Digital Transformation of Logistics and Financial Systems through AI-Based Predictive Models and Risk Management

Abstract

The study examines the role of artificial intelligence (AI) in transforming logistics and financial systems by integrating predictive analytics, automated decision-making, and resilient data architectures. Based on a synthesis of recent research, the paper highlights how AI optimises maritime and geospatial logistics, enhances the stability of fintech infrastructures, and reshapes digital legal frameworks that ensure data security and accountability. The findings emphasise the importance of distributed databases, API-driven architectures, and intelligent caching mechanisms for improving performance and risk resilience in high-load digital environments. The paper also identifies the intersection between technological progress and legal governance in the context of AI-driven automation, illustrating the emerging paradigm of digital risk management that unites logistics, finance, and electronic law systems into a coherent ecosystem of innovative services.