One product solves only part of the need
Ask whether the shopper wants the product alone or help completing the occasion, outfit, routine, or gift.
AI-Powered Average Order Value Optimization
Increase Average Order Value
Turn isolated product interest into larger, more relevant baskets built around what the shopper is actually trying to complete.
WardrobeIt understands the shopper’s purchase mission, recommends complementary products from the merchant’s own catalog, confirms valid variants, and lets customers add one item, selected products, or the full combination to cart.
-
Relevant recommendations
Every addition has a shopper-facing reason tied to the mission.
-
Editable baskets
Skip, replace, remove, or keep only selected products.
-
Merchant-controlled rules
Catalog, offers, exclusions, and cart actions remain governed.
Ecommerce Basket Opportunities
The value shoppers never see
Average order value often stays low because related products remain hidden, generic cross-sells get ignored, and complete solutions require too much manual browsing.
WardrobeIt identifies what else may help the shopper complete the same purchase mission without turning the journey into an aggressive upsell sequence.
-
-
Useful products stay buried elsewhere
Surface relevant shoes, bags, accessories, layers, care items, or related products beside the original selection.
-
The same carousel appears for everyone
Use the shopper’s occasion, budget, style, selected variant, and active product to create a smaller, more relevant recommendation set.
-
Shoppers calculate the basket themselves
Build a coordinated combination around the hero product, occasion, style, available variants, and total budget.
-
Shoppers leave to compare elsewhere
Present similar, lower-priced, premium, or better-fitting products from the merchant’s own catalog.
Intent-Led Basket Building
Understand the full purchase mission
Not every customer should receive the same number of recommendations. WardrobeIt adapts basket depth to what the shopper is trying to complete.
-
01
Focused
Single product need
Do not force a bundle when the shopper asks for one product.
-
02
Coordinated
Complete look
Build around the selected hero product with editable additions.
-
03
Mission-led
Occasion shopping
Translate a broad event need into a complete merchant-catalog solution.
-
04
Explained
Meaningful upgrade
Recommend a higher-value option only when it solves a stated priority.
-
05
Controlled
Budget-based basket
Create a usable combination while respecting the total spending limit.
Interactive Basket Builder
Build the basket around one hero product
The shopper keeps the product they already understand while WardrobeIt assembles relevant, editable additions around it.
Relevant Cross-Selling and Upselling
Recommend more without feeling pushy
WardrobeIt chooses a recommendation mode based on the shopper’s actual need, not a fixed upsell rule shown to everyone.
-
Mode 01
Complement
Add a product that naturally supports the original purchase and explain the practical reason it belongs.
-
Mode 02
Upgrade
Show a higher-value option only when it matches a stated product priority such as durability, material, or finish.
-
Mode 03
Expand
Add products for the same occasion, outfit, routine, or use case while keeping the basket editable.
-
Mode 04
Replace
Recover the journey with a better-fitting, available, lower-priced, or more suitable merchant product.
Ecommerce Bundle Recommendations
Sell coordinated combinations, not isolated products
Complete looks make the combined value of compatible merchant products easier to understand, edit, and add to cart.
Occasion-Ready Outfit
Outdoor wedding
Workwear Combination
Office-ready
Balanced, product-led combination
Travel-Ready Selection
Flexible layers
Mission-based basket
Shopper-Controlled Basket Value
Let customers choose how complete the purchase should be
A larger basket remains a shopper choice. WardrobeIt can show clear levels of completion without making the recommendation all-or-nothing.
-
Add Essential
Essential
Hero product plus the single most useful addition. Best for shoppers who want a focused basket.
-
Add Complete Look
Complete
Balanced combination for the full occasion, with every item editable and optional.
-
Add Premium Look
Premium
Merchant-approved upgrades that preserve the same purchase mission and explain the added product value.
Merchant-Approved Ecommerce Offers
Use incentives without giving away control
Offers support the basket only when the active capability, shopper, products, market, and cart meet merchant-configured rules.
WardrobeIt Offer Gatekeeper
Rule-Based · Merchant Approved
- Basket condition verified Eligible cart value or approved product combination.
- Product eligibility verified Exclusions and collection rules respected.
- Shopper eligibility checked Only when applicable merchant rules support it.
- Usage and timing checked Validity, limits, market, and stacking rules.
Present only when eligible
WardrobeIt should not interpret every pause, comparison, or question as a request for a discount.
Autonomous margin optimization is not shown as active unless the required merchant data and decision system are enabled.
- Approved bundle Configured product combination with valid options.
- Free-shipping threshold Correct market, cart condition, and exclusions.
- Collection promotion Eligible products and active date range.
- No offer shown Original shopping action continues without friction.
- Cart-value threshold Shown only when the configured condition is met.
- Complete-look incentive Applied only to an approved eligible combination.
- Controlled discount No invented price change or unauthorized promotion.
- Commercial priority Only after relevance, availability, and shopper fit.
Merchant-Controlled Basket Strategy
Control the logic and measure the basket outcome
Merchants define product relationships, exclusions, priorities, offers, and cart guardrails while WardrobeIt organizes supported basket activity into explainable performance signals.
Merchant product relationship map
Catalog-scoped- Shopper relevance first Merchant priority does not override the stated mission.
- Availability required Unavailable products are not shown as purchase-ready.
- Variant confirmation Required size, color, or configuration is validated.
- Optional additions Skip, replace, remove, and selected-items-only controls stay visible.
Supported basket and AOV signals
No fabricated valuesAverage Assisted Cart Value
Qualifying cart value
Includes carts that may never become completed purchases.
Average Assisted Order Value
Completed order value
Measured only across qualifying assisted purchases.
Cross-Sell Acceptance
Relevant additions
How often eligible complementary products are selected.
Complete-Look Activity
Edit and cart signals
Full looks added, products removed, replaced, or selected.
Merchant insight: shoppers often keep the hero product but remove one optional category.
Review whether that category is relevant, too expensive, unavailable in required variants, or poorly explained.
Assistant-attributed revenue shows that WardrobeIt participated in the recorded journey. It does not automatically prove incremental revenue or causal AOV lift.
Average Order Value Questions
Build larger carts without losing shopper trust
WardrobeIt supports relevant multi-product purchase opportunities while preserving shopper choice, catalog truth, and merchant control.
Average order value measures the average completed order value during a defined period. Merchants should define how discounts, refunds, shipping, taxes, cancellations, and currencies are treated.
AI can understand the shopper’s complete need and recommend relevant complementary products, complete looks, alternatives, or meaningful upgrades grounded in merchant products and rules.
No. The original product remains visible and shoppers can skip, replace, remove, adjust the budget, or add selected items only.
Yes. WardrobeIt can create editable complete looks using approved merchant products, shopper context, available variants, budget, and merchant-defined product relationships.
WardrobeIt can present merchant-approved offers when the active capability and configured eligibility rules support it. It should not invent a discount or apply an unauthorized promotion.
No. WardrobeIt creates relevant multi-product purchase opportunities. Actual results vary and should be measured using verified merchant data and an appropriate testing methodology.
Assisted cart value measures current qualifying carts, including carts that may never convert. Assisted order value measures completed qualifying purchases.
See how one product becomes a larger, shopper-approved cart
Use real catalog products to demonstrate mission understanding, complete looks, alternatives, variant confirmation, cart actions, and supported basket analytics.