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.

LEAFIO AI is a leading retail automation platform designed to improve various retail processes such as merchandising, inventory management, and assortment planning. The software uses advanced AI algorithms to optimize these processes, resulting in increased productivity, better decision-making, and higher ROI. Retailers, distributors, and CPG manufacturers can benefit from LEAFIO’s comprehensive solutions, ensuring balanced inventories, efficient order generation, and improved sales performance.