For improving product discoverability and customer engagement, Lily AI is a great option. The platform uses more than 20,000 product attributes to improve search, recommendations and demand forecasting, and is geared for industries like fashion, home goods and beauty. Lily AI automates tasks like writing search-optimized product descriptions, freeing up merchandising and ecommerce team members to focus on higher-level work, and is designed to fuel exponential growth by matching customers with products they'll love.
Another option is AdVon Commerce, which offers a proprietary eCommerce AI designed to remove friction from the buying process and increase conversion rates. It's geared for content enrichment, conversion boosts and retail media, so it's a good choice for retailers with big product catalogs. With a human-in-the-loop AI approach, AdVon ensures that content is accurate and personalized, helping retailers to achieve better category rankings and faster inventory turnover.
Klevu is another option, offering AI-powered ecommerce tools for advanced search, merchandising and product recommendations. Its tools include predictive autocomplete, personalized recommendations and category merchandising that can dramatically improve the customer experience. Klevu supports several ecommerce platforms and offers detailed documentation and support, making it a good choice for those who want to improve conversion rates and revenue growth.
Last, ViSenze offers smart search and product discovery powered by multimodal AI. Customers can search by natural language text, keywords, images and social media posts for a natural and personalized discovery experience. With features like multi-search, recommendations and GenAI tagging, ViSenze can handle big catalogs and can improve conversions and order value, making it a good option for retailers who want to improve customer engagement.