While artificial intelligence accelerates cognitive tasks from freight pricing and route optimisation to predictive demand forecasting, the final mile of execution still depends on human domain knowledge, situational judgment, and relationship management. This closing panel cuts through AI abstractions to establish the practical operating model for modern logistics:
- Designing human-in-the-loop workflows where algorithmic recommendations empower frontline dispatchers and logistics managers.
- Overcoming change management friction, cultural resistance, and skill gaps in logistics operations.
- Defining the core skill sets that future supply chain leaders in Vietnam must build to thrive alongside automated intelligence.
