Post by Frank Arnold
Vice President Intelligent Supply Chain at Capgemini Invent
I did it too. I vibe coded a planning app. A few hours of work. BOMs, MRP, RCCP, data uploads… with surprisingly little challenge from the AI. Genuinely impressive-looking results. That experience raised questions I could not stop thinking about: ❓Can AI build planning software on its own? ❓Will it replace enterprise-grade Supply Chain Planning software? Then I wanted to demo the app to a client, because it could genuinely support the current project and help them sharpen their understanding of what they really need from a future planning application. So I stress-tested it: The screens looked convincing. The outputs appeared structured. But the underlying planning logic did not follow the procedure I would have expected — and the planning results were wrong. So my answer to both questions is: not reliably on its own, and not anytime soon! At least not without deep domain expertise. AI cannot infer decades of knowing what a plausible planning result looks like — and what does not. In my article, I share what experimenting with Vibe Coding in Supply Chain Planning has taught me — including one thought I keep coming back to: One of the biggest opportunities is not replacing enterprise software. It is using AI to test assumptions, expose data gaps and increase planning maturity before major transformation decisions are made. In some cases, it can even become a temporary productive planning capability - what I call the “MVP before the MVP”: helping bridge the gap while the organization improves maturity, sharpens requirements and prepares for the future enterprise solution. The value is not only faster prototyping. It changes the economics of transformation. 👉 Requirements become evidence-based. 👉 Blueprints become more robust. 👉 Technology decisions become less risky. 👉 Quick wins no longer have to wait until the final solution goes live. Curious whether others are reaching the same conclusion — or a very different one. #VibeCodingforSupplyChains #SupplyChainTransformation #IntelligentSupplyChain Jan Lammers Melanie Erizgi Dennis Kallina Johann Riedlberger Christoph Strohschein Paco Ribagnac Shaun R Cheyne James Tilley Edward Robbins Nitin Salvio Dsouza John Bakker