Digital-first educational publishing with SAP-driven enterprise infrastructure
Cornelsen is a German educational media publisher (1,001–5,000 employees) investing heavily in digital formats and modern IT infrastructure to address its core challenge: personalizing learning content across school levels, regions, and media types. The tech stack is enterprise-heavy (SAP S/4HANA, Ariba, Power BI, Adobe Experience Manager) paired with automation tooling (n8n, Power Automate) and emerging AI services — a pattern that signals a shift from traditional publishing workflows toward automated, individualized content delivery and customer self-service.
Notable leadership hires: Editorial Director, Editor-in-Chief
Cornelsen publishes educational media (textbooks, digital content, learning platforms) for schools across Germany. The company has operated since 1946 and remains privately held. Current focus is on digital transformation: modernizing editorial processes, scaling self-service customer functions, and building AI-supported tools (including alternative text generation). Projects span knowledge base implementation, customer account experience, and property management digitalization. Leadership includes Editorial Director and Editor-in-Chief roles, reflecting the blend of publishing domain expertise and digital product organization.
Core systems: SAP S/4HANA, SAP SD/MM, Ariba for procurement. Analytics: Power BI. Automation: n8n, Power Automate. Content tooling: Adobe Experience Manager Forms, Eclipse. Process orchestration: BPMN, SAP PI. Development languages: Java, Python, ABAP.
Digital transformation initiatives including digitalization automation, knowledge base implementation, AI services, self-service registration functions, and AI-supported alternative text creation for educational content. Also developing customer account experience improvements and novomind iagent integration.
Cornelsen Verlag 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.