Justrae
Justrae is a fast-growing, digital-native fashion brand built for the trend-conscious generation. Known for its playful Y2K co-ords, bold brights, and elevated everyday staples, the brand drops hundreds of new styles each week — keeping pace with what’s trending right now.
With over 5000 SKUs live at any moment and a mobile-first audience that values speed and style, Justrae has built a fashion experience that feels fresh, inspiring, and effortlessly shoppable — designed to match how today’s consumers browse, shop, and express themselves.


When support lagged and assistance was missing, shoppers dropped off
As new styles dropped each week, shoppers flooded in with questions — “Will this fit me?”, “What goes with this top?”, “Is it still in stock?”, “Where is my order?” With hundreds of such queries daily across chat and social channels, responding fast while keeping the experience personal became harder by the day.
- Seasonal spikes and rising workload Every new collection drop or festive sale brought a surge of shopper conversations — from size queries to style suggestions and order tracking. Inquiry volume often tripled during these periods, overwhelming the team and increasing response times.
- Omnichannel shoppers, limited bandwidth Customers wanted quick, personalized guidance across chat, WhatsApp, and social media — anytime, anywhere. For a small team, keeping up with this constant, multi-channel demand without losing quality was a growing challenge.
- Missed opportunities in cross-sell and upsell Shoppers wanted styling advice and complementary product ideas, but neither agents nor generic chatbots could deliver timely, human-like suggestions — resulting in missed cross-sell and upsell opportunities.
- Repetitive queries & delayed resolutions Hundreds of routine questions — from “Is this available in my size?” to “When will my order arrive?” — flooded the inbox daily. Response delays caused drop-offs, rising bounce rates, and lower conversion among high-intent shoppers.
- Fragmented conversations across the funnel Shoppers got help finding products, but not all the way to checkout. The lack of a continuous, full-funnel chat experience made the journey feel broken and incomplete.
- Basic chatbots fell short Previous chatbot tools often misunderstood intent, produced irrelevant suggestions, or failed to grasp the nuance of fashion queries like “show me something for a beach wedding.” These hallucinations frustrated shoppers and eroded confidence.
- Inefficient product discovery across a growing catalog A constantly expanding catalog made it hard for shoppers to locate relevant products or explore alternatives efficiently — increasing bounce rates and reducing discovery-to-purchase conversions.
How Experro reimagined the shopping experience
To deliver human-like shopping experiences at scale, Justrae partnered with Experro to reimagine how customers interact online — bringing AI-powered conversations, full-funnel assistance, and omnichannel personalization to every stage of the buying journey.
We understood that across industries, shoppers expect the same fast, human-like experience online as they do in-store — and built a conversational AI platform that makes that possible through personalization, precision, and intelligent automation.
- Semantic, intent-aware conversations Powered by advanced NLP, Skara understands what shoppers mean — not just what they type. Whether it’s “something to wear for a Sunday brunch” or “party heels under ₹100,” the agent interprets context, mood, and purchase intent to deliver spot-on results and human-like recommendations.
- Multimodal discovery through chat Shoppers can search using voice, text, or image directly within the chat. Skara’s multimodal intelligence analyzes visuals, descriptions, and metadata to find matching or complementary products instantly — making discovery effortless, interactive, and engaging.
- Full-funnel assistance & AI-led styling From product discovery to checkout, Skara guides shoppers end-to-end — recommending outfits, completing looks, and suggesting complementary accessories or footwear. These curated bundles and upsells have driven a +34% boost in AOV.
- Brand-aligned voice & knowledge integrity Trained on Justrae’s website, catalog, tone, and policy documents, Skara speaks exactly in the brand’s voice — lively, empathetic, and fashion-savvy. It references verified catalog data and avoids AI “hallucinations,” ensuring every response is accurate and trust-building.
- Smart, contextual size guidance Using brand-specific fit data, model notes, customer preferences, and purchase history, Skara predicts accurate sizes and flags potential fit issues in real time — minimizing returns and building confidence before checkout.
- 24/7 human-in-the-loop support Skara handles general inquiries, order status, and return eligibility checks autonomously — while seamlessly transferring complex cases to human agents with full context. Skara’s built-in unified inbox helped Justrae save money on their live chat software and create a seamless shopping and support experience for customers and their agents alike.
- Omnichannel, multilingual engagement Skara delivers consistent, on-brand conversations across web chat, WhatsApp, and email — supporting multiple languages and regional nuances to ensure inclusivity and wider reach.
Justrae unlocked substantial ROI after implementing Experro’s Conversational AI Agent — Skara
The transformation was almost instant — with Justrae cutting average response times from 40 minutes to under 3 seconds and driving a 3.2x surge in chat-assisted revenue within just 90 days.
3.2x
growth in chat-assisted revenue within 90 days
86%
customer inquiries resolved autonomously
+34%
increase in AOV from in-chat suggestions
< 3 sec
average response time across channels
3.2× jump in chat-led revenue, turning conversations into the brand’s fastest-growing sales channel.
86% of customer queries handled end-to-end by AI, ensuring 24/7 coverage without expanding the team.
34% uplift in AOV driven by contextual recommendations and conversational upsells.
Response times dropped from 40 minutes to under 3 seconds, improving engagement and satisfaction rates.
78% reduction in agent workload, enabling faster resolutions and higher customer retention.










