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.

AI Recommendations for Shopping is a Chrome extension designed to optimize your online shopping experience by providing tailored product recommendations. Leveraging OpenAI's advanced algorithms, it analyzes your shopping patterns, preferences, and behaviors. Whether you’re browsing Amazon, Newegg, or eBay, this tool helps you easily find items that cater to your tastes, helping you make informed purchasing decisions while saving time and effort.

Dokuso is a state-of-the-art fashion search engine that revolutionizes online shopping. Using sophisticated AI algorithms, it analyzes product characteristics such as color, pattern, and material. The platform curates fashion items from top brands and presents them in a user-friendly manner. Designed for trendsetters and style enthusiasts, it offers a personalized shopping experience by making intelligent associations with contemporary cultural trends. Whether you're searching for sustainable designs, tailored suits, or trendy statement pieces, Dokuso helps you find exactly what you're looking for.

Fit:match leverages patented 3D scanning technology to create an anonymized 3D avatar of a user’s unique body shape using the LiDAR sensor on iOS devices. This technology enables users to visualize their bodies, track changes over time, and shop with confidence, knowing they will receive items that fit perfectly. With no need for traditional size guides or try-ons, Fit:match simplifies the shopping experience and reduces the need for returns. Additionally, the AI shopping assistant, FIT:AI, helps users find items from top brands that match their style and fit.

Stylitics delivers a comprehensive visual merchandising and product bundling platform that leverages AI technology. By automating styling and outfitting across a retailer's product catalog, Stylitics ensures 100% styling coverage. This innovative approach helps retailers present curated collections and combinations to customers, enhancing their shopping experiences, increasing engagement, and driving sales. Retailers benefit from reduced image processing costs, increased conversion rates, and personalized shopping journeys for their customers.

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.