When artificial intelligence meets beauty, wrinkles disappear – Technology News

When hyper-personalization comes into play, a group of startups and legacy players in the beauty and personal care (BPC) industry are taking advantage of the benefits of artificial intelligence with a bang.

If consumers love this experience, it’s because AI helps them look better. Users can take selfies from different angles and the artificial intelligence model will process them to identify even the smallest problem areas. It will identify skin types, acne, dark spots, blemishes, dryness, uneven skin, wrinkles and pores and offer real-time recommendations.

For example, Purplle uses its own technology tool called The Purplle Skin Analyzer, which uses AI-based image recognition to analyze users’ skin health in real time. Vivek Parihar, head of engineering, Purplle told FE.

The company’s Smart CRM – a customer relationship management tool – then uses machine learning to offer hyper-personalized recommendations. “It also takes into account customer behavior, supported by a dynamic content library powered by GPT and automatic journey mapping to optimize customer interactions,” Parihar explained.

Similarly, L’Oreal products retailed through Nykaa enable consumers to view products in augmented reality (AR) through advanced Al-based virtual try-on technology called ModiFace. The software can detect facial shape, skin tone, hair color and other parameters, and its accuracy is 88% on average.

Vineeta Singh of SUGAR Cosmetics says technology has helped the team create a more interactive, efficient and enjoyable shopping experience by combining convenience with advanced digital features.

Jasmin Gohil, the company’s chief technology officer, says: “We use an ML algorithm that suggests, for example, that people who bought SUGAR Ace of Face foundation are more likely to buy mascara, based on their purchase history.”

The huge amount of data collected from consumers over the last 2-3 years is one of the main reasons why these startups are able to update their technology frequently. Data sets from thousands of people are first analyzed internally or in some cases by third parties, and then assigned to different categories such as dry skin, discolored skin, etc. Artificial intelligence technology is then used to inspect new photos and identify already flagged features.

This process led to seamless analysis of not only skin care products, but also lip and hair care products. For example, hair care startups like Traya and Ravel conduct quick online surveys on consumers’ hair type, select ingredients using ML algorithms, and offer customized products within minutes.

Apart from virtual trials, technology is also being used at various stages such as customer inquiries, customer feedback, logistics and warehousing. PEP Brands (parent company of mCaffeine and Hyphen) says it is leveraging advanced CRM systems by implementing Kapture, an AI-powered tool that helps the team more effectively categorize and analyze consumer queries.

Purplle search engine integrates features such as spelling correction and fuzzy logic, as well as a self-learning beauty dictionary powered by GPT. Additionally, it offers vernacular search in regional languages ​​with localized beauty-related queries.

Many startups have also leveraged AI and ML tools to select the right warehousing and logistics partners to deliver orders to users in a short time. “These technologies have helped us with inventory planning and forecasting, which has resulted in huge savings and faster turnaround times,” said Deep Ganatra, chief technology officer at The Good Glamm Group.