The Mall Recommendation Multi-Agent System is an AI-driven framework built on a multi-agent architecture to enhance retail experiences in shopping malls. It consists of shopper agents that track visitor interactions, preference agents that analyze past and real-time data, and recommendation agents that generate tailored product and promotion suggestions. Agents communicate via a message-passing protocol to update user models, coordinate cross-agent insights, and adjust recommendations dynamically. The system supports integration with CMS and POS for real-time inventory and sales feedback. Its modular design allows developers to customize agent behaviors, integrate new data sources, and deploy on various platforms. Ideal for large retail environments, it improves customer satisfaction and boosts sales through precise, context-aware recommendations.

TryOnHub.AI is a cutting-edge virtual try-on platform using Generative AI technology. This tool allows users to upload or select garments, customize features like color and size, and see real-time modifications. It aims to revolutionize online shopping by providing a personalized, interactive experience. Ideal for eCommerce businesses and fashion brands, TryOnHub.AI helps reduce returns, streamline the buying process, and enhance customer satisfaction.

Vestium AI offers a cutting-edge solution to the common online shopping dilemma of finding the perfect fit. Users can effortlessly paste a product URL to let Vestium's AI analyze the item based on their unique body measurements. This personalized approach ensures you receive accurate size recommendations for a variety of supported stores, making the shopping experience seamless and enjoyable. Whether you're struggling to choose the right size or want to streamline your shopping process, Vestium AI acts like your personal wardrobe assistant.