Question: I'm looking for a solution that helps apparel retailers increase product discovery and revenue through personalized recommendations.

If you're looking for a way to boost product discovery and revenue with personalized recommendations for clothing retailers, Dressipi is a good option. This personalization engine is geared specifically for the fashion industry to help retailers boost sales and revenue with product tagging, intent-based categories and recommendations. It also offers outfit recommendations to boost customer loyalty and product forecasting to optimize product assortment.

Another strong contender is ViSenze, a smart search and product discovery engine that uses multimodal AI for personalized search and recommendations. The platform accepts natural language text, keywords, images, LLM-based chat and social media posts for a broad search experience. ViSenze offers multi-search, recommendations and advanced AI-driven analytics, so you can easily handle big and multiple catalogs while driving conversions and customer satisfaction.

If you want a more comprehensive AI-powered solution, FindMine could be a good fit. It offers automated product recommendations, themed landing pages and high-quality imagery that helps to complete looks for more than 90% of inventory, resulting in substantial sales. It integrates with a broad range of ecommerce platforms and social media, so it's a good choice for improving ecommerce, marketing and in-store experiences.

Stylitics also offers inspirational commerce solutions with AI-powered styling and bundling content. It offers personalized outfit combinations and shoppable content through features like Ways to Wear It and Recommended for Me. The platform is designed to increase average order value, conversion rates and customer loyalty through its smart automation and real-time shopper data.