New research guide: The Confidence Economy, how AI is changing fashion commerce.
Read it →
Use case
They already own the piece.
Elara sells them the rest.
Multi-item purchases produce 2.4x more items per session than single-product browsing. When Elara builds around what a shopper already owns, the basket follows.
The business case
Shoppers who already own something from you are your highest-LTV customers. Elara finds them.
A returning shopper who brings a piece they already own to an Elara conversation is signaling deep brand affinity. They like what they bought. They want more of it. They’re the most likely segment to convert, to buy multiple items, and to return again. Elara turns that signal into a multi-item sale.
1.8x
Items per session for outfit-completion shoppers vs. single-product browsers
↑ LTV
Shoppers who return to style existing pieces visit more frequently and buy more per visit
Fewer returns
Pieces bought to complete a known outfit are returned less, the fit and occasion context are already established
How it works
From one piece to a complete look.
01
Cobalt linen kurta, bought last month.
Color
Silhouette
Category
The shopper describes what they own
“I have a cobalt linen kurta I bought last month. What works with it?” They can type a description. Generic AI tools surface individual products. Elara assembles what completes the look, from your catalog. Not as promoted products. As the right piece for this brief, from this shopper, at full price.
02
Completes
Color match
Aesthetic
Formality
Elara builds around it
Elara treats the owned piece as the anchor. It reasons about what completes the look, what works with that color, that aesthetic, that formality register, and selects complementary pieces from your catalog.
03
2 pieces · full rationale
The completion outfit
Elara presents two or three pieces that complete the look, each with a rationale for why it works with the owned piece. The shopper doesn’t have to do the styling work. The multi-item purchase follows.
Explore more
See what else Elara does.
Questions, answered.
How does Elara know what the shopper already owns?
The shopper tells it. They describe the piece in natural language. The Style Graph also builds a record of purchases from your store, so returning shoppers can simply ask Elara to style the kurta they bought last month.
Does this work if the shopper bought the anchor piece from a different brand?
Yes. A shopper can describe any piece they own, not just pieces purchased from your store, and Elara will build a completion outfit from your catalog around it.
Can Elara recommend pieces from other brands to complete an outfit?
No. Elara only surfaces products from your catalog. If your catalog doesn't have something that perfectly completes the outfit, Elara presents the best options available and may note that a specific item type is missing.
What if the piece the shopper owns doesn't pair well with anything in my catalog?
Elara is honest. If the combination isn't strong, it will say so and present the closest available options with a note about why the pairing isn't ideal.
Watch Elara build around a piece a shopper already owns — using your actual catalog.
30-day free trial. Holdout-based lift report included. No developer required.
Live in under an hour · No dev required · Real lift measurement