Inference Beauty

𝟰𝟭,𝟯𝟬𝟬 𝗦𝗞𝗨𝘀. 𝟲𝟬,𝟬𝟬𝟬 𝗱𝗲𝗰𝗼𝗱𝗲𝗱 𝗶𝗻𝗴𝗿𝗲𝗱𝗶𝗲𝗻𝘁𝘀.

One question sits behind all of it:
Can your customers actually find what they're looking for?

Here's the problem almost every beauty retailer eventually runs into.

Their ingredient data wasn't designed for how people search today.

It's buried inside product descriptions.
It's inconsistent.
It's not structured.

And it isn't machine-readable.

For years, that was enough.
Today, it isn't.

Beauty shoppers aren't searching for products anymore.

They're searching for answers.
"Fragrance-free moisturiser with niacinamide."
"Silicone-free shampoo for colour-treated hair."
"Vanilla perfume without musk allergens."

Traditional e-commerce catalogs were never built for that level of discovery.
Neither was most retailer product data.

When Fragrancenet.com approached us, the objective wasn't simply to improve ingredient transparency.

It was to build the infrastructure needed for the next generation of beauty commerce.

That meant:
- Structured ingredient data
- Semantic product discovery
- AI-ready product information
- Ingredient-forward filtering
- Machine-readable metadata

Because here's what we've learned after working with beauty retailers across multiple markets:
Structured ingredient data is no longer just about transparency.

It's becoming the infrastructure behind AI-powered product discovery.

Beauty search has already changed.

The only question is whether your product data has changed with it.

𝗘𝘀𝘁𝗲𝗹𝗹𝗮 𝗕𝗲𝗻𝘇
𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗖𝗘𝗢, Inference Beauty

"We wanted to make online fragrance discovery more intuitive."
That was the goal when Acqua di Parma partnered with Inference Beauty.

Fragrance is one of the most challenging beauty categories to sell online. Without the ability to smell a scent, shoppers need confidence and guidance to make the right choice, especially during key gifting seasons.

Together, we launched an 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗙𝗿𝗮𝗴𝗿𝗮𝗻𝗰𝗲 𝗙𝗶𝗻𝗱𝗲𝗿 that helps customers discover fragrances based on their personal preferences and perfumes they already know and love, creating an experience that feels much closer to an in-store consultation.

𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝘀𝗽𝗲𝗮𝗸 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀:
𝟵𝟴% completion rate
𝟲𝟱% of users used cross-brand fragrance matching

As 𝗦𝗲𝗿𝗲𝗻𝗮 𝗜𝘇𝘇𝗼, 𝗚𝗹𝗼𝗯𝗮𝗹 𝗲𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗥𝗠 at Acqua di Parma, shared, the solution helped create a more intuitive and personalized fragrance discovery journey for their customers.

A huge thank you to the Acqua di Parma team for trusting Acqua di Parma. We're proud to be helping leading beauty brands transform how customers discover products online.

If you're looking to create a more personalized and confidence-driven shopping experience for your customers, we'd love to show you what's possible.

💬 Send us a DM or book a demo to learn more.

We're proud to share that our 𝗖𝗼-𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗖𝗘𝗢, 𝗘𝘀𝘁𝗲𝗹𝗹𝗮 𝗕𝗲𝗻𝘇, has been recognized among the 𝗧𝗼𝗽 𝟭𝟬 𝗩𝗶𝘀𝗶𝗼𝗻𝗮𝗿𝘆 𝗘𝗻𝘁𝗿𝗲𝗽𝗿𝗲𝗻𝗲𝘂𝗿𝘀 𝗦𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝟮𝟬𝟮𝟲 by www.msn.com

The feature highlights Estella's vision of making beauty shopping more transparent, personalized, and confidence-driven through AI, structured product data, and ingredient intelligence.

Since day one, our mission has remained the same:
𝗛𝗲𝗹𝗽𝗶𝗻𝗴 𝗯𝗲𝗮𝘂𝘁𝘆 𝗯𝗿𝗮𝗻𝗱𝘀 𝗮𝗻𝗱 𝗿𝗲𝘁𝗮𝗶𝗹𝗲𝗿𝘀 𝗰𝗿𝗲𝗮𝘁𝗲 𝘀𝗵𝗼𝗽𝗽𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝘄𝗵𝗲𝗿𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗰𝗮𝗻 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘄𝗶𝘁𝗵 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲.

Congratulations, 𝗘𝘀𝘁𝗲𝗹𝗹𝗮, on this well-deserved recognition.
And thank you www.msn.com for featuring our 𝗖𝗘𝗢, 𝗘𝘀𝘁𝗲𝗹𝗹𝗮 and Inference Beauty and sharing our story.

Read the full article via the link in the comments.

Fragrance remains one of the most difficult beauty categories to sell online.

Customers can't smell a product before buying, making confidence the biggest barrier to conversion.

To address this, Acqua di Parma partnered with Inference Beauty to launch an 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗙𝗿𝗮𝗴𝗿𝗮𝗻𝗰𝗲 𝗙𝗶𝗻𝗱𝗲𝗿 that recommends fragrances based on personal preferences, fragrance notes, occasions, seasons, and scents customers already know.

𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀:
98% completion rate
65% of users discovered fragrances through cross-brand matching

Helping customers find the right fragrance isn't about showing more products. It's about giving them confidence in their choice.

If you're looking to improve fragrance discovery on your e-commerce store, let's talk.

Inclusivity in beauty e-commerce is a data problem. 112 skin tones. 15,000+ shade products. Cross-brand matching. That's how Inference Beauty powers real inclusivity at scale.

🎙 New episode: "10 Ways to Radically Optimize Your Beauty E-Commerce" Practical. Data-backed. Actionable.

Listen now on Spotify — Decoded Podcast.

Everyone says the biggest problem with selling fragrance online is that people can't smell it.

We don't think that's the real problem.

The real problem is uncertainty.

When shoppers walk into a perfume store, they rarely start from zero.

"I wear Bleu de Chanel."
"I loved Black Orchid."
"I'm looking for something similar."

They're searching from familiarity, not from scratch.

But online?
We ask them to browse hundreds of bottles, read fragrance notes they don't understand, and hope they make the right choice.

That's not discovery.
That's guesswork.

One insight from working with fragrance brands stood out to us.

Most customers didn't want AI to tell them what to buy.
They wanted AI to understand what they already loved.

That small shift changes everything.

Recommendations stop feeling random.
Shopping becomes more confident.

And suddenly, online fragrance starts feeling much closer to the experience of talking to someone at a beauty counter.

We think we often ask the wrong question.

Instead of asking, *"How do we replace the in-store experience?"*

We should ask,
"How do we recreate the confidence that the in-store experience gives people?"

That's where we believe the next generation of beauty commerce will be won.

Curious, how are you thinking about building confidence in digital beauty shopping as AI becomes part of the customer journey?

, CEO, Inference Beauty

We're proud to be featured by Cosmetics Business among the best AI skin analysis tools of 2026.

A huge thank you to Cosmetics Business for recognizing Inference Beauty and highlighting the technologies shaping the future of personalized skincare.

AI skin analysis is transforming how consumers discover skincare online, helping brands replace uncertainty with personalized recommendations, ingredient-level insights, and shopping experiences customers can trust.

At Inference Beauty, we're committed to helping beauty brands and retailers create smarter, more transparent, and more engaging customer journeys through AI-powered personalization.

Read the full article via the link in the comments.

Personalization isn’t just for treatments anymore, it’s redefining how beauty studios connect, recommend, and sell.

At 𝗕𝗲 𝗕𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 𝗦𝘁𝘂𝗱𝗶𝗼, smart technology met personalized care through our AI-powered Skin Care Finder, turning every client interaction into a tailored experience.

The result?
Stronger trust, confident purchases, and a seamless bridge between in-studio expertise and digital innovation.

When beauty meets intelligence, transformation happens, not just for clients, but for businesses too.

Discover how digital personalization can elevate your beauty brand.
🔗 inferencebeauty.com

We're proud to be featured by Cosmetics Business among the leading foundation shade matching technologies of 2026.

A big thank you to Cosmetics Business for recognizing Inference Beauty and showcasing the innovations shaping the future of beauty e-commerce.

Finding the right foundation shade online remains one of the biggest challenges in beauty retail. Our AI-powered Foundation Match Technology helps brands remove uncertainty with accurate cross-brand shade matching, personalized recommendations, and seamless digital consultations, improving customer confidence while increasing conversions.

We're excited to continue helping beauty brands and retailers create smarter, more personalized shopping experiences.

Read the full article via the link in the comments.