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.

Wiser AI is an intelligent app designed for Shopify that leverages artificial intelligence and machine learning to deliver personalized product recommendations. By analyzing browsing patterns, purchase history, and customer preferences, Wiser tailors recommendations to each shopper, enabling e-commerce businesses to boost their sales and enhance customer satisfaction. The app seamlessly integrates into online stores, displaying dynamic, data-driven suggestions that can significantly increase average order values and improve the overall shopping experience.