Powersports parts distributor serving 20,000+ dealerships globally
LeMans Corporation operates a multi-brand distribution network (Parts Unlimited, Parts Canada, Parts Europe, Drag Specialties) supplying aftermarket powersports products to over 20,000 dealerships worldwide. The tech stack spans Power BI, Dynamics 365, SAP, and Oracle — typical for large-scale inventory and dealer-network operations — but the project list reveals active investment in forecasting, inventory planning, and automation/AI analytics, paired with urgent work on data accuracy and obsolescence management. Hiring is accelerating across operations and product roles, suggesting the company is actively modernizing its supply-chain visibility and dealer-facing tools.
LeMans Corporation is the world's largest distributor of aftermarket powersports parts and accessories, operating a portfolio of regional brands that collectively reach over 20,000 dealerships across North America and Europe. The business spans motorcycles, ATVs, and related gear, with fulfillment through mail order and dealer networks. The company maintains warehouse operations, supplier relationships, and inventory spanning thousands of SKUs across multiple segments. Current operational focus includes improving data accuracy, reducing waste costs, and enhancing the dealer experience through better forecasting, supplier scorecards, and real-time inventory visibility.
Power BI, Dynamics 365, SAP, Oracle, AWS, Azure, Docker, Jenkins, Elasticsearch, and Grafana. Mix supports ERP, BI, cloud infrastructure, and DevOps workflows across a large distribution network.
Janesville, Wisconsin. The company operates 1,001–5,000 employees and serves dealerships across North America and Europe.
LeMans Corporation'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.