New research guide: The Confidence Economy, how AI is changing fashion commerce.

Read it →

Read it →

/

/

Women’s fashion

[ 01 ] · Industry

Women’s fashion has every occasion. Your search bar has one box. 

Women’s fashion has every occasion. Your search bar has one box. 

Women’s fashion has every occasion. Your search bar has one box. 

Interviews, weddings, travel, first dates, Tuesday. Elara takes the moment in one sentence and builds the look from your live catalog — then shows it on her.

No credit card · live in under an hour

maison.com/collections/womens-fashion
Storefront for women’s fashion with Elara’s “Talk to your stylist” pillTalk to your stylist

[ 01 ]

the category

Why does women’s fashion need a stylist?

Your shopper needs a Monday meeting outfit, a Friday dinner look and a weekend wedding guest dress — from the same catalog, in the same week. Your search bar sees three keywords. Online fashion converts at 1–3%, and most of the gap is a decision she could not make alone. Elara takes each occasion in one sentence and answers it with a complete look.

[ 02 ]

where it leaks

Where does women’s fashion lose the sale?

01

Every day is a different occasion.

Work, dinner, travel and weekend each need a different judgment a filter panel cannot make.

02

Returns are styling failures, not product failures.

Online apparel returns run at 20–30%; most arrive correct but did not work for the moment or the wardrobe.

03

Nobody asks what she already owns.

“What goes with my cream trousers?” is the most common unsaid question in the category.

[ 03 ]

what shoppers ask

What do women’s fashion shoppers actually ask for?

01

“I have a job interview at a startup. Smart but not corporate.”

→ 4-piece look · in stock · in size
02

“Something for a first date — dinner, mid-range restaurant. Effortless but put-together.”

→ 4-piece look · in stock · in size
03

“I need a capsule travel wardrobe for 5 days in Europe. 2 pieces max.”

→ 4-piece look · in stock · in size
04

“What works with these wide-leg cream trousers I just bought from you?”

→ 4-piece look · in stock · in size
05

“I want to look more put-together at work without buying a full new wardrobe. Where do I start?”

→ 4-piece look · in stock · in size

[ 05 ]

the number

What does it do to the numbers?

+0%
Average order value
0.0×
Items per session
0×
Conversion, assisted sessions
+0%
Engagement
Industry standards for AI-assisted shopping sessions. Your holdout report shows your own.

Online fashion converts at 1–3%, according to the industry benchmarks in our stats post, while the same shoppers convert many times higher in a good store, where someone helps. In women’s fashion, that help is the difference between a browse and a decision: a shopper with an occasion in mind needs a complete answer, not a grid. Elara supplies it on every visit, and the holdout report measures what it moves.

[ 07 ]

proof in 30 days

How would I test it?

01

Day 1 — install, sync, write the opener.

Four lines or the Shopify app. The catalog syncs within the hour; the opener is set in Widget Studio.

02

Days 2–30 — run it against a holdout.

10–20% of sessions never see Elara. Nothing else on the store changes.

03

Day 30 — read the report.

The number to watch: conversion on occasion sessions.

[ ? ]

questions

Questions from women’s fashion brands. 

Questions from women’s fashion brands. 

Questions from women’s fashion brands. 

Anything else, book twenty minutes and ask the founder directly.

Elara understands occasion context across the full spectrum of women's fashion needs — professional (job interview, client meeting, business travel), social (date night, dinner with friends, rooftop event), casual (weekend errand, brunch, city exploring), and formal (wedding guest, gala, party). Each occasion implies a different formality register and aesthetic, and Elara reasons about these distinctions rather than just matching category keywords.

No. Elara builds complete looks from what she asked for, not the largest possible basket. “Buy better” shows up as fewer returns and more pieces kept, not fewer orders.

Yes. The brief carries a budget and Elara styles within it, using your catalog’s own price range. It never discounts and never reaches beyond what she said she wanted to spend.

Both. Dresses render as one piece; separates are styled slot by slot. Either way the whole look is shown head to heels on her own photo, in the size and colour she chose.

Yes. The SDK works with Hydrogen and any front end that can load a script or call the API.

Your catalog, stock and anonymous on-site behaviour. No personal data is required to style a shopper; nothing is shared across brands or used to train models for anyone else.

Give your store a stylist that actually sells. 

Give your store a stylist that actually sells. 

Give your store a stylist that actually sells. 

Thirty days free. Live in under an hour. Measured against a holdout from day one.

Slide to start your trial

No credit card · Cancel any time