The pandemic has changed the way industries operate. We can see that many business operations and processes are embracing digitization at present, with innovations like Artificial Intelligence (AI) and big data at the forefront of this development.
Like the other industries, the beauty industry is also finding new and ultramodern ways to keep consumers connected, engaged, and secure. Since it also continues to deal with consumers and their data, it seeks to fast-track and ensure seamless data safekeeping and processes through introducing a plethora of AI applications in beauty product marketing and management. Many also use AI approaches to quantify beauty standards, which are generally subjective and hard to measure.
There are limitless possibilities to explore when it comes to AI and the beauty industry. To go further, let’s study how AI revs up the industry.
AI innovations disrupting the beauty realm
We’ve listed down AI innovations that the beauty industry continues to employ and enrich. Let’s read on!
1. Next-level personalized recommendations
As consumers continue to hunt for more personalized solutions to their online shopping experience, many brands are now including AI-powered platforms to propel this. Such platforms have the technical capabilities to undertake personalization. AI can sift and function with loads of data, so it can give specific replies to consumer questions based on its observed dataset patterns and trends. One example of this is an application that recommends skincare regimens based on one’s skin condition and type.
There are also known brands that have platforms that analyze skin selfies and suggest relevant products to try out. Some also ask consumers to answer surveys with a set of questions about their hair and skin needs and provide a video chat opportunity with a trained hair colorist for minutes to create a personalized product kit that can be used at home.
2. Virtual mirrors
Trying on makeup in a virtual setup has become easier with the advent of ‘virtual mirrors’ which are apps that utilize computer vision technology to be able to display how the customer would look like wearing certain products like clothes, eyewear, and makeup.
These virtual try-out services are hassle-free because they allow customers to wear their products without having to walk into a physical store.
3. Virtual makeover
Virtual makeover, as the name suggests, encourages consumers to share data about their skin type and preferences, and then capitalizes on data sets to pick out products. Afterward, a brand will try to suggest personalized and specific answers to each consumer. One example is that consumers are asked questions about their look, their desired look, and their preferred curated look in response.
Such data collection that delivers data based on keywords generated by consumers is called Natural Language Processing.
4. Shade matching
Nowadays, consumers seem to have gotten used to utilizing technologies and online services to receive reliable shade matching. Most of them are also embracing the idea as they feel safer and more comfortable using this touch- and risk-free method.
While there are still things to improve on, there are already AI technology platforms that can provide unbiased, accurate shade-matching services for women with different skin tones. After the sharing of biometric data, platforms can create assessments and less subjective suggestions based on data.
With this shade matching technology, it’s easier for consumers to find the shade and styling that suit them best, streamlining their purchasing decision.
5. Face mapping
Another AI in beauty development is the skin diagnostics tool through face mapping as well as product recommendations. By sharing a simple selfie, a lot of skin-related data can be extracted by the technology tool. Consumers can identify easily what their skin types are, the undertones that they have, and if they have common skin issues like dryness, oiliness, acne, rosacea, pores, and many more. Cosmetics brands can leverage this to provide tailored product recommendations.
6. Data-driven product development
Cosmetics brands receive thousands and even millions of consumer feedback and reviews to listen to so they can develop a product that would work well for consumers. The good thing is, with Natural Language Processing, it becomes simpler for brands to analyze large amounts of data, current trends, and customer preferences even those on social media and websites. This way, companies get to develop products based on consumer demand.
7. Heralding the beauty revolution
The beauty industry has been revolutionizing the world as it continues to employ disruptive technologies like AI even amid the pandemic.
Consumers likewise continue to grow more comfortable with virtual beauty solutions, implying the innovation’s upward trajectory in the years to come.