But a successful AI implementation doesn’t start with technology alone – it starts with the right data and clearly defined use cases. AI can only reach its full potential when data quality, objectives, and integration are in sync.
Andreas Mohr, SAP Senior Development Consultant at retailsolutions, knows the reality of AI projects firsthand. He shares insights from real-world scenarios where AI automatically classifies product groups or intelligently assigns product attributes – always with a focus on real, measurable value for the business.
Our experts know: success hinges on solid planning – and on asking the right questions about cost versus benefit. Because sometimes, the smartest solution isn’t the most expensive, but the most thoughtful.
Discover how AI projects work in practice – and when they truly pay off.
