Level 1 Sponsor
StyleScript, the leading AI Fashion personalization e-commerce engine, creates happy digital customers through scalable 1-on-1 matching for each individual’s unique personality.
Jonna Fassbender, CEO and founder of StyleScript will be showcasing the company’s AI toolkit and demonstrating how less is more when it comes to providing the best personal style advice to a customer.
With StyleScript we bridge the gap between product and personal style or taste. Whether a product - especially a fashion product - matches your style or not, is very subtle. Besides the hard ‘product specs’ there are a lot of details that convinces individuals that a product is something they would like to add to their wardrobe. We know how to deconstruct lifestyle products as well as personal styles in order to explain shopping arguments and behavior on product and collection level. We know all about those ingredients that represent a particular style in the visual culture. We call it our visual fashion style attributes and universal visual style language. And finally, we can connect this information to the life values of individuals. A very interesting part of the process which gives us the opportunity to design an algorithm that can change the future of retail, e-tail in particular.
We teach AI algorithms to make individual-specific predictions, matching products with purchaser and ranking them according to which items the visitor is most likely to be interested in. “If the customer has shopped in the store before, we will match products in the pool. “If the customer has not shopped in the store before, we will match products with other products in the pool or ask for products. This all happens in the blink of an eye, and algorithms continuously improve as new data is fed into the system.
We help to create a smoother user experience and improve customer retention through personalization. Online fashion platforms use our AI enhancements to help generate spot-on product and outfit recommendations, including virtual storefronts with personal recommendations. Tailoring to individual shoppers and their unique characteristics and preferences. This personalization results in an increase of conversion and average order value while creating more loyal customers and less returned orders.