S&OP MasterClass

エピソード

• 
  Vibe Code Your Own IBP Solution? Here are the Traps | Ep. 28 07.10.2026 28分

  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 embedded AI fit, and how to test the whole idea in four weeks before you commit any real money.In this episodeHow the same advanced planning software makes both a steel foundry and a food producer pay for complexity they do not needWhy vibe coding the whole scheduling tool recreates the Excel problem in a browserHow to split the job so the platform stays dependable and only the optimisation is vibe codedWhere the point of diminishing returns sits, and why some decisions should stay with a humanThe four-week proof of concept to run before you sign anythingChapters00:40 Who this episode is for02:17 Where production planning sits after MRP04:00 The gap between what is possible and what happens04:53 Two options, configure everything or give up and use Excel07:22 Casting, furnaces and a 20-step workshop10:37 Why the business case is easy to find11:42 Why not just vibe code it13:41 From impressive demo to production reality15:20 Knowing when to stop automating17:19 Keep the platform, vibe code only the optimisation21:09 What the platform gives the building block22:29 The planner, the dashboard and the embedded AI26:08 Prove it with a four-week POC27:09 Wrap upContact and followQuestions, topic ideas, or guest suggestions: [email protected] more episodes at: https://www.roimaint.com/en/catalog/node/insights-webinars-events-and-podcastsIf you want to know more about what we do in supply chain planning and execution, we are here to help.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Embedded AI vs bolt-on AI in Supply Chain Planning | Ep. 27 02.09.2026 29分

  "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 page you are on, which step of the process you are in, which of your six different forecast versions you actually mean, and which data your role allows you to see. A general assistant knows none of that, and it will still give you a confident answer.By the end of the conversation you will understand where each kind of AI belongs in your planning setup, why verification is the difference between a useful alert and a dangerous one, and why the real test of any AI analysis is a simple question. Did we make a better decision?In this episodeWhy "just pour the data into Claude" keeps coming up, and what that question missesWhat actually separates embedded AI from bolt-on AI when the underlying LLMs are the sameHow role-based governance keeps planners inside the data they are allowed to seeWhen a general AI tool is still the right choice for a plannerWhat changes for planners and executives in the monthly process, and what stays the sameChapters01:10 Welcome and the question every planner hears02:04 Bolt-on and embedded AI defined05:05 Instructions, context and the six forecasts problem09:17 Security, roles and data governance11:10 The cost of iteration and pre-prepared analysis14:18 Sharing best practice through one data model16:38 When to use which tool19:26 Same monthly process, different division of labour21:47 The shadow AI pitfall and proving the answer25:01 How planners actually receive embedded AI27:32 Less is more and the decision testContact and followQuestions, topic ideas, or guest suggestions: [email protected] more episodes at: https://www.roimaint.com/en/catalog/node/insights-webinars-events-and-podcastsIf you want to know more about what we do in Perito IBP, we are here to help.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Agentic AI in Operations Management – from insight to intervention | Ep. 26 05.08.2026 29分

  Every 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. Rafael explains Aura, an agentic AI toolset that reads factory data, forms its own hypotheses, writes its own queries, and returns findings a manager can act on. Think of it as a small team of data scientists that never sleeps, correlating things a human would rarely think to compare.You will come away understanding how the analyst bottleneck really works, why the most valuable factory insights are the ones nobody has time to find, and what it looks like to walk in on a Monday morning to a board of evidence-backed recommendations rather than a fresh round of firefighting.In this episodeThe "data is gold, so where is my shovel" problem with systems of record like MES and ERPHow Aura forms its own hypotheses, writes its own queries, and refines its analysis with no human in the loopThe agent swarm explained as a mini factory, a plant manager agent directing maintenance, quality and operations specialistsThe CFO agent that adds your labour and utility costs so findings arrive with the financials already worked outWhy the second wave of AI in supply chain is one professionals cannot afford to sit outChapters03:18 What agentic AI and Aura are04:40 The problem of siloed factory data06:41 A team of data scientists on demand12:43 Correlating machines with operator processes14:38 The agent swarm as a mini factory19:08 What you get on Monday morning20:22 Concrete findings from the floor24:15 The CFO agent and the financials27:32 The second wave of AI in supply chainAbout Rafael Amaral Rafael Amaral is CTO and co-founder at TilliT, now part of Roima, where he heads the engineering team behind the TilliT stack, a cloud native MES application. He has worked in manufacturing technology for around 20 years, with the first half of his career in supply chain planning and the second half in manufacturing execution systems. He has spent that time close to the shop floor, from his first TilliT customer's plant manager to the breweries and wineries he happily admits a soft spot for. His current focus is Aura, the agentic AI toolset that he describes as changing the game for how much value teams can pull out of their own manufacturing data. Contact and followQuestions, topic ideas, or guest suggestions: [email protected] more episodes and get in touch through the Roima website.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Agentic AI in Supply Chain – Beyond the Buzzword | Ep. 25 02.07.2026 36分

  The 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 mean for the people doing the work?Essential listening for supply chain managers, Heads of S&OP, IBP managers and anyone weighing where to place their next bet.Key takeawaysThere are two waves of AI in supply chain. The first made existing tasks better; the second, agentic wave takes on goals and works towards them. "What is my OTIF?" is a request; "how do I increase my OTIF?" is a goal the system works towards on its own.A model becomes agentic when you give it tools to query data, run code or take action, and let it navigate them in a loop. More power means more risk, so guardrails and gates are non-negotiable.Projects fail on missing basic assertions and on dumping too much raw data into the model. Success comes from pairing the right use case with the right methodology.Aura gives AI the power of a developer, writing and running its own code across the full dataset, security-built from the ground up. It is like hiring a team of specialists you could never afford, and Roima's digital thread lets it connect insights across IBP, MES, WMS and PLM silos that never spoke to each other.Waiting for 100 per cent accuracy is the wrong test, because humans make mistakes too. The real question is the cost of an error and the gates around it, and so far these tools empower planners and keep them in control.Chapters03:37 Why supply chain professionals need to care now04:53 From the first wave of AI to the agentic wave08:29 What "agentic AI" actually means14:11 The big pitfall: dumping all your data into the model15:18 Where we are now, and the tipping point19:41 Democratising optimisation without an army of PhDs24:30 Real use cases: from chatbots to Aura32:11 The digital thread: connecting the silos33:44 What this means for the humans, and wrap-upGuest and host Guest: Rafael Amaral, CTO and Co-Founder of TilliT (Roima Intelligence). More than twenty years in manufacturing technology across supply chain planning, optimisation and execution systems.Host: Søren Hammer Pedersen, CCO,
• 
  Monthly S&OP | Balancing and Executive Review: How to Stop Strategic Decisions Being Made on the Warehouse Floor | Ep. 24 13.05.2026 45分

  Most 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 carry the CFO, CCO or CEO title and find yourself making scattered, one-off calls on inventory, service levels and market priorities, this episode will give you a clear mental model for how those decisions should be surfaced, framed and committed to inside a monthly rhythm.Chapters00:00 Cold open, the cost of skipping the balancing step01:23 Welcome to the S&OP MasterClass and recap of part one03:28 The four weeks of the S&OP process at a glance05:56 Why weeks three and four actually matter11:07 Visualising capacity, bottlenecks and stock projections18:01 Extending the footprint to include your suppliers20:23 Running the balancing meeting and handing over to sales22:23 Deciding what to mitigate now and what to escalate27:10 The purpose of the executive S&OP meeting29:01 How to motivate the C-level to show up35:16 Turning decisions into operational plans the same week37:58 The fifth step, adhering to the plan you just agreed42:07 Getting started without inventing the wheelProduction This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Monthly S&OP | Get chaos or get the first weeks right | Ep. 23 15.04.2026 40分

  Most companies know they need an S&OP process. Few have one that actually works.The gap between having the meetings and having a functioning integrated business plan is where most organisations quietly struggle, and where the biggest operational and commercial risks accumulate. In this episode of the S&OP MasterClass, Søren Hammer Pedersen sits down with Benjamin Obling – a practitioner with 16 years of focused S&OP experience across industries and organisations – to work through the first two weeks of a monthly S&OP cycle. Not the theory.The actual steps: who does what, when, with which tools, and what goes wrong when any of it is missing. Benjamin brings the perspective of someone who has seen both extremes up close: companies with sophisticated IBP tools and no process, and companies with well-structured processes and nothing to put in them. His argument is that neither works alone. The foundation of a reliable S&OP process is built in weeks one and two, in demand planning and supply planning, the engine room of the S&OP process.Get those two weeks right, and the rest of the cycle becomes a decision-making conversation grounded in data. Get them wrong, and you spend weeks three and four firefighting.This episode is the first in a two-part series. Today covers demand planning and supply planning. Part two will go into the balancing and executive S&OP stages.In This EpisodeWhy having an S&OP process without the right data tools, or the right tools without a process, produces equally poor resultsThe four main steps of a monthly S&OP cycle, and why skipping the first two guarantees chaos in the last twoThe difference between minor and major forecast overrides and why most minor adjustments are a waste of timeWhy inventory planning is a strategic decision disguised as a technical one and the risks of leaving it to a few specialistsHow to run a supply-side MRP simulation before uploading your demand plan to the ERP systemThe two non-negotiables for a high-functioning S&OP process: strong data tools, and clear process ownershipEpisode contents00:07 Recap: the four phases of S&OP08:49 Why balancing week matters — and why most companies skip it15:20 The "loudest voice wins" problem in demand prioritisation30:03 Simulating MRP before it hits the ERP system31:47 Extending visibility up and downstream: suppliers in the picture34:26 Rule of delegation: what to resolve in week 3 vs. escalate to week 436:18 Outputs of the balancing week25:37 How to get C-level to actually show up and engage27:25 Structuring the executive meeting: State of the Union + decisions09:17 Avoiding the post-planning firefighting trap37:22 The fifth step: following up on actual planning behaviour38:56 Summary & closing thoughts39:13 Outro & call to actionProduction This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  How to balance AI in supply chain planning with human judgement | Ep. 22 11.02.2026 33分

  AI is moving fast and it’s changing the way supply chains are run. But a big question remains: how do you tap into its power without losing control or replacing the judgment you and your team bring to the table?In this episode of the S&OP MasterClass, Søren Hammer Pedersen sits down with Benjamin Obling, a supply chain expert with 16 years at Roima.You’ll hear real examples of how companies are using AI in demand forecasting and inventory planning without cutting people out of the process. If you’ve been wondering how to get AI working for you, without creating blind spots or overreliance, you’ll want to listen in. We talk about practical ways to build trust, add smart governance, and use AI where it makes sense while keeping human judgment front and center.In this episode, you'll learn about:How to balance AI automation with human judgment in planning.Key AI-driven improvements in demand forecasting and inventory management.Importance of trust and governance in adopting AI strategies.How to determine what to automate and where humans are needed.Embracing AI while maintaining control through guardrails and alerts.Episode content00:44 The rise of AI in supply chain planning03:39 Current challenges in AI integration for planning04:51 Trust and governance in AI predictions07:03 Finding starting points for AI automation in planning08:45 Leveraging AI across different planning disciplines09:13 Identifying critical areas for human oversight12:19 Balancing automation and human judgment16:56 Knowing when to trust AI predictions19:18 Ensuring transparency in AI-driven processes23:36 Impacts of AI on sales and operations planning29:10 Future outlook for AI in supply chain planning Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Why your MRP is insufficient in the real word of S&OP and what do do about it | Ep. 21 14.01.2026 35分

  Do you actually trust the MRP output you get every day, or are you stuck with unrealistic plans and constant firefighting?In this episode of the S&OP MasterClass, host Søren Hammer Pedersen is joined by Roima colleague Benjamin Obling, who brings 16 years of experience in inventory, demand, supply planning, and IBP, for a deep dive into one of the most critical engines in supply chain execution: MRP.They explain why MRP often becomes unstable in real-world complexity such as BOM levels, lead time variation, MOQs, capacity rules, and multiple factories or ERP systems. They also walk through the warning signs and the business impact when MRP is not under control, including lost sales, excess inventory, air freight, and frequent changeovers.Most importantly, they share practical ways to diagnose and stabilize MRP. Topics include timestamping MRP outputs to improve transparency, fixing key inputs where data quality drives outcomes, and using a direct-derived demand view to separate stable consumption from MRP-driven volatility. If supplier forecasts keep changing and planners spend too much time correcting proposals manually, this episode is highly relevant.In this episode, you will learn about:Why MRP is a critical link between S&OP decisions and execution in daily operationsCommon signs that MRP is producing unrealistic and costly plansWhy rule-based MRP struggles in complex and constraint-heavy environmentsHow to analyze MRP volatility using locks, timestamps, and BOM-level tracingA practical approach to stabilizing supplier and capacity views using direct-derived demandHow to prioritize master data fixes without launching an endless cleanup effortWhere scenario planning and rough-cut capacity planning can support better decisions before changes reach ERP and MRPEpisode content 00:00 Welcome and why MRP matters01:05 Meet Benjamin Obling, IBP and supply chain planning expert02:10 How MRP turns S&OP decisions into execution03:35 When MRP works and when complexity breaks it05:25 Red flags: unrealistic plans and manual firefighting07:05 The business cost of poor MRP output08:30 How MRP becomes a black box over time10:40 Diagnosing MRP volatility with locks and timestamps12:35 Fixing the inputs: forecast, safety stock, MOQs, lead times15:10 Prioritizing master data fixes by impact18:05 Direct-derived demand vs. MRP noise21:10 Better decisions with rough-cut capacity and scenariosProduction This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Skip the honeymoon and make vendor selection work | Ep. 20 01.10.2025 41分

  Mastering vendor selection = cut risk and pick the right partner.Are you still choosing vendors based on pitch decks and checklists? You're absolutely not alone. It's aslo costing more than you think.In this episode of the S&OP Masterclass, Søren Hammer Pedersen talks with Benjamin Obling from Roima. Benjamin brings 15+ years of integrated business planning experience, offering insights into what works, what fails and what often slips under the radar.We cover what to look out for beyond the first demo, why finance should always be at the table early in the RFP process and how to spot misalignment before it slows everything down. This one's short, sharp and full of smart ways to fine-tune your vendor selection process.If you’re planning for a new IBP tool, or want to make sure your current setup supports the big picture, this is for you. In this episode, you'll learn about:1. Importance of aligning management before vendor selection.2. How to demo and validate vendors effectively.3. Key factors for a successful RFP process.4. Four critical tracks to focus during RFP.5. Role of concrete proof-of-concept in evaluations.6. Avoiding common pitfalls in vendor selection.Episode Content02:42 Importance of a good vendor selection process07:35 Defining business outcomes and requirements09:40 Stakeholder management in vendor selection14:02 Shortlisting vendors: Number and criteria15:31 Importance of live demos during vendor evaluation26:05 Value of proof of concepts in selection30:43 Finance’s role in strengthening the business case32:05 Four tracks to consider in the RFP process33:58 Importance of cultural fit and vendor relationships39:01 Reinforcing simplicity and avoiding overcomplicationProduction This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Future-proofing supply chains: From Excel to AI-driven planning | Ep. 19 10.09.2025 40分

  How ready is your supply chain for the next disruption?In this episode of the S&OP MasterClass, Søren Hammer Pedersen talks with integrated business planning expert Benjamin Obling about what it really takes to keep your planning sharp and resilient - especially as budget season approaches.They’ll get into why many companies still rely on tools like Excel (and the hidden cost of doing so), what agility and scalability really mean today, and where AI actually fits in. Even more importantly, they’ll focus on how to make a solid, practical case for investing in better planning infrastructure, so you’re not left patching things up when the pressure is on.If you're weighing where to allocate budget or just want a clearer view of what comes next in planning, this one's for you. It’s short, sharp and full of insights you can use. Hit play when you’re ready.In this episode, you'll learn about:How to future-proof supply chain planning for budget season.Key areas for enhancing supply chain efficiency and agility.The vital role of scenario planning in modern supply chains.Exploring the intersection of AI and supply chain planning.Leveraging cloud technology for scalable supply chain solutions.Episode Content00:39 Overview of budget season in supply chain planning  01:11 Importance of future-proofing your supply chain planning  04:28 Competitors are becoming more professional in planning  12:57 Emphasizing scalability in supply chain operations  18:01 The growing need for scenario planning in uncertain times  30:10 Structure and data governance in AI applications  32:42 Costs of inaction: stockouts and working capital issues  36:33 Building a data-driven business case for investment decisionsProduction This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  The revenue insights hiding in your S&OP process – and how to find them | Ep. 18 06.08.2025 36分

  Is your S&OP process really connected to your company’s goals or is it stuck in its own lane?In this episode, Søren Hammer sits down with Benjamin Obling from Roima to talk about how supply chains can do more than just react. They can lead. They talk about what happens when operations, strategy, and finance actually work together – and what’s holding that back today.You’ll get practical insights on connecting strategic planning with real-world capacity and demand as well as examples of how smarter forecasting and aligned priorities can drive both profit and performance.If you're a supply chain leader who wants a stronger voice in the boardroom, this one’s for you.In this episode, you'll learn about:Why supply chain needs a strategic and financial seat.Hidden costs impacting revenue and company value creation.Breaking silos for strategic supply chain alignment.Using demand forecasting for strategic business simulations.How to integrate finance for a unified business plan.Episode Content00:58 Meet Benjamin Obling and his background  01:45 Linking S&OP to finance and strategy  04:22 Recent trends pushing for financial alignment in S&OP  07:00 Evolving S&OP processes and addressing operational silos  09:27 The need for a unified demand forecast  11:57 Engaging C-suite for strategic S&OP discussions  16:35 Balancing inventories with strategic decision-making  19:12 Steps to integrate revenue insights into planning  30:15 Emphasizing the importance of data-driven decision making  33:39 Aligning systems and processes for better efficiencyProductionThis podcast is brought to you by Roima.This podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Why demand variability is killing your supply chain planning | Ep. 17 02.07.2025 37分

  What’s causing the most stress in your planning process?Missed forecasts?Late deliveries? The real issue might be something sneakier: variability.In this episode of the S&OP Masterclass, Søren Hammer sits down with Benjamin Obling to talk about how variability quietly chips away at efficiency and profits. With 16+ years of hands-on experience, Benjamin shares real examples and smart ways to manage uncertainty across demand and supply.If you’re working with supply or demand planning, and tired of being surprised by what *should’ve* been predictable, this one’s worth your time. You’ll walk away with advice you can actually use, and maybe a few ideas you haven’t thought of yet.Listen in and give your planning process an advantage.In this episode, you'll learn about:1. Why variability is a "silent killer" in supply chain planning.2. How to address demand planning uncertainties effectively.3. The role of AI models in improving forecast accuracy.4. Minimizing supply chain uncertainty through data measurement.5. Optimizing inventory amidst unknowns for cost efficiency.6. Balancing human factors with S&OP processes efficiently.Episode Content01:06 Importance of understanding uncertainty in forecasting  04:46 Tackling uncertainty in demand planning  05:56 Using AI to improve forecast accuracy  08:03 Impact of promotional campaigns on demand variability  10:14 Managing new product launches and uncertainties  14:19 Addressing supply-side uncertainties and inventory management  16:51 The role of MRP and its sensitivity  21:45 Human factors affecting planning and adjustments  25:52 Tools for measuring variability in supply chain  30:39 Prioritizing areas to tackle based on financial impactProductionThis podcast is brought to you by Roima.This podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Unlock planning excellence – Strategies for supply chain leaders | Ep. 16 28.05.2025 37分

  Why do so many companies settle for “good enough” in supply chain planning – when better is absolutely possible?In this episode of the S&OP Masterclass from Roima, we sit down with Søren Hammer Pedersen and Benjamin Obling to talk about how you can move from legacy processes to smarter, more automated planning that actually delivers results.We’ll share real stories and practical steps to help you rethink how you approach demand and supply planning, get more out of your tools, and challenge old habits that no longer serve you.  If you're tired of inefficiencies and ready to unlock real business value, this one’s for you. Listen in and pick up ideas you can immediately start using to improve accuracy, cut costs, and stay ahead.In this episode, you'll learn about:1. Understanding the concept of planning excellence in supply chains.2. Balancing process optimization with tool integration.3. Importance of challenging existing supply chain processes.4. Identifying and automating key strategic supply chain processes.5. Leveraging business logic for dynamic stocking strategies.6. Effective strategies for enhancing forecast accuracy.Episode Content00:10 Introduction to supply chain planning excellence03:29 Common mistakes in change management05:33 The need for process challenges08:04 Demand planning: key considerations for improvement09:18 Data integrity and forecast quality11:19 Human behavior and forecasting14:05 Inventory planning and automation opportunities16:40 Stocking strategies and rethinking business logic20:35 Master data's role in supply chain efficiency25:42 Structured approach to process re-engineering28:12 Business value of planning excellence30:50 Ensuring follow-up and sustaining improvements35:50 Start your transformation journeyProductionThis podcast is brought to you by Roima.This podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Demand AI – Transforming Supply Chain Forecasting for Competitive Edge | Ep. 15 30.04.2025 36分

  Is your demand plan giving you the accuracy you need – or are you reacting more than you’d like?In this episode of the S&OP MasterClass, Søren Hammer Pedersen, sits down with Benjamin Obling from Roima to talk about something that’s changing the game in demand forecasting: AI. Benjamin brings 15 years of practical experience and shares how Roima is using AI – specifically neural networks – to fine-tune forecasts down to the SKU level and across channels.They cover what’s working, what’s not, and what it actually takes to move from manual to machine-assisted planning.If you're looking for smarter ways to manage demand and gain an edge in your supply chain, this one’s worth your time.Give it a listen.In this episode, you'll learn about:1. What is demand AI and its significance in forecasting?2. How does demand AI enhance forecast accuracy?3. The best techniques for implementing demand AI effectively.4. Practical benefits realized from adopting demand AI methods.5. Common challenges and solutions in demand AI implementation.6. How demand AI transforms demand planning dynamics.# Episode Content01:07 What is Demand AI? Overview by Benjamin Obling  02:14 Improving Forecast Accuracy with Demand AI  04:24 Demand AI: A Game Changer for Supply Chains?  05:42 Techniques Behind Demand AI Models  10:00 Continuous Improvement: Learning from Forecasts  15:41 Real-Life Benefits of Demand AI Implementations  20:55 Steps for Getting Started with Demand AI  26:09 The Demand Planner's Evolving Role with Demand AI  29:22 Future Predictions: Expanding Beyond Demand AI  35:02 Final Thoughts: Embrace Demand AI for Success# ProductionThis podcast is brought to you by Roima. This podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  5 Pitfalls Using AI in Supply Chain Planning and How to Mitigate them | Ep. 14 08.05.2024 24分

  AI can certainly boost your supply chain management. But how? And what risks are there to avoid?This is the topic of todays episode, where er take a good look at five pitfalls using AI, and what you can do to mitigate the risks.The pitfalls we’ll cover is: How to avoid the Black Box Pitfall?How to succeed with limited resources?How to strengthen the weakest link datalink?How to prevent AI from learning the wrong things?How to avoid AI conflicting with employee incentivesTune in, and get the most out of your supply chain AI initiatives.Today’s guestToday, we are joined by Stephan Skovlund, founder of former Perito Consulting, and now partner in Perito IBP, Roima. Stephan has worked with supply chain optimization and control for the last 10-15 years, and have worked closely with AI in supply chain management long before the topic became hot with the introduction of ChatGPT in November 2022.Your host is, as always, Søren Hammer Pedersen, CCO in Perito IBP, Roima.Episode contents00:09 – Introduction to the topic01:36 – Assisting organizational readiness for AI adoption06:40 – The critical role of data quality in AI implementation10:59 – Pitfall 1: The black box and explainability12:19 – Pitfall 2: Getting started with limited resources14:28 – Pitfall 3: The data strength17:20 – Pitfall 4: Preventing AI from learning the wrong things18:26 – Pitfall 5: AI conflicting with employee incentives23:38 – Conclusion and advice for beginning the AI journeyThe podcast is brought to you by Roima.This podcast is produced by Montanus. Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  AI in Supply Chain: Beyond the Buzzwords | Ep. 13 20.03.2024 26分

  You know that AI is transforming supply chain planning. But can you differ buzzwords from business? In this deep dive episode, Søren Hammer Pedersen and Stephan Skovlund guide you through the transformative journey of AI in supply chain planning. From the basics of AI and machine learning to the sophisticated use of language models like ChatGPT, we uncover the layers of AI applications that are revolutionizing the industry. Get insights on how AI not only enhances operational efficiency but also redefines strategic planning and decision-making processes in supply chain management. Whether you're a novice eager to understand AI's potential or a seasoned professional looking to integrate AI technologies into your operations, this episode is your gateway to the future of supply chain planning.Key Take-Aways:The role of ChatGPT and AI in transforming supply chain planningKey benefits of integrating AI into supply chain strategiesPractical steps for beginning with AI in supply chain planningThe impact of AI on sales forecasting and customer serviceOvercoming challenges and leveraging AI for optimal resultsEpisode Contents00:08 Introduction by Søren Hammer Pedersen01:05 Stephan Skovlund's background and expertise02:00 Discussing the impact of ChatGPT on AI perception in supply chain07:24 How AI benefits supply chain planning16:05 Utilizing language models in supply chain and inventory planning21:36 AI in customer service as an extension of the chatbot24:54 Round off of conversationToday’s Host and Guest Søren Hammer Pedersen, Host Stephan Skovlund, Co-Founder of a Perito IBP, RoimaThe podcast is brought to you by Roima, Perito IBP  This podcast is produced by Montanus. Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  Supply Chain Assessment – Why and How? | Ep. 12 25.10.2023 37分

  You may have heard about “Data-driven Supply Chain Assessment”, but do you know what it means? Why is it necessary? Who does it? And how will it impact your supply chain planning?In this episode, Benjamin Obling, COO at Perito IBP, digs into the questions surrounding a supply chain assessment, and will answer questions like: What is required to conduct a data-driven supply chain assessment?What elements should be assessed?How do you actually do it – the toolbox you need.How to build a business case from the assessment.Get ready to learn!Your host is Søren Hammer Pedersen, Chief Commercial Officer at Perito IBP.Visit Perito IBPThis podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  How to Reduce Inventory & Working Capital | Ep. 11 04.10.2023 39分

  Inventory levels, working capital, safety stock. All are hot topics in the world of supply chain planning, but the real question is: How do you optimize your supply chain without sacrificing service levels?All of this and much more we’ll talk about in this episode of S&OP MasterClass™, where we’ve once again invited the knowledgeable Benjamin Obling to the table. Benjamin will share his insights on: The influence of internal and external factors to the supply chain planningStock policies and strategiesBalancing inventory with data and gut-feelingAnd much much more.Your host is Søren Hammer Pedersen, Chief Commercial Officer at Perito IBP.Visit Perito IBPThis podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  DLG: Sustainability in a Huge Supply Chain – Part 2 | Ep. 10 31.05.2023 25分

  How do you operationalize sustainable initiatives in a huge supply chain? In this second part of the DLG S&OP MasterClass, we ask our guest, Flemming Højsager Persson, what being part of the Science Based Targets initiatives entails, seen from the supply chain point of view. Flemming Højsager Persson is the Head of Supply Chain Development at DLG, and will in this episode tell you about: Supply Chain Maturity and SustainabilityHow to handle owners and other stakeholders when investing in sustainabilityConsequences of sustainability for future supply chain plannersYour host is Søren Hammer Pedersen, Chief Commercial Officer at Perito Consulting.Visit Perito ConsultingVisit DLG-----------This podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.
• 
  DLG: Sustainability in a Huge Supply Chain – Part 1 | Ep. 9 15.05.2023 21分

  How does a large corporation like DLG work with sustainability? Industriously!(Please note that this is part 1 of a 2-part mini-series on DLG's sustainability work in their supply chain. Stay tunes for part 2 in episode 10.)DLG has just been approved by the Science Based Targets initiatives. For DLG this means mapping emissions diligently (also scope 3) as well as committing to and operationalizing ambitious sustainability targets.This is part 1 in a 2-part-series on DLG's supply chain setup. Make sure to listen in on episode 10, where we'll continue the talk. In this interview, you will meet Head of Supply Chain Development, Flemming Højsager Persson at DLG, who will elaborate how the sustainability commitment impacts supply chain. In the episode, you’ll learn about: How the Science Based Targets impacts the DLG supply chainHow DLG expects supply chain planning will change over the next yearsThe business case behind emission targets and goal settingAnd much more …Your host is Søren Hammer Pedersen, Chief Commercial Officer at Perito Consulting.Visit Perito ConsultingVisit DLG---This Podcast is brought to you by Perito ConsultingThis podcast is produced by Montanus.Production This podcast is brought to you by Roima.This podcast is produced by Montanus.