AI Case Study

Atolla identifies skin health issues and recommends skin care products using machine learning

Atolla is a skin care startup offering products specific to each consumer. Their treatment starts by testing the skin, for oil, moisture and pH. Based on the results the appropriate products are recommended. The company uses a machine learning model to generate skin archetypes based on all the factors that may affect the skin and another one to make predictions about skin change over time. Atolla wants to identify concerns across demographics, geographies and lifestyles to be able to create a personalised profile for each client.

Industry

Consumer Goods And Services

Personal And Household Goods

Project Overview

"Atolla, a skin care startup that got its roots at MIT, is launching a Kickstarter campaign to help people achieve their skin goals. Atolla uses machine learning to identify skin health issues and then recommend the right skin care products based on what affects your skin.

Atolla comes as a monthly subscription, with the idea being that you test your skin every month to see how it changes depending on the season. The kit allows you to test for oil, moisture and pH. Every month, you receive a customized product based on the data extrapolated from your skin.

“So we’re thinking that if we do this measurement for people like just once a month, after about a year we can start to predict how their skin’s going to change,” Atolla co-founder Meghan Maupin told TechCrunch. “It’s like, we know that your skin gets this percent dryer in the winter so before you actually have the issue of super dry skin, we already know that you need to use something that’s like this.”

Testing your skin takes just about 10 minutes (I tried it) and is pretty straightforward, thanks to on-screen directions from Atolla’s mobile app.

Atolla’s vision is to build a longitudinal data set that looks at skin concerns across demographics, geographies and lifestyles. Atolla use two distinct machine learning models. The first is to create skin archetypes based on all the factors that may affect someone’s skin, and the second is to predict how someone’s skin may change."

Reported Results

Proof of Concept; results not yet available.

Technology

Function

Marketing

Product Marketing

Background

Providing personalise health and beauty services is important for achieving optimal results for each single client.

Benefits

Data

skin types