Machine learning and block chain in Supply chain

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Shafagat Mahmudova

Dear Taposh Kumar Kapuria ,

Blockchain was originally created to serve as the transaction log for Bitcoin. It provides a distributed ledger for the storage of data records, which are arranged in multiple “blocks.” The data collected includes the time, date, price, and participants involved in each transaction. When one block changes, all the pieces update accordingly, ensuring up-to-date information for every transaction.

https://www.supplychainbrain.com/blogs/1-think-tank/post/31947-applying-blockchain-and-machine-learning-to-drug-supply-chains

Regards,

Shafagat

Taposh Kumar Kapuria

Thanks

Aravinda C V

Article Blockchain Technology in Supply Chain Operations: Applicatio...

May be useful for your query !!!!!

Chinaza Godswill Awuchi

Blockchains enhance the transparency and visibility of SC, enable process automation, eliminate intermediaries and enable real time tracking through traceability, privacy and data management techniques which are all the cornerstones of SC reengineering. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522652/

Machine learning techniques, including a combination of deep analytics, IoT and real-time monitoring, can be used to improve supply chain visibility substantially, thus helping businesses transform customer experience and achieve faster delivery commitments. Blockchain can enable more transparent and accurate end-to-end tracking in the supply chain: Organizations can digitize physical assets and create a decentralized immutable record of all transactions, making it possible to track assets from production to delivery or use by end user. https://marutitech.com/machine-learning-in-supply-chain/

https://www2.deloitte.com/us/en/pages/operations/articles/blockchain-supply-chain-innovation.html

Kiprotich Kiptum

Number of customers using a mobile application for money to prevent theft of money from agents by some shrewd customers.

Chuck A Arize

Blockchain can enable more transparent and accurate end-to-end tracking in the supply chain: Organizations can digitize physical assets and create a decentralized immutable record of all transactions, making it possible to track assets from production to delivery or use by end user. Machine Learning (ML) models, based on algorithms, are great at analysing trends, spotting anomalies, and deriving predictive insights within massive data sets. These powerful functionalities make it an ideal solution to address some of the main challenges of the supply chain industry.