Common questions: from fashion shops

Three weeks in total. The custom demo is ready within 1 day and needs only your shop address. The POC on your complete catalogue follows within a week. You are ready to pilot and go live within 3 weeks, POC included. On Shopify, you can go live within a week. With the REST API, your team’s integration work sets the pace of the last step.

Your own product pages with looks and try-on on them, ready within 1 day. It needs only your shop address, with no integration and no commitment.

mixNmatch on your full catalogue instead of a few pages, within a week. It shows how looks and enriched data work across your whole range, and we use it to agree the focus use case, the KPIs and the tracking with your team.

Not for the custom demo or the POC. On Shopify, the blocks are added through theme app extensions, without edits to your theme files. With the REST API, your developers connect the results to your front end.

It is built not to. Your product pages do not wait for our servers to render, and on Shopify the blocks come through theme app extensions, without edits to your theme files. We check the loading behaviour together on staging before going live.

Any. Through our REST API, mixNmatch connects to custom and headless shops and to systems such as SCAYLE, Salesforce Commerce Cloud, SAP Commerce, Shopware, OXID or commercetools. On Shopify, the Shopify app installs without integration work.

Yes. Through our REST API, your front end decides where and how results appear, in a headless shop, an app or a screen in the store.

Only your shop address: we build the custom demo from your own product pages. For the POC on your complete catalogue we then need your product feed with images, title, description, category, colour, price and availability, in whatever format you have: a Google Merchant feed, an API or your Shopify catalogue. Style, occasion and fit we add ourselves. Customer data is optional and only needed for personalisation.

mixNmatch is an AI styling and product discovery engine for fashion e-commerce, made by co-fashion UG (haftungsbeschränkt) in Frankfurt am Main. It enriches product data, builds complete looks from a shop’s own catalogue for product pages, the cart, search and CRM, shows them on AI models or on the shopper’s own photo, and personalises styling for each customer. Fashion brands and retailers in the DACH region and across Europe get it as a Shopify app or through a REST API, with consulting and custom development on request.

Wherever your customers decide: on the product page and in the cart (Complete the Look), in search and in a styling chat, in virtual try-on, in personal newsletters and WhatsApp, in your brand app, in the print catalogue via QR code and on a tablet in your store. You choose the places; the engine and the data behind them stay the same.

“Customers also bought” looks at past orders, and a chat bot waits for a question. mixNmatch puts a complete outfit from your own range directly on the product page, for every product, and lets the shopper refine it and try it on.

Practically endless look combinations and content. Don’t limit yourself to the few curated looks your campaign team can make, which take a lot of time: your AI stylist creates them in seconds. They go live directly, or through a review by your team when you want more curatorial control.

Yes. Outfits are built only from your own catalogue, across your categories, and sold-out items are replaced.

The engine learns your range and your style rules. We set up the style direction together at the start. Your team can review looks in the mixNmatch Console before they go live.

It works best with about 1,000 styles or more across several categories, such as clothing plus shoes, bags and accessories. A look needs pieces to combine, so a very narrow range gives fewer looks. Tell us your numbers and we will say honestly whether it fits.

No. mixNmatch offers styling, not coupons: pieces that go together, built from your range. Your prices and your margin stay as you set them.

Not necessarily. Most teams add mixNmatch as a styling layer next to what they already use.

For looks, try-on on AI models and enrichment: your product feed. Customer data is optional and only needed for personalisation, and try-on with a shopper’s own photo needs that shopper’s clear consent. Where personal data is processed, we sign a data processing agreement with you.

No. Your product data is used to deliver the service for your shop, and nothing brand-identifiable is shared with other clients.

You do. You own your product data, your customer data and your content. We use your product data to deliver the service for your shop, and nothing brand-identifiable is shared with other clients. On Shopify, the enriched attributes are written back to your store.

Try-ons on AI models are content you can use on different pages and channels, to give customers further inspiration. For try-ons with a shopper’s own photo, made with clear consent, you define the retention and privacy policy yourself. For registered users, you could for example offer a private view of all the looks they created, as a personal look book. Every generated image is labelled as AI-generated.

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.

Yes. Try-on and generated imagery are marked as AI-generated, following the EU AI Act.

Answer a few questions about your shop: your catalogue size, monthly users, the KPI you want to improve and the use cases you care about. Then book a short call, and we walk you through your offer and custom demo.

We do not publish prices: every store is different, so we quote for your case. The price depends mainly on the breadth of your catalogue, your traffic volume and the modules and customisation you choose. Set up a short call, and we walk you through your offer and your custom demo.

No. We show mixNmatch on your own product pages, with no integration and no commitment.

We quote per engagement after a first meeting about scope and goals. There are no fixed packages.

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.

Yes. Besides the baseline comparison against your historical figures, an A/B test is an option. It needs enough traffic to give a clear reading, so we decide on it with you when we set the KPIs and the tracking, and review the results together.

For looks and try-on mainly average order value and time on page, plus engagement, reactivation and conversion. For product data, the completeness of your catalogue and traffic from AI assistants.

Engagement shows from the first days of the pilot. How quickly order value and conversion can be read depends on your traffic, so we agree the reading period when we set the KPIs.

No, and nobody honestly can: each AI channel decides its own ranking. What we can do is make your product data complete and readable for them, which is the precondition for being recommended at all.

A few hours, and no extra tech support or integration effort is required from your end. You install the app, connect your catalogue and choose your modules and where they appear, and you can go live within a week. We are there to support you.

Yes. Tell us about your shop: the setup takes a few hours, and you can go live within a week. If you want to help shape the coming modules, you can join the Design Partner Circle as well.

A group of fashion brands on Shopify that help us shape the coming modules around their needs and pilot them with us. You get a direct line to our product team; in return, you give regular feedback, and if you want, we publish a joint use case with KPIs you have approved. More modules follow, based on what partner brands ask for.

Yes. The modules are available through our REST API for any shop system, including custom and headless shops. Capsule Creation and the personal AI styling assistant are available for rapid custom co-design and piloting.

On Shopify, the attributes are written back as product data and metafields. With the REST API, you receive them for your shop system, PIM or search, in the format you need.