Decentralized Pharmaceutical Drug Supply Chain Management and Recommendation System Based on Blockchain and Machine Learning

Abstract

The top preeminence of the current healthcare system is the direct supply of medications amongst the manufacturer supply unit to the consumer. The pharmaceutical medication supply chain mechanism embraces a huge number of stakeholders, inclusive of distributors, product suppliers, retailer, medicine dealers and consumers. Today, forecasting ahead of time is also compelling and essential. Although it has becoming harder to track down the origin of raw materials and keep track of commodities as they move through the supply chain network, this has created chances for fake goods to join the real supply chain. Thus, to elevate and parlay the trackable goods in the pharmaceutical drug business logistics management using blockchain technology and machine learning. Blockchain is a sort of distributed ledger (DLT) that maintains an unchangeable record of all transaction data which is stored in Ethereum network that is transparent to all stakeholders and cannot be manipulated or changed. Implementing a blockchain-based machine learning system will provide the pharmaceutical industry with the tools necessary to improve drug traceability throughout the supply chain, leading to more efficient and secure healthcare in India.