This case study shares how we built an AI-powered iOS app for a cosmetics industry that empowers consumers to easily find safe beauty products that satisfy their specific skincare needs.
Skincare routine based on a user's unique skin type and needs
To compare prices and buy cosmetics from verified retailers
Analyzed ingredients to find the one that fits a user's unique skin best
Powered by real science to buy safe and effective beauty products
With thousands of beautyand skincare products on the market it's easy to be confused about which one is the best match for your needs. With this concept in mind, our client developed the idea to create a unique skincare AI-powered platform.
The main product idea is to leverage AI technology combined with scientific research to check product formulations for toxic or unsafe ingredientsand make independently validated safety guides available to consumers.
A highly-skilled team of Onix specialists followed the sophisticated process to build an iOS mobile app powered by AI and data science that helps people choose skin care products based on their age, unique skin type, needs, and lifestyle. The consumer-facing solution also recommends products to users based on their individual needs.
The users fill in a questionnaire, and the science-backed AI-powered recommendation engine of the app offers the most fitting products. The app lets users vet product formulations for safety and creates personalized skincare recommendations.
The main challenge we faced was data collection and maintaining a vast database. With the help of ML, we created and categorized all possible ingredients used in personal care products.
Managing projects is now easier since all the data is in one place. We built a sophisticated administrative panel that allows administrators to easily manipulate the data, handle it in the most convenient way possible, and organize the data through one simple interface.
To work with world-famous manufacturers, we built the project architecture so that the app has the highest level of security, usually required by large companies.
Using this feature, users can quickly search for products within thousands of brands, compare prices, and buy desired cosmetics only from verified retailers.
We built a website that addresses marketing goals helping our client sell more efficiently and grow faster. The website states its main value proposition clearly and succinctly. In addition, it reinforces the homepage with a video to explain the product features and increase visitors’ time on the page.
Using machine learning technologies, we enhanced one of the largest ingredient databases in the world that helps to understand products' benefits, toxicity, and other features. We developed a classification system for cosmetic products available on the consumer goods market, and numerous data scrapers focused on obtaining new information from the Internet, scientific literature, and articles in PDF format.
Thanks to the results of our collaboration, our client now has the leading ingredient transparency solution for the cosmetics industry.
To date, the app has analyzed more than 45,000 products and is highly rated by its users.
Now retailers can sell products more effectively based on consumers' specific personal needs, unique skin types, and so on. This solution empowers people to discover safe products that make them look and feel their best!