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Post-Launch Roadmap

Custom & headless · JavaScript embed

WardrobeIt Custom Ecommerce & JavaScript Integration.

Add a planned AI shopping layer to proprietary, headless, or JavaScript storefronts — guided discovery, catalog-only recommendations, Q&A, variants, and cart mapping on approved merchant systems.

Not a universal public SDK or plug-and-play connector today. Custom paths require discovery, credentials, and merchant-specific testing.

Discuss a Custom Integration Explore Developer Documentation

On Shopify today? Use the live Shopify integration.

  • API connection Approved catalog, availability, and shopper actions through future APIs.
  • JavaScript embed Lightweight assistant on compatible storefronts — no frontend replacement.
  • Custom commerce actions Map variants, cart, checkout, and events to your existing platform.

Integration methods

Select the Connection Model That Fits Your Commerce Architecture

WardrobeIt’s future developer platform is designed to support different storefront and backend structures without forcing merchants into one implementation pattern. Each integration method requires technical discovery, approved credentials, implementation testing, and merchant-controlled deployment.

Best for: A compatible custom storefront that needs a shopper-facing JavaScript chatbot widget without replacing its existing pages, cart, or checkout.

Intended requirements

  • Approved WardrobeIt storefront key
  • Compatible browser environment
  • Product or page context
  • Merchant-specific configuration
  • Supported cart-action mapping
  • Event and error handling
  • Mobile and accessibility testing

Planned implementation flow

  1. Create approved merchant credentials.
  2. Add the supported WardrobeIt script.
  3. Pass relevant storefront context.
  4. Configure assistant visibility and prompts.
  5. Connect supported product and cart actions.
  6. Test desktop and mobile behavior.
  7. Publish the validated implementation.

Capability boundary: WardrobeIt does not currently provide a universal production-ready JavaScript SDK for every ecommerce platform.

Explore Developer Documentation · Need Shopify today? View the live Shopify integration

Data and action flow

Connect Product Intelligence With the Existing Shopping Journey

The planned custom ecommerce integration will keep product recommendations inside the merchant’s approved inventory and pass supported shopper actions back into the merchant’s existing commerce system.

  1. Send approved catalog data Products, categories, collections, variants, prices, images, availability, descriptions, and merchant-approved attributes.
  2. Configure recommendation boundaries Discovery, comparison, Q&A, alternatives, Complete the Look, availability handling, and supported exclusions.
  3. Add the assistant to the storefront Use the approved JavaScript, API, or custom frontend method released for the implementation.
  4. Connect product and variant actions Map product identifiers, variant identifiers, sizes, colors, configurations, quantity, and product-page actions.
  5. Pass items into the existing cart WardrobeIt confirms the shopper’s selected product, valid variant, and quantity before calling the supported merchant cart action.
  6. Track supported outcomes Record eligible assistant interactions, recommendations, clicks, variant selections, cart additions, and checkout or purchase outcomes where supported.

Merchant catalog stays the source

Recommendations remain inside approved merchant inventory — not competitor, marketplace, or open-web products.

Commerce authority unchanged

Final cart validation, checkout, payment, tax, shipping, and fulfillment stay with the merchant’s existing systems.

Connection-dependent reporting

Order and revenue reporting remain connection-dependent and should not be presented as universally available.

Commerce experience capabilities

Support the Product Decisions That Move Shoppers Toward Cart

Custom storefronts still need the same guided shopping experience: understand the shopper, recommend approved products, answer questions, validate choices, and support the next action.

  • 01

    Conversational Product Discovery

    WardrobeIt can understand shopper intent through natural language and convert it into relevant merchant-catalog criteria such as occasion, style, category, color, size, material, budget, and product requirement.

  • 02

    Catalog-Only Recommendations

    WardrobeIt should return products from the connected merchant catalog without recommending competitor, marketplace, or open-web inventory. Explore catalog-only recommendations.

  • 03

    Product and Store Q&A

    WardrobeIt can answer approved questions about product facts, materials, sizing, variants, care, shipping, returns, and store policies. When approved information is unavailable, WardrobeIt should state the limitation instead of inventing an answer.

  • 04

    Complete the Look

    WardrobeIt can recommend relevant complementary merchant products around a selected hero product, occasion, style, or budget. Advanced manual pairing rules should appear only when the released integration supports them.

  • 05

    Variant Selection

    WardrobeIt can display valid merchant-defined sizes, colors, options, configurations, pricing, and availability. It must not create unsupported product combinations.

  • 06

    Add to Cart

    WardrobeIt can pass the selected product identifier, valid variant, and quantity into the merchant’s existing cart through the approved integration method. The merchant’s commerce platform remains responsible for final availability, pricing, cart validation, checkout, payment, and fulfillment. Add to Cart from the Assistant.

Developer controls and testing

Build and Validate the Connection With Merchant Control

The future developer platform should give approved teams the tools required to manage credentials, environments, product data, shopper actions, testing, and operational health. Every control below must be verified against the released developer platform before appearing as an active interface.

Planned controls may include

  • Approved API or storefront credentials
  • Development, testing, and production configurations where supported
  • Data and action permissions
  • Product source and field-mapping review
  • Supported assistant, product, cart, and outcome events
  • Allowed shopper actions

Allowed shopper actions may include

  • Open a product
  • Select a variant
  • Add to cart
  • Update quantity
  • Continue to checkout

Advanced offer, coupon, refund, or order actions should remain unavailable unless explicitly supported.

Explore Developer Documentation · Explore Merchant API Keys (planned)

Security, boundaries, and monitoring

Keep Custom Commerce Connected Without Exposing Sensitive Systems

Custom integration work must protect merchant credentials, shopper data, product truth, and commerce authority.

01

Security principles

  • Use approved merchant credentials only.
  • Never expose full API keys, tokens, secrets, headers, or private identifiers.
  • Keep complete secrets out of frontend code, screenshots, logs, and support materials.
  • Separate development, test, and production environments where supported.
  • Limit each integration to the minimum approved data and action scope.
  • Show merchant-safe error details without exposing private infrastructure.
02

Commerce boundaries

WardrobeIt should not replace the merchant’s:

  • Product source of truth
  • Cart validation
  • Checkout
  • Payment processing
  • Tax calculation
  • Shipping logic
  • Order management
  • Refund handling
  • Fulfillment workflow
  • Customer-service authority
03

Product truth boundaries

WardrobeIt should not invent:

  • Products
  • Variants
  • Prices
  • Availability
  • Policies
  • Cart states
  • Checkout outcomes
  • Order outcomes
  • Revenue results

Recommendations should remain inside the connected merchant catalog.

Measurement boundaries

Separate:

  • Assistant activity
  • Product interactions
  • Cart outcomes
  • Assisted orders
  • Attributed revenue
  • Incremental revenue

Assisted or attributed outcomes should not be presented as causal proof.

Review Security and Guardrails

No compliance certifications, uptime guarantees, or live credential examples belong on this roadmap page.

Custom integration FAQs

Frequently Asked Questions

Post-launch roadmap positioning for JavaScript ecommerce chatbot, custom storefront, API, and headless commerce questions.

Discuss a Custom Integration
Does WardrobeIt currently support custom ecommerce and JavaScript integrations?

Not as a production-ready public integration. Custom ecommerce, JavaScript, API, SDK, and headless-commerce support are post-launch roadmap directions that require technical discovery, approved credentials, merchant-specific testing, and production-ready WardrobeIt interfaces.

What is a JavaScript ecommerce chatbot?

A JavaScript ecommerce chatbot is a storefront assistant embedded through JavaScript that can support shopper conversations, product discovery, product recommendations, product questions, and cart-related actions where the storefront integration supports those behaviors.

Can I embed WardrobeIt with JavaScript today?

WardrobeIt should not be presented as having a universal public JavaScript SDK for every ecommerce platform today. Approved custom JavaScript deployment should remain a technical review or post-launch implementation path until production tooling is released.

Does WardrobeIt work with headless commerce?

Headless commerce support is a planned integration direction. A future implementation may connect WardrobeIt with a custom frontend and an existing commerce backend, while preserving the merchant’s catalog, cart, checkout, payment, and order systems.

What data would a custom ecommerce integration need?

A future custom integration may require approved product data, category data, collections, variants, prices, images, availability, product descriptions, merchant-approved attributes, product IDs, variant IDs, cart endpoints, event definitions, and supported analytics context.

Will WardrobeIt replace my existing cart or checkout?

No. WardrobeIt should not replace the merchant’s existing cart, checkout, payment, tax, shipping, order management, or fulfillment systems. It should support valid product and cart actions through approved integration methods.

Can WardrobeIt guarantee compatibility with my custom storefront?

No. Compatibility depends on the storefront architecture, frontend framework, commerce backend, product data, cart APIs, checkout flow, security requirements, and the released WardrobeIt developer platform.

What can WardrobeIt do after a custom integration is approved?

After a supported custom integration becomes available, WardrobeIt may help approved merchants add AI-guided product discovery, catalog-only recommendations, Product Q&A, Complete the Look, valid variant selection, Add-to-Cart actions, supported event tracking, and connection-dependent outcome reporting to compatible custom storefronts.

Post-launch custom integration

Build WardrobeIt Around Your Existing Commerce Architecture

Discuss how WardrobeIt could connect with your custom storefront, catalog, cart, checkout, and reporting environment without forcing your team to rebuild the systems already powering the store.

Discuss a Custom Integration Explore Developer Documentation Book a Demo

Keep your commerce architecture. Add a guided shopping layer when your custom integration is approved and production-ready.