Blockchain and AI-Enabled Pharmaceutical Supply Chain Tracker

Abstract

The pharmaceutical industry struggles with issues like counterfeit medicines, poor transparency, and inefficient inventory handling. This study intro- duces a new system that combines Blockchain, Smart Contracts, and Ar- tificial Intelligence (AI) to build a safer and more reliable supply chain.

Blockchain records every step securely and makes transactions tamper- proof, while smart contracts automatically verify and manage supply chain activities. AI is used to forecast medicine shortages so that reorders can be placed before stock runs out. The system is developed using Python, SQLite, and JSON, and experimental results show better tracking, fewer manual processes, and smarter inventory control. By bringing these tech- nologies together, the proposed solution not only reduces the risk of counter- feit drugs but also increases the overall efficiency of pharmaceutical supply chains.

This integrated approach highlights how emerging technologies can be combined to create practical solutions for real-world healthcare challenges. Beyond pharmaceuticals, the framework can also inspire applications in other supply chains where trust, transparency, and predictive management are critical. Importantly, the entire blockchain and smart contract logic are implemented directly in Python, without relying on Solidity, Ganache, or any external blockchain platforms, making the system lightweight, self- contained, and easier to deploy.