Learn how to assess and prioritize AI use cases in SAP Lead-to-Cash and build a sound business case with the AI Lead-to-Cash Audit.

The Tech Reality Check 2026 study shows how European companies use AI, where leadership is missing and why transformation is not happening yet.

Cypress, Playwright or Selenium? Discover which factors really matter when choosing the right test automation framework.

AI agents are changing more than how software is used. Explore the impact on licensing, UX, contracts and IT costs – and what enterprises should prepare for now.

Learn how to build a strong foundation for scalable AI and agentic AI applications – from data and processes to integration, governance, and security.

What does it take to turn AI into real business value? Explore the key takeaways from Conclusion Connect on AI, data, processes and customer experience.

Find out how a Digital Product Passport Audit assesses your product data, processes and systems and identifies the next steps toward DPP readiness.

What is Agentic AI and how can businesses use AI agents? Explore use cases, requirements, security and the Agentic AI Audit.

Why do so many AI pilots fail? Jasmin Guthmann explores why Agentic AI requires more than tools — and what businesses need to do next.

Which CDP is right for your business? Discover 10 key criteria for choosing a Customer Data Platform, from use cases and data quality to TCO and governance.

Stricter anti-greenwashing rules will apply from September 2026. Learn what marketing and e-commerce teams need to consider for claims, content, and AI.

How do you choose the right commerce platform? Discover 8 key criteria for selecting a scalable, future-ready e-commerce platform.

How ifm is transforming product search with an AI application assistant. Learn how data, LLMs and domain expertise create reliable AI-powered product advice.

How standardization, AI and productized services are transforming digital projects and creating more space for innovation and competitive advantage.

How to choose the right CMS: Key criteria, common pitfalls and practical tips for evaluating platforms that fit your business and digital landscape.

Learn how to choose the right CRM step by step—from defining your requirements to successful implementation.

Why do so many AI pilots fail? Jasmin Guthmann explores why Agentic AI requires more than tools — and what businesses need to do next.

Whether you're selling through an online shop, marketplace, print catalog, or sales app, product information must be accurate, consistent, and available across all channels. For many businesses, this has become a major challenge: product data is spread across multiple systems, processes have evolved over time, and every update requires manual effort. As businesses expand into new sales channels, add more languages, or grow their product portfolios, complexity increases significantly. In addition, today's customers expect complete and reliable product information, regardless of where they interact with your brand. Inaccurate data, inconsistent descriptions, or missing information directly impact the customer experience, conversion rates, and ultimately business success. A Product Information Management (PIM) system provides the foundation to address these challenges. It centralizes product information, standardizes processes, and ensures that every channel accesses the same reliable data source. However, this is where the real challenge begins for many organizations: Which PIM system best fits your business requirements? Choosing a PIM system should not be based solely on features or vendor rankings. The deciding factor is how well the solution aligns with your business processes, existing technology landscape, and long-term strategic goals. Implementing a PIM is not simply a software decision—it is a strategic investment in future-proof commerce and product experience management.

Discover the five strategic questions every CIO should ask before selecting a platform. Make better technology decisions and avoid costly long-term mistakes.

The AI Product Advisor transforms standard product search into an intelligent shopping experience that understands the target audience’s actual search intent and provides relevant product recommendations directly within the store.

This post covers the mechanism that closes the gap: a structured Tech Evaluation Lab Day designed to test fit rather than features before a contract is signed.