AI styling for fashion brands and retailers

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.

For fashion brands and multi-brand retailers in the DACH region and Europe: brands on Shopify that want an app without integration work, and medium to large brands, department stores and marketplaces on other systems that connect through our REST API.

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.

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.

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.

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.

“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.

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.

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.

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.