The digital transformation of supply chains and seaports presents new opportunities and challenges, particularly in terms of sustainability, efficiency, and resilience. Business Intelligence (BI) and Data Science (DS) have emerged as essential facilitators, supporting data-driven decision-making and promoting environmental and social goals. This study aims: (i) to identify the main strategies and innovations arising from the integration of BI and DS in seaports contexts (ii) to propose a conceptual framework linking digitization, sustainability, and operational efficiency. From an exhaustive literature review on the topic eleven strategies were identified, including predictive algorithms for route optimisation, integration of sustainability indicators into BI systems, quantitative models for environmentally sound decision-making, data monitoring for crisis prevention, and decision intelligence for resilience. Other strategies focus on logistics optimisation to reduce CO₂ emissions, adopting ethical and data quality frameworks, using ESG indicators, and incorporating AI into BI dashboards. The findings highlight that these technologies go beyond operational efficiency, offering pathways to greener, smarter, and more resilient supply chains. The paper consolidates fragmented knowledge, provides practical guidance for managers and policymakers, and highlights the role of digital technologies in promoting decarbonisation and sustainable development.