Justrae is a fast-growing, digital-native fashion brand built for the trend-conscious generation. Built on Shopify, it drops hundreds of new styles every week, from bold brights and Y2K co-ords to elevated everyday basics, curated to reflect what’s trending right now.
With over 1,500 SKUs live at any moment and a mobile-first audience that expects fast, seamless discovery, Justrae delivers more than products. It creates a fashion experience that feels fresh, inspiring, and effortlessly shoppable. It is designed to keep pace with how today’s consumers browse, shop, and express themselves.
The Challenges
Outdated Search Logic: Justrae’s search engine couldn’t keep up with how fashion-savvy shoppers actually browse. It relied solely on keywords which failed to understand targeted queries like “red office outfit” or interpret visual cues like whether a dress looked formal. Without semantic or image-based understanding, relevant results were often buried, leading to drop-offs and missed conversions.
Zero Personalization: Returning shoppers were met with the same generic feed with no recognition of what they viewed, liked, or added to cart. Without tailored product suggestions, every visit felt like starting over, leading to lower engagement, fewer repeat purchases, and missed revenue opportunities.
Static Merchandising: Their collections moved fast, but product rankings didn’t. The system lacked awareness of what was trending or who was buying—causing high-demand items to get buried.
Lack of Smart Recommendations: Shoppers were shown items that felt random and disconnected from their journey. Instead of surfacing complementary styles or trending pieces, the system pushed static recommendations that failed to inspire, guide, or increase cart size at critical moments.
Mobile Friction: Justrae’s shoppers were mobile-first, but the experience wasn’t. Filters felt clunky, PDPs loaded slowly, and key product info appeared too late. For fast-scrolling users with high expectations, this led to shorter sessions, higher bounce rates, and missed conversions.
We didn’t just fix discovery.
We turned it into our most valuable growth lever!
Experro completely changed how our customers find and shop products. What used to be a frustrating search bar is now one of our biggest revenue channels. It gets fashion, it understands what people mean, what they’re looking for, even when they don’t say it perfectly. We saw a 3.4x jump in revenue from search, AOV went up, and returning shoppers started converting like never before. Honestly, it feels like we hired an entire growth team without actually having to. It’s been a game-changer.
The Solution
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Gen AI-powered Search
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Recommendations
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AI-Powered Merchandising
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Multi-Modal Search Engine
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1:1 Personalization
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Collections
Experro deployed its Discovery Suite to bring structure, speed, and intelligence to Justrae’s fast-moving fashion catalog. Here’s how we did it:
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Gen AI-Powered Semantic Search: We replaced rigid keyword search with Gen AI-powered semantic understanding. Now, when shoppers type things like “Y2K brunch co-ord” or “casual dopamine pop,” the system understands the mood, trend, and intent behind the queries. It delivers results that feel handpicked—like the system truly understands what the shopper had in mind.
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Multi-Modal Relevancy: Every query is matched harnessing the power of text, images, vectors, and behavioral signals. So when someone searches for an “elegant office dress,” the engine surfaces products that actually look elegant and office-ready, even if those exact words aren’t in the title. This search intelligence ensures shoppers see the right styles, faster.
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AI-Driven Merchandising: Experro’s AI automatically promotes products based on what’s trending, what’s selling fast, and how shoppers behave—so bestsellers never get buried. Merchandisers no longer have to guess or constantly reshuffle things.
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Collection-Based Merchandising: From curated “Brunch Fits” to time-sensitive “Back in Stock” drops, Experro enabled Justrae to launch, personalize, and dynamically reorder collections at scale. Merchandisers can now group, highlight, and elevate collections in real-time without development help.
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1:1 Personalization: Each shopper sees products tailored to their behavior—recent views, wishlist adds, past purchases, and even how they interacted during new collection launches. This means higher average order value, stronger retention, and a discovery flow that feels designed just for them.
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Optimized for Mobile. Engineered for Speed: Most of Justrae’s shoppers were scrolling on their phones. So we made that experience feel effortless. Pages now load in a blink, filters respond instantly, and everything feels smooth to navigate. It’s the kind of upgrade that shoppers don’t notice, but never want to live without.
