, a dynamic pricing infrastructure for the truckload spot market that delivers buy and sell-side market intelligence and business insights, recently announced a partnership with Hubtek, a talent, technology, and training company that enables LSP (logistics services providers) growth by containing operating costs.

Scott Hadley, Hubtek VP of Business Strategy, said, “Greenscreens has developed an unprecedented approach to dynamic pricing that this industry has been void of up until now. The ability to identify market needs, along with the acumen to innovate, to develop effective tools in such a volatile industry is what we look for in partners, Greenscreens fits this mold perfectly. Pairing this unique AI-driven predictive rate engine with our TABi Connect Automated Rate Quoting will bring a tremendous competitive advantage to our customers.”

Hubtek’s automated rate quoting platform, TABi Connect, has been integrated with’s AI-driven predictive pricing technology, according to, to deliver a full solution focusing on accuracy, speed, and control. Hubtek became the only Intelligent Automation Hub for North American-based logistics services companies when TABi Connect was released in late 2020. TABi connect also automates the activities involved in a load’s lifespan, according to TABi.

With LSPs needing to find ways to protect margins and expand through technology, this partnership, according to, provides an innovative solution for customers to leverage. Each company has established a huge and increasing client base, generating the competence and conceptual understanding essential to successfully continue providing outcomes to the market. CEO, Dawn Salvucci-Favier, said, “At, we are focused on meeting our customers where they are in their digital transformation,” she said. “We are thrilled to partner with Hubtek to connect’s sophisticated, real-time predictive pricing to the shipper through TABi Connect’s intelligent process automation capabilities.”

“We will be looking to expand our team in the areas of sales & marketing, customer success & development,” she said.

From a development standpoint, Salvucci-Favier suggested plans to concentrate on:

  • AI and Machine Learning – Improved mixed models feature set, deep learning, and neural networks through accelerated R&D.
  • Product Enhancements – Integrating weather and traffic data for decision support and AI/ML, as well as developing market prediction trends and RFP forecast models; and Integrations—Expanding its technology ecosystem with both TMS partners and technology vendors focusing on automating customer quotes, carrier bids, capacity procurement, and foresight.