Multi-market logistics intelligence platform with ML cost prediction (R-squared = 0.987).
DashLogistics analyzes multi-market logistics operations across the US, combining public freight data with a cost prediction model. Interactive dashboards track 15+ KPIs across 50 US states and 30+ market segments.
- R-squared = 0.987 cost prediction accuracy
- 15+ KPIs tracked across markets
- 50 US states coverage
- Multi-page dashboard with time-series, geospatial, and market analysis
Python - Pandas - Streamlit - Plotly - PostgreSQL - Docker
- Built on public freight data (Transearch/STB), not proprietary carrier data
- Does not incorporate real-time fuel prices or weather disruptions
- Cost model relies on historical rates, not live spot pricing
Detailed architecture, data pipeline, and trade-off analysis at juandelaf1.github.io/projects/dash-logistics