Demo: Enabling Trustworthy Cold Chain Logistics Through Blockchain and Machine Learning

Internet of Things (IoT) sensors monitor temperature-sensitive goods throughout the supply chain. Nowadays, blockchain is being widely used for traceability, transparency, and immutable storage of this data. However, this approach lacks a mechanism to assess the trustworthiness of the data, and as a result, the reliability of the system is constrained by the quality of the data being added. IoT sensor data can be compromised for various reasons, including sensor malfunctions, deliberate tampering, or human error. This demonstration presents a solution that integrates machine learning techniques with blockchain to enhance data trust in cold chain logistics.