Leveraging Reinforcement Learning and Blockchain Technology for Enhanced Supply Chain Management Efficiency and Transparency

In today’s complex global economy, supply chain management (SCM) efficiency, transparency and security face enormous challenges. The benefits of emerging technologies such as reinforcement learning (RL) and blockchain provide a transformational approach to these issues. This study explores the integration of RL and blockchain technologies to enhance the SCM process. Reinforcement learning, a subset of machine learning, enables systems to learn optimal design through trial and error interactions with dynamic environments When applied to SCM, RL algorithms can continuously learn from supply chain data and adjust processes in real-time for routing, optimal inventory management, and demand forecasting. Blockchain technology supports RL by creating a decentralized and immutable ledger that provides transparency and security throughout the supply chain. Every transaction from raw materials to end products is recorded in the blockchain, creating an accountable process that increases trust among stakeholders, decreases it fraud and integrates smart contracts to keep the transaction automated, ensure compliance with predetermined conditions and increase operational efficiency. This paper presents a framework for integrating RL and blockchain in SCM, focusing on the benefits of integrating enterprises with these technologies. The proposed approach demonstrates how RL can enable adaptive intelligent decision making, while ensuring the integrity and transparency of blockchain data.