Warehouse automation software and material handling controls for North American logistics
Trew builds warehouse execution and control systems (WES/WCS) alongside physical conveyor automation for 3PLs, manufacturers, and e-commerce operators. The tech stack reveals a hybrid systems integrator: heavy CAD/engineering tooling (AutoCAD, Navisworks, STAAD.Pro, Allen-Bradley, Siemens PLCs) paired with enterprise backends (NetSuite, Oracle EBS) and cloud infrastructure (Azure). Hiring is engineering and ops-heavy, with active projects spanning next-gen development tools, installation, and pre-sales automation—suggesting both product iteration and internal workflow scaling.
Notable leadership hires: Director of Sales, Materials Lead, Director of Tax
Trew delivers material handling automation across warehouse execution systems, machine controls, and conveyor equipment. They serve North American retail, distribution, manufacturing, and e-commerce companies through direct sales and a network of integrator partners. The company provides both software (WES/WCS platforms) and hardware (motorized driven roller conveyors), plus field services including engineering, commissioning, technical support, and training. With 201–500 employees based in West Chester, Ohio, they operate as a systems integrator managing full lifecycle solutions from design through installation and maintenance.
Trew uses Allen-Bradley and Siemens PLCs, SCADA systems, and Ethernet/IP for equipment controls. On the software side, they run NetSuite and Oracle EBS for enterprise operations, Azure for cloud infrastructure, and AutoCAD/Navisworks for design and engineering.
Active projects include next-generation material handling development tools, conveyor support product line design, material handling equipment installation and commissioning, and automation of pre-sales workflows. They are also scaling sales strategy and operations across North America.
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Trew's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.