More confidence before checkout
Let shoppers see the product in their own context before the buy decision. The experience turns product imagery into a personal reason to add to basket.
Fashion ecommerce / Enterprise integrations
Add personal virtual try-on, outfit building and shareable looks to the store you already run. No replatform. Start with one measured pilot, then scale what converts.

Customer mode
One photo pair
Output
Two variants
The commercial case
Let shoppers see the product in their own context before the buy decision. The experience turns product imagery into a personal reason to add to basket.
Move beyond a single-item page. Outfit building creates natural cross-sell paths across clothing, footwear, bags and accessories.
Saved looks and shareable results create a customer-owned moment that can travel through wish lists, messages, creator content and campaigns.
Give launches and evergreen catalogue pages an interaction competitors cannot match with another static gallery or discount banner.
Revenue opportunity model
Model the commercial upside using your own traffic, conversion and order value, then turn the opportunity into a measured launch plan.
This is a planning model, not a performance promise. We use your pilot data to replace every assumption with measured assisted conversion, order value and return behaviour.
Directional annual case
£89,250
modelled additional revenue from 88 extra orders per month
Commercial impact
Randomised field experiments connect virtual fit information with higher conversion and order value, alongside lower fulfilment costs from returns and home try-on behaviour.
INFORMS, Manufacturing & Service Operations Management
Two large-scale field experiments found well-designed virtual fitting experiences can lift sales, satisfaction and post-sale outcomes. We build it as a premium part of the storefront, not a bolt-on widget.
Journal of Management Information Systems
Shopify reported a 94% average conversion lift for merchants using 3D product content. It is a powerful commerce signal for richer product interaction and a more active customer journey.
Shopify product data, reported May 2022
A systematic review of 80 studies connects try-on adoption with usefulness, fit, enjoyment and purchase intention. Privacy, body representation and ease of use are designed into the experience from day one.
Applied Sciences systematic review, 2024
Any stack, one pilot
We shape the customer surface around your storefront and connect it to the product, identity, consent and measurement systems already in place. The route depends on the stack. The customer experience stays yours.
Choose the customer journey, eligible catalogue and metric the pilot must move.
Fit the experience to the storefront, identity, product feed, analytics and consent model already in place.
Release to a controlled audience and compare try-on engagement, assisted conversion, basket value and return intent.
Integration brief
Share the stack, scale and commercial priority. We will reply with the next useful step, whether that is a product demo, technical workshop or scoped launch plan.
What we measure
Try-on starts, completion, assisted add-to-basket, conversion, order value, sharing and return intent.
Make the experience client-facing
Add this to your platform