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DashLogistics

Multi-market logistics intelligence platform with ML cost prediction (R-squared = 0.987).

Full Case Study

Overview

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.

Key Results

  • 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

Stack

Python - Pandas - Streamlit - Plotly - PostgreSQL - Docker

Limitations

  • 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

About

End-to-end ETL pipeline for logistics data, including advanced KPI calculations, analysis, and visualization for actionable insights.

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