Freight brokers and shippers face challenges in accurately predicting freight rates due to fluctuating market conditions and a lack of real-time data, leading to reduced profit margins and operational inefficiencies. Traditional pricing methods often rely on historical data that doesn't reflect current market dynamics, resulting in inaccurate buy and sell prices.

Greenscreens.ai provides a dynamic pricing infrastructure for the logistics industry, leveraging AI and machine learning to optimize and enrich historical and real-time market data. The platform predicts buy rates and sell prices with increased accuracy, enabling logistics service providers (LSPs) to increase profit per transaction and volume per representative. By aggregating and anonymizing transactional load data, Greenscreens.ai delivers intelligent and accurate rate predictions, empowering users to make data-driven decisions and streamline operations. The system integrates with existing TMS and other freight technology systems to provide a seamless experience.

AI-powered predictive pricing for spot and contract rates for van, reefer, and flatbed truckload freight

Real-time market data analysis, considering over 130 features and data points in every rate prediction

Integration with over 25+ freight technology vendors, including TMS, quote automation, and capacity sourcing platforms

Dynamic pricing infrastructure that optimizes historical and real-time market data

Aggregated and anonymized transactional load data network

API connectivity for seamless data flow and integration with existing systems

Trend analysis reports providing insights into current and past market conditions

The primary target audience includes freight brokers, 3PLs, and shippers seeking to optimize pricing strategies, improve operational efficiency, and enhance profitability through data-driven insights.