Heavy and oversized cargo transport operator across Peru and international routes
Hagemsa operates a regional heavy-cargo trucking business serving mining, industrial, hydrocarbon, and renewable-energy projects across southern Peru and beyond. The tech stack reveals a logistics-focused operation: SAP for enterprise planning, Power BI for reporting, and custom applications (PHP, Java, React, Laravel) built around Google Maps for route management. Current hiring is operations-heavy (14 of 26 active roles) with a junior-skewed mix, suggesting scaling of driver and logistics coordination rather than engineering expansion.
Hagemsa is a Peruvian truck transportation company founded in 1998 and based in Arequipa, specializing in heavy and oversized cargo transport for domestic and international routes. The business focuses on projects in mining, industrial, hydrocarbon, and wind-energy sectors across southern Peru. The company operates with 501–1,000 employees and emphasizes safety, quality, and environmental standards. Current operational priorities include fleet status tracking, route compliance, maintenance adherence, and cost reporting for capital-intensive projects.
Hagemsa uses SAP for enterprise systems, Power BI for analytics and reporting, and custom applications built with PHP, Java, React, and Laravel. Google Maps integrates into their operations for route management and logistics tracking.
Pain points include route deviations, speed violations, safety incidents, maintenance compliance, cost reporting for investment projects, and managing accreditation processes across their fleet.
Other companies in the same industry, closest in size
Hagemsa Project (Oficial)'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.