Pricing Strategies with AI
This workshop explores advanced techniques in price analysis, blending traditional methods with AI-driven approaches to uncover actionable insights. Participants learn to evaluate pricing strategies, measure key metrics like price elasticity, and address challenges such as seasonal variations and market trends using causal machine learning and time series regression. The course also introduces client segmentation with PCA for deeper understanding of price sensitivity, and attendees gain an overview of essential tools like Python and Scikit-learn for AI-powered pricing solutions.
By the end of this workshop, participants will:
Master key indicators of price analysis, including price elasticity, revenue impact, and price sensitivity
Address the challenges of isolating the impacts of price changes using AI techniques such as causal machine learning and time-series regressions
Learn how advanced segmentation methods, such as principal component analysis (PCA), can enhance understanding of customer price sensitivity
Gain insight into AI tools and techniques, such as Python and Scikit-learn, for price analysis
Develop strategies to apply AI-driven insights to optimize pricing decisions and maximize business performance