Sage Satin Midi Dress
Why WardrobeIt
Turn ecommerce intent into confident purchase decisions.
WardrobeIt helps ecommerce merchants understand what shoppers want, guide them toward suitable products, resolve buying hesitation, and move more customer journeys from product discovery to purchase.
Semi-formal summer wedding guest look under $250 — elegant, understated, size M.
Three in-stock matches from your approved catalog, ranked by occasion fit and budget.
Champagne Pleated Dress
Soft Linen Set
Recommended action
Compare three suitable looks
Primary objection: unsure about fit
Shopper intent detected
LIVEOccasion
Summer wedding
Style
Elegant, understated
Budget
Under $250
Fit concern
Needs confidence
Why WardrobeIt is different
Support chat answers questions. WardrobeIt guides buying decisions.
It connects product discovery, comparison, product knowledge, virtual try-on, complete looks, cart actions, and merchant intelligence across the full ecommerce journey.
Built around shopper intent
Better recommendations begin with understanding the decision.
WardrobeIt learns what the shopper wants, why they want it, which constraints matter, and what may prevent the purchase before presenting products.
Live shopper example
Step 1 · Shopping purpose
Purpose
Wedding guest outfit
I need a semi-formal outfit for an outdoor summer wedding.
Got it — wedding guest with a semi-formal dress code. Is this for daytime or evening?
Purpose
Wedding guest outfit
Preferences
Minimal, sage, lightweight
Commercial context
Full look under $300
Size and fit
Medium, relaxed
Urgency
Required before Friday
Next action
Show three eligible looks
Catalog-only recommendations
AI that recommends products your store actually sells.
WardrobeIt stays inside approved merchant catalog boundaries — using connected product, variant, price, inventory, policy, and store information only.
Inside your catalog
What WardrobeIt does
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Uses approved products and collections
Recommend from the merchant’s own catalog and permitted markets — never outside your inventory.
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Prioritizes available inventory
Respect current variants, inventory thresholds, and approved alternatives before suggesting a match.
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Explains recommendation reasons
Show why a product fits — size, budget, occasion, availability, and fit notes from merchant data.
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Qualifies uncertain answers
Ask a clarifying question or route to human support when approved information is not sufficient.
Illustrative catalog matches
Example product rows — not live catalog data.
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Strong match
Sage Satin Midi Dress
Available · size M · within stated budget
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Alternative
Champagne Pleated Dress
Alternative silhouette · delivery eligible
Merchant boundaries
What WardrobeIt does not do
Merchant control protects the customer relationship and prevents unsupported actions.
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No competitor or open-web products
The assistant does not redirect shopper intent to unrelated stores, marketplaces, or products outside your catalog.
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No invented prices, claims, or policies
Materials, inventory, offers, delivery promises, and returns stay grounded in approved merchant data — not generated guesses.
Your products. Your pricing. Your availability. Your customer relationship.
Built for fashion and visual commerce
Built around the complexity of how fashion shoppers decide.
WardrobeIt combines style, occasion, color, fit, product compatibility, visual confidence, budget, and complete-look logic inside one guided experience.
9:41
Try-On Result
This looks great for your event. Want me to apply your approved offer and add size M to cart?
Approved offer applied Add to CartTry-on becomes a purchase step.
Compare, choose a variant, apply an approved offer, and add to cart.
Style and occasion intelligence
Understand polished, relaxed, modest, seasonal, formal, minimal, or statement preferences in context.
Complete-look recommendations
Coordinate products around style, color, budget, availability, and merchant merchandising rules.
Size, fit, and visual confidence
Use approved size charts, fit notes, product attributes, available variants, virtual try-on, and comparison guidance to reduce uncertainty.
Outfit coordination
Pair apparel, footwear, bags, jewelry, and accessories using merchant merchandising rules.
Availability-aware bundles
Suggest complete looks from products and variants that are currently in stock.
Budget-aware styling
Keep full-look suggestions inside the shopper’s stated budget where the approved catalog allows.
Approved size guidance
Reference connected size charts, fit notes, and product attributes.
Variant availability
Confirm which sizes and variants are currently available before recommending.
Honest fit limitations
Ask a question or note uncertainty when approved fit information is insufficient.
Eligible product preview
Let shoppers preview products the merchant has enabled for Virtual Try-On.
Compare and return
Compare options and return to the same conversation to choose a product.
Confidence connected to cart
Connect visual confidence to a supported cart action inside the buying flow.
Side-by-side clarity
Compare price, fit, material, color, availability, and occasion suitability.
Reasoned differences
Explain why each option may suit the shopper instead of listing another carousel.
Grounded attributes
Comparisons use approved product data, not invented claims.
Revenue outcomes
Every capability supports a measurable ecommerce goal.
WardrobeIt connects shopper guidance to the commercial moments that influence conversion, order value, paid-traffic performance, and cart completion.
Merchant control
You decide how WardrobeIt represents and recommends your products.
Merchants control the language, knowledge, products, recommendation rules, actions, offers, and boundaries used across every shopper interaction.
AI Assistant Control Center
Maison Élégance · Merchant workspace
Assistant identity
NameMaison Stylist
Welcome messageWelcome. I can help you find the right look.
Modes and actions
SalesSupportStylistCart actions
Guardrails
Allowed
SizingDeliveryApproved offersBlocked
Competitor brandsMedical adviceOffer and margin limits
Max discount12%
Min margin38%
Catalog scopeApproved only
Live shopper preview
9:41
I can help you find a look for your occasion from our approved catalog.
Approved offer eligible Show suitable optionsEvery shopper response stays inside your boundaries.
Catalog scope, offers, blocked topics, and permitted actions apply before shoppers see a reply.
Brand voice and approved terminology
Set tone, personality, response length, market language, and prohibited wording.
Knowledge and policies
Use product pages, size guides, care content, shipping, returns, FAQs, and merchant-approved answers.
Product and recommendation rules
Prioritize collections, exclude products, set alternatives, inventory thresholds, and complete-look relationships.
Offer and margin controls
Define eligibility, maximum discount, minimum margin, frequency, duration, and market restrictions.
Approved product knowledge
Ground answers in connected product pages, attributes, care guidance, and size charts.
Store policies
Control shipping, returns, delivery, and store-policy answers the assistant may use.
FAQ and approved answers
Publish merchant-approved responses for recurring shopper questions.
Uncertainty handling
Require clarification or human handoff when approved information is insufficient.
Catalog boundaries
Recommend only from the merchant’s approved catalog and permitted markets.
Exclusions and priorities
Exclude products, prioritize collections, and define alternative paths.
Inventory thresholds
Respect current variants, stock levels, and approved substitutes.
Complete-look relationships
Define which products may be coordinated into a complete look.
Eligibility rules
Decide who can receive an offer and under which journey conditions.
Margin protection
Set maximum discount and minimum margin before an offer can be shown.
Frequency and duration
Control how often and how long an approved offer may appear.
Market restrictions
Limit offers to approved markets, currencies, and channels.
Blocked topics
Prevent the assistant from discussing competitor brands, medical advice, or other blocked subjects.
Human handoff
Route sensitive or unresolved issues to a supported merchant support path.
Allowed actions
Permit only cart, checkout, try-on, and support actions the merchant has enabled.
Grounded claims only
Block invented prices, policies, inventory promises, and unsupported product claims.
One connected platform
One experience for shoppers. One operating system for merchants.
The customer-facing assistant and merchant-facing portal stay connected through catalog data, policies, permissions, actions, and outcome measurement.
Shopper experience
A guided way to discover and buy.
Conversational discovery, relevant recommendations, product comparison, complete looks, size guidance, virtual try-on, Q&A, variants, cart actions, and handoff stay inside the same context.
- Ask
- Understand
- Discover
- Compare
- Experience
- Select
- Add to Cart
I found three dresses that match your event, size, preferred palette, and delivery date.
Merchant experience
Configure, measure, learn, and improve.
Connect the store, control knowledge and actions, review assisted outcomes, understand shopper objections, identify product demand, and improve the journey.
- Connect
- Configure
- Launch
- Measure
- Learn
- Improve
Revenue
Assisted outcomes
Connect qualifying interactions with cart activity and completed purchases.
Demand
What shoppers want
See requested styles, sizes, colors, and unmet catalog demand.
Objections
Why shoppers hesitate
Surface fit, price, delivery, and availability concerns in context.
Merchandising
What to improve next
Identify missing attributes, knowledge gaps, and product opportunities.
Example product recommendations — not live catalog data.
Revenue Overview
Assisted revenue
Connected order valueAssisted orders
Qualifying purchasesChat-to-cart
Assisted progressionObjections
Hesitation signalsAssisted revenue trend
Assisted journey stages
Outcome mix
- Discovery
- Q&A
- Try-On
- Cart
Journey signals
- Wedding guest look · High interest
- Fit clarification · Objection
- Complete look · Cart started
Commercial intelligence
Understand what shoppers want and why they do not buy.
Traditional analytics show where a shopper left. WardrobeIt helps reveal the intent, question, preference, or objection behind the behavior.
Shopper objections
Size, fit, price, material, delivery, returns, suitability, styling, and availability.
Product demand gaps
Requested products, variants, attributes, sizes, colors, styles, and categories.
Missing information
Product and policy questions the existing site does not answer clearly.
Merchandising opportunities
Strong relationships, bundles, comparison content, and visibility improvements.
Trust and responsible control
Useful enough to guide complex purchases. Controlled enough to represent your store.
WardrobeIt combines merchant boundaries, privacy controls, confidence-aware responses, traceable information, and operational safeguards.
Catalog boundaries
Approved products, collections, markets, availability, inventory, and product rules.
Confidence-aware answers
Clarify, qualify, avoid unsupported claims, or transfer when approved information is incomplete.
Privacy controls
Manage user access, connected systems, retention, deletion processes, and shopper information.
Controlled actions
Recommendations, offers, cart actions, lead capture, handoff, and support follow merchant permissions.
Traceable information
Connect answers and recommendations to approved product, catalog, policy, or knowledge sources.
Frequently asked questions
Why ecommerce merchants choose WardrobeIt
The decision comes down to connected shopper guidance, merchant control, and measurable commercial intelligence.
Why should ecommerce merchants choose WardrobeIt?
WardrobeIt combines shopper guidance, catalog-only recommendations, fashion intelligence, virtual try-on, cart actions, merchant control, analytics, and AI revenue intelligence inside one platform.
How is WardrobeIt different from a basic ecommerce chat tool?
A basic tool usually answers support questions. WardrobeIt also understands intent, discovers and compares products, builds complete looks, supports try-on, resolves hesitation, adds to cart, and tracks outcomes.
Does WardrobeIt recommend competitor products?
No. It recommends products from the merchant’s approved catalog using connected product, variant, price, inventory, and store information.
Can merchants control the AI assistant?
Yes. Merchants control brand voice, knowledge, products, recommendations, offers, permissions, shopper-facing behavior, and AI guardrails.
How does WardrobeIt measure revenue impact?
It can track conversations, recommendations, clicks, comparisons, try-ons, cart actions, checkout activity, purchases, assisted revenue, and assisted order value through connected systems. Assisted revenue reflects qualifying interactions under the merchant’s attribution rules and is not automatically incremental revenue.
How does WardrobeIt protect shopper data?
WardrobeIt uses privacy controls, secure access, permissions, integration safeguards, validation, moderation, and merchant-defined retention and deletion processes.
Turn intent into revenue
Give shoppers the confidence to buy and your team the intelligence to improve.
Connect your store, synchronize your approved catalog, configure merchant rules, launch the AI shopping assistant, and track assisted shopper and revenue outcomes.
- Connect your ecommerce store
- Synchronize your approved catalog
- Configure merchant rules and guardrails
- Launch across desktop and mobile
- Measure shopper and revenue outcomes