.png){kind=logo}
Chairwoman
Victoria Bayen
Head of Pricing
Program
In a context of rising costs, market volatility and increasingly complex customer behavior, anticipating demand and understanding price elasticity have become critical levers for pricing performance.
Yet, many pricing teams still face the same challenges: fragmented signals, fast-changing demand patterns, and traditional models that struggle to keep pace.
And while AI opens new possibilities, a key question remains: how can pricers leverage AI without losing control over pricing decisions?
This session provides a practical overview of best practices in demand forecasting, price elasticity analysis and predictive pricing control, with a focus on how data and AI can support - not replace - pricing expertise.
What you’ll learn:
✅ How AI-enhanced models can improve demand forecasting accuracy.
✅ How to analyze price elasticity more granularly, by segment, channel or market
✅ How to move from descriptive to predictive pricing control, while keeping decision ownership
✅ Practical use cases and real-life examples from B2B environments
Through concrete examples and peer discussions, this session will offer clear reference points to integrate AI pragmatically into pricing decisions.
A must-attend session for pricers looking to combine pricing expertise, data and AI to navigate uncertainty with confidence.
*Until Feb 28