Discover generative AI use cases in retail, from personalized shopping to demand forecasting and intelligent inventory control. Generative AI is transforming retail by enabling automation, enhancing customer experience, and optimizing backend operations. It supports use cases such as product content generation, personalized marketing messages, visual merchandising, and virtual fitting rooms. Retailers can use generative AI to create synthetic product images, simulate customer interactions, and dynamically generate advertisements tailored to user preferences. Additionally, it plays a key role in demand forecasting, inventory planning, and pricing optimization. By analyzing consumer behavior and historical data, generative AI helps retailers adapt quickly to market trends. Its applications extend across e-commerce, in-store experiences, and omnichannel retail environments, offering smarter and faster decision-making capabilities.