# AI-Powered Fashion Styling Tools Persi Helps Shoppers Style Never Fully Dressed on the Spot By Adam Harrie | Written with AI assistance | Published 2026-09-23 | Art & Design Source: Trend Hunter, https://www.trendhunter.com/trends/ai-powered-fashion-styling-tools References: [retailtechinnovationhub](https://retailtechinnovationhub.com/home/2026/9/8/uk-fashion-brand-never-fully-dressed-taps-persi-ai-powered-styling-and-personalisation-technology) & [yourpersi](https://www.yourpersi.com/)  Persi integrated its [AI-powered styling and personalization technology](https://www.trendhunter.com/trends/amazon-x-wishi) with UK fashion brand Never Fully Dressed, featuring Style Bundler and AI Stylist as part of the rollout. Style Bundler offers multiple, fully shoppable ways to wear the item a shopper is viewing and presents coordinated outfit options alongside each product. AI Stylist generates personalized looks based on a shopper's style, occasion, and stated preferences, and it can style an item a customer uploads from their own wardrobe. Both features aim to turn a single product page into a mini styling session that keeps the focus on the viewed item while expanding outfit possibilities. For shoppers, the tools answer "How would I actually wear it?" at the point of consideration, making choices feel more visual and immediate. For the retailer, these features are designed to simplify decision-making and drive stronger commercial outcomes by surfacing relevant combinations. Image Credit: Persi ## Trend Insights (Trend Hunter) - Score: 9.2/10 - Popularity: 92% | Activity: 93% | Freshness: 91% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: Europe ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Art & Design](https://www.trendhunter.com/artdesign) > [Customization](https://www.trendhunter.com/customization) ## Key Themes ### What's Driving This Trend - **AI Styling Assistants:** Personalized outfit generation embedded in product pages creates richer decision support while opening new paths for conversion, cross-selling, and customer data insights. - **Shoppable Outfit Bundling:** Curated, instantly purchasable looks transform single-item browsing into ensemble-based merchandising with potential to lift basket size and reduce purchase hesitation. - **Wardrobe-based Personalization:** Customer-uploaded clothing inputs enable retailers to connect new products with existing wardrobes, making digital styling more practical, contextual, and loyalty-driven. ### Who This Affects Most - **Fashion Retail:** AI-powered styling layers add experiential value to ecommerce storefronts by merging inspiration, personalization, and merchandising at the point of purchase. - **Ecommerce Technology:** Embedded recommendation tools are evolving from simple product suggestions into interactive shopping interfaces that guide preference discovery and outfit planning. - **Personal Styling Services:** Automated digital stylists make individualized fashion advice more scalable, creating opportunities for hybrid models across brands, marketplaces, and subscription platforms. ## Related on Trend Hunter - [AI Fashion Tools](https://www.trendhunter.com/trends/style3d-ai.md) - [AI Fashion Stylists](https://www.trendhunter.com/trends/beauty-ai-fashion-stylist.md) - [AI Fashion Stylists](https://www.trendhunter.com/trends/outfitt-ai.md) - [Virtual Styling Tools](https://www.trendhunter.com/trends/tryme-ai.md) - [AI-Powered Styling Experiences](https://www.trendhunter.com/trends/ai-powered-styling-experience.md) - [Virtual Styling Tools](https://www.trendhunter.com/trends/outfits-ai.md) - [AI Personal Styling Platforms](https://www.trendhunter.com/trends/tumoda.md) - [AI Virtual Try-On Tools](https://www.trendhunter.com/trends/dressup-ai.md) - [AI-Powered Shoppable Experiences](https://www.trendhunter.com/trends/asos-stylist.md)