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Say Bye To Wrinkles, Thanks To These AI Tools: Know More

A clutch of startups as well as legacy players in the beauty and personal care (BPC) space are supporting the advantages of artificial intelligence with a requital.

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The enormous surge in consumer data collected over the past two to three years is a crucial element that empowers startups to continuously innovate and make frequent upgrades to their technology platforms

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A clutch of startups as well as legacy players in the beauty and personal care (BPC) space are supporting the advantages of artificial intelligence with a requital.

The reason why consumers love the experience, is because AI is helping them to look better. The AI model will process and identify even the tiniest of problem areas, so users can capture their selfies from different angles. offering real-time recommendations, the model will identify skin types, acne, dark spots, discolouration, dryness, uneven skin, wrinkles and pores.

Vivek Parihar, head of engineering, Purplle told that, for representative cases, Purplle uses an autogenous tech tool called ‘The Purplle Skin Analyser’ which leverages AI-powered image recognition to analyse users’ skin conditions in real time.

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Hyper-personalised recommendations is offered by the tool which uses machine learning, i.e the firm’s smart CRM – customer relationship management.

Parihar also explains that “It also takes into account customer behaviour, supported by a dynamic GPT-powered content library and automated journey mapping to optimise customer interacsion”.

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ModiFace used by L’Oreal products, which Nykaa retails, enables consumers to view products in an augmented reality (AR) experience through an advanced Al-powered virtual try-on technology. With an average of 88% accuracy, the software can detect face shape, skin tone, hair colour and more.

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

“We use an ML algorithm that suggests things like say, people who have bought SUGAR Ace of Face foundation are more likely to purchase mascara, based on their purchase history”, says Jasmin Gohil, chief technology officer of the company.

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Logistics partners delivering orders to users in short span of time and startups also leveraging AI and ML tools to select the right warehouse. Deep Ganatra, CTO, The Good Glamm Group says, “these technologies have helped us plan inventory and forecasting, which has resulted in huge cost savings and better turnaround time”

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