AI Consulting: First structure, then AI
When AI projects fail in logistics, it is rarely due to the technology itself. Models work, algorithms deliver plausible results, pilot applications demonstrate potential. And yet the expected benefits fail to materialize. In practice, one pattern appears again and again: the problem is not a lack of computing power or insufficient models, but unclear foundations.