Who Is Inference Beauty Designed For?

We get this question a lot. Usually it comes right after a demo, right before someone asks about pricing. The short answer: beauty brands and retailers who sell online and want their customers to actually find the right products. The longer answer depends on what kind of business you run, what you sell, and where the friction lives in your customer journey. So let’s break it down.

Skincare brands

This is where we started, and it’s still the category where AI-powered guidance makes the biggest difference. Skincare is personal. Your customers have different skin types, sensitivities, concerns, and routines. A product page with a nice photo and a bullet list of benefits doesn’t help someone figure out whether your vitamin C serum is right for their reactive, combination skin.

That’s the gap a Skincare Finder closes. A short AI Face Scan and quiz captures the customer’s skin type, concerns, and sensitivities, then recommends products from your catalog with explanations for each match. Not “you might also like” – actual reasoning. “This moisturizer is suitable for your dry skin and avoids fragrances, which you flagged as a sensitivity.”

Dermalogica saw a 51% conversion rate from their Skincare Finder. Kiehl’s gets 750 daily users through theirs with a 30% conversion uplift. If your brand has more than a handful of SKUs and your customers regularly ask “what’s right for me?”, this is built for you.

Makeup and foundation brands

Shade matching online is hard. Everyone in color cosmetics knows this. Customers pick the wrong shade, return it, and sometimes don’t come back. Or worse, they abandon their cart because they don’t trust the swatch on their screen.

Our Foundation Finder and Shade Finder solve this with cross-matching. If a customer knows their shade in another brand, they can use that as a reference point to find the equivalent in yours. IT Cosmetics used this approach and 80% of new users found their correct shade match, with a 30% conversion uplift.

Strong Cosmetics had 97% of users report they liked their shade match. That’s almost unheard of for digital shade selection.

This matters especially for brands committed to inclusivity. A wide shade range only works if people can actually navigate it. A Shade Finder turns an overwhelming lineup into a guided experience.

Fragrance brands and retailers

Fragrance is the hardest beauty category to sell online. You can’t smell through a screen. Customers rely on notes, mood descriptions, and reviews, and they still end up guessing.

Our Fragrance Finder takes a different approach. It walks customers through their preferences (what scent families they like, what occasions they’re shopping for, whether they lean fresh or warm) and recommends from your catalog. Import Parfumerie, one of the largest Swiss omni-channel perfumeries, hit a 96% completion rate with theirs. When people start the quiz, they finish it. That tells you the experience is engaging, not tedious.

If you’re a fragrance house or a multi-brand retailer with a fragrance category, this is a way to give online customers something closer to the guided consultation they’d get at a counter.

Hair care brands

Hair care has its own complexity. Scalp health, hair texture, porosity, chemical treatments, heat damage. Customers don’t always know the right terminology, and even when they do, finding the right shampoo-conditioner-treatment combination from a brand’s lineup can be overwhelming.

A Hair Care Finder captures what matters (scalp condition, hair type, concerns, styling habits) and recommends a routine. RAUSCH, a Swiss hair care brand, found that 86% of their quiz users had sensitive scalp concerns they might not have surfaced on their own. That’s insight that helps the customer get a better recommendation and helps the brand understand what their audience actually needs.

Multi-brand beauty retailers

This is a slightly different use case but one we see growing fast. If you’re a retailer carrying dozens or hundreds of brands across skincare, makeup, hair care, and fragrance, your product catalog is enormous. Filters help, but standard e-commerce filters weren’t built for beauty. Filtering by “moisturizer” doesn’t tell a customer which moisturizer out of 200 is right for their skin.

That’s where our granular data and findability tools come in. Beauty-specific filters (by skin type, concern, ingredient preferences, certifications like vegan or cruelty-free) let customers narrow down in ways that matter to them. Combine that with a product finder and you’re not just organizing your catalog – you’re curating it for each shopper.

Retailers also get value from our Ingredient Explainer and transparency features. When you carry other brands’ products, you don’t always control the product descriptions. Giving customers clear, plain-language ingredient breakdowns builds trust in your store, not just in the brand.

Spas, dermatology clinics, and salons

Not every customer interaction happens on a website. Spas and dermatology clinics use our tools to recommend retail products after treatments. A facialist finishes a session and, instead of scribbling product names on a card, walks the client through a quick digital consultation that recommends take-home products based on what was discussed during the appointment.

Hair salons work the same way. The stylist understands the client’s hair better than anyone. Our tools let them translate that expertise into a product recommendation the client can act on, either in the salon or later online.

What all of our beauty clients have in common

Every one of these businesses faces the same core problem: their customers are uncertain. Uncertain about which product is right. Uncertain about ingredients. Uncertain enough to bounce, abandon a cart, or buy the wrong thing and return it.

Inference Beauty—formerly known as Skin Match Technology—has been on the market since 2018, helping brands solve exactly this challenge.

Inference Beauty gives those customers a reason to feel confident. The tools are plug-and-play (JavaScript snippet or API), work on Shopify, WordPress, WooCommerce, Salesforce, and others, support 30+ languages, and come with analytics dashboards so you can see exactly how customers interact with them.

Whether you’re a D2C brand with 40 products or a multi-brand retailer with thousands, the question is the same: are your customers finding the right products, or are they guessing? If the answer leans toward guessing, that’s the gap we fill.

If you want to see how it would work for your specific setup, book a demo. We’ll show you real examples from brands in your category.