Linen Soft Blazer
AI shopping experience platform
Guide shoppers from discovery to confident purchase.
WardrobeIt is an AI shopping experience platform that guides product discovery, answers product questions, recommends from your catalog, supports fit guidance and virtual try-on, surfaces eligible offers, helps shoppers add to cart, and tracks AI-assisted revenue.
Built for Shopify fashion and visual-commerce brands, the experience stays inside your store and uses your catalog, inventory, pricing, and merchant-approved rules.
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Conversion activity
See how conversations progress into product clicks, cart actions, checkout starts, and completed purchases.
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Shopper intelligence
Understand the questions, preferences, objections, and product needs behind shopper behavior.
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Merchant-controlled experience
Keep recommendations, answers, offers, and actions aligned with approved catalog and store rules.
One platform, two connected experiences
Guide shoppers. Give merchants control.
The shopper experience and merchant experience work through one connected system, so every assisted interaction stays aligned with catalog availability, policies, offers, and brand standards.
Shopper experience
A guided way to discover, decide, try, and buy
WardrobeIt understands what shoppers are looking for, recommends relevant products, answers buying questions, supports virtual try-on, and helps move selected products into the cart.
- Ask by occasion, budget, size, color, fit, or style
- Get recommendations from the merchant’s own catalog
- Ask product and store questions before buying
- Compare available products
- Use virtual try-on for eligible products
- Select variants and continue to Shopify checkout
Merchant experience
Control the experience behind every interaction
The merchant portal gives ecommerce teams one place to configure WardrobeIt, manage store knowledge, control recommendations, review shopper activity, and track revenue outcomes.
- Connect Shopify and sync catalog data
- Configure assistant behavior and brand tone
- Control product recommendation rules
- Set assistant-only offer rules
- Review customer sessions and conversion activity
- Manage plans, usage, and billing
The WardrobeIt product loop
Discover → Decide → Try-On → Offer → Add to Cart → Track Revenue
WardrobeIt connects the ecommerce buying journey into one guided flow.
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Discover
Shoppers describe what they need in ordinary language.
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Decide
Relevant products appear with reasons they match.
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Try-On
Eligible products can be previewed inside the assistant flow.
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Offer
Approved offers support high-intent buying moments.
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Add to Cart
Variants are selected before native checkout.
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Track Revenue
Merchants connect assisted activity to outcomes.
- “I need a dress for an outdoor wedding.”
- “Show me black shoes under $120.”
- “Find something relaxed but premium.”
- “I want a gift under $75.”
AI product discovery
Understand shopper intent, not just search keywords
Shoppers can describe what they want by occasion, style, color, size, fit, budget, material, delivery need, or an item they already like. WardrobeIt turns that intent into relevant catalog recommendations.
Conversational discovery
“I need a lightweight neutral dress for a summer work event under $180.”
WardrobeIt interprets the request, checks the merchant catalog, and asks only the clarification needed to improve the match.
Catalog-only recommendations
WardrobeIt recommends products from the merchant’s approved catalog using synced products, variants, inventory, pricing, product details, and merchant rules.
Product comparison that supports a decision
WardrobeIt helps shoppers compare meaningful buying differences instead of opening multiple tabs and losing context.
The confidence layer
Build buying confidence with Q&A, fit guidance, and virtual try-on
WardrobeIt keeps product answers, size and fit guidance, and virtual try-on inside one guided journey so shoppers can resolve doubt without leaving the store.
Answer the questions behind hesitation
Shoppers can ask about sizing, materials, delivery, returns, and product details using the merchant’s approved catalog and store knowledge.
Is this true to size?
This dress has a relaxed fit and is listed as true to size. Medium should provide the regular silhouette you selected.
Can this arrive before Friday?
Medium in your selected color is currently available for delivery before Friday to your location.
What material is it made from?
The product uses the merchant-synced fabric details, care notes, and finish description shown on the product record.
Guide the size decision with clearer fit context
Fit guidance uses product measurements, silhouette notes, and the shopper’s stated preferences so size advice stays tied to the catalog.
How should this fit?
The silhouette is designed to skim the body with ease through the waist and hip. Size up only for a looser drape.
What if I am between sizes?
Based on the selected relaxed preference, Medium remains the best starting point for most shoppers between sizes.
Does the fabric stretch?
This fabric has minimal stretch. Fit guidance uses the garment’s measured dimensions rather than stretch recovery.
Preview eligible products before checkout
Virtual try-on stays inside the shopping assistant so shoppers can judge look and color, then continue to cart actions without leaving the journey.
What does try-on show?
Eligible products can be previewed so shoppers can judge color, length, and overall look before adding to cart.
Is try-on required?
No. Shoppers can still ask questions, get fit guidance, and browse catalog recommendations without using try-on.
Where does it appear?
Try-on stays inside the store experience, next to product details and the shopping assistant conversation.
- 1. Start Select “Try It On” for an eligible product.
- 2. Upload Use QR on desktop or camera upload on mobile.
- 3. Continue Retry, change color, add to cart, or keep shopping.
Offers, cart actions, and checkout support
Move shoppers from interest to cart
Once shoppers find the right product, WardrobeIt helps confirm variants, apply approved offers, add products to cart, and continue toward native checkout.
01 · Offer
Assistant-only offers
Merchants define which offers appear, when they appear, and which shoppers or products qualify.
02 · Cart
Add-to-cart support
Shoppers select size, color, and quantity, review the cart details, and continue without losing the assistant context.
03 · Checkout
Checkout confidence
WardrobeIt resolves last-minute concerns and then sends the shopper into the store’s native checkout flow.
Merchant control
Keep every AI shopping interaction under merchant control
WardrobeIt gives merchants control over what the assistant knows, recommends, says, offers, and does.
Brand and knowledge
Configure the assistant around your store
Set the assistant name, brand tone, welcome message, policy knowledge, product information sources, size-chart knowledge, and approved answers.
Recommendation rules
Prioritize what supports your strategy
Prioritize best sellers, new arrivals, in-stock products, or selected collections. Exclude out-of-stock products, weak product data, or products not eligible for try-on.
Page-aware behavior
Adapt the assistant to the buying moment
Homepage starts discovery. Collection pages narrow options. Product pages remove hesitation. Cart pages support checkout confidence.
Revenue tracking and shopper intelligence
See what happens behind every assisted journey
WardrobeIt connects guided shopping activity to revenue outcomes and shopper intelligence, so merchants can measure assisted journeys and improve the store with clearer product and merchandising signals.
- AI-assisted revenue $186,540
- Assisted orders 1,243
- Chat-to-cart 29.78%
- Try-on revenue $64,380
- Coupon revenue $28,945
Example dashboard figures for layout only — not claimed results.
V1 dashboard metrics
Measure the core assisted buying journey.
- AI-assisted revenue and orders
- Chat-to-cart and try-on-to-cart activity
- Coupon-driven revenue
- Assistant average order value
- Basic customer sessions
Shopper intelligence
Understand the questions and preferences behind behavior.
- Top shopper questions
- Most requested products and variants
- Most tried-on products
- Size and fit confusion
- Out-of-stock demand
Product improvement signals
Turn recurring friction into clear store improvements.
- Missing size notes
- Unclear material information
- Weak product descriptions
- Repeated return concerns
- High-interest products needing stronger content
Shopify-first setup
Launch guided shopping without rebuilding your store
WardrobeIt is built Shopify-first for ecommerce merchants who want a faster path from setup to shopper impact.
- Shopify store and catalog connection
- Product, variant, size, color, and inventory sync
- Floating page-aware storefront assistant
- Product discovery, Q&A, and recommendations
- Size guidance and virtual try-on
- Assistant-only coupon and add to cart
- Native Shopify checkout redirect
- Basic sessions, dashboard, plans, and billing
Available at launch
Core Shopify experience
- Shopify connection and catalog sync
- Storefront assistant with discovery and Q&A
- Virtual try-on, offers, and add to cart
- Native checkout handoff and basic revenue tracking
Next expansion
More conversion and intelligence
- Deeper product and shopper intelligence
- Stronger conversion nudges around cart and checkout
- Richer session analytics and journey reporting
- Expanded offer and merchandising controls
Later roadmap
Marketing and enterprise scale
- WooCommerce and broader platform support
- GA4, paid-channel, CRM, and email sync
- Custom API and multi-store dashboard
- Advanced permissions and enterprise reporting
Frequently asked questions
Understand how WardrobeIt works across your store
Clear answers for ecommerce teams evaluating the platform, its Shopify-first setup, and the connected shopper-to-revenue journey.
WardrobeIt is an AI shopping experience platform for ecommerce stores. It helps shoppers discover products, ask product questions, compare options, use virtual try-on, receive eligible offers, add products to cart, and buy with more confidence.
WardrobeIt connects with the merchant’s ecommerce store, syncs approved product and catalog data, and powers a storefront assistant that guides shoppers through discovery, product questions, virtual try-on, offers, cart actions, and checkout support.
Yes. WardrobeIt is built Shopify-first. The launch scope focuses on Shopify connection, catalog sync, product and inventory sync, the storefront assistant, add-to-cart support, native Shopify checkout redirect, and basic revenue tracking.
No. WardrobeIt recommends products from the merchant’s approved catalog and uses synced product, variant, inventory, pricing, and policy data.
Yes. WardrobeIt can help shoppers choose available variants, add products to cart, apply eligible offers, and continue to the store’s native checkout flow.
Shoppers can use a guided photo flow to preview eligible products. Desktop shoppers can use a QR flow, while mobile shoppers can upload or capture a photo directly. The result appears inside the assistant with actions to retry, change, add to cart, or continue.
WardrobeIt tracks conversations, recommendations, product clicks, try-on activity, offer usage, add-to-cart events, checkout starts, completed purchases, and assisted order value. The merchant dashboard connects these actions to revenue outcomes.
WardrobeIt is built first for Shopify fashion and visual-commerce brands because product discovery, fit, styling, and confidence strongly influence buying decisions in these categories.
See WardrobeIt across your store
Give shoppers a more useful way to discover, compare, try, and buy.
Give your ecommerce team the controls, analytics, and shopper intelligence needed to improve the decisions that drive revenue.
Connect your catalog. Configure your assistant. Guide more shoppers from product discovery to purchase.