Course Description: This course explores how predictive analytics and big data can transform rail logistics, enabling companies to anticipate demand, optimize cargo movement, and prevent disruptions.
Objectives:
- Understand the role of predictive analytics in rail logistics.
- Apply big data analytics to optimize rail freight planning.
- Develop machine learning models for cargo demand forecasting.
- Integrate AI to improve operational efficiency in freight scheduling.
- Optimize warehouse and rail yard operations using data-driven insights.
- Enhance risk management with predictive failure detection.
- Utilize real-time analytics to reduce bottlenecks and congestion.
- Improve asset utilization and minimize idle time through AI.
- Automate decision-making in railway logistics.
- Design a predictive analytics framework for rail freight management.
