected using encryption techniques to maintain their authenticity and prevent illegally added or discarded data files. With technological characteristics like non-tampering, distributed ledger, and reliability, blockchain innovations and machine learning have innate benefits in supply chain finance. They also have great prospects to construct faith to overcome the major issues in supply chain finance, which helps foster economic advancement in the Tonkin Gulf region. To provide recommendations on how supply chain finance could advance in the Tonkin Gulf region through the application of blockchain innovation, this study emphasises providing research on the topic. This article proposes blockchain innovation, supply chain banking threats assessment on the blockchain and machine learning, supply chain finance implementation research methodology in the Tonkin Gulf region, and supply chain finance game applications for relevant studies. The empirical findings presented in this paper demonstrate that the built blockchain supply chain finance platform has an algorithm with an overall processing time of 4.10 seconds, a computational efficiency that is quicker, and the ability to analyse the pertinent concerns more accurately.