Our business goal is to become the Netflix of beauty. Think about it: When Netflix recommends movies, it breaks down a movie’s characteristics into granular data points and then makes a recommendation based on movies that you’ve watched before and other demographic factors. HelloAva is doing the same thing with AI, only with skincare products.
We built our own recommendation system for our business by creating data points around the characteristics of each skincare product in our database, as well as the information and preferences provided by our users.
Here’s how it works: Our customers fill out a quiz detailing their skin type (such as oily, dry or pigmented), their concerns (such as acne, dullness or redness) and other requirements (such as cruelty-free, organic or price range). HelloAva’s proprietary algorithms – using hundreds of data points – then match that unique customer to appropriate products from the 200-plus brands we partner with. Our service also includes a 10-to-15-minute video call with a licensed aesthetician. The $10 consulting fee is later applied to any product purchase.
Thanks to AI, our customer now has a highly accurate, personalized recommendation. And it doesn’t stop there. Skincare is a constant journey. Skin changes over time as you go through life stages like pregnancy or aging. Your skin may be oily in the summer and dry in the winter. Your skin is not going to be the same a year from now. That’s why customer feedback is so important.
Over time, the customer adds new information about the products they’ve used – what’s worked, what hasn’t and what’s changed. We track those data points on a dashboard so that the algorithm gets even smarter, using what’s called deep learning.
AI has always been the inspiration for HelloAva. Deep learning technology that replaces or augments work by humans has already disrupted the movie industry, dating apps, travel planning and more. Who’s to say the same can’t happen to the world of beauty?