Search that answers with looks
AI search: and shopping assistant for fashion shops
AI search is a mixNmatch module for multimodal fashion search: shoppers describe what they want in their own words or with an image and get matching products and complete looks from your catalogue, then refine them with the styling assistant.
Search that understands occasions, styles and feelings, and a styling chat that turns the answer into an outfit ready to buy.
In and out
What your shop already has goes in. What mixNmatch adds comes out, marked in yellow.
InSearch query
“outfit for a summer wedding”
OutLooks and pieces that fit
What is AI search in looks?
AI search in looks understands how people actually describe clothes.
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A shopper can type “comfy red sneakers” or “outfit for a summer wedding”, or upload a photo of a piece they like, and the search returns matching products and complete looks from your range.
Where a keyword search needs the exact words of the product title, AI search works with the occasion, the style and the feeling behind a request, on the attributes from Smart Product Tags.
Why is keyword search not enough for fashion?
Shoppers think in occasions and outfits; shops answer with SKUs.
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Someone looking for “an elegant look for a client dinner” will not type “blazer black wool”, and a keyword search will not connect the two. The result is a long list of single products, or none at all, and the visitor leaves: 94 per cent of customers abandon shopping due to irrelevant results.
AI search answers with a complete look instead, which also brings your secondary categories into view.
Can shoppers search with an image?
Yes. AI search is multimodal: shoppers can upload or photograph an item, an outfit or an inspiration picture, and combine it with text, for example a photo of a jacket plus “but in navy, for the office”.
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The results respect colour family, occasion and fit, because these are attributes in your enriched data rather than guesses from the product title. AI search runs next to your current search, as a styling layer.
How it works
It moves Conversion Secondary categories in view
Also called: conversational search, natural-language search, visual search, shopping assistant
- 01
Shoppers ask in their own words
By text or with a photo: “outfit for a summer wedding”.
- 02
The request is understood
Occasion, style and feeling are matched against your enriched product data.
- 03
Looks and pieces come back
Complete looks and matching products from your range, not a list of keyword hits.
- 04
The chat refines them
“Less colourful”, “with flat shoes”: the styling assistant carries on from there.
Compared with
today
| mixNmatch | Keyword search | Generic AI chat | |
|---|---|---|---|
| Understands occasion and style | Yes | No | Yes |
| Answers with complete looks | Yes | No | No |
| Only your products, only what is in stock | Yes | Yes | No |
| Works with a photo | Yes | No | No |
What a shop could do with it
Personal AI styling assistant
What does the AI styling assistant do?
The AI styling assistant brings the conversation of a good sales assistant into your online shop.
A shopper writes what they need, for example “a wedding in June, garden party, nothing too formal”, and the assistant answers with complete looks from your current range. The shopper reacts in their own words, “less colourful”, “with flat shoes”, and the looks are refined accordingly. Every suggestion links straight to the products. The assistant uses only your own catalogue, AI interactions are labelled in line with the EU AI Act, and what shoppers ask for becomes demand data for assortment planning.
Via REST API: available for rapid custom co-design and piloting
The modules
Every module is available through our REST API and in the Shopify app.
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AI search in looks
02 · AI search & assistant
Search in your customers’ own words or with an image: it understands “comfy red sneakers” or “outfit for a summer wedding”, and answers with products and complete looks.
-
Smart Filters
01 · Product data enrichment & AI visibility
Filters by style, occasion, fit or preference instead of only size and colour.
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Personal AI styling assistant
02 · AI search & assistant
Via REST API: available for rapid custom co-design and piloting
A styling chat in your shop: shoppers describe the occasion, get looks from your range and refine them.
Common questions
What is the difference between AI search and the styling assistant?
AI search answers one request with products and complete looks. The styling assistant continues the conversation: the shopper refines the looks in her own words, for example “less formal” or “with flat shoes”. Both run on the same engine and the same product data.
What does AI search need from our side?
Your product feed. AI search runs on the attributes that Smart Product Tags add, so it can find products by style, occasion, fit and colour family even when the product title does not say so.
Does this replace our current search or personalisation tool?
Not necessarily. Most teams add mixNmatch as a styling layer next to what they already use.
Which languages do you support?
German and English.
Your catalogue,
styled
Tell us about your shop and your KPIs. We prepare your offer and a demo on your own product pages, ready within 1 day.