This podcast episode explores the evolution of AI in pricing optimization over the last five years. From statistical methods to deep learning algorithms, AI has transformed the retail industry by enabling the calculation of future price changes and their impact on demand. Data-driven promo calendars and dynamic pricing strategies help retailers optimize sales and respond to market changes. Deep learning algorithms provide retailers actionable insights, enabling them to move from predictive AI to more complex and contextual analysis. Despite past failures, AI and new algorithms have the potential to revolutionize pricing optimization and transform the future of retail by empowering retailers to optimize pricing and promotion based on real-time data and advanced analytics.