Averitt Podcast Details TMS and Dynamic Pricing Tools
In a March 23, 2026 podcast episode published on its Point to Point blog, Averitt's Director of Integrated Services Sales discussed how the carrier's Averitt Connect TMS platform and ExactRate dynamic pricing tool are commonly set up together, with Connect pulling LTL rates from ExactRate for quoting, visibility and invoicing. Separately, a January 2025 World Economic Forum essay and a November 2024 Computers in Industry literature review addressed AI in supply chains and supply chain management research more broadly, without directly addressing freight rate-setting.
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Key takeaways
Averitt described its Averitt Connect TMS and ExactRate dynamic pricing tool in a March 23, 2026 podcast episode.
A January 2025 WEF essay discussed AI's role in supply chain resilience but did not address freight pricing.
A November 2024 Computers in Industry review found AI-in-SCM research is subject to hype and implementation challenges.
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Averitt published a podcast episode on its Point to Point blog on March 23, 2026, in which the trucking company's Director of Integrated Services Sales discussed two of its freight technology products: Averitt Connect, a multi-carrier transportation management system, and ExactRate, a dynamic pricing tool for less-than-truckload shipments, according to Averitt.
What Averitt described about its own tools
According to the podcast, ExactRate calculates LTL rates using current capacity and market conditions rather than fixed rate tables, similar to pricing models used in airline or hotel booking. Averitt said the two products are commonly set up together for new shippers, with Averitt Connect handling quoting, shipment visibility and invoicing through APIs that pull rates from ExactRate. Averitt stated that within 24 hours of signup, a shipper can typically begin quoting and shipping on the platform.
Averitt also referenced recent changes to National Motor Freight Traffic Association freight classification rules, saying those changes move toward a more density-based pricing model that is compatible with its dynamic pricing approach, according to the podcast.
Separate research on AI in supply chains
A January 2025 essay published by the World Economic Forum, written by Avathon CEO Pervinder Johar, argued that artificial intelligence and related technologies can help supply chains respond to disruptions such as port strikes, geopolitical conflict and weather events by improving real-time information sharing and automation, according to the World Economic Forum. The essay did not address freight pricing and did not claim AI can predict such disruptions in advance.
Separately, a November 2024 systematic literature review published in Computers in Industry examined empirical academic research on AI in supply chain management, organizing findings around data and system requirements, technology deployment, organizational integration and performance outcomes, according to ScienceDirect/Elsevier. The review's authors noted that AI in supply chain management is subject to hype and said implementation details significantly affect outcomes.
None of these three sources describe a shared industry trend; the Averitt podcast addresses its own products, the WEF essay addresses broader supply chain resilience, and the academic review addresses the state of AI-in-SCM research generally.
Sources
- Smarter Rates, Less Friction: The Evolution of Freight Technology ↗ · Averitt
- Logistics & Supply Chain News and Insights | Artificial Intelligence ↗ · Averitt
- AI will protect global supply chains from the next major shock ↗ · World Economic Forum
- Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions ↗ · ScienceDirect (Elsevier)
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