Visual Similar Products
Like the knit? Four more, one scroll down.
Its lookalikes are one scroll down. AI found them in your catalog.
Live with Vitruta
In production with
Any platformTR · EN
Any platformTR · ENLive in production
See it working
Vitruta product pages and the rows under them today, in the same order.
Pick a product page
American VintageRaxow Erkek Kazak8.120 TLSMLXLSepete ekle
Benzer Ürünler
SunflowerMoon Merino Erkek Kazak13.359 TL SweaterMen’s
Norse ProjectsBirger Wool Raglan Erkek Kazak16.745 TL SweaterMen’s
Norse ProjectsRasmus Relaxed Brushed Erkek Polo Kazak18.755 TL SweaterMen’s
A.P.C.Jay Erkek Kazak21.415 TL SweaterMen’s
A.P.C.Tyler Erkek Kazak23.235 TL SweaterMen’s
SunflowerMohair Polo Erkek Kazak23.129 TL SweaterMen’sSet up once
AI sorts your catalog by look before the first shopper arrives.
- 1Install the appOn Shopify, or connected to any other platform by our team.
- 2AI reads the catalogShape, colour, pattern and cut, plus gender and category. A full catalog takes minutes.
- 3Add the row to your product pageOne block in the theme editor.
New pieces, prices and sell-outs reach the row on their own.
Why it sells the next piece
A row built on the name puts women’s trousers under a men’s knit.
- The right aisle
- A men’s page shows menswear. A dress shows dresses first.
- Sold out, your call
- Show sold-out pieces or hide them. One setting on the block.
- A full row
- When close matches run out, the row reaches a little wider.
The report
See what the row sells, after refunds.
- What gets opened
- Which recommendations shoppers open, piece by piece.
- What it sells
- Orders traced back to the row, counted after refunds.
- With and without
- Compare pages that show the row with pages that don’t.
- Where it runs
- A row on the product page
- Platform
- Shopify app, or any other platform by integration
- Setup
- Three steps: install, let AI read the catalog, add one block
- Languages
- Turkish and English catalogs
Questions
How is this different from Shopify’s related products?
Shopify’s suggestions lean on tags, collections and purchase patterns. This compares the photos, so a suggestion looks like the piece on screen.
How quickly does the row appear?
Straight away. The matches are worked out in advance, and the row loads with the page without holding anything up.
Pairs with
Next
Let’s look at your store.
A person replies, usually within a business day.