Supply chain operations obtain a transformative method through the combination of Blockchain technology and the Internet of Things (IoT). The framework introduced in this research combines blockchain decentralized ledger technology with IoT real-time data collection to create an automated and secure supply chain operation system. Through smart contracts the framework automates predefined agreement execution thus it eliminates the need for intermediaries and lowers operational delays. Goods equipped with IoT-enabled sensors enable ongoing monitoring which enhances tracking while reducing the dangers from counterfeits and thefts and operational inadequacies. Stakeholder confidence grows through the blockchain’s unchangeable structure that provides tamper-proof recordkeeping for data protection. The framework brings predictive analytics possible through integrated machine learning algorithms which helps businesses make decisions proactively and optimize their resource distribution. The developed system tackles typical supply chain problems through its ability to handle transparency concerns and security weaknesses and operational effectiveness problems. The dual consensus framework allows users to gain better security along with improved scalability capabilities in an optimized system performance. The system establishes regulatory compliance through its immutable audit trails which enables organizations to maintain standards properly. This study adds to the current efforts of supply chain innovation by showing how both blockchain and IoT work together to establish trust-based systems that operate efficiently. Simulation tests combined with real-life case examples demonstrate that the framework successfully minimizes supply chain costs while successfully reducing fraud and sending supply chain processes into full view. The study proceeds to conclude that combining blockchain technology with IoT applications creates a suitable solution which powers modern supply chain management to transition toward resilient automated networks.