Any shop system
The styling API: for fashion retailers on any shop system
The mixNmatch REST API is a modular, white-label styling and discovery layer for fashion retailers and brands on any shop system, integrated into your existing stack without a platform rebuild.
One interface for shop, app and store. You decide where and how results appear, or we build it for you.
Into your stack
Connects via our REST API to, e.g.:
- Custom, headless, microservices
- SCAYLE
- Salesforce Commerce Cloud
- SAP Commerce
- Shopware
- OXID
- commercetools
- and others
- One feed to start
- One connection to your product feed is enough to start. A demo needs nothing else.
- REST API, white-label
- We deliver the content; your front end decides placement and design, under your brand.
- Fast and resilient
- Built so that your pages render without waiting for our service.
- Next to your tools
- Works alongside your existing search and personalisation tools, as a styling layer.
- Built by us, on request
- A custom widget, app view or styling page, if your team has no capacity right now. Services
- Modular
- Start with the levers that matter most and roll out per module and per market.
Your team decides
The mixNmatch Console keeps a human in the loop. Looks are composed in advance, together with try-on previews, and your team approves them before they go live. Each approved look can carry a styling tip.
We set up the style direction together at the start: which categories may be combined, which pieces never appear together, and how your brand speaks.
Your path to going live
Your path to going live
For the custom demo we only need the link to your shop. No integration, no commitment.
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01
Within 1 day
Custom demo
mixNmatch on your own product pages, with your own products.
Needs: Only your shop address
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02
In 1 week
POC on your full catalogue
Looks and data across your whole range. We agree the focus use case, KPIs and tracking with your team.
Needs: A complete catalogue feed
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03
In 3 weeks, POC included
Pilot and go-live
Integration, review in the mixNmatch Console, a staging test, then live with your focus use case.
Needs: Integration, traffic and clean tracking
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04
Ongoing
Scale
Roll out what works and add the next module.
Needs: Your decision
KPI tracking
- Average order value
- Time on page
- Engagement
- Conversion
Impact measured against a baseline. An A/B test is possible if you wish.
All modules
Modular: only the building blocks you need.
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Smart Product Tags
01 · Product data enrichment & AI visibility
AI reads every product like a stylist and fills in style, occasion, fit, material, details, season and colour family. New products are enriched automatically.
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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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GEO for LLM Visibility
01 · Product data enrichment & AI visibility
Generative engine optimisation (GEO): taxonomy, attributes and texts that ChatGPT, Gemini and other AI assistants can read. This makes your products eligible to be found; we do not promise rankings.
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AI Visibility Monitoring
01 · Product data enrichment & AI visibility
An ongoing view of how complete and AI-ready your catalogue is per category, and what to fix next.
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Complete the Look
02 · Complete the Look
On-brand outfits on every product page, across clothing, shoes, bags and accessories, with alternatives per piece. Only from your catalogue.
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Cart completion
02 · Complete the Look
Shows the looks that can be built around what is already in the cart, with new pieces from your other categories.
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Capsule Creation
02 · Complete the Look
Via REST API: available for rapid custom co-design and piloting
Season or theme capsules of 8 to 15 products that combine into many outfits, for campaigns, landing pages and newsletters.
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Looks wall
02 · Complete the Look
A feed of generated outfits and try-on looks for your home page, category pages or a page of its own.
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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.
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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.
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Virtual try-on
02 · Virtual try-on
Single pieces or complete looks on one of several AI models or on the shopper’s own photo, with versions to switch between. Labelled as AI-generated.
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On-model Product Imagery
02 · Virtual try-on
Turns two or three product shots without a model into catalogue-style on-model images, with your approval before publishing.
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Personalised Recommendations
03 · Personalisation, CRM & in-store
Products and looks based on style preferences, likes and previous purchases.
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Personalised Content
03 · Personalisation, CRM & in-store
Personal looks for email and WhatsApp instead of one newsletter for everyone.
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In-store Styling Assistant
03 · Personalisation, CRM & in-store
Looks from the store’s own range on a tablet or screen, for the sales team or the customer.
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Styling in your brand app
03 · Personalisation, CRM & in-store
“Style it with” on every product, with try-on, new looks for pieces she already bought, and looks to save and share.
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QR codes in the print catalogue
03 · Personalisation, CRM & in-store
A QR code next to every look: scan it and land on the product page with the whole look, more ideas and try-on.
Security & data
Procurement, data protection and IT security reviews are part of every enterprise project, and we plan time for them from the start.
App and data hosted in the EU; AI sub-processors are listed in the DPA (available on request).
Trust & dataEU provider, GDPR-compliant
mixNmatch is a company based in Frankfurt am Main and processes data in line with the GDPR. App and data are hosted in the EU; AI sub-processors are listed in the data processing agreement, available on request.
Data processing agreement
Whenever personal data is processed, for example try-on photos or personalisation signals, we sign a data processing agreement (AVV / DPA under Art. 28 GDPR) with you.
You own your data
You own your product data, customer data and content. Your product data is used to deliver the service for your shop; nothing brand-identifiable is shared with other clients.
AI content is labelled
AI-generated images and AI interactions are labelled in line with the transparency rules of the EU AI Act.
Human review
Optionally, your team reviews generated looks and images in the mixNmatch Console before they go live.
Common questions
How much integration work is it?
For the custom demo: none. We only need the link to your shop. For the POC we need your product feed. On Shopify you install the app and choose where the blocks appear, without edits to your theme files. With the REST API, your team connects the results to your front end, and we help with it.
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.
How do you measure success?
With KPIs we agree with you at the start: for looks and try-on mainly average order value and time on page, plus engagement, reactivation and conversion. We measure the impact against a baseline of your historical figures or, if you wish, with an A/B test. We set up the tracking with your team and review the success together.
What about GDPR and data protection?
We are an EU provider and process data in line with the GDPR. App and data are hosted in the EU; AI sub-processors are listed in the data processing agreement, which we sign with you wherever personal data is involved, for example try-on photos. Your data stays yours.
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.