For beauty & skincare brands

AI skin analysis for skincare brands — give every customer a reason to say yes

Omnichannel AI skin diagnostics for beauty retail: mobile in-store scanning at the counter, an embeddable widget on your store, and APIs for your app. Shoppers hesitate when they're not sure what will actually work for their skin — ScanSkinAI turns a 60-second facial scan into a personalised routine — built only from the products you sell — so recommendations feel like expert advice instead of a guess. Selling online? The fixed-monthly Beauty Online Advisor plan adds the Advanced Facial Analysis API and Product Recommendation API to your store for US$198/month.

Beauty boutique associate showing a customer her AI skin scan results on a tablet.
2 quick questions

Find the right plan for your business

Answer two questions and we'll point you to the setup that fits how you sell.

1. Where do you sell?

2. What matters most?

Not sure? In-store teams usually start with annual staff seats, online stores with the Beauty Online Advisor plan (US$198/month).

Two ways to use ScanSkinAI

Staff-assisted scanning runs on annual operator seats. For customer-facing website scanning, choose the fixed-monthly Beauty Online Advisor plan (US$198/month) or volume-based pricing for larger stores.

In-Store and Staff-Assisted Scanning

For boutiques, beauty counters, salons and aesthetic clinics.

  • Staff operates the scan
  • Runs on a phone, tablet or laptop
  • Annual pricing per staff seat
  • Product catalogue recommendations
  • Customer progress tracking
View In-Store Plans

Customer-Facing Website Integration

For Shopify, WooCommerce, DTC websites and mobile apps.

  • Customers complete scans themselves
  • Embed or hosted-link options
  • Facial Scan API + Product Recommendation API
  • Built for large catalogues (thousands of SKUs)
  • Fixed monthly Beauty Online Advisor plan — or volume-based
  • Branded results, API and white-label options

The $59.99 annual staff plan covers staff-assisted scans up to its monthly allowance — it does not include unlimited customer-facing website scans.

Why this matters

Skincare is personal. Guesswork costs you the sale.

Most shoppers arrive at your counter or product page with the same quiet worry: "What if I buy the wrong thing again?" A confident, personalised recommendation removes that hesitation — and turns a browser into a repeat customer who trusts your brand.

Customers feel understood

A scan of their own face — not a generic quiz — makes the recommendation feel personal and safe to trust.

Baskets get bigger

Routine-based recommendations naturally suggest a cleanser, serum and moisturiser instead of a single hopeful purchase.

They come back

Re-scanning shows visible progress on their metrics — a reason to return, refill and stay loyal to your brand.

"Our best staff have always been the ones who could look at someone's skin and know exactly what to recommend. ScanSkinAI gives every member of the team — and every visitor to our website — that same confident answer."

— The kind of quiet upgrade your brand deserves.

How AI Skincare Product Recommendations Work

ScanSkinAI turns a facial scan into AI skincare product recommendations drawn only from your own catalogue.

  1. 1. The customer completes a facial scan

    On a staff device in-store, or on their own phone via a website integration.

  2. 2. ScanSkinAI analyses visible facial metrics and skin concerns

    12 facial and cosmetic skin metrics are measured, plus the concerns the customer flags.

  3. 3. The system maps suitable products from your own catalogue

    Recommended products are selected from your SKUs — never a generic catalogue.

Product mapping can use:

  • Product concern
  • Skin type suitability
  • Ingredients
  • Usage instructions
  • Routine step
  • Customer preferences

Recommendations are guidance, not a diagnosis or guaranteed product match.

Facial Scan API + Product Recommendation API

How ScanSkinAI turns skin insights into product sales

For brands with large catalogues and an online customer journey, the two APIs combine into one connected shopping experience. Instead of asking shoppers to browse thousands of products, ScanSkinAI moves them from “what does my skin need?” to “which products should I buy?” in four steps.

Embed it in your website, storefront, campaign page, in-store tablet, QR campaign or digital consultation flow.

  1. 1

    Start on your store

    Selfie or quick quiz, inside your own site.

  2. 2

    Analyse your skin

    Structured cosmetic skin insights in seconds.

  3. 3

    Find your routine

    AI defines the personalised routine framework.

  4. 4

    Recommend your products

    Your catalogue, ranked and explained.

Scan or quiz → skin insights → personalised routine → product matches → add to cart

The full customer journey

Video walkthrough of the connected journey — store entry, skin analysis, routine, ranked product matches. Product names, scores and prices shown are examples, not real customer results.

Embed the widget in minutes

See how the ScanSkinAI Skin Advisor drops into your site with a two-line embed — your shoppers scan, get their routine and matched products without ever leaving your store.

Widget embed demo — no app install, no developer required. Products shown are examples.

Step 1 — Start on your store

The customer starts where they already are

Add the experience to your storefront as an embedded widget, a hosted page or a direct API integration — shoppers never leave your site.

Two entry paths

  • AI facial scan — a front-facing selfie, analysed in seconds
  • Quick skin quiz — for shoppers who prefer not to upload a photo

Call-to-action options

  • “Find My Routine”
  • “Analyse My Skin”
  • “Find Products for My Skin”

Structured profile captured

  • Skin type and key cosmetic concerns
  • Goals, routine preference and price range
  • Brand, category and exclusion rules

Traditional beauty e-commerce starts with a catalogue. This starts with the customer: not “which product would you like?” but “what does your skin need?”

Step 2 — Analyse your skin

A selfie becomes structured cosmetic skin data

The Facial Scan API converts the image into measurable cosmetic metrics and machine-readable scores your storefront can act on immediately.

Measured characteristics

  • Texture · Pores · Redness · Oiliness
  • Hydration · Pigmentation · Dark spots
  • Fine lines · Firmness · Radiance · Dark circles

Weighted priorities

  • Higher priority: hydration, fine lines, firmness
  • Lower priority: redness, oiliness
  • Ranking feeds straight into product scoring

Customer-facing framing

  • “Your skin priorities: hydration · fine lines · firmness”
  • “Already looking good: oiliness · redness”
  • Fast enough for a live shopping session

The value is not the score on screen — it is the structured input that powers the next step. Intended for cosmetic guidance and product matching, not medical diagnosis.

Step 3 — Find your routine

Skin data becomes a routine — before any product is shown

The engine first decides what the routine should contain, then searches your catalogue for the products that fit each role.

Morning routine

  • 1. Cleanse — matched to skin characteristics
  • 2. Treat — serums for the top priorities
  • 3. Hydrate — based on hydration and skin type
  • 4. Protect — daytime protection where relevant

Evening routine

  • Cleanse — remove the day
  • Treat — targeted overnight actives
  • Hydrate — barrier and overnight care

Your rules stay in control

  • Your catalogue, brands and categories
  • Inventory, price bands and exclusions
  • Ingredients, benefits and concern tags
  • Campaign priorities and business rules

Skin → needs → routine → products. Not products → products → more products.

Step 4 — Recommend your products

Each shopper is matched to the right products, with the reason shown

The Product Recommendation API searches and ranks your catalogue, then explains why each match was selected.

Ranking signals

  • Scan results and flagged concerns
  • Routine role and product category
  • Benefits, ingredients, skin-type suitability
  • Shopper preferences and merchant rules

Transparent match reasons

  • “95% match — supports hydration and the appearance of fine lines.”
  • “92% match — supports uneven tone and dullness, lightweight texture.”

Straight into your commerce flow

  • Add one product or the whole routine to cart
  • Deep-link to your existing product pages
  • Save the routine and re-scan later
  • No separate checkout to build

For catalogues with hundreds or thousands of SKUs, ranking replaces browsing: the right shopper sees the right few products at the right moment.

Understand the customer. Build the routine. Recommend the products.

Built for large catalogues and online customer journeys — widget, hosted page, REST API or SDK. Pricing is based on expected monthly scan volume.

Hair Scan for beauty brands

Connect hair appearance insights with relevant product discovery

Add a visual Hair Scan journey to your website, app or consultation platform. Front and crown photographs create an easy-to-read cosmetic report that can support personalised haircare recommendations from your own range.

  • Engage customers with a personalised visual consultation
  • Assess curl pattern, apparent volume, visible coverage and frizz
  • Observe hair colour and colour uniformity
  • Connect insights with your product recommendation system
Ask about Hair Scan API access
Original photograph supplied for an illustrative ScanSkinAI Hair Scan
Original photograph
Illustrative overlay highlighting the hair region analysed by ScanSkinAI Hair Scan
Analysed hair region

Experimental cosmetic estimates: Hair Scan describes visible hair appearance and does not diagnose hair or scalp conditions.

Features and facial metrics

Cosmetic skin analysis focused on conversion — separate from skin-condition screening.

12 facial and cosmetic skin metrics

Texture, pores, redness, oiliness, fine lines, firmness, pigmentation, hydration, radiance, skin age, dark circles and dark spots.

Product recommendations from your catalogue

Results map to your own SKUs by concern, skin type, ingredients, routine step and customer preferences.

Branded customer reports

Customer-facing reports themed with your brand. Full white-label available on the website / API plan.

Repeat-scan and progress tracking

Reopen a scan record over time to compare changes and guide follow-up recommendations.

Hosted link, widget and API options

Embed the scan on Shopify, WooCommerce, DTC sites or apps — or use the hosted link from the staff app.

Phone, tablet and desktop access

Runs in any modern browser. No hardware purchase required.

Catalogue import from spreadsheet, store URL or Shopify export

Bring your catalogue in via CSV/Excel, a public store URL or a Shopify product export.

The 12 facial and cosmetic metrics

TexturePoresRednessOilinessFine linesFirmnessPigmentationHydrationRadianceSkin ageDark circlesDark spots

Skin-condition screening (separate): the platform can flag visible features that may warrant professional assessment, but it does not diagnose skin cancer. Customers with changing, bleeding or personally concerning lesions should seek professional medical advice.

Example Beauty Retail Workflow

An illustrative in-store flow — not a measured customer result.

  1. 1A staff member opens the scan on a tablet or phone at the counter and selects the customer's preferred concerns.
  2. 2The customer completes a facial scan in front of the staff member; the AI returns the 12 facial metrics and detected concerns.
  3. 3The branded report maps the results to suitable products from the store's catalogue, organised by routine step.
  4. 4Staff discuss the recommendations with the customer and save the scan record so progress can be reviewed at the next visit.
AI skin score and product recommendations rendered on an e-commerce mobile app.

Shopify and e-commerce workflow

For customer-facing scans on a Shopify, WooCommerce or DTC site:

  1. 1Embed the scan via a hosted link or widget on a product or collection page.
  2. 2Customers complete the scan on their own phone — no app to install.
  3. 3A branded recommendation page returns products from your imported catalogue.
  4. 4The shopper continues to checkout in your store; you receive aggregate scan analytics in your workspace.
For ecommerce stores

Beauty Online Advisor — the AI advisor for online beauty stores

If you sell skincare or cosmetics online, Beauty Online Advisor gives every shopper a personal skin consultation on your own storefront. Two connected APIs, one fixed monthly price: US$99/month for the Advanced Facial Analysis API and US$99/month for the Product Recommendation API — US$198/month total, with up to 500 advanced analyses per month included.

Advanced Facial Analysis API

Up to 500 advanced facial analyses per month. 12 skin metrics plus high-resolution visual insights — concern overlays, heatmaps and annotated facial images.

  • 500 advanced analyses per month
  • 12 skin metrics with scores
  • Concern overlays & heatmaps
  • Annotated facial images
  • Structured JSON response

US$99/ month

Product Recommendation API

Turns every analysis into a personalised AM/PM routine built only from your catalogue, with a plain-language reason for each product.

  • Personalised AM/PM routines
  • Ranks your own catalogue (thousands of SKUs)
  • Match reason for every product
  • Catalogue import via CSV, store URL or Shopify export
  • Widget, hosted link or direct API

US$99/ month

Beauty Online Advisor — plan summary

  • Advanced Facial Analysis API — US$99/month (500 analyses)
  • Product Recommendation API — US$99/month
  • Widget, hosted link or direct REST API
  • Catalogue import: CSV, store URL or Shopify export
  • Branded results pages on your store
  • Predictable monthly pricing — no per-scan surprises

US$198/month

both APIs included · cancel anytime

Get Beauty Online Advisor

Advanced analyses are cosmetic appearance estimates for product guidance — not a medical diagnosis. Larger volumes, SDK access and full white-labelling are available on the custom website / API plan.

In-store scan & product recommendation pricing

These annual operator plans cover in-store, staff-assisted scanning: your team scans the customer's face on a phone or tablet, gets 12 skin metrics, and the AI instantly recommends products from your own catalogue. For customer-facing website scanning (shoppers scan themselves online), choose the fixed-monthly Beauty Online Advisor plan (US$198/month) or request volume-based pricing for larger stores.

Starter

For indie skincare brands and solo boutiques doing in-store scans.

$59.99/ year
  • 1 operator seat
  • 50 in-store scans per month
  • Instant product recommendations from your catalogue
  • Product catalogue mapping
  • Email support
Start with this plan
Most popular

Growth

For growing brands and small in-store teams.

$299.95/ year
  • 5 operator seats
  • 200 in-store scans per month
  • Instant product recommendations from your catalogue
  • Customer scan history
  • Priority catalogue setup
  • Priority support
Start with this plan

Professional

For multi-location beauty brands and larger retail operations.

$899.85/ year
  • 15 operator seats
  • 500 in-store scans per month
  • Instant product recommendations from your catalogue
  • Product catalogue mapping
  • Progress tracking
  • Dedicated onboarding
Start with this plan

Website, API and White Label

For customer-facing scans on Shopify, WooCommerce, DTC sites and apps.

  • Customer-facing website scans
  • Shopify or website embedding
  • API and SDK access
  • Pricing based on expected scan volume
  • Custom branding
Request Integration Pricing

Beauty Online Advisor

Ecommerce plan

Advanced Facial Analysis API (US$99/mo) + Product Recommendation API (US$99/mo) — the complete online skin advisor for your store.

US$198/month

Plan details

Annual operator plans include a monthly scan allowance.

Setup steps

Most staff-assisted brands are live the same day once the catalogue is mapped.

1. Create an account

Sign up free at ScanSkinAI.com/auth — no card needed to explore.

2. Choose your plan

Pick Starter, Growth or Professional. Or contact us for a website / API quote.

3. Send your catalogue

Drop a spreadsheet, a public store URL or a Shopify export.

4. Go live

Staff start scanning from any phone, tablet or laptop browser.

Privacy and security

Customer scan images are processed for the scan and stored against the scan record only — never sold or shared with third parties, and deletable on request under GDPR / CCPA.

GDPR / CCPA aligned

Customer data is processed under data-protection requirements; deletion supported on request.

ISO 27001:2022

Information-security management certification.

UKCA Class I

For the optional skin-condition screening functionality.

AI in cosmetics: how skin analysis technology works in retail beauty

Beauty retail uses AI in three connected ways — measuring the skin, translating those measurements into a routine, and ranking a catalogue against the result. ScanSkinAI delivers all three from one model, so an omnichannel brand gets the same skin diagnostics at the counter, on the website and inside its app.

Measure

A single front-facing photo returns 12 cosmetic skin metrics — texture, pores, redness, oiliness, fine lines, firmness, pigmentation, hydration, radiance, skin age, dark circles and dark spots.

Advise

Metrics and flagged concerns are turned into an AM/PM routine framework — cleanse, treat, hydrate, protect — before a single product is chosen.

Merchandise

Your catalogue is ranked against the profile for each routine step, with a plain-language match reason the advisor or shopper can trust.

Mobile scanning for beauty retail — no hardware to buy

Traditional in-store skin analysers cost thousands and stay bolted to one counter. ScanSkinAI runs in the browser, so any staff phone or tablet becomes a scanning station — ideal for counters, pop-ups, roadshows and travel-retail teams. Staff log in to their seat, scan, and send the customer a branded report by email or QR code.

One skin profile across every channel

In store

Staff-assisted scans on a seat account, with the results and recommended routine shown on screen during the consultation.

On your website

An embeddable Skin Advisor widget or hosted page offering shoppers a free face scan and a routine built only from your products.

In your app

The Facial Scan API returns structured metrics; the Product Recommendation API ranks your catalogue — both callable from your own front end.

On Shopify

Import your catalogue from a Shopify product export and embed the scan on your storefront. See the Shopify guide for the step-by-step setup.

Explore setups by brand type: AI skin analysis for Shopify stores, indie skincare brands and cosmetics retailers.

See the full platform overview: AI skin analysis software, the Skincare Product Recommendation API and white label skin analysis.

Frequently asked questions

Yes. The Facial Scan API and Product Recommendation API can be combined into one connected journey on your own website or app: the shopper starts with a selfie scan or a quick skin quiz, the scan API returns structured cosmetic skin metrics, the recommendation engine builds a personalised AM/PM routine, then ranks products from your own catalogue for each routine step with a match reason. Available as an embedded widget, a hosted experience or a direct REST API / SDK integration.

Instead of asking the shopper to browse, the engine ranks your catalogue against the scan results, flagged concerns, routine role, product benefits, ingredients, skin-type suitability, price band and your own merchant rules — then surfaces a small number of strong matches with a plain-language explanation of why each product was selected.

They can take the quick skin quiz instead — a short set of questions about skin type, concerns, goals, routine complexity and product preferences. Both paths produce the same structured customer profile, so the recommendation engine works identically either way.

No. For staff-assisted in-store scans, customers don't register — staff run the scan on their seat. For customer-facing website integrations, scans run under your brand's ScanSkinAI workspace; you choose whether shoppers create an account to save scan history or scan as guests.

Yes. The customer-facing scan can be embedded on a Shopify store via a hosted link or widget, and you can import your product catalogue from a Shopify product export. Deeper integrations are available via the API and SDK on the website plan.

Each product in your catalogue is mapped against the concerns it addresses, suitable skin types, ingredients, usage instructions, routine step and customer preferences. The scan returns the products from your catalogue that align with the customer's measured facial metrics and selected concerns. Recommendations are guidance, not a diagnosis or guaranteed product match.

You can import via a spreadsheet (CSV/Excel), a public store URL or a Shopify product export. Our team can assist with the initial mapping on Growth and Professional plans, and white-label customers can manage imports via the API.

Each annual staff seat is a logged-in operator account for in-store or staff-assisted use on a phone, tablet or laptop. Plans include the AI facial analysis, branded customer reports, catalogue mapping and a monthly scan allowance — see the pricing section for the per-plan allowance.

Customer-facing website integrations are priced based on expected monthly scan volume rather than seats, plus optional add-ons for API, SDK and white-label branding. Share your expected traffic and we'll send a custom quote.

Staff-assisted plans can be live the same day once your catalogue is mapped. Website and Shopify integrations typically go live within a few days, depending on the embed style and branding scope.

Yes. Customer reports can be themed with your logo and colours on the annual plans. Full white-labelling — your domain, fonts and UI — is available on the website / API plan.

At the counter, a staff member opens the scanner on a phone or tablet, takes a front-facing photo of the customer and the AI returns 12 cosmetic skin metrics — texture, pores, redness, oiliness, fine lines, firmness, pigmentation, hydration, radiance, skin age, dark circles and dark spots. Those metrics are matched against your mapped catalogue, so the recommendation on screen only ever contains products you actually stock. The whole interaction takes about 60 seconds and gives the advisor a visual reason for every product suggested.

No hardware is required. ScanSkinAI runs in the browser on any modern phone or tablet, so a single staff seat turns an existing device into a skin analysis station. For roaming counters or pop-ups, staff-assisted mobile scanning works offline-tolerantly on 4G, and each scan can be emailed to the customer as a branded report.

Yes — that is the core use case. The same skin model powers in-store staff scans, the embeddable web widget on your ecommerce site and the Facial Scan API inside your own app, so a customer scanned at the counter and a customer scanning at home are measured on the same 12 metrics. Recommendations draw from one shared catalogue, which keeps routine advice consistent across every channel.

The three mainstream uses are diagnostic (measuring visible skin attributes from a photo), advisory (turning those measurements into an AM/PM routine) and merchandising (ranking a catalogue against the customer's profile). ScanSkinAI covers all three for cosmetic and wellbeing purposes; it is not a medical diagnosis tool.

Yes. Most brands run the customer-facing scan as a free lead magnet — the shopper gets a free face scan and personalised skincare routine, and you capture the profile plus consented contact details for follow-up. Scan volume is billed to your plan rather than to the shopper.

Beauty Online Advisor is our fixed-monthly plan for ecommerce stores that sell skincare and cosmetics online. It combines the Advanced Facial Analysis API (US$99/month, up to 500 analyses per month, returning 12 skin metrics plus high-resolution visual insights such as concern overlays and heatmaps) with the Product Recommendation API (US$99/month, which ranks your own catalogue into a personalised AM/PM routine for each shopper). Together they cost US$198/month and power a complete online skin advisor on your store.

You embed the scan on your product, collection or landing page — via widget, hosted link or API. The shopper takes a selfie scan, the Advanced Facial Analysis API returns 12 skin metrics with visual insights, and the Product Recommendation API turns those metrics into a routine built only from your catalogue, with a plain-language reason for every product. The shopper then clicks straight through to checkout in your store.

If your store expects steady monthly traffic, yes — it is a predictable US$198/month with up to 500 advanced analyses included, no per-scan surprises. Larger volumes, SDK access and full white-labelling are available on the custom website / API plan.

Give your customers the confidence to buy — and come back

One staff seat is all it takes to turn hesitant browsers into loyal skincare customers. Start today, or talk to us about a customer-facing website integration.

One Canada Square, Canary Wharf, London — headquarters of Ivy AI Solutions Limited, the company behind ScanSkinAI
One Canada Square, Canary Wharf
Built in London

Headquartered in the heart of Canary Wharf

ScanSkinAI is built by Ivy AI Solutions Limited, a London-based health-tech startup headquartered at One Canada Square in Canary Wharf. We design our workplace skin cancer screening platform for UK small businesses, with UKCA Class I registration and ISO 27001 information security.

UKCA Class I
Medical device registered
ISO 27001
Information security
One Canada Square, Canary Wharf, London
Ivy AI Solutions Limited — serving UK businesses and global partners

From our London HQ we support partners across the United Kingdom, Hong Kong, Singapore and the Asia-Pacific region — with clinical validation, enterprise security and dedicated integration support.

Set up your product & service catalog

Follow the step-by-step onboarding guide to publish your products and have them recommended after every facial scan — replacing the default Boots / Superdrug picks.

Open the onboarding guide →