Whitepaper · Mechanical engineering
Excel data that calculates with AI instead of guessing.
Expert guide for purchasing, sales, material planning and controlling in machinery and plant engineering: the four pain clusters, why Excel, Microsoft Copilot and ChatGPT fail on large spreadsheets — and the four-step path from file to verified analysis. Sign up — you'll receive the whitepaper directly by email.
Executive summary
German machinery and plant engineering is under efficiency pressure in 2026: 83 percent cite cost pressure as the biggest obstacle to growth, and 22,000 jobs were cut in 2025. AI has long arrived — around 40 percent of the industry uses it — but only 7 percent have scaled generative AI company-wide. The reason is rarely the technology, it's the data foundation: knowledge sits in Excel islands, SAP exports, quote folders and BOMs — fragmented and impossible to analyse across files.
The guide describes the pain points that weigh most on purchasing, sales, material planning and controlling — and a concrete, data-sovereign solution path: automatically turning existing Excel files into a verified data model, confirmed human-in-the-loop. Calculated instead of guessed, with sources.