Freight rates can move within hours, and the shipping companies that read commercial data fastest are usually the ones that capture the margin. The Maritime Commercial Analytics and Fleet Performance Training Course by Arab British Fellowship Training Academy equips professionals with the knowledge and practical skills to use Maritime Analytics for commercial planning and operational decision-making.

Delivered within Shipping, Maritime and Ports Training Courses, the programme focuses on using dashboards, KPIs, predictive analytics, and fleet optimisation techniques to support strategic and commercial decisions. Participants learn how to analyse operational and financial data, monitor performance indicators, forecast trends, and implement data-driven strategies that strengthen maritime business performance.

By the end of this course, participants will be able to:

• Explain the principles and applications of Maritime Analytics in commercial shipping.
• Design dashboards and define KPIs that actually support decision-making.
• Apply predictive analytics to forecast demand, cargo volumes, and market trends.
• Use fleet optimization techniques to improve deployment, scheduling, and fuel efficiency.
• Strengthen business intelligence and data-driven management capabilities.
• Support operational planning and performance management through analytics.

Target Audience

• Shipping company managers and executives.
• Commercial and business development managers.
• Fleet management professionals.
• Port operations managers and supervisors.
• Maritime analysts and business intelligence professionals.
• Logistics and supply chain specialists.

Module 1: Why Commercial Decisions Now Start with Data

• Understanding the fundamentals of Maritime Analytics.
• Importance of data-driven decision-making in shipping.
• Sources of commercial and operational maritime data.

Module 2: Dashboards and KPIs That Actually Drive Decisions

• Designing effective dashboards for maritime operations.
• Developing meaningful KPIs for shipping and port performance.
• Benchmarking and reporting for management decision-making.

Module 3: Predictive Analytics for Commercial and Fleet Planning

• Applying predictive analytics in maritime operations.
• Forecasting demand, cargo volumes, and market trends.
• Supporting commercial strategy through predictive models.

Module 4: Optimising Fleet Performance Through Data

• Principles of fleet optimization using operational data.
• Improving vessel deployment and scheduling.
• Optimising fuel efficiency and supporting cost reduction.

Module 5: Business Intelligence and the Future of Maritime Analytics

• Integrating business intelligence into maritime management.
• Artificial intelligence and advanced analytics in shipping.
• Digital transformation and future trends in maritime data analytics.