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 Content
01:06 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 impact
Production
This podcast is brought to you by Roima.
This podcast is produced by Montanus.
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