Artificial Intelligence in Product Management: Enhancing User Experience Personalization through GenAI

In today’s digital age, personalized customer experiences are crucial for businesses to thrive. Traditional methods of customer experience personalization often rely on static models that struggle to adapt to dynamic consumer behaviors and preferences. This research study proposes a novel dynamic integrated model that leverages Generative AI to continuously update and refine customer experiences. By analyzing multi-dimensional data sources such as transaction history, online interactions, and social media activity, the model can capture the evolving nature of customer preferences. This research study explores the potential of integrating advanced algorithms like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) to generate personalized content, recommendations, and interactions. By combining these techniques with traditional machine learning approaches, the model can deliver highly tailored and engaging experiences. This research contributes to the advancement of personalized customer experiences, empowering businesses to build stronger customer relationships and drive business growth.