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We are committed to optimizing how cars are transported for our customers and our planet.

Full trucks = Less CO2

RunBuggy’s technology helps keep car haulers full to eliminate empty trucks

Ship a car and help drive sustainable transportation

Fully loaded coming and going

RunBuggy’s data science team is constantly developing algorithms and machine learning models that match and group transportation orders, helping shippers reduce cost and transporters maximize earnings. In parallel, these practices abate greenhouse gas emissions and degradation to the natural environment that would otherwise be worsened without the use of our tools.

Ship a car more sustainably

How We Keep Trucks Full

Machine Learning, advanced analytics, and data science are the tools we use to keep trucks full and minimize emissions.


GPS data of all trucks and paths can be used to understand driver behavior and influence matching algorithms.


GIS -based nationwide historical and real-time traffic traffic data allows us to determine trucking specific routes. We can compare the optimal routes to actual data to inform our grouping results

Location Optimization

Location optimization algorithms allow us to direct inventory to markets by combining cost to deliver, speed to deliver, and regional specific sales prices.

Matching Algorithms

Order-transporter matching algorithms allow us to efficiently source drivers by combining internal and external datasets of transporter behaviors and truck details.

Machine Learning

Order grouping machine learning models combine multiple orders with similar origin and destinations together to increase truck load, decrease delivery time and carbon footprint.


10,000,000+ lbs

Click here to see how