Warehouse and transport management systems for supply chain optimization
proLogistik develops WMS and TMS software for warehouse, transportation, and logistics operations across Germany, the US, and Central Europe. The tech stack reveals a hybrid cloud strategy—deeply rooted in Oracle infrastructure (Cloud, Linux, Autonomous Database, Exadata) alongside AWS, Azure, and GCP—while actively migrating workloads to OCI. Engineering hiring has accelerated with a mid-to-senior mix focused on WMS implementation, ERP integration, and CI/CD deployment, signaling a shift toward platform consolidation and self-service tooling.
proLogistik Group operates across four business units—Warehouse, Transportation, Hardware, and Consulting—serving wholesale, retail, industrial, e-commerce, and 3PL customers. The company employs over 700 people across 19 sites in Germany, North America, and Austria. Its core product suite includes a WMS for warehouse digitalization, a TMS with route optimization and telematics, industrial hardware (stacker terminals, industrial PCs, dialogue systems), and a cloud-native pLG Portal that connects warehouse, transport, and business intelligence workflows. The organization is structured as a public company and has operated since 1983.
Oracle Cloud, Oracle Linux, PostgreSQL, Docker, Kubernetes, Java, Spring Boot, Terraform, and Ansible. Also uses AWS, Azure, GCP, and is actively adopting OCI for infrastructure migration.
WMS implementation and optimization, OCI migration, TMS/WMS-to-ERP integration, CI/CD pipeline deployment, and driver-based planning modules. Also building business intelligence and reporting consolidation into the pLG Portal.
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.