Soirée Satin Dress
$128.00
Elegant & versatile for any occasion
Try It OnAdd to Cart
Catalog-Only Recommendations
Recommend only products your store actually sells.
Guide shoppers toward relevant, available products from your own ecommerce catalog. WardrobeIt combines shopper intent, product data, variants, pricing, inventory, and merchant rules to create explainable recommendations that keep the buying journey inside your store.
Draped Midi Dress
$148.00
Garden wedding · Size M ready
Sculpted Leather Bag
$159.00
Complete the look · In stock
Occasion Recommendation
Find a product for a garden wedding.
WardrobeIt captures the occasion, preferred colors, size, fit, and budget before ranking available products from the merchant catalog.
Compare RecommendationsHow WardrobeIt Selects Products
From shopper request to explainable product match.
WardrobeIt combines shopper intent with merchant-controlled catalog data, then checks relevance, variants, availability, pricing, and recommendation boundaries before presenting products.
Understand the request
Identify product type, occasion, style, color, budget, size, fit, urgency, and buying concerns.
Structure product intent
Turn ordinary shopper language into attributes the connected catalog can evaluate.
Search approved products
Search merchant products, collections, tags, categories, and product relationships only.
Check variants
Review size, color, product status, market eligibility, and applicable inventory conditions.
Rank suitable matches
Balance shopper relevance with merchant priorities, exclusions, inventory, and compatibility.
Explain the reason
Show why the product matches the occasion, budget, selected size, style, or cart context.
Recommendations Built on Store Data
Build recommendations from the product information you control.
Product titles, descriptions, collections, attributes, variants, prices, inventory, images, and merchant tags create the foundation for more accurate matches and clearer shopper explanations.
Product Meaning
Titles and descriptions
Help WardrobeIt understand product purpose, features, material, style, and intended use.
Catalog Structure
Collections and attributes
Connect shopper language with category, occasion, season, color, fit, and product type.
Purchase Readiness
Variants and inventory
Confirm which size, color, configuration, and product state the shopper can select.
Merchant Intelligence
Tags and priorities
Use approved tags for new arrivals, seasonal ranges, product relationships, and strategic items.
Silk Column Dress
$162.00
Current prices
Use catalog pricing in ranking and shopper explanations.
Available variants
Show the configuration the shopper can actually choose.
Product imagery
Support understanding, comparison, and visual compatibility.
Inventory status
Prefer synchronized in-stock options when availability is known.
Approved tags
Apply merchant tags for seasonality, relationships, and priorities.
No Open-Web or Competitor Recommendations
Keep product discovery inside your ecommerce store.
WardrobeIt is designed to help merchants sell their own inventory. It does not send shopper attention toward competing stores, external marketplaces, or unsupported products.
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No competitor products
Every recommendation stays inside products and collections approved by the merchant.
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No invented products or variants
When the requested item does not exist, WardrobeIt clarifies, offers an approved alternative, or explains the limitation.
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No unsupported pricing or availability
Connected product truth replaces assumptions about prices, discounts, inventory, restocks, or delivery promises.
Inventory and Variant-Aware Recommendations
Recommend products shoppers can actually choose.
WardrobeIt can consider applicable product availability, selected size, color, variant combinations, market eligibility, and merchant inventory rules before presenting the strongest options.
Merchant-Controlled Recommendation Logic
Decide what WardrobeIt promotes, excludes, and pairs together.
Merchants combine shopper relevance with product priorities, collection rules, exclusions, inventory conditions, approved tags, and store-specific merchandising logic.
Prioritize products
New arrivals, strategic collections, or seasonal ranges.
Exclude products
Restricted categories, unavailable items, and blocked variants.
Control promotions
Surface sale products only when they remain relevant.
Define pairings
Complete-looks, alternatives, similar products, and add-ons.
Recommendation Experiences Across the Journey
Use the right recommendation for the shopper’s current decision.
WardrobeIt adapts recommendations from initial discovery to comparison, alternatives, complete looks, cross-sells, upgrades, and cart-stage additions.
Initial product discovery
Turn a natural-language request into products from the merchant catalog without forcing the shopper to know exact product names.
Occasion → intent → catalog match
Similar products
Find comparable style, silhouette, color, material, occasion, or price range.
Keep interest inside the store
Available alternatives
Recover an unavailable size, color, budget mismatch, or unsuitable fit.
Reduce discovery dead ends
Product comparison
Explain meaningful differences in price, material, fit, occasion, and availability.
Turn choice into a guided decision
Complete-the-look recommendations
Build a coordinated basket around the selected product, occasion, style, color, budget, inventory, and merchant pairing rules.
Relevant multi-product opportunity
Cross-sell suggestions
Add accessories, care products, or complementary categories that improve the purchase.
No random product carousel
Value-based upgrades
Present a higher-value option only when it offers a clear shopper benefit.
Explain the difference
Cart-stage recommendations
Use current cart context, selected variants, budget, and product relationships.
One final relevant opportunity
Page-aware recommendations
Adapt recommendations to homepage, collection, product, and cart moments so the next suggestion matches the shopper’s current decision stage.
Right moment · catalog-only match
Recommendation Accuracy and Merchant Intelligence
Understand which recommendations create shopper interest.
Recommendation activity can show which products earn attention, which attributes matter, where variants are missing, and where the catalog cannot fully meet shopper demand.
Recommendation clicks
Review impressions, product-card clicks, clicks by collection, and engagement by recommendation reason.
Product Interest
Add-to-cart activity
Connect recommended products, selected variants, complete looks, and cross-sells with supported cart actions.
Commerce Progression
Frequently requested attributes
See recurring styles, colors, sizes, fits, occasions, materials, and price expectations.
Shopper Demand
Unmet catalog demand
Identify missing products, unavailable variants, incomplete attributes, and weak alternatives.
Merchandising Opportunity
Outcomes and Product Proof
Turn merchant product data into more useful shopping decisions.
WardrobeIt helps ecommerce stores improve product relevance, recommendation engagement, realistic purchase options, cross-sell opportunities, and visibility into shopper demand.
Discovery Outcome
More relevant product matches
Combine shopper intent with approved product information to present stronger catalog options.
Engagement Outcome
Clearer recommendation reasons
Explain why a product matches instead of presenting an unexplained carousel.
Inventory Outcome
Better use of available variants
Keep shoppers focused on realistic products, sizes, colors, and configurations.
Basket Outcome
Relevant cross-sell opportunities
Build complete looks and complementary selections based on shopper context.
Confidence Outcome
Less product confusion
Compare meaningful differences and provide safe alternatives when the first choice is unsuitable.
Commerce Outcome
Stronger chat-to-cart progression
Connect recommendation, variant selection, add-to-cart, and supported checkout activity.
Product Recommendation Walkthrough
See how WardrobeIt uses your catalog.
The strongest demonstration uses the merchant’s actual products, collections, variants, terminology, inventory, and recommendation rules.
- 1. Connect catalog Approved products, variants, pricing, inventory, and attributes.
- 2. Set boundaries Priorities, exclusions, product relationships, and terminology.
- 3. Test requests Occasion, budget, fit, similar products, and unavailable variants.
- 4. Review quality Confirm accuracy, availability, merchant rules, and match reasons.
- 5. Launch experience Deploy shopper recommendations across approved journeys.
- 6. Measure outcomes Review clicks, engagement, cart activity, and demand signals.
Frequently Asked Questions
Catalog-only recommendation questions, answered.
Clear answers about merchant catalogs, inventory, competitor products, variants, accuracy, and measurement.
Product suggestions generated from an individual merchant’s approved catalog. WardrobeIt uses shopper intent and connected merchant information to recommend relevant products, variants, and alternatives from the store’s own inventory.
WardrobeIt structures the shopper’s request, searches approved products, checks relevant attributes and variants, applies merchant rules, and explains why the strongest available options match.
No. Recommendations remain inside products and collections approved by the merchant, without open-web, marketplace, or competing-store detours.
WardrobeIt can clarify the limitation, ask a follow-up question, or offer the closest relevant merchant-approved alternative with an available variant.
Yes. Merchant controls can define priorities, exclusions, approved tags, product relationships, collection rules, and applicable inventory conditions.
No. It should not invent products, variants, prices, availability, discounts, materials, delivery promises, or unsupported product claims.
Supported reporting can review impressions, product clicks, selected variants, cart actions, requested attributes, and unmet demand. Assisted outcomes show participation; incremental impact requires an appropriate causal test.
Sell From Your Catalog With Confidence
Give shoppers better recommendations without sending them somewhere else.
Connect WardrobeIt with your ecommerce catalog and see how shopper intent becomes relevant, available, and explainable product recommendations.
- Approved merchant productsRecommendations remain inside your catalog.
- Available variants consideredSizes, colors, and configurations stay realistic.
- Clear match reasonsShoppers understand why each product belongs.
- Unmet demand surfacedLearn what shoppers request but cannot find.