Multi-Agent Analytics Pipeline · Freight Intelligence

U.S. Freight Market Dashboard

Automated analysis of freight volumes, diesel costs, and corridor performance across five transport modes and ten major lanes — generated by a four-agent pipeline built on Python, Claude, and GCP.

Scout Agent
2
datasets ingested
Analyst Agent
5
stories extracted
Designer Agent
5
visualizations built
Confidence
100%
analysis confidence

Truck Dominance Holds, but Rail Is Closing the Gap

Trucking accounts for the largest share of U.S. freight volume, but intermodal rail has shown consistent year-over-year ...

Area

Diesel Spikes Drove a 35% Freight Rate Surge in 2022

National diesel prices spiked sharply in 2022, dragging freight rates upward with a 1-2 month lag. The correlation betwe...

Dual Axis Line

LA-Chicago: America's Freight Superhighway

The LA-Chicago corridor moves more freight than any other lane in the dataset, but its on-time performance lags shorter ...

Scatter

Q3 Freight Surge: The Pre-Holiday Supply Chain Ramp

Freight volumes spike 12-15% above baseline in Q3 each year as retailers pre-position inventory for holiday season. This...

Heatmap

Pipelines Deliver 96% On-Time; Ocean Vessels Lag at 78%

Modal reliability varies dramatically. Pipeline and air freight lead in on-time performance, while vessel shipping is th...

Bar

Data Sources

U.S. Freight Volumes by Mode & Corridor
2,400 rows Quality: 91%
freightlogisticstransportationtime-series
National Average Diesel Prices
48 rows Quality: 70%
energyfuelcoststime-series

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