Blockchain-Driven NSGA III-GKM Framework for Enhancing Transparency and Trust in E-Commerce Supply Chains

This study focuses on improving transparency and trust in e-commerce supply chains by integrating blockchain technology. This is very important in blockchain because it is necessary to secure, record, verify and share data with multiple parties to ensure transparency and trust. We introduce the advanced combining technology called blockchain-based NSGA III-GKM to achieve this. Genetic K-means clustering (GKM) and the Non-dominated Sorting Genetic Algorithm (NSGA-III) are two advanced algorithms combined with the advanced blockchain technology used novelly to achieve this. Here, the novelty lies in using NSGA III for multi-objective optimization and GKM to improve clustering and identify meaningful patterns. Blockchain systems produce vast volumes of complex data; therefore, it is essential to identify meaningful patterns and trends. NSGA III and GKM solve these problems of blockchain. This study used NSGA III to solve problems with multiple objectives, such as improving trust, transparency and transport cost reduction. By using NSGA, the best solutions that can balance these challenging goals are effectively identified. At the same time, GKM improves the grouping process by fine-tuning the data points classified into similar clusters. This helps to identify the specific trends in blockchain-based supply chain data. By combining these methods, we can improve the trends and action mechanisms in e-commerce supply chains. These combined methods assist companies in identifying effective supply chain strategies, which help minimize risks and allow them to adapt to continuously changing blockchain systems. Real-world data from e-commerce supply chains were used to test the method’s efficacy. According to the findings, a balance was successfully shown between various goals and provided suggestions for improving supply chain networks driven by blockchain. Overall, by combining blockchain with NSGA III and GKM, it not only ensures security and trust but also leverages advanced analytics to improve transparency and operational efficiency. Therefore, it will help organizations to achieve resilient and efficient supply chain management.