IT services and logistics technology for freight and transportation
ArcBest Technologies is the internal IT backbone of ArcBest Corporation, a publicly traded logistics and freight operator. The tech stack reflects a mixed environment: Office automation (VBA, Excel, Power BI) for operations, plus robotics tooling (ROS, Gazebo, OpenCV) and simulation frameworks (SolidWorks, digital twins) signaling an emerging autonomous and automation focus. Active projects cluster around driver programs, yield optimization, and autonomous mobile robots (AMRs)—indicating the parent company is transitioning from pure freight operations toward technology-enabled logistics. Hiring is overwhelmingly operations and logistics roles (210 of 267 roles), with minimal engineering (6), suggesting the technology work runs lean and mission-critical.
ArcBest Technologies operates as the technology subsidiary of ArcBest Corporation, a public freight and logistics company founded in 1962 and headquartered in Fort Smith, Arkansas. The organization provides IT infrastructure, software development, and business systems to ABF Freight and other ArcBest divisions, plus external customers including Riverside Furniture and the City of Fort Smith. The tech team spans systems analysis, application development, and enterprise infrastructure across internet, client/server, and server-based platforms. Current operational priorities include supply chain optimization, hazardous material handling compliance, driver training and development, and early-stage research into autonomous systems and digital simulation for freight logistics.
Primary stack includes Microsoft Office suite (VBA, Excel, Power BI), SQL databases, Python, C++, and specialized robotics tools (ROS, Gazebo, OpenCV). Also deployed: ServiceNow, Samsara fleet management, SolidWorks for modeling, and Linux infrastructure.
Projects center on yield optimization, driver development and training programs, autonomous mobile robots (AMRs), digital twin simulation, scalable systems architecture, and safety-critical traceability—reflecting a transition toward logistics automation and autonomous freight handling.
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