Automotive aftermarket parts manufacturer scaling automation and data infrastructure
Dorman manufactures and distributes replacement and upgrade parts across automotive, heavy-duty, and specialty vehicle segments—over 144K SKUs sold globally. The tech stack reveals a manufacturing-driven organization: SAP S/4HANA and Oracle EPM for supply-chain operations, SolidWorks and Mastercam for product design, combined with Cisco networking and emerging cloud infrastructure (Azure, AWS, Databricks, Microsoft Fabric). Hiring velocity is accelerating across engineering and ops, with active projects centered on packaging automation, scheduling optimization, and AI/data platform infrastructure—indicating heavy investment in operational efficiency and data-driven decision-making to support growth.
Dorman Products is a publicly traded automotive aftermarket supplier founded in 1918, headquartered in Colmar, Pennsylvania. The company operates over 140,000 replacement and re-engineered parts across a global footprint spanning 29 locations, with a workforce of approximately 3,800 employees. The product portfolio includes direct-replacement parts, failure-mode redesigns, and specialty vehicle solutions sold through automotive and heavy-duty channels. Revenue reached $2.13 billion in 2025. Operations span manufacturing, supply-chain distribution, product engineering, and sales, with subsidiary brands SuperATV and Dayton Parts.
Dorman operates on SAP S/4HANA and Oracle EPM for enterprise planning; SolidWorks and Mastercam for product design; Cisco and SD-WAN for networking; and emerging cloud platforms including Azure, AWS, Databricks, and Microsoft Fabric for data infrastructure.
Dorman Products is headquartered in Colmar, Pennsylvania, and operates across 29 global locations with approximately 3,800 employees.
Dorman Products'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.