Abstract: In today’s fast-paced and highly competitive global trade environment, the shipping and logistics industry faces increasing pressure to enhance efficiency, reduce costs, and improve decision-making. Data analytics has emerged as a transformative force, offering powerful tools to extract actionable insights from vast amounts of structured and unstructured data. This study explores the application of data analytics in the shipping and logistics sector, focusing on its role in improving operational accuracy, demand forecasting, route optimization, inventory management, and customer satisfaction. Through a critical review of existing literature, industry practices, and case studies, the research highlights how data-driven strategies can lead to more agile and resilient supply chains. The project also discusses the challenges involved in adopting analytics, including data integration, system interoperability, and organizational readiness. Ultimately, the findings underscore the potential of data analytics to serve as a strategic asset that drives innovation and performance in the shipping and logistics domain.

| DOI: 10.17148/IARJSET.2025.125105