USE CASE 07 E-commerce · Fashion

LookLab

An AI personal stylist for boutique e-commerce brands.

Fit profiles, look-driven product discovery, returns prediction, and a chat stylist that composes entire outfits on demand.

×1.6
AOV lift on outfit-led sessions
–18%
Return rate after ReturnsRadar
0 eng
New arrivals auto-flow into looks

WHY IT WORKS

LookLab turns a catalog of individual products into a wardrobe. Each customer builds a fit profile (body, style, palette, occasions); the stylist agent then composes full outfits that actually exist in the store, explaining why an item complements another and defaulting to the right size without a guessing game at the cart.

The quiet win is returns. A predictive service watches every cart against historical returns data and flags high-risk items before they ship — not to block the sale, but to suggest a size swap or an alternative that the customer will actually keep. Stores that turn this on cut their return rate by double digits without touching the product page.

LookLab is catalog-agnostic: WooSync feeds products from WooCommerce, custom importers handle Shopify / Magento. Everything else is AIMicroservices boilerplate — ChatBuilder for the widget, AgentBuilder for the stylist, Billing for subscriptions.

ARCHITECTURE · LAYERED BLUEPRINT

How the microservices wire up.

Read top to bottom. Channels are where people arrive, orchestration is how the AI thinks, domain is the startup-specific logic, data & identity keeps the source of truth, and platform is the invisible glue.

AIM microservice Data / control flow

Scroll horizontally to see the full architecture.

HOW TO SHIP IT

Quick-start checklist.

  1. 01 Connect the storefront to WooSync / Shopify; catalog seeds automatically.
  2. 02 Turn on FitProfile — existing customers get a 60-second onboarding.
  3. 03 Seed StyleGraph from SeasonalPulse + past orders.
  4. 04 Embed ChatBuilder with the stylist agent; enable ReturnsRadar on checkout.

WHAT'S NEXT

Compose LookLab in a visual workspace.

Log into AIM Engine 2.0, drop the blueprint on a canvas, fork the domain microservices you need, and deploy to your own domain. Everything shown here is already a real component.