Μπορεί η ΤΝ να αντικαταστήσει έναν/μία Supply Chain Analyst στον κλάδο Logistics & Distribution;

The 'Supply Chain Analyst' in most logistics firms is actually just a highly paid data janitor. They spend 70% of their week cleaning CSV exports from outdated WMS systems and only 30% actually spotting trends. It's a waste of human intellect. In logistics, I see a massive 'Spreadsheet Rot'—where businesses are making million-pound decisions based on broken formulas and 3-day-old data. AI doesn't just do this faster; it does it in 4D. While a human looks at historical averages, AI is looking at port congestion in Felixstowe, diesel price spikes in the North Sea, and seasonal buying patterns in real-time. It finds 'Ghost Capacity'—the empty space in your trucks that you're currently paying for without realizing it. If you're still hiring entry-level analysts to copy-paste data, you aren't just inefficient; you're uncompetitive. The goal isn't to remove the analyst entirely, but to turn them into an 'Exceptions Manager.' Let the AI handle the 95% of 'normal' operations, and let your humans intervene only when the world breaks—which, in logistics, is about once a week.