Platform architecture approach for managing traceability, visibility, and risk management in freight transportation

Abstract

Freight transportation is one of the largest and fastest-growing industries in the world. The movement of goods is a complex process that involves a wide variety of factors, including environmental factors and transportation routes. This paper proposes a comprehensive platform architecture that integrates real-time tracking, data collection, AI-based analytics, risk management, and liability-based decision making. The proposed platform consists of six interconnected components designed to improve traceability, visibility, and risk management in freight transport. The core components of the proposed platform are realtime tracking, geolocation tracking, user interfaces, liability considerations, and telemetry data collection. The model consists of six components that enable dynamic monitoring and management of freight movement throughout the supply chain. The first component is tracking, and the second focuses on the risk assessment algorithm to evaluate the impact of environmental factors on transportation routes. The third component is liability, providing a robust framework for aligning logistics operations with legal, ethical, and safety standards. Finally, the proposed model offers a vision for a more efficient, secure, and compliant logistics industry. This research lays the foundation for the continued evolution of modern freight transportation systems by integrating advanced technologies and addressing the complexities of the field.