Industrial cabling manufacturer with SAP-centric supply chain and engineering integration
GG Group manufactures data and energy cables for automotive and industrial sectors across 13 global sites with 4,000+ employees. The tech stack is dominated by SAP modules (ECC, S/4HANA, SCM, MM, WM, QM, PM) paired with Kinaxis and Anaplan for supply planning, revealing a mature but SAP-locked enterprise operating model. Active hiring in engineering and finance alongside a CRM implementation signals a push to modernize sales and demand-planning workflows — a direct response to forecast deviations and data accuracy issues that have plagued their planning layer.
GG Group is a privately held Viennese industrial company with over 80 years of experience manufacturing cables, wires, and harnesses for automotive OEMs and industrial customers. The company operates 13 facilities worldwide and employs more than 4,000 people. Core capabilities span product engineering, supply chain management across manufacturing and distribution, and technical customer consulting. The business is structured around SAP's enterprise backbone — ECC/S/4HANA for transactional systems, supplemented by specialized tools for demand planning (Kinaxis, Anaplan), product data management (Teamcenter, Windchill), and technical documentation (SolidWorks PDM). Current transformation initiatives focus on integrating fragmented engineering systems (PDM/PLM/CAD) with SAP, standardizing forecasting processes, and automating sales operations.
SAP is the core backbone — SAP ECC and SAP S/4HANA for financials and operations, supplemented by SAP MM (materials), WM (warehouse), SD (sales), SCM (supply chain), QM (quality), PM (maintenance), and SAP HANA as the analytics layer.
Kinaxis and Anaplan are the primary demand and supply planning platforms, integrated with SAP IBP (Integrated Business Planning) and Power BI for KPI reporting and visibility.
Gebauer & Griller'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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