Definition #
ML models optimizing global logistics networks.
Key Characteristics #
- Risk scoring
- Carbon
- Supplier
- Demand
Why It Matters #
Reduces logistics costs by 18% (McKinsey).
Common Use Cases #
- Port congestion
- Cross-border
- Cold chain
Examples #
- FourKites
- Project44
- Llamasoft
FAQs #
Q: Data latency?
A: Real-time updates from 500+ data sources.
Q: Custom KPIs?
A: Build bespoke metrics with no-code interface.