This e-book examines how traditional and generative AI can help retailers improve customer understanding, operating margins, and real-time decision-making. Major use cases include AI-enhanced and semantic search, hyper-personalized recommendations, automated marketing content, demand forecasting, dynamic pricing, event-driven retail operations, and conversational chatbots. MongoDB Atlas combines customer, product, inventory, behavioral, and vector data so operational and AI workloads can run together without separate data silos. Atlas Vector Search enables semantic product discovery and RAG applications, while Change Streams can automate updates as data changes. Examples from Delivery Hero and L’Oréal demonstrate improvements in personalization, scalability, application performance, and cu

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