Leveraging AI & ML Models to Predict Product Sensitivity
In today’s competitive market, leveraging Artificial Intelligence (AI) and Machine Learning (ML) is no longer optional—it’s a strategic advantage. Join us for an exclusive webinar where we unveil a real-world case study of a €500M B2B manufacturer in the building materials industry that achieved a 5% margin growth by harnessing AI-driven product sensitivity predictions.
What You Will Learn:
Why Traditional Elasticity Models Don’t Work for B2B
Understand why elasticity models fall short in B2B environments, especially for wholesalers and manufacturers.
Tackling Incomplete Data: Making Smarter Pricing Decisions
Learn how AI and ML can help you make pricing decisions even when perfect data isn’t available.
Unlocking Smarter Insights with Weak Labeling
Discover how weak labeling turns fragmented data into actionable insights that drive better pricing strategies.
How Bayesian Models Predict Price Sensitivity More Accurately
See how Bayesian models combine past data and expert input to give you a clearer picture of price sensitivity.
Hyperlearning™: The Power of Combining Human Expertise with AI
Learn how blending human expertise with AI accelerates price optimization and smarter decision-making.
Case Study: Achieving 5% Margin Growth through Smarter Pricing
See how a €500M B2B manufacturer in the building materials sector used AI-driven pricing to achieve a 5% margin increase.
