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Greenscreens.ai is designed for freight brokers and third-party logistics providers that need to price truckload freight and manage margins. It uses machine learning to combine a brokerage’s historical buying and selling data with aggregated market information to predict target buy and sell rates for a lane. Users can compare brokerage-specific predictions with network rates and review confidence levels, rate history and market context when deciding what to quote or pay carriers. The app also supports customer quote and carrier bid workflows, with tools to create and track quotes, request bids, and view carriers from a brokerage’s network that have recently moved similar loads. Brokers can set pricing rules for customers, lanes, equipment types and other conditions, applying automatic markups or discounts. A Negotiation Coach summarizes factors that may affect a load’s price, while integrations with transportation management and other freight systems can fit pricing into existing workflows. It may suit teams looking to make data-informed spot pricing decisions and streamline quoting and carrier sourcing.
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