Retailers are increasingly leveraging agentic AI, specifically through conversational AI agents, to enhance customer experiences by providing real-time, personalized interactions. These AI systems, built on platforms like Cognigy and utilizing MongoDB's scalability and real-time data capabilities, allow retailers to meet the growing demand for immediacy and personalization in customer service. By integrating real-time business data with AI-driven solutions, retailers can offer seamless, engaging, and context-driven interactions, fostering customer loyalty and satisfaction. Cognigy's use of advanced large language models (LLMs) enables these agents to understand and respond to customer inquiries naturally, updating and interacting with databases in real-time to maintain accurate and reliable exchanges. This integration not only boosts customer satisfaction but also empowers retailers to efficiently scale their operations, ensuring high availability and performance. As customer expectations evolve, the combination of AI and real-time data is crucial for delivering meaningful and lasting customer relationships, positioning retailers to thrive in a fast-paced, competitive market.