Artificial Intelligence (AI) is transforming the retail industry by enabling data-driven decision-making, personalized customer experiences, and optimized operations. This presentation explores the application of AI across key retail functions such as demand forecasting, promotion planning, dynamic pricing, and customer segmentation. We highlight how machine learning, optimization, and generative models can address complex challenges like cross-elasticity effects, bundle conflicts, and customer behavior prediction. Through real-world use cases, we demonstrate how AI models—when combined with domain knowledge and operational constraints—can significantly improve financial KPIs, enhance customer engagement, and support agile, scenario-driven strategies. The session concludes with a look at emerging trends such as synthetic data, causal inference, and responsible AI adoption in the retail sector.
