EN
Pyplan Experience Talk #2: The Danone case
Combining demand forecasting, advanced analysis, and integration between areas can transform Supply Chain Planning.
June 4, 2025
In this video, we show how the combination of demand forecasting, advanced analysis, and integration between areas can transform Supply Chain Planning.
📌 What you will see:
- Why AI models outperform traditional forecasting methods
- How to apply predictive algorithms even without being an expert
- How to integrate demand, production, and inventory into a single environment
- Real Results: More Agility, Visibility, and Accuracy
- Live question and answer session
👉 Do you want to know how to apply these practices in your process? Get in touch
About
Industry
You might also be interested
Article
Agentic AI in planning: separating the hype from the product
The 2026 tariff volatility requires replanning in days, not months. What capabilities do Supply Chain and Finance need to avoid being exposed?
Read more
Article
Data governance for planning with confidence
Control, traceability and consistency in each Bajada number
Read more
Article
Modeling the business, not just the numbers
How Pyplan's influence diagrams transform complex rules into clear decisions
Read more
See Pyplan in action
Complete the form with your details and let us know!
we will get in touch with you!
we will get in touch with you!
© 2026 Pyplan. All rights reserved.