ITP, InTech Partner

Most manufacturing AI projects don’t fail at the end.
They fail at the beginning, when the real bottleneck is not clearly defined.

In many plants, the problem is that engineers spend hours on repetitive planning.

- Quotation cycles moving too slowly.
- Dispatchers building routes by hand.
- Too many decisions depending on a few overloaded people.

That is where time, margin, and capacity are usually lost.

On May 12, we will walk through two real examples where AI was applied to exactly those problems - one in engineering, one in logistics.

Reserve your place now:
d353d2ac-a077-443c-aeb7-1f7218a61ef2@3972ba24-2384-4003-95e3-608bb6a2f443" rel="ugc" target="_blank">https://events.teams.microsoft.com/event/d353d2ac-a077-443c-aeb7-1f7218a61ef2@3972ba24-2384-4003-95e3-608bb6a2f443


SAP is powerful — but managing it isn’t always simple.

As systems grow and companies move toward SAP S/4HANA, many teams reach a point where internal resources just aren’t enough. That’s where the right outsourcing approach can make a real difference.

In this guide, we share a clear, practical view of what actually works — from choosing the right partner to avoiding common mistakes in SAP projects.

No theory. Just real considerations you can apply.

If SAP is becoming harder to manage — this is worth a read.

🌐 https://lnkd.in/dzPz2kv9
📩 [email protected]