Frequently Asked Questions (FAQs)
About Plush
Go to: plush.shop (works on desktop or mobile).
Type a natural sentence, not keywords.
Template: [Occasion or context] + [how you want to feel/look] + [must-haves/limits]
Example: "Thanksgiving dinner outfit that's cozy but polished, under $200, no mini."
Press Enter → open the Curated Style Guide. You'll see:
• Styled categories/looks (e.g., dresses, layers, footwear)
• Why it works (brief styling advice + context)
• Shoppable pieces from multiple retailers
Refine instantly with follow-ups (just keep typing):
"Make it more colorful."
"Swap boots for flats."
"Show only linen/cotton."
"Keep under $150."
Personalize the edit:
Add details right in your prompt: size, preferred colors, fabrics, modesty/coverage, heel height, brands you love/avoid, travel weather, etc.
Example: "Friendsgiving look in jewel tones, midi length, wide-calf boots, under $250."
Save what you like:
Tap Save/♥ on items to build a shortlist.
Use "show similar" (if available) to see close alternatives.
Shop the picks:
Click through to retailers to buy, or keep iterating the guide until it feels perfect.
Recommended: create an account
Saves your searches & favorites and helps Plush learn your preferences over time.
Technology & AI
Plush's search is powered by a proprietary AI system that combines natural language understanding with structured fashion intelligence. Unlike many tools that simply wrap existing AI models, Plush has developed its own hybrid search technology that blends semantic understanding with precise filtering — allowing it to interpret both the feel and the facts of what you're looking for.
 When you describe something like "a minimalist dress for a city wedding" or "something cozy but elegant for fall dinners," Plush's AI translates your request into a rich set of fashion attributes — from color and silhouette to mood and occasion. It then searches across thousands of carefully tagged items from our partner brands, ranking results by relevance, aesthetic quality, and your personal style profile.
 The result: search that feels intuitive and human, not mechanical. Over time, Plush learns your preferences — the styles, fabrics, and brands you gravitate toward — to deliver increasingly personalized recommendations that reflect your individual taste.
Plush uses AI to make online shopping feel more human. Our technology bridges the gap between how people naturally express style and how traditional e-commerce is structured. Instead of sorting through endless filters or categories, you can simply describe what you have in mind — and Plush understands.
 Behind the scenes, our proprietary AI models interpret aesthetic cues, personal context, and intent — things like vibe, occasion, and taste — to surface results that feel thoughtfully chosen rather than algorithmically random. The more you search, favorite, and explore, the better Plush becomes at anticipating what you'll love, creating a shopping experience that feels intelligent, effortless, and uniquely yours.
Plush's AI is trained to understand fashion the way people actually talk about it — through mood, references, and context. It doesn't just analyze color or cut; it learns from both language and visual data to understand how concepts like "quiet luxury," "'90s minimalism," or "romantic coastal" translate into materials, silhouettes, and details.
 By combining machine learning with curated fashion knowledge, Plush connects cultural style language to the tangible qualities of garments. This allows it to interpret the intent behind your words — so when you describe a vibe, it knows what you mean and delivers results that truly reflect your aesthetic.
Products & Brands
Plush currently focuses on women's fashion. Our selection spans hundreds of brands, ranging from luxury designers to small independent designers. Plush also works with and carries inventories from retailers such as Revolve, Net-a-Porter, ShopBop, Mytheresa, FWRD, The Outnet, etc.
 Currently, Plush carries clothing and shoes, with plans on expanding to handbags and accessories. Stay tuned!