Ombré – A.I. Fashion Stylist

Your customer’s own personal stylist

You have probably noticed that your customers are always clueless about what to buy. The majority of fashion shoppers are always bombarded by options of clothes. This can discourage your customers to buy.

Ombré for Shopify increases your sales by mass-personalising your store to your customers. Imagine 10 different customers visit your online store. They will get 10 different customisations as to which clothes to buy. They will feel that your store is exclusively customised to them, based on their physique.

How does it work?

Ombré analyses two things: the traits of the clothes in your store, and your customer physical traits. We then match those two. To suggest the right clothes to the right customers. We optimise your clothes to the right customers, and we optimise the customers to the right clothes.

How is the digital stylist displayed?

When a customer visits a product page, there will be a subtle digital stylist plugin at the bottom right of the page.

At first, the customer will be asked to enter their physical traits (height, skin tone, and body shape). This process will only take less than a minute.

After they key in their traits, the plugin will inform whether an item is suitable with their physique or not in a form of scoring wheel. This is to increase customer’s confidence in buying your clothes. Your customers will also get matching product recommendations based on their physique.

About Lacuna Labs, the developers of Ombré

We are a medium-sized app development company whose mission is to provide useful, easy-to-use and reasonably priced apps to our customers, which not only add value to your stores, but also enhance its look and feel.

All our apps have been specifically designed with the user in mind. That is why all our apps have a one-click functionality and immediately after installation, are ready to go and automatically configured to your theme. Our team also customises our app to your theme and is here for any request you may have.

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