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WardrobeIt FAQs

Answers for every stage of ecommerce AI.

Find clear answers about WardrobeIt’s AI shopping assistant, catalog-only recommendations, Virtual Try-On, Shopify setup, Merchant Portal, analytics, privacy, pricing, billing, and merchant support.

Product status, limitations, and commerce boundaries remain visible in every answer.

Product and Platform

Understand WardrobeIt before evaluating features.

Answer-first explanations for merchants comparing ecommerce AI, guided shopping, and support chat experiences.

Core positioning What is WardrobeIt?

WardrobeIt is an AI shopping experience platform for ecommerce stores. It helps shoppers discover products, ask questions, compare options, use eligible Virtual Try-On, build complete looks, add supported products to cart, and helps merchants review AI-assisted shopping outcomes.

Explore the Product Overview
Current focus Who is WardrobeIt built for?

Fashion and apparel ecommerce merchants are the current focus, with Shopify as the primary supported connection. Other categories and platforms are reviewed case by case before they are described as supported.

Positioning Is WardrobeIt an ecommerce chatbot?

No. WardrobeIt is a guided shopping layer connected to the merchant catalog, not a generic support chatbot. Answers stay inside merchant-approved product information instead of open-ended conversation.

Commerce authority Does WardrobeIt replace my ecommerce platform?

No. The ecommerce platform remains the source of truth for products, variants, prices, availability, cart, checkout, payment, tax, shipping, and order completion. WardrobeIt adds the guided shopping layer before and around those systems.

Review the Shopify Integration
Catalog boundary Does WardrobeIt recommend products from other stores?

No. Recommendations stay inside the connected merchant catalog. WardrobeIt should not introduce competitor or marketplace products into the shopping experience.

Assistant scope What can the AI shopping assistant do?

It can interpret shopper requests, recommend approved catalog products, explain why products match, answer product questions from merchant-supplied information, build complete looks, support eligible Virtual Try-On, and move a confirmed selection toward the merchant cart.

See the AI Shopping Assistant
Discovery Can shoppers search using natural language?

Yes. Shoppers can describe a need, occasion, style, colour, budget, or concern in their own words, and the assistant translates that into structured intent against the connected catalog.

Cart actions Can shoppers add products to cart from the assistant?

Yes, where the merchant’s supported cart integration and product configuration allow it. Variants are confirmed before the action, and checkout is completed in the merchant’s own ecommerce system.

Experience surface Does WardrobeIt work on desktop and mobile?

The experience is designed for the merchant’s desktop and mobile website. Camera-based try-on entry depends on the shopper’s device and browser support, so an upload route stays available.

Catalog and Shopper Experience

Intelligence can interpret the need. Commerce truth controls the answer.

WardrobeIt connects conversational guidance with merchant-owned products, valid options, approved knowledge, and supported cart actions.

  1. Catalog-only recommendations

    WardrobeIt recommends eligible products from the connected merchant catalog, not competitor or marketplace inventory.

    Current principle Merchant-owned products Valid variants
  2. Complete the Look

    Build coordinated multi-product selections from eligible products while keeping the shopper’s budget, style, and chosen hero item visible.

    Current where enabled Multi-product journey
  3. Eligible Virtual Try-On

    Create an artificial visual preview after appropriate guidance and consent. The preview does not guarantee fit, size, colour, proportions, or real-world appearance.

    Eligible products and plans Visual preview No fit guarantee
  4. Validated cart action

    Product, variant, and quantity should be confirmed before the merchant’s cart accepts the action.

    Cart remains final authority Supported actions

Store Setup and Integrations

Platform answers should begin with availability.

Current support, planned connectors, and technical-review paths are separated before implementation details.

Shopify

WardrobeIt’s primary supported ecommerce connection.

Currently supported
How do I connect Shopify?

Connect through the Shopify App install flow, authorize catalog access, then confirm product sync and storefront placement in the Merchant Portal. Setup guides live in the Help Center.

Review Shopify Integration
What product data is synchronized?

Supported catalog fields typically include products, variants, pricing, availability, images, and merchant-approved attributes used for recommendations and cart validation.

Can WardrobeIt add products to cart?

Yes, where the merchant’s Shopify cart integration and product configuration allow it. Variants and quantity are confirmed before the merchant cart accepts the action.

Why are products missing?

Missing products usually mean sync delay, unpublished status, unsupported eligibility rules, incomplete variants, or merchant exclusions. Recheck catalog sync status and eligibility settings first.

WooCommerce

Future integration direction, not a live connector.

Planned integration
Does WardrobeIt integrate with WooCommerce?

Not as a live connector today. WooCommerce is a planned integration direction and should not be described as currently available.

Can variations move to cart?

Cart and variation support for WooCommerce will follow the future connector. Until then, merchants should evaluate Shopify-first workflows or request a technical review for custom paths.

How can merchants register interest?

Share your store platform and timeline through Contact or Book a Demo so the team can capture demand without implying a ship date.

Contact the team

Custom Ecommerce

Headless and proprietary stores require implementation review.

Technical review
Can WardrobeIt connect to a headless store?

Possibly, after technical review. Headless and proprietary setups are not a self-serve connector and depend on catalog access, cart handoff, and storefront placement feasibility.

Are public APIs available?

Do not assume a public self-serve API exists for every custom stack. Availability and access are confirmed during implementation review rather than marketed as open by default.

What does technical review include?

Review typically covers catalog source of truth, variant and availability rules, cart and checkout handoff, storefront embedding options, privacy requirements, and whether the merchant timeline fits a custom build path.

Book a technical review demo

Merchant Portal and Analytics

Separate usage, cart activity, attribution, and incrementality.

WardrobeIt reporting can help merchants understand assisted shopping activity without overstating what the data proves.

  1. Engagement

    Sessions, conversations, product questions, recommendations, and supported feature use.

  2. Cart activity

    Confirmed product and variant actions accepted by the merchant’s cart.

  3. Assisted or attributed revenue

    Revenue associated with WardrobeIt participation under a documented measurement rule.

  4. Incremental revenue

    A causal result that requires an appropriate controlled test or measurement design.

Security, Privacy, and AI Guardrails

Trust is a system of boundaries, not a single badge.

Review how catalog grounding, merchant permissions, shopper consent, data handling, and honest limitations shape the experience.

WardrobeIt

Merchant-controlled trust perimeter

Catalog Grounding

Answers use synchronized products and approved knowledge.

Guardrails

No invented products, variants, discounts, or policies.

Permission Boundaries

Access depends on the enabled merchant connection.

Honest Limitations

No online service or visual preview is guaranteed.

How does WardrobeIt prevent inaccurate product answers?

WardrobeIt grounds supported answers in synchronized catalog information and merchant-approved knowledge rather than relying only on generated language.

Can the AI invent products or variants?

It should not. Recommendations and answers stay inside the connected merchant catalog, so unavailable products, variants, discounts, or policies should not be fabricated to complete a conversation.

Does Virtual Try-On require shopper consent?

Yes. The experience should explain image purpose and obtain consent before any photo is processed, and that information should stay visible beside the photo action.

Review Virtual Try-On and Image Privacy
How are shopper images processed?

Images are used for the stated try-on purpose, with retention behaviour and a deletion route shown to the shopper. Detailed processing statements belong on the legal privacy pages rather than in marketing copy.

Read the Privacy Policy
Can merchant data be deleted?

Deletion is handled through the applicable agreement and supported request routes. Specific retention windows and processing details are confirmed in the legal documents, not promised generically here.

Submit a data deletion request

Pricing, Billing, and Accounts

Commercial answers should point to verified terms.

Pricing, trial access, plan allowances, invoicing, and eligibility should reflect the active pricing system or accepted agreement.

Pricing and Trial

Verified pricing lives on the Pricing page.

Do not rely on a static FAQ answer for current prices, limits, billing terms, trial access, or plan inclusions.

Product-truth rule: pricing and trial claims appear only after approval and operational validation.

Launch, Support, and Troubleshooting

Move from symptom to the right support route.

Use the FAQ for quick answers, the Help Center for complete tasks, and direct support when the issue depends on merchant-specific context.

Route 02

Setup task

Use a task-focused Help Center guide with verification steps.

Route 03

Merchant-specific issue

Submit store, feature, browser, expected result, and reproduction context.

Route 04

Commercial evaluation

Use Get Started or Book a Demo for plan and implementation fit.

Need more than a quick answer?

Turn your question into the next useful action.

Explore WardrobeIt, follow complete setup guidance, or speak with the team about Shopify fit, Virtual Try-On eligibility, analytics, pricing, or implementation.