MHK Group operates a full-service association for owner-managed kitchen, furniture, and sanitary retailers across seven European countries. The tech stack reveals a hybrid modernization effort: enterprise systems (SAP, Odoo, ServiceNow) sit alongside contemporary web and visualization tools (Angular, TypeScript, 3ds Max, Blender), reflecting both legacy ERP operations and active digital transformation. Hiring velocity is accelerating with finance roles dominating the intake, signaling either back-office consolidation or preparation for scale—while engineering focus remains modest, suggesting system integration and customization rather than new product development.
MHK Group is a purchasing cooperative and service provider for independent kitchen and home-furnishing retailers in Germany, Belgium, the Netherlands, Austria, Switzerland, Spain, and Great Britain. The cooperative represents over 3,000 trading partners with combined annual turnover exceeding 6 billion euros. Beyond procurement negotiation, MHK operates a vertically integrated suite: proprietary kitchen brands (REDDY, elementa, neola, Designo), digital tools (online kitchen planner, VR-enabled design software, customization app), back-office services (business management systems, financing, succession planning), and training. Founded in 1980 and publicly listed, the group operates as both purchasing agent and operational support platform for mid-market specialty retailers.
MHK runs on SAP and Odoo for core business systems, Azure cloud infrastructure, C#/ASP.NET for backend services, Angular/TypeScript for web, and 3D tools (Maya, Blender, 3ds Max) for kitchen design visualization. Jira, Azure DevOps, and Confluence manage development workflow.
MHK Group is headquartered in Dreieich, Hessen, Germany. All active hiring is currently in Germany, though the cooperative operates across Germany, Belgium, the Netherlands, Austria, Switzerland, Spain, and Great Britain.
MHK Group AG'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.