Draped Midi Dress
$168
Try It On
Ecommerce AI Solutions
Turn shopping friction into confident buying decisions.
WardrobeIt helps fashion and visual-commerce brands improve product discovery, increase shopper confidence, recover more buying journeys, grow order value, and track AI-assisted revenue through one connected platform.
Every interaction stays grounded in your catalog, inventory, brand rules, store policies, offer logic, and commercial priorities.
Shopping Assistant
Guided discovery · merchant catalog only
I need something elegant for a summer wedding. Neutral colors, under $200.
I found available options that match your occasion, style, color preference, and budget.
Draped Midi Dress
$168
Try It On
Soirée Satin
$128
Compare
Sculpted Bag
$159
Complete Look
Your fit, style & sizes are saved for a better experience.
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Conversion activity
Follow journey progression
Conversation to click, cart, checkout, and purchase.
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Recommendation performance
See what shoppers engage with
Open, compare, try on, save, and add-to-cart behavior.
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Shopper intelligence
Understand the why
Preferences, objections, unanswered questions, and demand signals.
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Merchant control
Keep commerce rules approved
Catalogs, offers, actions, answers, and brand guardrails.
01 · Ecommerce problems WardrobeIt solves
Solve the shopping friction that stops ecommerce buyers.
Most visitors do not leave because a store lacks products. They leave because they cannot find the right option, compare clearly, evaluate fit, get an immediate answer, or feel confident enough to purchase.
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01
Poor Product Discovery
The problem
Shoppers know the occasion, style, budget, or size they need, but not the exact product name or filter.
Improve Product Discovery →How WardrobeIt solves it
Natural-language intent becomes relevant recommendations from the merchant’s own catalog.
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02
Buying Hesitation
The problem
Shoppers delay decisions when product differences and suitability are unclear.
Reduce Buying Hesitation →How WardrobeIt solves it
Explain why each product matches, compare meaningful differences, and present useful alternatives.
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03
Size & Fit Uncertainty
The problem
Fashion shoppers may like a product but remain unsure about fit, silhouette, material, or appearance.
Launch Virtual Try-On →How WardrobeIt solves it
Combine approved sizing information, fit notes, customer feedback, and virtual try-on.
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04
Unanswered Questions
The problem
Materials, delivery, care, returns, sizing, and availability can interrupt the purchase journey.
Answer Questions at Scale →How WardrobeIt solves it
Give immediate answers grounded in approved product and store knowledge.
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05
Cart Abandonment
The problem
A final unresolved concern can stop an otherwise qualified shopper at the most fragile moment.
Reduce Cart Abandonment →How WardrobeIt solves it
Respond with product guidance, delivery information, fit support, alternatives, offers, or human help.
02 · Solution architecture
One platform for discovery, conversion, control, and revenue intelligence.
Bring the shopper experience and merchant operating system together instead of stacking disconnected apps across every stage of the ecommerce journey.
Grow ecommerce revenue
Guide the decisions that turn traffic into buying journeys.
WardrobeIt connects product discovery, recommendation logic, virtual try-on, approved incentives, cart actions, lead capture, analytics, and merchant intelligence in one controlled system.
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Increase Ecommerce Conversion
Guide discovery, comparison, confidence, and cart action.
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Increase Average Order Value
Build coordinated outfits, bundles, accessories, and useful add-ons.
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Use Smart Offers
Present approved incentives when eligibility and merchant rules align.
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Improve Paid Traffic ROI
Guide campaign visitors with landing-page and shopper context.
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Capture More Leads
Use saved carts, looks, try-on activity, and high-intent moments.
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Track AI-Assisted Outcomes
Connect interactions, cart actions, purchases, and revenue.
Build shopper confidence
Help shoppers evaluate products before they commit to buy.
Reduce hesitation with approved product answers, fit guidance, comparisons, and virtual try-on — always grounded in the merchant’s catalog and store policies.
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Reduce Buying Hesitation
Explain why each option matches and compare meaningful differences.
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Answer Product Questions
Respond instantly using approved product and store knowledge.
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Launch Virtual Try-On
Let shoppers preview eligible products before they add to cart.
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Improve Product Discovery
Turn occasion, style, size, and budget intent into catalog matches.
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Support Size & Fit
Combine sizing notes, feedback, and visual preview in one flow.
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Stay Catalog-Only
Recommend only merchant-approved inventory and variants.
Improve paid traffic ROI
Turn campaign visitors into guided buying journeys.
Meet paid and organic traffic with catalog-grounded discovery, confidence tools, and conversion actions so more sessions progress toward checkout.
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Improve Paid Traffic ROI
Guide campaign visitors with landing-page and shopper context.
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Increase Ecommerce Conversion
Move visitors from intent to cart with clearer next steps.
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Improve Product Discovery
Match campaign messaging to relevant catalog options quickly.
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Reduce Buying Hesitation
Answer fit and product questions before bounce risk rises.
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Reduce Cart Abandonment
Resolve late-stage concerns with guidance, offers, or handoff.
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Track Assistant Outcomes
Connect traffic sources to assisted carts, checkouts, and purchases.
Keep commerce rules approved
Run guided shopping inside merchant-approved guardrails.
Control catalogs, recommendation rules, offers, answers, and actions from one merchant operating system so every shopper journey stays on-brand and commercially sound.
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Sell Only Your Inventory
Recommend only approved catalog products and available variants.
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Use Smart Offers
Surface incentives only when eligibility and merchant rules align.
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Configure Assistant Actions
Approve cart, try-on, handoff, and recommendation behaviors.
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Ground Every Answer
Keep Q&A tied to synced product data and store policies.
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Margin-Aware Offers
Align incentives with commercial priorities as rules allow.
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Brand Guardrails
Keep tone, claims, and shopping actions merchant-approved.
Track AI-assisted outcomes
Connect shopper journeys to measurable ecommerce results.
See conversations, recommendations, try-ons, offers, carts, checkouts, and assisted purchases in one view — so teams can improve the decisions that drive revenue.
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Track Assistant Outcomes
Follow progression from conversation to click, cart, and purchase.
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AI Revenue Intelligence
Connect guided shopping activity to assisted order value.
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Recommendation Performance
See open, compare, try-on, save, and add-to-cart behavior.
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Shopper Intelligence
Surface preferences, objections, and unanswered questions.
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Demand Signals
Reveal product gaps, content issues, and channel patterns.
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Improve Continuously
Use journey data to refine rules, answers, and offers over time.
03 · Guided shopper journey
One conversation from question to cart.
WardrobeIt connects conversational AI, catalog recommendations, fashion intelligence, virtual try-on, complete-look building, approved offers, and cart actions inside one continuous shopping journey.
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Step 01
Ask
The shopper describes what they need in ordinary language.
“Elegant summer wedding outfit, understated, under $200.”
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Step 02
Discover
WardrobeIt searches approved inventory and surfaces suitable products.
Occasion, budget, size, color, fit, delivery, and context.
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Step 03
Compare
Meaningful differences make the decision easier.
Price, fit, silhouette, material, care, and availability.
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Step 04
Try On
Eligible products can be previewed without leaving the journey.
Compare looks, change color, save, retry, or continue.
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Step 05
Complete the Look
Coordinate complementary items from the merchant’s inventory.
Bags, footwear, jewelry, outerwear, and accessories.
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Step 06
Add to Cart
Confirm variants and move the selected product or look toward checkout.
One guided journey, no disconnected tools or restarts.
Try-on result to conversion
Shopping Assistant
Try-on complete · ready for cart
Try-on preview
Here’s your try-on with the relaxed linen blazer. You can change color, complete the look, or add it to cart.
Relaxed Linen Blazer
Merchant catalog · $125 · Eligible for try-on
Complete the Look
Soft Knit
$68
Leather Bag
$159
Sandal
$72
04 · Built for fashion ecommerce
Built around how people actually shop for fashion.
Fashion buying decisions involve occasion, personal style, color, silhouette, size, fit, compatibility, delivery timing, and how products work together.
Combine the signals that shape a confident fashion decision.
WardrobeIt uses merchant-approved product knowledge and shopper context to make recommendations more relevant, explainable, and actionable.
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01
Occasion Intelligence
Wedding, work, holiday, travel, evening, gifting, seasonal, and everyday events.
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02
Style & Color Intelligence
Minimal, elegant, modern, modest, boho, vintage-inspired, contemporary, and more.
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03
Size & Fit Guidance
Size charts, product attributes, fit notes, customer feedback, and available variants.
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04
Budget & Delivery Awareness
Respect product price, budget, complete-the-look limits, and approved delivery information.
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05
Product Compatibility
Coordinate products across style, color, occasion, availability, and merchant rules.
05 · Business outcomes
Turn more ecommerce traffic into confident buying decisions.
Make better use of existing traffic by guiding the choices that influence conversion, order value, paid-traffic efficiency, cart completion, and product-page performance.
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Outcome 01
Assisted Conversion ActivityImprove Ecommerce Conversion
Help more shoppers find relevant products, understand their options, and take the next purchase action.
Increase Ecommerce Conversion → -
Outcome 02
Average Assisted Order ValueIncrease Average Order Value
Recommend coordinated products, complete looks, bundles, and add-ons based on genuine shopper relevance.
Increase Average Order Value → -
Outcome 03
Recommendation EngagementImprove Product Discovery
Help visitors reach relevant products through conversational search and intent-aware recommendations.
Improve Product Discovery → -
Outcome 04
Assisted Paid-Traffic OutcomesImprove Paid Traffic ROI
Give paid visitors immediate guidance after they arrive on the store.
Improve Paid Traffic ROI → -
Outcome 05
Chat-to-Cart ProgressionComplete More Carts
Identify and resolve the concerns that stop qualified shoppers from progressing toward checkout.
Reduce Cart Abandonment → -
Outcome 06
Product Page SignalsImprove Product Pages
Use questions, hesitation signals, and demand insights to identify missing information and weak content.
Improve Product Pages →
Publishing rule: display only verified merchant or platform performance data. Do not use generated percentages, invented logos, or sample case-study claims.
06 · Merchant control
Control what WardrobeIt knows, recommends, says, and does.
Shape the shopper experience, protect brand standards, manage commercial rules, and maintain accurate product guidance. The AI supports merchant strategy rather than replacing merchant authority.
AI Assistant
Control Center
Neutral wedding look under $200 — what fits?
Guidance stays inside merchant-approved catalog, offers, and actions.
07 · Revenue intelligence
Understand which shopper conversations create commercial value.
Connect ecommerce analytics with shopper intent to measure recommendations, virtual try-on, cart activity, assisted purchases, product demand, buying objections, and improvement opportunities.
Outcomes
Revenue & shopper intelligence
- AI-assisted revenue Tracked by journey
- Recommendation engagement Compared & opened
- Try-on usage Intent progression
- Cart actions Cart & checkout
Shopper objections
- Size & fit uncertaintyRecurring
- Delivery timingReview
- Return policyClarify
- Material questionsContent gap
Product demand signals
- Requested sizesHigh intent
- Out-of-stock demandRestock
- Missing colorsOpportunity
- High interest, low conversionImprove
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01
Measure Assisted Journeys
Review performance by product, collection, traffic source, campaign, device, market, and time period.
- Revenue
- Orders
- Cart Actions
- Try-On
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02
Find Product & Content Gaps
Identify missing size guides, weak materials detail, unclear delivery information, and repeated questions.
- Product Pages
- Fit Notes
- Photography
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03
Turn Behavior into Actions
Improve imagery, clarify sizing, create useful bundles, adjust offer timing, and strengthen landing pages.
- AI Recommendations
- Merchandising
- Marketing
08 · Integrations, security, and trust
Connect WardrobeIt to your existing ecommerce ecosystem.
Connect products, customer journeys, lifecycle communication, support workflows, paid media, analytics, and performance reporting while preserving merchant control and shopper trust.
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S
Shopify
Products, variants, collections, inventory, cart actions, and orders.
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W
WooCommerce
Products, variations, availability, checkout, and order activity.
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API
Custom Ecommerce
APIs, JavaScript components, feeds, webhooks, and event tracking.
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K
Klaviyo
Intent, product interest, saved carts, and lifecycle segments.
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H
HubSpot
Customer profiles, lead context, and high-intent workflows.
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G4
GA4
Assistant engagement, ecommerce events, and journey analysis.
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M
Meta & Paid Media
Campaign, landing-page, and assisted shopper performance.
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Human Handoff
Transfer complex conversations with shopper and session context.
09 · Proof-ready implementation
Launch with a clear path to measurable value.
Until verified case studies exist, use the Merchant Success Program instead of invented customer logos, testimonials, or performance numbers.
- Guided platform onboarding
- Store and catalog connection
- Product and policy knowledge setup
- Recommendation rule configuration
- Virtual try-on setup
- Integration assistance
- Analytics validation
- Outcome measurement planning
10 · Frequently asked questions
WardrobeIt solutions, clearly explained.
Answers about product discovery, virtual try-on, cart actions, merchant control, integrations, analytics, and revenue intelligence.
WardrobeIt helps shoppers overcome poor product discovery, buying hesitation, size and fit uncertainty, unanswered questions, and late-stage cart friction — so more visits become confident purchases.
No. Product Q&A is one part of the journey. WardrobeIt also guides discovery, comparison, virtual try-on, complete-the-look recommendations, offers, cart actions, and outcome measurement.
No. WardrobeIt recommends products from the merchant’s approved catalog and uses synced product, variant, inventory, pricing, and policy data.
WardrobeIt is built Shopify-first for launch. WooCommerce and custom ecommerce connections are part of the broader integration roadmap alongside analytics, lifecycle, and support tools.
Yes. Merchants control catalog rules, recommendation priorities, offer eligibility, widget behavior, and handoff from one merchant control center.
Virtual try-on sits inside the guided journey so shoppers can preview eligible products, then continue comparing options, completing the look, or adding items to cart without restarting.
WardrobeIt connects conversations, recommendations, try-on activity, cart actions, purchases, objections, and demand signals to assisted revenue outcomes in the merchant dashboard.
Merchant-approved sources, restricted actions, moderation, and commercial guardrails keep guidance on-brand. WardrobeIt does not invent prices, discounts, availability, policies, or unsupported product claims.
From discovery to decision
One platform for guided shopping and clearer outcomes.
Help shoppers discover, compare, try on, and buy from your catalog — then measure what moves results.
Connect your store · Sync your catalog · Configure rules · Launch · Measure outcomes
I need a sage dress for an outdoor wedding — under $200, size M.
Three in-stock options match your occasion, color, size, and budget.
Sage Pleated Midi
Medium · In stock · Eligible try-on
Forest Column Dress
Medium · In stock · Under $200