How a skincare brand achieved 20,000+ skin scans and a 49% scan-to-cart conversion using GlamAR
Pubblicato
22 dicembre 2025
Introduzione
Industria
Skincare
Nel cuore dei mercati indiani della gioielleria, dove la tradizione guida ancora le scelte, l'artigianato è prezioso e le visite di persona in negozio rimangono il modo più affidabile per acquistare. White Cut Diamonds, nota per gli squisiti gioielli con diamanti coltivati in laboratorio, iniziò silenziosamente a scrivere un diverso tipo di storia.
The belief was simple: every product should solve a real skin concern, not just follow a trend. Naturally, the brand wanted the shopping experience to follow the same philosophy. But reality is very different from theory. Every customer's skin is different, which means a one-size-fits-all storefront cannot deliver truly personalized recommendations.
The skincare brand needed to bring real, personalized skin consultations into its app without making the experience feel clunky or bolted on.That is the problem GlamAR came in to solve
The belief was simple: every product should solve a real skin concern, not just follow a trend. Naturally, the brand wanted the shopping experience to follow the same philosophy. But reality is very different from theory. Every customer's skin is different, which means a one-size-fits-all storefront cannot deliver truly personalized recommendations.
The skincare brand needed to bring real, personalized skin consultations into its app without making the experience feel clunky or bolted on.That is the problem GlamAR came in to solve
Problema
L'acquisto di gioielli dipendeva ancora fortemente dall'immaginazione. I clienti di White Cut Diamonds hanno spesso dovuto affrontare un'esitazione che ogni gioielliere conosce fin troppo bene:
«Mi andrà bene?»
«Come apparirà sul mio viso, sul tono della mia pelle o sulla mia scollatura?»
«Devo provare qualcos'altro?»
"Will it solve my problem or make it worse?"
"How do I know I am choosing the right serum?"
For most shoppers, the answers are rarely obvious.
After all, everyone’s skin is different. One customer may struggle with acne while also having dehydrated skin. Another may want to reduce pigmentation. Someone else may simply want healthier-looking skin but have no idea where to begin
However, most e-commerce experiences treat all of these customers the same
As a result, shoppers scroll through hundreds of products, read reviews, compare ingredients, and hope they make the right decision. The process feels more like guessing than receiving expert advice
The skincare brand wanted to change that.Instead of asking customers to figure everything out on their own, the brand wanted every shopper to receive recommendations based on their unique skin concerns
However, there was another challenge
The skincare brand already had its own mobile shopping experience. It wanted to introduce AI-powered skin analysis within the app without disrupting the customer journey or forcing customers to switch between different platforms
The experience had to feel completely native
Customers needed to be able to complete a skin scan, receive personalized recommendations instantly, and continue shopping without ever feeling as though they had left the application
Building this kind of seamless experience required more than an AI model
It required custom engineering
After all, everyone’s skin is different. One customer may struggle with acne while also having dehydrated skin. Another may want to reduce pigmentation. Someone else may simply want healthier-looking skin but have no idea where to begin
However, most e-commerce experiences treat all of these customers the same
As a result, shoppers scroll through hundreds of products, read reviews, compare ingredients, and hope they make the right decision. The process feels more like guessing than receiving expert advice
The skincare brand wanted to change that.Instead of asking customers to figure everything out on their own, the brand wanted every shopper to receive recommendations based on their unique skin concerns
However, there was another challenge
The skincare brand already had its own mobile shopping experience. It wanted to introduce AI-powered skin analysis within the app without disrupting the customer journey or forcing customers to switch between different platforms
The experience had to feel completely native
Customers needed to be able to complete a skin scan, receive personalized recommendations instantly, and continue shopping without ever feeling as though they had left the application
Building this kind of seamless experience required more than an AI model
It required custom engineering
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La soluzione
GlaMar ha dato ai diamanti a taglio bianco ciò di cui avevano bisogno: la capacità di offrire un'esperienza di acquisto moderna senza perdere la fiducia e la tradizione apprezzate dai clienti
Personalized skin analysis inside the app
Le prove AR consentono agli acquirenti di visualizzare orecchini, anelli e braccialetti su se stessi in tempo reale, offrendo loro una chiarezza realistica e la sicurezza di prendere decisioni più rapide e semplici
Recommendations tailored to every customer
Instead of showing the same products to everyone, GlamAR analyzed individual skin concerns and recommended products that matched each customer's unique needs, making every recommendation more relevant and trustworthy
A custom integration built from the ground up
Rather than forcing the skincare brand to change its existing technology, GlamAR built a custom integration that fit seamlessly into the brand's mobile experience, delivering personalization without disrupting the customer journey
Smarter customer engagement beyond the scan
Every skin scan, recommendation and product interaction became valuable customer insight. This helped the skincare brand to better understand shopper behavior and deliver more personalized engagement even after the consultation was complete
L'impatto
Quando i clienti hanno finalmente visto su se stessi i modelli scelti, l'esitazione è svanita e l'esperienza ha semplicemente avuto più senso
More than 20,000 personalized consultations
Thousands of customers completed AI-powered skin scans, turning product discovery into an interactive skincare consultation instead of simple browsing
Nearly half the users acted on recommendations
Almost 49% of customers who completed a skin scan added a recommended product to their cart, demonstrating the power of personalized recommendations over generic product suggestions
Faster adoption week after week
Customer engagement continued to accelerate, with the AI skin analysis experience delivering 2.4× week-over-week growth during the first month after launch
The skincare brand had already built its reputation on research-backed skincare. With GlamAR, the same scientific approach became part of the buying experience, helping customers understand their skin before choosing products and making online skincare shopping feel far more personal
The skincare brand had already built its reputation on research-backed skincare. With GlamAR, the same scientific approach became part of the buying experience, helping customers understand their skin before choosing products and making online skincare shopping feel far more personal
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