With the continued push toward a digital shopping experience, brands need a way to satisfy customers remotely. That’s why AI technology is becoming more important than ever with offerings like virtual try-on and personalized shopping. These services allow a customer to mimic the in-person shopping experience by allowing them to see what products would look like on their face.
One specific feature that may improve an online store’s offerings even further is AI Face Analyzer technology. This solution goes a step beyond ordinary virtual try-on and helps beauty brands better understand customer’s facial attributes to provide targeted, personalized recommendations to each shopper based on the analysis.
AI Face Analyzer Technology: The Ultimate Personalization
What is AI Face Analyzer technology? It’s a means for beauty brands and retailers to provide their customers with a completely personalized shopping experience based on their specific attributes. The technology detects and analyzes over 70 AI facial attributes & traits, as well as one’s color palette.
Based on these results, shoppers receive personalized product recommendations. These recommendations are all tailored to their needs, meaning they should perfectly match their complexion and complement their features. The tool then allows them to instantly try selected products via AR virtual try-on. They’ll get to see right away whether or not the products work for them.
Having this type of personalization is important. As many as 71% of customers become frustrated when their shopping experience is impersonal (“The 2017 State of Personalization Report”). When brands provide such a unique shopping experience, it can increase sales conversions and improve customer satisfaction.
As an example, some brands report seeing a $20 return on just a $1 investment when it comes to using advanced personalization techniques similar to virtual try-on (Collins). Brands that take these extra steps to help customers enjoy the shopping experience are sure to reap similar benefits.
Lastly, one of the most prominent benefits of the AI Face Attribute technology is its noteworthy ability to replace the online survey method that beauty brands have traditionally relied on. This method is used to acquire essential information about each individual consumer in order for beauty brands to provide a more personalized shopping experience. However, online survey method has some significant drawbacks, such as:
- Unreliability. Consumers don’t always provide accurate information as they simply might not know enough about their facial traits. For example, a customer might be unable to distinguish between a round and an oval face shape, but the AI Face Analyzer technology does so accurately and subjectively
- Survey fatigue. Oftentimes, online surveys make customers lose their patience, as filling out surveys is a tedious and wearisome process. Most customers would not want to spend more than a minute or two on a survey prior to buying what they need. This usually causes high rates of abandonment during a shopping journey. On the contrary, the AI Face Analyzer technology does not require any user inputs and completes the entire analysis in under 2 seconds.
AI Face Analyzer Solution Applies to a Wide Range of Products
AI Face Analyzer can be used in a wide array of applications. Brands aren’t limited to just one type of product. Upon completing the analysis, AI tech can recommend makeup products, styles, looks, and suitable colors from throughout the brand’s catalog.
Using makeup recommendation as an example, it becomes clearer how this would work for a brand offering numerous products. First, the user would head to the site and grant the AI technology permission to use their likeness. The technology then analyzes the user’s facial attributes, as well as the color/shade of their hair, eyes, and lips.
With this data analyzed, AI and Big Data provide personalized recommendations for makeup, eyewear, and more based on the results. It can determine what products would work best for the particular user and help them best address their concerns. The system scans for product matches based on similarities with skin tone and other facial attributes and matches them with SKUs from the brand’s inventory.
Once these products are selected, users can virtually try on their best-match items. They’ll be able to mix and match to see which styles they like best, and they can even find adjacent styles that they might prefer by browsing similar products. Because they’ll have recommendations for their whole face, it allows brands to present their products as a whole package rather than single items.
Personalized Beauty Has Never Been More Accessible
The reason AI Face Analyzer is so effective is because it detects and analyzes a wide range of facial features. Currently, the AI Face Analyzer solution analyzes up to six facial traits and 70+ attributes for personalized recommendations, including:
- 6 facial attributes
- 7 lip attributes
- 14 eye attributes
- 4 cheekbone attributes
- 6 nose attributes
- 11 eyebrow attributes
- 5 types of tone/shade detections: skin tone, eyebrow color, eye color, hair color, and lip color
Every face is different, but AI Face Analyzer can detect even the smallest differences between customers, allowing for the best personalization. Furthermore, it supports color detection for more precise recommendations. Users can have their skin tone/shade, eyebrow color, eye color, hair color, and lip color analyzed to see what products would look best on them.
At the end of the day, AI Face Analyzer solution is the ultimate personal shopping assistant. It will help customers find the best products for them and prevent unnecessary purchases. They’ll have more faith in what they’re buying, even if they’ve never tried it in person, because they know it was hand-selected for them by AI technology.
Personalize Your Shopping Experience With AI Face Analyzer
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Collins, Kimberly. “ROI on advanced personalization: $20 return on $1 investment, new report finds.” ClickZ, 16 Sept. 2019, https://www.clickz.com/roi-advanced-personalization/255692/.
“The 2017 State of Personalization Report.” Segment, http://grow.segment.com/Segment-2017-Personalization-Report.pdf. Accessed 28 April 2021.