Logistics software for transport planning, fleet management, and freight operations
Soloplan builds CarLo, a logistics platform handling order entry, route planning, fleet management, and freight calculation for mid-market transport operators. The tech stack is rooted in .NET, C#, and SQL Server—mature enterprise foundations—with active investment in cloud migration (Azure, Azure SQL Database, Cosmos DB) and modern UI frameworks (Blazor, ASP.NET Core). The hiring mix is engineering-heavy (19 of 37 open roles), split between desktop, web, and mobile surface areas, suggesting CarLo is moving beyond legacy Windows Forms toward multi-platform delivery.
Soloplan GmbH is a German logistics software company founded in 1991, headquartered in Kempten, Bavaria, with ~260 employees across offices in Germany, Poland, France, South Africa, and Spain. The company develops and distributes CarLo, a logistics suite serving over 1,800 customers in 50+ countries. CarLo covers the full transport workflow: order entry, automatic route planning, freight calculation, fleet management, and business intelligence. Revenue is direct sales of the platform, along with training (Soloplan Academy) and on-site support. Active pain points include integrating CarLo into fragmented customer IT environments, tailoring workflows for specific operator types, and expanding into air and sea freight segments.
CarLo runs on .NET, C#, Java, and SQL Server. The platform is migrating to cloud with Azure, Azure SQL Database, and Cosmos DB, and modernizing UIs with Blazor and ASP.NET Core. Desktop interfaces use Windows Forms and WinForms with DevExpress controls.
Soloplan is actively hiring in Germany and South Africa. Current open roles total 37, with engineering (19), sales (7), and support (5) leading. Hiring velocity is accelerating.
Soloplan has offices in Germany (headquarters in Kempten), Poland, France, South Africa, and Spain. CarLo is sold to customers in over 50 countries worldwide.
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Soloplan 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 →
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