AI news ·
PITT OHIO and Vaital Launch N@TE AI to Streamline Freight Email Order Processing and Slash Costs
Vaital’s AI system N@TE automates email order processing for PITT OHIO, cutting handling time by up to 60x and reducing costs by 70%. It integrates seamlessly with existing workflows for faster, accurate freight operations.
PITT OHIO and Vaital Transform Freight Operations with AI
Vaital has introduced N@TE: No-Touch Email, a new AI-powered system that automates email-based order management for freight carriers. Built specifically for truckload (TL) and less-than-truckload (LTL) operations, N@TE processes order emails in seconds, dramatically reducing manual work and improving accuracy.
Customer service teams often spend hours handling inbound Bills of Lading (BOL) to create pickup orders. With thousands of emails arriving daily, this task adds up to a significant workload. N@TE eliminates this bottleneck, integrating seamlessly with existing transportation management systems (TMS) and workflows to speed up order processing and boost customer satisfaction through near-instant responses.
Significant Efficiency Gains with PITT OHIO
PITT OHIO, a major U.S. carrier with a fleet of 1,000 trucks, partnered with Vaital to deploy N@TE. The results speak for themselves:
- 30 to 60 times faster email order processing
- Over 99% accuracy in extracting and fulfilling orders
- 70% reduction in costs related to pickup order handling
Powered by Microsoft Azure, N@TE benefits from enterprise-grade cloud infrastructure, ensuring scalability, security, and high-performance AI processing. This enables carriers to automate at scale without disrupting current operations.
Seamless Integration for Freight Operations
N@TE maintains familiar processes for customers by working directly with email and existing TMS setups. Key features include:
- No workflow changes: Orders continue to arrive via email as usual
- Interoperability: Compatible with current transportation management systems
- Enterprise scalability: Built to handle high-volume carrier operations
Scott Sullivan, EVP and CIO at PITT OHIO, highlighted the impact: “Implementing N@TE has transformed how we handle customer orders. It has cut processing time, improved accuracy, and allowed us to respond almost instantly. By integrating with our existing workflows and running on Microsoft Azure, the system frees our team to focus on strategic priorities rather than manual data entry.”
David Yunger, CEO of Vaital, added, “N@TE offers more than automation—it gives logistics leaders an edge. Our collaboration with PITT OHIO shows how AI can accelerate growth, reduce costs, and improve customer satisfaction. PITT OHIO’s early adoption sets a strong example for the LTL industry.”
What This Means for Operations Professionals
For operations teams, N@TE represents a shift toward more efficient, accurate, and cost-effective order management. Automating the intake of orders via email reduces errors and frees up valuable time for higher-level tasks.
By supporting existing workflows, N@TE minimizes disruption and speeds adoption. For companies managing large volumes of freight orders daily, this technology can unlock meaningful productivity gains and improve service levels.
To explore how N@TE can fit into your freight operations, visit vaital.com/NATE or contact pr@vaital.com.
About Vaital
Vaital is an AI strategy and engineering firm that helps businesses take control of their AI initiatives. They deliver AI solutions that increase competitive advantage, profitability, and operational speed. Learn more at vaital.com.
About PITT OHIO
With over 45 years of experience, PITT OHIO offers transportation and logistics solutions across the Mid-Atlantic, Midwest, and Northeast. Their services include LTL freight, expedite, freeze protection, truckload, warehouse and distribution, container transloading, and dedicated fleet management. Last year, the company generated over $900 million in revenue and employs more than 3,400 people committed to safe, sustainable motor transport.
Find out more at pittohio.com.