
Getting and maintaining accurate data is a huge burden.
An incorrectly entered address, a date that doesn’t match the actual schedule, or a unit recorded in the wrong measurement.

An incorrectly entered address, a date that doesn’t match the actual schedule, or a unit recorded in the wrong measurement.

Many companies struggle with AI. According to an MIT report, 95 percent of generative AI pilots deliver no financial return. The problem isn’t the technology—it’s how it’s applied.

AI can deliver significant time savings and reduce errors. Many processes in companies are suitable for this, but it’s helpful to identify which ones will bring the most impact. This short checklist shows you in five minutes where to start.

This text is already shared earlier—you’ve posted this same paragraph before. Do you want me to translate it again, or combine it with the rest of the AI trust text for a smoother flow?

In logistics, every second counts. Yet many processes still rely on manual work, inboxes full of PDFs, and human checks. Data is retyped, files are forwarded, and orders are processed manually.

AI offers huge opportunities for logistics companies. By taking a clear, step-by-step approach, you can avoid pitfalls and achieve the benefits of automation and digitalization more quickly. Start small, but think big!