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

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Occasion shopping

[ 01 ] · Use case

“Wedding in June, evening ceremony.” Answered. 

“Wedding in June, evening ceremony.” Answered. 

“Wedding in June, evening ceremony.” Answered. 

Every shopper who types an occasion into your search bar is telling you exactly what they need. Today the search bar returns a grid.

No credit card · Live in under an hour

A shopper describing a garden wedding to Elara and receiving a complete in-stock lookGarden wedding · complete look · in stock

[ 01 ]

the situation

What does this look like today?

Your shopper has a date in the calendar and a budget in mind. She types “wedding guest” and gets 140 dresses sorted by newest. She opens six tabs, compares, hesitates, and leaves to ask a friend — or ChatGPT. Online fashion converts at 1–3% while the same shopper in a good store converts many times higher, because someone asked what the occasion was.

[ 02 ]

the shopper’s side

What does the shopper experience?

01

The brief

“Garden wedding in June, under $900, size 8.”

02

The brief, filled

Occasion, budget, weather, dress code, size — two of them inferred.

03

The look

Dress, layer, shoes, bag: in stock, in size, with a running total.

04

The bag

Seen on her in the try-on, then the whole look to checkout.

[ 04 ]

the number

What does it do to the numbers?

0×
Conversion, assisted sessions
0.0×
Items per session
Industry standards for AI-assisted shopping sessions. Your holdout report shows your own.

Online fashion conversion rates typically sit in the 1–3% range, according to the industry benchmarks in our stats post. A shopper with an occasion in mind is the most motivated visitor you have, and the one a results grid serves worst. Turning her sentence into a complete look is how the same visit converts like a good store appointment rather than a browse.

[ 05 ]

what it replaces

What are brands doing instead?

ElaraCollection filtersStyle quizzes
Understands the occasion, not a tag
No form
Infers budget and weather
Returns a complete look
Remembers it next visit

[ 06 ]

who it is for

Which brands get the most from it?

Occasionwear, bridal-guest, resort and festive categories; brands whose search logs are full of events.

OCCASIONWEAR · RESORT · FESTIVE

200+ SKUS

“WEDDING” IN SEARCH LOGS

[ 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 sessions that contain an occasion.

[ ? ]

questions

Questions a Head of Ecommerce asks first. 

Questions a Head of Ecommerce asks first. 

Questions a Head of Ecommerce asks first. 

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

Anything with a context: weddings, holidays, office, travel, interviews, a first date. Elara reads it from the sentence and fills the brief; you do not maintain an occasion list.

No. Occasion fit comes from the Style Graph, built from your catalog attributes and imagery on sync. You can override in the dashboard.

Yes. The brief and the graph are category-agnostic.

Elara says so and offers the nearest look, rather than returning nothing.

Yes. Place and month set the weather field; the look changes accordingly.

The holdout report shows conversion for sessions with an occasion brief against the control group.

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.

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