Dec 29, 2022
Dawn Salvucci-Favier and Joe Lynch discuss creating faster, better freight quotes. Dawn's company, Greenscreens.ai develops dynamic pricing which enables transportation and logistics companies to deliver faster, better freight quotes.
Dawn Salvucci-Favier is Chief Product Officer & Co-CEO at Greenscreens.ai. She has spent the past 20 years leading Global Product Strategy & Management at major Transportation Management System (TMS) providers. In addition, Dawn was President & Chief Operation Officer at Shippers Commonwealth where she had full P&L management responsibilities for the $6 million, value-added service provider of logistics solutions. In each of these roles, Dawn was able to develop and execute a vision and strategy for delivering industry-leading technology solutions to the Logistics market. She also brings extensive 3PL & Shipper Logistics operations experience having spent time as Director of Logistics Services for NFI Interactive Logistics and starting her career in the inbound transportation management function at Staples, Inc and The TJX Companies.
Greenscreens.ai is a dynamic pricing infrastructure for the truckload spot rate market that delivers buy and sell-side market intelligence and business insights to help companies grow and protect their margins. The company combines the power of aggregated market data and historical data with advanced machine learning techniques to deliver short-term, predictive freight market pricing specific to a company's individual buying and selling behavior. Greenscreens.ai's mission is to be the industry-leading neutral platform for market data aggregation, market intelligence, and dynamic pricing. Greenscreen’s Provide customers with high confidence, predictive buy rate guidance, and differentiated pricing strategies that are powered by the industry's most up-to-date and contextually relevant dataset. Greenscreens.ai is fueled by transactional data from shippers, carriers, brokers, leading market data sources within the Greenscreens network and executed within the context of their existing technology ecosystem and workflow.
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