Trux is a heavy construction logistics software platform that connects trucking companies, contractors, brokers, and material producers to the nation's largest dump truck marketplace. Trux provides technology that streamlines the planning, scheduling, and dispatching of dump truck operations, enhancing communication between drivers and back-office teams and offering real-time data and analytics to improve project efficiency.
Their platform is designed to centralize and digitize key logistical processes, helping users control costs, maintain project timelines, and optimize resources. With features focused on faster dispatch, improved visibility, and data-driven decision-making, Trux enables construction businesses to keep projects on time and on budget.
How Was Trux Started?
Trux was founded by a leadership team with deep expertise in technology, operations, and the construction industry, including Donald Lee (President & COO), Jon Dorant (Chief Financial Officer), Kent Masden (Chief Technology Officer), Kathy Breslin (Chief People Officer), and Heath Umbach (Vice President of Marketing). Their backgrounds have informed the platform’s focus on usability for heavy construction logistics. For more about their story, visit Trux's About page.
Who Uses Trux?
Trux primarily serves businesses involved in heavy construction logistics, such as trucking companies, contractors, brokers, and material producers. Notable customers include:
- Pavecon
- Harness LLC
- Vulcan Material Company
- Dunn Construction
- Charbon
- T&K Asphalt Services, Inc.
- Case Snow Management
- U.S. Pavement Services
- 3531 Trucking
This range of clients highlights Trux’s focus on supporting companies that require reliable, scalable solutions for dump truck scheduling and dispatch.
What Makes Trux Different?
Trux differentiates itself by offering a centralized platform specifically tailored for heavy construction logistics and dump truck operations. Its integration of real-time data, digital driver communication, and workflow automation helps businesses gain control, increase transparency, and scale their operations more efficiently compared to traditional, manual processes.
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