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ISM instantly arranges items in a woman’s wardrobe into stylish outfits and adds items to those looks that can transform her style.

Users can swipe right or left to like or dislike a look or individual item. The algorithm learns their preferences in 6 swipes.

These can be items in your wardrobe or any product you’ve seen at a store, online or in a magazine.

94% of women say they want help with styling and shopping.

Yet, 94% of businesses say they are unable offer real-time personalisation for an individual user! They spend $11B/yr trying to deliver deep personalisation. ISM is their answer - we help users find their perfect outfits in seconds and help brands personalise the experience for each individual user.

Users upload 200 images from their wardrobes, use the app 24x a week and have delivered 3-7% mobile sales conversion. This has attracted acquisition offers from ASOS and Google (which we've declined) and paid pilots with the largest European and US retailers.
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Stefano Antonelli
Avatar for Stefano Antonelli
Previously co-founder of ERIS4
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