Case Study

Justrae lifts AOV by 30% with Skara AI Fashion Agents

How Skara turned chat into a full-funnel shopping assistant - powering higher conversion, bigger carts, and dramatically lower support load without adding headcount. 

Justrae used Skara AI Agents for Apparel to transform chat from a reactive support channel into an always-on shopping experience that helps customers discover styles, get confident about fit, and resolve post-purchase questions instantly. The outcome: higher cart values, stronger chat-assisted conversion, and a major reduction in human-handled support - even during drops and seasonal spikes.

Brand
Brand

Justrae

Industry
Industry

Fashion & apparel 

HQ
HQ

Charlotte, North Carolina, USA 

Solution
Solution

Skara AI Fashion Agents (Styling, Size & Fit, Support Automation) 

Channels
Channels

Web chat + messaging channels (e.g., WhatsApp/social inbox) 

Justrae lifts AOV by 30% with Skara AI Fashion Agents

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+30%

AOV lift driven by in-chat outfit building and contextual upsells 

2.6×

higher chat-assisted conversion versus non-chat shopping journeys 

82%

of shopper inquiries resolved autonomously by AI agents 

~75

reduction in human-handled support workload

< 4

seconds average response time across web and messaging channels

“Skara didn’t just reduce support load - it changed how customers shop with us. Shoppers stay longer, explore more looks, and get confident about fit and styling. It feels like having our best stylist and support associate available 24/7.” 

Justrae Team

Justrae Team

About Justrae

Justrae is a digital-native fashion brand built for a trend-driven generation. Known for playful Y2K co-ords, bold colors, and elevated everyday
staples, Justrae launches hundreds of new styles every week to keep pace with what’s trending now. 

With a mobile-first audience and a constantly expanding catalog, Justrae needed a shopping experience that felt fast, intuitive, and stylist-led-not static or overwhelming. 

SalesMate
SalesMate
The challenge

When help wasn’t instant,
shoppers quietly dropped off

As the catalog and new drops scaled, shopper curiosity turned into a constant stream of questions-often right before purchase:

  • “Will this fit me?” 
  • “What can I style this with?” 
  • “Is my size still available?” 
  • “Where’s my order?” 

Without instant, context-aware assistance, even high-intent shoppers were left waiting. Delayed responses created hesitation, broke momentum, and caused many customers to abandon the journey before checkout-directly impacting conversion and revenue. 

See the Impact

  • Seasonal spikes overwhelmed the team : During launches and sales, conversation volume often tripled-stretching the support team thin and increasing wait times. 
  • Omnichannel expectations, limited bandwidth : Customers expected instant, personalized help across web chat, WhatsApp, and social channels-something a small team couldn’t sustain manually. 
  • Missed cross-sell & upsell opportunities : Shoppers wanted styling advice and complete-look suggestions, but generic bots and rule-based flows couldn’t deliver contextual, fashion-aware recommendations. 
  • Repetitive questions slowed everything down : Availability checks, size questions, and order-status requests flooded the inbox-delaying high-intent conversations and increasing bounce rates. 
  • Basic chatbots failed fashion nuance : Past bots often misunderstood intent and struggled with queries like “Outfit for a beach wedding,” eroding trust and turning chat into a dead end. 
The solution

How Skara reimagined Justrae’s shopping experience

Justrae partnered with Skara AI Fashion Agents to deliver human-like shopping guidance and support-at scale across the customer journey. 

Skara turned chat into a full-funnel assistant:

Discover

Discover

Style-led product discovery 

Decide

Decide

Fit confidence + product comparisons

Buy

Buy

Outfit building + contextual upsells 

Post-purchase

Post-purchase

Order status, returns, exchanges, and care 

Escalate

Escalate

Seamless human handoff

Omnichannel

Omnichannel

One Brand, Everywhere

1. Discover: Personalized AI Styling (natural language in, products out)

Shoppers can ask the way they naturally speak, for example:

  • “Black satin dress for a cocktail event”
  • “Oversized tees under $120” 
  • “Something similar to the co-ord I saved earlier”

Skara interprets intent and automatically applies key constraints such as occasion, fit preference, budget, fabric, and real-time availability to surface highly relevant results instantly. 

Context-aware discovery (without overwhelming shoppers)

Instead of dumping dozens of products into chat, Skara asks light clarifying questions-like occasion, comfort, weather, and budget-to narrow choices quickly and confidently.  

1. Discover: Personalized AI Styling (natural language in, products out)

2. Decide: Smart size & fit guidance

Fit uncertainty is one of the biggest reasons shoppers hesitate. Skara helps customers feel confident in their selection by using Justrae’s: 

  • Size charts
  • Fit notes
  • Product details
  • Fabric behavior

Skara provides guidance like: 

  • The most likely size recommendation
  • Nuanced fit notes (e.g., “runs small,” “stretchy fabric,” “relaxed fit”) 
  • Quick explanations that reduce guesswork
2. Decide: Smart size & fit guidance

3. Cross-sell and recommend products

Skara actively scans what shoppers add to their cart and recommends complementary products in real time. The moment an item is added, Skara understands the context and suggests what naturally goes with it - like pairing jeans with matching t-shirts or recommending the right accessories to complete an evening gown look. 

Because these suggestions are timely and relevant (not generic upsells), customers are more likely to add them - resulting in a +30% lift in AOV driven by contextual add-ons. 

3. Cross-sell and recommend products

4. PDP-to-checkout assistance (the missing layer on product pages)

Skara acts as the decision layer on product pages by summarizing the most important attributes shoppers care about before they buy - fit, fabric, comfort, usage, and suitability for specific needs. Instead of forcing shoppers to scan long descriptions or reviews, Skara surfaces what matters most in plain language. 

It proactively answers common buying questions such as: 

  • “Will this fit me?”
  • “What’s the difference between these fabric options?”
  • “Is this suitable for humid or summer weather?”
  • “Which option works better for a curvier fit?” 

Shoppers can also ask Skara what they’re looking for - “I want something breathable for daily wear” or “I need a flattering outfit for an evening event” - and Skara instantly confirms whether the product matches that need or suggests a better alternative.

By clarifying decisions at the moment of intent, Skara removes hesitation and keeps shoppers moving smoothly from PDP to checkout-without friction. 

4. PDP-to-checkout assistance (the missing layer on product pages)

5. Automated support with clean human handoff

Skara autonomously handles common requests end-to-end, including: 

  • Order status 
  • Returns & exchanges 
  • Delivery timelines 
  • Care instructions 

When a case is complex or needs policy exceptions, Skara escalates to a human agent with full conversation context-so the team can resolve faster, with less back-and-forth. 

5. Automated support with clean human handoff

6. Omnichannel, on-brand conversations

Justrae deployed Skara across web chat and messaging channels to ensure customers experience the same brand voice, product expertise, and shopping guidance - no matter where the conversation starts.

Whether a shopper is browsing on the website or continuing a conversation on messaging, Skara responds in a tone that feels human, fashion-savvy, and aligned with Justrae’s brand. It understands product context, past interactions, and shopper intent, so conversations don’t restart or feel scripted.

The result is a unified, trustworthy shopping experience across channels - one that builds confidence, reduces friction, and lets customers move seamlessly from discovery to purchase, wherever they choose to shop. 

6. Omnichannel, on-brand conversations
Implementation snapshot

Designed for fast rollout and reliable answers

Justrae launched Skara through a phased deployment focused on speed-to-value:

Grounding sources

Grounding sources

  • Product catalog + PDP data 
  • Size charts + fit notes 
  • Shipping/returns policies 
  • Order tracking + status information 
Key workflows enabled

Key workflows enabled

  • Product discovery and filtering via chat
  • Fit and size guidance rooted in brand-specific content 
  • Order status + returns automation 
  • Human handoff with conversation context 
Reliability & CX safeguards

Reliability & CX safeguards

  • Responses grounded in Justrae’s brand content and policies
  • Clear escalation paths for exceptions and edge cases 
  • Consistent tone and style aligned to brand voice
The impact

Justrae unlocked measurable ROI with Skara AI Fashion Agents

Within weeks, chat evolved from a reactive cost center into a conversion-driving experience. Faster responses, better styling guidance, and automated resolution improved outcomes across revenue, CX, and operations-without increasing headcount. 

Chat became a growth channel-not just support

Chat became a growth channel-not just support

Chat-assisted shopping journeys converted 2.6× higher, turning conversations into one of Justrae’s strongest levers for revenue growth. 

Always-on assistance without scaling the team

Always-on assistance without scaling the team

Skara resolved 82% of inquiries end-to-end, maintaining 24/7 availability during launches, sales, and peak traffic-without expanding support or sales headcount. 

Higher cart values through styling-led recommendations

Higher cart values through styling-led recommendations

Complete-look suggestions and contextual add-ons drove a 30% increase in AOV, helping shoppers build outfits-not just buy items. 

Instant answers replaced long wait times

Instant answers replaced long wait times

Response times dropped from tens of minutes during peak periods to under 4 seconds, preserving shopper momentum and reducing drop-offs. 

Lower operational load, better customer experience

Lower operational load, better customer experience

With a ~75% reduction in human-handled workload, agents focused on complex or high-value conversations, improving resolution quality and speed. 

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