Algonomy Recommend is an AI-driven solution designed to deliver contextually relevant product recommendations across all eCommerce touchpoints. It leverages a pre-built library of over 150 strategies and a patented Xen AI technology to monitor shopper behavior in real-time, selecting the optimal recommendation strategy for each customer interaction. The platform supports explicit and implicit data inputs, including browsing and purchase history, product attributes, trends, geodata, inventory, and merchandising goals. It offers a no-code DIY Strategy Builder for custom algorithm tuning, a Customer Preference Center to capture explicit customer preferences, and deep merchandising controls to balance AI optimization with business objectives. Algonomy Recommend aims to eliminate cold starts and solve for fast-changing catalogs and previously unsolvable scenarios using deep learning models like NLP and Visual AI, enabling hyper-personalized experiences for both new and returning shoppers.

Features & Benefits

• AI-Powered Decisioning Engine: Monitors shopper behavior in real-time to select the best recommendation strategy from 150+ pre-built options.
• DIY Strategy Builder: Industry-first no-code builder to create, tune, and tweak algorithms for unique business needs.
• Customer Preference Center: Empowers customers to explicitly state preferences, enhancing personalized experiences.
• Deep Merchandising Controls: Balances AI optimization with business objectives through configurable weights and rules.
• Extensive Recommendation Models: Library of 150+ algorithms including collaborative filtering, visual AI, and NLP for diverse personalization challenges.
• Real-Time Segment Streaming: Audience Manager add-on to syndicate audiences and segments across the marketing ecosystem.
• Deep Learning for New Products: NLP and Visual AI to recommend niche, seasonal, or new products even without historical data.
• Omnichannel Personalization: Leverages online and offline data for unified, real-time user profiles and cross-channel personalization.
• AI Transparency: Provides visibility into recommendation performance, impact, and the reasoning behind algorithm selection via Experience Browser.