This project was part of our Data Economy course—a collaborative research journey with a team of six. My focus explored how modern logistics comes alive through Operational Routing & Scheduling in Multi-Modal Systems, where data turns complexity into precision.
Industry
B2B Services
Scope
Web
Duration
6 weeks
Stage
Scale-up
Introduction
THE Operational Routing & Scheduling in Multi-Modal Logistics analyses how operational routing and scheduling in multi-modal logistics are transforming from static planning models into intelligent, data-driven systems. It focuses on the role of predictive analytics, real-time data integration, and AI in addressing supply chain volatility, disruptions, and increasing operational complexity
The analysis demonstrates that data-driven routing enables proactive decision-making across logistics operations. By applying predictive models for disruption management, dynamic routing, and last-mile optimization, organisations can significantly improve efficiency, reduce costs, and enhance delivery reliability. Overall, the shift toward high-velocity data and AI-driven systems creates more adaptive, resilient, and customer-centric logistics networks.