Logistics Network Analytics

Course Overview

A practical, supply‑chain‑focused course that teaches learners how to analyse and optimise end‑to‑end logistics networks, including transportation flows, warehousing, distribution, multimodal routing, and demand‑supply alignment. The course covers network design, cost‑to‑serve modelling, lane performance, inventory positioning, capacity planning, predictive analytics, and scenario simulation across regional and global logistics ecosystems.

Target Audience

• Supply chain, logistics, and distribution professionals

• Network planners, transportation managers, and operations teams

• Data analysts, BI developers, and operations research specialists

• Freight, 3PL, e‑commerce, and retail logistics teams

• Students or professionals entering supply chain or logistics analytics

Course Outcomes

• Understand logistics network structures, flows, KPIs, and optimisation frameworks

• Analyse transportation lanes, warehouse performance, and multimodal routing efficiency

• Evaluate cost‑to‑serve, lead times, service levels, and capacity utilisation

• Apply predictive analytics for demand, routing, congestion, and capacity forecasting

• Use network modelling and simulation to test scenarios and optimise design

• Build dashboards for transportation, distribution, and network performance monitoring

• Identify bottlenecks, inefficiencies, and risk exposures across the logistics network

• Communicate network insights clearly to supply chain, operations, and leadership teams