How To Use My New Charmant Digital Makeup Tool

As a adult female, I want to wear makeup and keep my skin healthy. As a project manager, I want my team to create industry-relevant solutions that solve customers' business challenges. What'due south the indicate?

Not so long agone, I participated in a brainstorming session with other development squad members. A skincare brand owner hired us for the Inception phase. Then, we needed to suggest relevant solutions to the business organisation disruptions COVID-19 had brought him.

Afterward two-hour discussions and liters of coffee, nosotros finally came up with a conclusion - we would integrate bogus intelligence and machine learning applications into his online store. Nosotros communicated this idea to the client, and he agreed.

Then, I decided to write this article considering the client'south case is a mixture of my master passions - dazzler products and intelligent technologies. Using the client's business challenges as an example, I'll tell yous how COVID-xix has changed the face of the beauty and cosmetics industry. I'll also draw how intelligent technologies tin turn the beauty manufacture gaps into gains.

What COVID-nineteen has changed in the dazzler and cosmetics manufacture?

The industry of beauty and cosmetics was ane of the near rapidly developing markets. In 2017, the dazzler industry acquirement was worth $474,179 million, and experts from Statista predicted the beauty industry to reach a market value of $571,696 in 2023.

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But then, the pandemic came. As for 2020, the beauty industry revenue is estimated at $483,338 million, compared with $504,501 one thousand thousand in income received in 2019.

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And there are co-dependent reasons for the beauty market autumn:

Global lockdown. Governments restricted the piece of work of offline stores and shopping malls. For established beauty brands, such a limitation wasn't very stressful because they already had operating online stores. Just for indie brands with retail stores located in ane region - such a situation was a disaster.

No consultants. Equally a result, the lockdown left beauty brands without an opportunity to provide a personalized skincare experience to their customers. Only, personalized suggestions of skincare products keep customers ( including me) from using products that don't suit our skin type.

Face up masks. Even after governments opened shopping malls and other public places, some issues remained. Hither is one instance. You can attend offline dazzler product stores. But how tin can you effort a new lipstick while wearing a mask? Selling beauty products offline became challenging also because the virus can travel from one person to some other via animate. And so, trying lipstick after someone had breathed on it could infect you lot with the coronavirus.

Less income. Since beauty consultants couldn't recommend products to customers offline, upselling and cross-selling also decreased. In dissimilarity,  online dazzler retailers, who integrated AI-powered product recommendations before the pandemic, significantly gained from these technologies. In electric current circumstances, production recommendation via AI is the single bachelor method to upsell and cross-sell beauty products online.

Late delivery. Closed borders complicated the provision of skincare and beauty products to warehouses. In contrast, online beauty brands with excess product stock faced decreased need from customers. Many of them lost their jobs due to retrenchment or defalcation and weren't ready to spend their terminal savings on makeup. In this instance, beauty brands met the need to quickly distribute makeup products with a curt shelf life to profit.

In a nutshell, the pandemic impacted the whole dazzler industry ecosystem - from shipment to distribution. Luckily, we are living in the historic period of intelligent technologies. And so, let's see how motorcar learning and AI in the beauty industry can smooth things over.

Related reading:

NIOXIN Consultation instance written report

Superlative five Artificial Intelligence and Automobile Learning applications in the beauty industry that confront COVID-caused disruptions

Before digging into details, allow's quickly clarify some bones terms:

• Bogus intelligence, as well known as AI, is a sub-niche of information science. AI algorithms are smart enough to acquit without homo intervention. Artificial Intelligence algorithms have a wide range of applications - from AR filters in Instagram and Snapchat to self-driven cars and voice assistants.
• Machine learning is a branch of artificial intelligence. Automobile learning algorithms leverage different learning models, depending on a particular business use case. In this manner, machine learning apps can automatically improve through feel. Netflix and Spotify adopted machine learning to provide users with more than personalized content suggestions.

Over the past years, both ML and AI algorithms have penetrated the dazzler and cosmetics industry. Experts predict spending for AI in the dazzler industry will grow to $7.3 billion by 2022.

Here are 5 major beauty AI applications cosmetic brands prefer:

• Augmented reality apps for virtual makeup effort-on
• Dynamic content personalization
• Voice banana for product recommendation
• AI-powered beauty product search
• Demand and supply forecasting tools

Such well-known brands as Coty and Shiseido already leverage bogus intelligence and machine learning technologies to adjust to the new normal and proceed customers engaged.

Let's find out how intelligent technologies work in more than detail.

1. Augmented reality for virtual try-on

Augmented reality is a applied science stack that enables adding virtual images to existent-life photos. Augmented Reality technology powers Instagram and Snapchat filters. Merely how does AR work?

• The intelligent algorithm detects the buyer's face past analyzing 100 focal points to find facial borders.
• The AI algorithm analyzes data points around facial characteristics to map the makeup on ane'due south confront.
• AR adjusts digital objects to the size of the face up and overlays them to a photo or video, and then artificial items fit perfectly.

In terms of beauty products and skincare, Augmented reality enhances the online shopping feel with the ability to try lipstick and center shadows virtually and even come across the result of anti-aging creams by detecting wrinkles, spots, skin texture, and dark circles.

The pioneers in AR applications for dazzler products were Perfect Corp and Modiface. Software providers used a combination of augmented reality deep learning and estimator vision technologies for a virtual try-on before it became a mainstream trend.

Perfect Corp has been on the market since 2014. The visitor Beauty SaaS - in-shop consultation, a mobile SDK, WeChat mini-program, and list your products in our award-winning app, YouCam Makeup. Such beauty brands as Yves Saint Laurent, L'Oréal Paris, MAC Cosmetics, and Macy's used Perfect Corp technologies for customers to take a virtual try-on feel.

Sentinel the video below to check out how you tin try various shades of makeup for the eyes, lips, and hair using your smartphone, create your look and even download results equally you use it as a reference for your makeup artist.

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Every bit for Modiface, it started in 1999 at Stanford University when one student-initiated research on automated facial analysis. The student's proper noun was Parham Aarab. He continued his research on face processing algorithms at the University of Toronto, and only in 2006 Parharm founded ModiFace Inc.

In 2018, Fifty'Oreal acquired ModiFace and used its technologies for an AI makeup app with augmented reality in cooperation with Facebook. Using Modiface, you can most produce products with a smartphone camera and then move to the product page to brand a purchase.

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2. AI-powered dynamic content personalization

Personalized is 1 of the nearly promising applications of artificial intelligence in the beauty industry. As Tapestry enquiry firm's study shows, shoppers spend eighty% of the time in the pre-search phase, while only 20% of website visitors add products to cart and checkout.

This means if you shorten their journey by providing them relevant items in the first place, customers are more likely to buy them.

There are several ways to utilize AI in the beauty industry for dynamic personalized content:

• Capturing and digitizing production, content, and customer data
• Tagging and organizing data into easily usable structured formats
• Optimizing costs through data-driven decisions

Lazada, 1 of Asia's leading marketplaces, adopted a dynamic personalization and the result was inspiring. The marketplace increased client date by 101%, overall acquirement per visit by 9.4%, the overall conversion rate by 11.5%, and customer retentivity by 35%.

3. Natural language Processing for total makeover product recommendation

Natural Language Processing (NLP) is a sub-niche of Artificial Intelligence. NLP combines linguistics, data scientific discipline, and AI algorithms to enable computers to empathize human linguistic communication. The departure between NLP-powered applications and uncomplicated chatbots lies in data input and output.

While simple chatbots engage closed questions with "Yes" and "No" answers or simple commands, y'all can communicate with NLP apps more than naturally and receive relevant not-pre-divers answers.

Beauty brands utilize Tongue Processing engineering science for smart digital administration that suggest products in a more than personalized manner. Since voice-driven beauty services work best combined with visuals, beauty brands target such apps for devices with screens. "Let'southward Become Ready", an NLP customer assistant by Coty, is a vivid example. The awarding was created for Repeat Show, Amazon'south beginning Echo devices with screens.

[Artificial intelligence makeup suggestions]

Coty, a multi-brand beauty corporation, launched "Let's Get Ready" in 2018. By using the app, buyers tin create personalized makeup, pilus, and boom looks for whatsoever event.

The app has the following workflow:

• The app asks for details nearly your wait preferences, hair, centre, peel colour, and the result you are attending, to get started.
• The app creates your profile, used past Alexa to recommend curated looks, visual tutorials, beauty tips, and recommended products from Coty's consumer beauty portfolios.
• The app then offers you lot a personalized total makeover wait from over 2,000 combinations of makeovers using Coty-owned brands products (Max Gene, Bourjois, Clairol, Rimmel, and Sally Hansen).

You tin check out suggested makeovers on a congenital-in screen and inquire Alexa to social club beauty products via the "Shop the Look" characteristic.

4. AI-powered dazzler product search

Providing personalized skincare and makeup product recommendations online is challenging. All the same, AI search algorithms simplify this task. AI search engines don't look like a simple search bar. Instead, such algorithms collaborate with buyer information during a short quiz.

Ane instance of an AI-powered search algorithm application is My Dazzler Matches, an online market. The website lists over 400,000 products on skincare, makeup, and body intendance.

• My Beauty Matches offers a quiz for new website visitors. With the quiz, the AI algorithm collects information almost pare blazon and condition, hair structure, and preferences in fragrances.

• The algorithm analyzes your data, finds relevant products in the database, and displays personalized product recommendations.

Perchance this is how beauty consultants will look in the futurity?

5. AI beauty supply and demand forecasting

The pandemic fabricated production shipment even more complicated due to closed borders and quarantine measures. Such a situation caused pregnant disruptions in the import of nutrient, industrial products, and the beauty manufacture.

We already described why AI is useful for effective supply concatenation management in our previous manufactures. At present, permit's run into how beauty brands use AI applications in demand forecasting software.

Machine learning algorithms are the leading tech solutions for supply and demand prediction. ML algorithms analyze historical information and make predictions of sales and aircraft volumes. Just, supply chain apps can predict hereafter demand in another fashion.

Predictive analytics create forecasts when historical data is no longer valid. Predictive analytics algorithms analyze the combination of external factors, including weather, seasonality, and public holidays to predict whether y'all need to order more reddish lipstick for a holiday season or not. In this way, predictive analytics aid beauty businesses to adapt to irresolute need weather condition.

NARS Cosmetics, a beauty product brand from French republic, leverages demand forecasting applications and customer data to learn more about their customers, skin tones, and other preferences to build new products.

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Shiseido, a Japanese multinational personal care visitor, is another dazzler make that keeps an eye on demand forecasting. As for November 2020, the company is looking for need planning specialists in the New York area to forecast their inventory in-business firm.

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Using machine learning and AI in the cosmetics market

Adopting artificial intelligence and machine learning has become more critical for beauty retailers in the past vi months. Cosmetics brands should remain proactive and continue investing in technologies because this is the all-time time.

People are bored of sitting at dwelling house with no ability to travel, so why not entertain them with virtual attempt-on or AI product search?

Even well-established cosmetics brands incertitude their supply concatenation and leverage data analytics to have information to rely on. Thus, you can't be too careful nigh staying relevant to your consumers and balancing your product stock.

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Related reading:

Biudee Personalized Skincare App Instance Report

Nioxin Client Consultation App Case Study

Source: https://theappsolutions.com/blog/how-to/how-to-use-ai-in-the-beauty-industry/

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