Resumen del episodio
Most production companies have already done the hard work upstream. The demand forecast is in place, inventories are optimised, and the MRP is running on better input. Then the production order proposals land on the planner's desk and the whole thing drops into Excel. But why Excel? Software could automate and optimise the job has existed for years. The short answer is that advanced planning software is built to be configured for any factory in the world, so configuring it for yours becomes a very expensive project. That’s why Excel wins by default. But that raises a question many is asking right now. Why not just vibe code an IBP system ourselves? Ask Claude or ChatGPT for an optimisation algorithm, describe your machines, orders and constraints, and let it run. In this episode, we discuss this question, and what traps you need to watch out for if vibe coding is your plan. By the end of the conversation you will know what that building block needs from the platform around it, where the planner and the…
Most production companies have already done the hard work upstream. The demand forecast is in place, inventories are optimised, and the MRP is running on better input. Then the production order proposals land on the planner's desk and the whole thing drops into Excel. But why Excel? Software could automate and optimise the job has existed for years. The short answer is that advanced planning software is built to be configured for any factory in the world, so configuring it for yours becomes a very expensive project. That’s why Excel wins by default. But that raises a question many is asking right now. Why not just vibe code an IBP system ourselves? Ask Claude or ChatGPT for an optimisation algorithm, describe your machines, orders and constraints, and let it run. In this episode, we discuss this question, and what traps you need to watch out for if vibe coding is your plan. By the end of the conversation you will know what that building block needs from the platform around it, where the planner and the…
Episodios
Vibe Code Your Own IBP Solution? Here are the Traps | Ep. 28
EscuchadoMost production companies have already done the hard work upstream. The demand forecast is in place, inventories are optimised, and the MRP is running on better input. Then the production order proposals land on the planner's desk and the whole thing drops into Excel. But why Excel? Software could automate and optimise the job has existed for years. The short answer is that advanced planning software is built to be configured for any factory in the world, so configuring it for yours becomes a very expensive project. That’s why Excel wins by default. But that raises a question many is asking right now. Why not just vibe code an IBP system ourselves? Ask Claude or ChatGPT for an optimisation algorithm, describe your machines, orders and constraints, and let it run. In this episode, we discuss this question, and what traps you need to watch out for if vibe coding is your plan. By the end of the conversation you will know what that building block needs from the platform around it, where the planner and the…
Embedded AI vs bolt-on AI in Supply Chain Planning | Ep. 27
Escuchado"Why don't we just pour all our data into Claude and use that as our planning tool?" If you work in supply chain planning, you have probably heard that question in your own company. It sounds reasonable. The general AI assistants are impressive, everyone is already using them, and they will happily answer any question you throw at them. This episode takes that question seriously and answers it properly. Søren Hammer Pedersen hosts this session of the S&OP MasterClass and brings in Benjamin Obling, CPO of Perito IBP at Roima Intelligence. Benjamin spends his working life embedding AI agents into integrated business planning software, which makes him exactly the right person to explain where the general assistants end and dedicated planning AI begins. The surprising starting point is that the two are built on the same raw material. The LLMs behind an embedded planning agent and behind Claude or Copilot can be identical. What separates them is instruction, context, and governance. An embedded agent knows which…
Agentic AI in Operations Management – from insight to intervention | Ep. 26
EscuchadoEvery shift on a modern factory floor throws off more signal than any team could ever read. Machines, quality checks, maintenance logs, operator comments, all of it lands in systems of record, and almost all of it goes unread. Managers make do with a handful of dashboards while the answers to their most expensive problems sit in the data, waiting for someone with the time to go looking. Most of the time, nobody does. In this S&OP Masterclass from Roima, host Søren Hammer Pedersen sits down with Rafael Amaral to look at what changes when agentic AI is pointed at that data. Rafael has spent around 20 years in manufacturing technology, split between supply chain planning and manufacturing execution systems. He is CTO and co-founder at TilliT, now part of Roima, where he leads the engineering team behind the TilliT stack, a cloud native MES application. The conversation moves from planning, the subject of the previous episode, onto the shop floor, where the data is densest and the losses are most expensive.…
Agentic AI in Supply Chain – Beyond the Buzzword | Ep. 25
EscuchadoThe word "agentic" is everywhere in supply chain right now, and rarely defined. In this S&OP MasterClass from Roima, host Søren Hammer Pedersen sits down with Rafael Amaral, CTO and Co-Founder of TilliT, to cut through it. They trace the shift from the first wave of AI, which made our existing forecasts and plans better, to the agentic wave, where systems can take a goal and work towards it on their own. Rafael offers a genuinely usable definition of agentic AI, explains why giving a model tools changes everything, and is candid about why so many projects fail, from the 10,000-bottle order nobody approved to the temptation to dump an entire dataset into the context window. The conversation then turns practical: where agentic AI is already creating value in planning, how optimisation is being democratised beyond PhD-level data science, and how Roima's Aura connects the data silos across IBP, MES, WMS and PLM to surface insights teams have been missing. They close on the question everyone asks: what does this…
Monthly S&OP | Balancing and Executive Review: How to Stop Strategic Decisions Being Made on the Warehouse Floor | Ep. 24
EscuchadoMost supply chain organisations can produce a demand plan. Many can build a supply plan. Where the wheels tend to come off is in the two weeks that follow, the balancing week, where you reconcile what the business wants with what it can actually produce, and the executive S&OP, where senior leaders are asked to commit to the trade-offs. Skip these two steps, and strategic decisions quietly slip to whoever shouts the loudest in the warehouse or the sales region. Keep them, and your planning starts connecting to your strategy. In this second installment of the S&OP MasterClass from Roima, Søren Hammer Pedersen sits down again with Benjamin Obling, COO of PERITO IBP, to walk through weeks three and four of the classical S&OP process. The conversation moves from practical visualisation tricks (a simple green, amber, red capacity grid will take you surprisingly far) to the more political work of getting C-level executives to give guidance instead of reactive orders. If you plan supply chains for a living, or you…