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.
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