Satin Slip Dress
AI-Powered Shopping Assistant
An AI shopping assistant that helps shoppers decide.
Guide ecommerce shoppers from product discovery to confident purchase. WardrobeIt understands intent, recommends from your approved catalog, answers buying questions, supports virtual try-on, and connects the journey with cart actions and measurable outcomes.
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01
Product Discovery
Natural conversation instead of filter fatigue.
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02
Product Confidence
Compare, ask, and choose the right variant.
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03
Virtual Try-On
Preview eligible products inside the journey.
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04
Cart Action
Move selected products from guidance to cart.
See the Assistant in Action
One assistant. Different response for every shopping need.
WardrobeIt adapts to the shopper’s intent, current page, product context, budget, preferences, and stage in the buying journey.
Occasion Discovery
Help shoppers shop by event, style, and budget.
WardrobeIt turns a natural request into structured shopping intent, then narrows the merchant’s catalog to suitable, available options.
I need coordinated separates for an outdoor work event. Keep the full look under $220.
WardrobeIt I found available products in beige, cream, and soft green. I can build two complete options and explain why each works.
OccasionStyleColorBudgetInventory
Shopper Intent Intelligence
Understand the buying decision before recommending products.
WardrobeIt identifies the outcome the shopper wants, the constraints that matter, the preferences shaping the decision, and the concerns that may prevent a purchase.
Occasion
Why they are buying
Outdoor wedding
Original Shopper Request
“I need a lightweight sage dress for an outdoor wedding. I wear medium, prefer a relaxed fit, and need it before Friday.”
Style
Preferred aesthetic
Elegant · minimal
Budget
Financial expectation
Under $200
Color
Preferred or excluded
Sage · champagne
Size & fit
Variant preference
Medium · relaxed
Urgency
Delivery requirement
Before Friday
Preferences
Product priorities
Lightweight · midi
Buying concern
Potential blocker
Fit uncertainty
Category
Wedding guest dress
Availability
In stock only
Next best action
Compare 3 products
Confidence gap
Fit and delivery
Conversational Product Discovery
Replace complicated search journeys with natural conversation.
Traditional ecommerce search expects shoppers to know the exact keyword and filter combination. WardrobeIt lets them describe the outcome they want in ordinary language.
Traditional Search & Filters
The shopper must translate a real need into a rigid query.
Exact terminology, repeated filter changes, and hidden context make large catalogs feel overwhelming.
What gets lost
Occasion, preferred fit, delivery need, excluded colors, and the shopper’s real reason for buying.
WardrobeIt Conversation
The shopper explains the complete need once.
WardrobeIt captures intent, asks only useful clarifying questions, and presents relevant catalog products with clear recommendation reasons.
Catalog-Only Recommendations
Recommend only products the merchant actually sells.
WardrobeIt keeps discovery inside the merchant’s approved catalog using current product, variant, price, inventory, collection, and store information.
Your catalog stays at the center of every recommendation.
No open-web results. No competitor inventory. No unauthorized marketplace products.
Inventory-aware suggestions
Prioritize products shoppers can purchase. When the preferred option is unavailable, recommend an approved alternative from the same store.
No invented product claims.
WardrobeIt should not invent specifications, materials, ingredients, delivery promises, policies, discounts, variants, or availability.
- Current product and variant data
- Merchant-approved product facts
- Qualified response when data is missing
Product Evaluation & Buying Confidence
Help shoppers understand products before they buy.
Finding a relevant product is only the first step. WardrobeIt helps shoppers compare options, resolve uncertainty, choose a size, and keep the journey moving.
Organize the meaningful differences across price, fit, material, color, silhouette, delivery, care, and occasion suitability.
Use merchant size charts, fit notes, and valid variants so shoppers can choose a size with clearer context. Exact physical fit is not guaranteed.
Answer buying questions from approved product details, care guidance, and store policies—without inventing unsupported claims.
Surface merchant-connected product evidence when available, and clearly qualify guidance when review or detail data is incomplete.
Suggest approved catalog alternatives when a preferred item, size, color, or price point does not meet the shopper’s constraints.
Virtual Try-On
Let shoppers preview eligible products with more visual confidence.
WardrobeIt keeps try-on inside the shopping journey for merchant-enabled, technically eligible products—so shoppers can judge look and color, then continue without leaving the store experience.
Eligible Products Only
Offer try-on only for merchant-enabled products that are technically eligible—never as a universal garment promise.
Guided Photo Flow
Support desktop QR handoff and mobile upload or capture so shoppers can start try-on in the way that fits their device.
In-Journey Preview
Show the try-on result inside the assistant next to product context, so discovery and confidence stay connected.
Retry and Change
Let shoppers retry, switch color, or change the eligible product before deciding on the next shopping action.
Continue to Cart
Move from preview to valid variant confirmation and cart action without restarting the buying journey.
Budget-Based Combinations
Build a complete purchase within the shopper’s stated total budget.
From Recommendation to Cart
Turn product interest into a clear purchase action.
WardrobeIt keeps product guidance connected with variant selection, complementary products, eligible offers, cart confirmation, and the merchant’s existing checkout journey.
Step 01
Recommend Product
Image, price, variants, and clear reason for the match.
Step 02
Select Variant
Confirm size, color, quantity, fit, and valid product variant.
Step 03
Add Relevant Products
Suggest complementary items that support the shopper’s intent.
Step 04
Apply Approved Offer
Present incentives only when merchant-defined eligibility applies.
Step 05
Add to Cart
Add one product, selected items, a complete look, or approved bundle.
Step 06
Continue to Checkout
Keep the shopper connected to the merchant’s cart and checkout.
Merchant Control Behind Every Conversation
Control what the assistant knows, recommends, says, and does.
WardrobeIt gives ecommerce teams control over approved knowledge, communication style, product priorities, recommendation logic, offers, permissions, and AI boundaries.
Assistant Outcomes
Measure meaningful shopping actions, not conversation volume alone.
WardrobeIt connects shopper conversations with product engagement, cart activity, purchase outcomes, and commercial intelligence using transparent measurement definitions.
Assisted Revenue
Review purchase revenue connected to supported assistant journeys with transparent attribution definitions.
Measured after supported connectionChat-to-Cart Rate
Track how often supported conversations result in at least one valid cart addition.
Conversation to cartRecommendation Engagement
Observe impressions, selections, and follow-through on catalog-backed recommendations.
Catalog-backed matchesTry-On-to-Cart
Connect eligible try-on sessions with later cart actions where the journey remains supported.
Eligible products onlyAssisted Order Value
Keep assisted cart value, completed order value, and attributed revenue as distinct reported measures.
Distinct value definitionsShopper Objections
Surface recurring fit, price, delivery, and availability concerns for merchant learning—without inventing claims.
Commercial intelligenceFrequently Asked Questions
Questions merchants ask before choosing an AI shopping assistant.
Clear answers about product scope, catalog boundaries, controls, accuracy, Shopify, and measurement.
An AI-powered shopping assistant helps customers describe what they need, discover suitable products, compare options, receive answers, and take purchase actions through a conversational experience. WardrobeIt also gives merchants product controls, analytics, integrations, and revenue intelligence behind that experience.
WardrobeIt connects to the merchant’s store, syncs approved catalog data, and powers a storefront assistant that understands shopper intent, recommends products from that catalog, answers buying questions, supports eligible virtual try-on, and connects guidance with cart actions and the merchant’s checkout.
Yes. WardrobeIt is designed to reduce decision friction by helping shoppers find suitable products, resolve doubts, preview eligible items, choose valid variants, and continue into cart and checkout—while merchants track assisted actions with transparent measurement definitions.
Yes. WardrobeIt is built Shopify-first. The V1 focus includes Shopify connection, catalog sync, product and inventory sync, the storefront assistant, add-to-cart support, native 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. There are no open-web results, competitor inventory, or unauthorized marketplace products.
Yes. Merchants control approved product knowledge, brand voice, recommendation rules, product priorities, offer permissions, and AI guardrails—so the assistant knows, recommends, says, and does only what the store allows.
WardrobeIt is built to stay inside merchant-approved catalog and knowledge boundaries. It should not invent specifications, prices, inventory, discounts, or policies. When data is missing or uncertain, responses should be qualified rather than guessed.
Supported reporting connects conversations with product engagement, cart activity, and purchase outcomes—such as assisted revenue, chat-to-cart rate, recommendation engagement, try-on-to-cart, assisted order value, and shopper objections—using transparent measurement definitions rather than conversation volume alone.
Launch a more useful shopping experience
Give shoppers the guidance needed to make a confident decision.
Connect your catalog. Configure your rules. Launch your AI-powered shopping assistant.
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Understand intent
Occasion, budget, size, style, and concerns
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Recommend products
Approved catalog and variants only
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Build confidence
Comparison, Q&A, fit, and try-on
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Support purchase
Variant selection, cart, and outcomes