Warehouse and transport management software plus industrial logistics hardware
proLogistik builds WMS and TMS software alongside its own industrial hardware for warehouse and transport operations. The stack pairs a Java/Spring Boot and JBoss application core on Oracle and PostgreSQL with Terraform, OpenTofu, Ansible and Jenkins, and job posts flag legacy code and infrastructure modernization next to Oracle Cloud development. That points to a mature on-prem product being moved toward cloud delivery. Hiring is engineering-heavy, senior-leaning and slowing.
proLogistik GmbH is a Dortmund-based logistics software and hardware company founded in 1983, with 501–1,000 employees. Its portfolio spans warehouse management, transport management with tour planning, telematics and route optimization, plus industrial hardware such as stacker terminals, industrial PCs and voice-driven picking systems. Customers include wholesalers, retailers, manufacturers, logistics service providers and e-commerce operators. The group operates across Germany, the USA, Canada, Mexico, Austria and Switzerland, and runs a cloud portal that connects goods management, warehousing, transport and business intelligence.
proLogistik runs Java, Spring Boot and JBoss on Oracle, PostgreSQL and SQL Server. It also uses Oracle Cloud/OCI, VMware, Proxmox and Hyper-V, plus Terraform, OpenTofu, Ansible, Jenkins and Docker, with Jira and Confluence.
Current work includes Oracle Cloud solution development, strategic warehouse management system development and deployment, CI/CD pipeline rollout, and API development for system integration.
proLogistik is headquartered in Dortmund, Nordrhein-Westfalen, Germany, and its current hiring is focused in Germany.
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proLogistik GmbH'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.