Case Study

Beauty-Tech & AI Vision Commerce

Where the camera
becomes the counter.

Where the camera
becomes the counter.

AURA is a browser-native beauty intelligence platform that turns a single selfie into a personalized skincare protocol, a shade-matched makeup line, and a shoppable storefront, no app download, no guesswork, no abandoned cart at the shade-matching wall.

AURA is a browser-native beauty intelligence platform that turns a single selfie into a personalized skincare protocol, a shade-matched makeup line, and a shoppable storefront, no app download, no guesswork, no abandoned cart at the shade-matching wall.

Role

Product Designer + AI Engineer, Solo Build

Stack

HTML5 MediaDevices · Vision AI Pipeline · Commerce Logic

Markets

US · UK · Canada

The Problem

Shade-matching online was always a guess. We replaced the guess with data.

Shade-matching online was always a guess. We replaced the guess with data.

Every beauty DTC brand loses customers at the same invisible wall: the moment a shopper has to imagine how a product will look on their own skin. AURA was designed to remove that wall entirely.

Before (the industry stANDARD)

Shoppers self-select a shade from a flat product photo, often under the wrong screen brightness or lighting.

Skin quizzes return generic text advice with no visual tie-back to the user's actual face.

"Talk to an expert" means a support ticket, answered days later, after the moment of intent has passed.

Diagnosis and purchase live on two different pages, often two different sessions entirely.

"I'll just order two shades and return one." — the quiet tax on every beauty DTC P&L.

After (THE AURA MODEL)

The camera captures the user's actual face, in-browser, in their actual lighting , no download, no friction.

Diagnostics return structured data, undertone, skin type, face shape, rendered visually on the user's own portrait.

A real consultation channel sits one tap away, with a free first response so expert advice has zero upfront cost.

Diagnosis, shelf, and checkout are one continuous scroll, the recommendation engine doubles as the storefront.

One scan. One scroll. One decision the customer actually trusts.

The User Journey

One scan. Seven moments. Zero dead ends.

Mapping the full path matters more than any single screen, it's where a product designer proves the experience holds together end to end, not just in isolated frames.

👋

Discover

Lands on the home feed, sees a routine tracker instead of a generic landing page.

📷

2

Scan

One tap opens the native camera, no install, no redirect.

Camera Pipeline

3

Diagnose

Structured results, undertone, skin type, face shape, render on their own portrait.

AI Vision Layer

🛍

4

Shop the Match

Diagnosis resolves directly into a shoppable, shade-matched shelf.

Commerce Layer

🧾

Checkout

Delivery details, payment, and order review, a real e-commerce flow, not a demo cart.

💬

6

Consult a Specialist

Unsure about the match? One tap opens a live chat with an AURA Beautician, first reply free.

Retention Layer

🔁

Return

Order tracking, points balance, and routine progress bring them back without a push notification.

The Experience

Three screens. One loop from diagnosis to checkout.

Every interaction in AURA is engineered to collapse the distance between "I wonder what shade I am" and "Add to Bag." Here is the journey, screen by screen.

01

A dashboard that feels carved, not coded.

The home feed greets each user by name against a soft neomorphic canvas. Daily routine steps surface as tappable progress cards, while a floating capsule nav sits fixed exactly where the thumb already rests.

9:41

●●● 100%

GOOD MORNING

Hello, Élodie

Your skin loved yesterday's routine

3 of 4 steps complete

Continue your evening ritual →

Shop

Saves

Scan

02

Your face, mapped in real time not guessed at a counter.

A live front-facing capture feeds the diagnostic overlay. An animated scan line sweeps the portrait while coordinates resolve into tappable Skincare, Makeup, and Face Shape results.

9:41

●●● 100%

92% MATCH CONFIDENCE

Warm Honey Undertone · Combination Skin · Oval Face Shape

Skincare

Makeup

Face Shape

03

From diagnosis to "Add to Bag" in a single scroll.

Every diagnostic result resolves into a curated shoppable shelf. AURA's own skincare oils, shade-matched foundation, and face-shape-specific styling picks. Pricing is live. The bag updates instantly.

9:41

●●● 100%

For You

Bag 3

MATCHED FOR YOUR SCAN RESULTS

Hydra-Oil Concentrate

WARM HONEY BASE

$48

Sheer Veil Foundation

SHADE 3.2 MATCH

$36

Oval Lace Wig

HONEY BALAYAGE

Add to Bag

Beyond the Algorithm

When the AI isn't enough, a real specialist is one tap away.

Diagnostics build trust. But high-consideration beauty decisions, a first retinol, a permanent color change, still benefit from a human in the loop. AURA Beautician is that loop, designed as a real product surface, not a support widget bolted on after launch.

Zero-cost first contact

The first response from a specialist is always free, removing the one hesitation that kills consult-to-conversation rate.

Transparent micro-pricing

Every subsequent reply is metered at 100 points, shown inline on the message itself, no hidden paywall, no surprise invoice.

Monetized retention, not a cost center

A typical support chat is pure overhead. This one carries its own points economy, turning "customer service" into a revenue line.

9:41

●●● 100%

💆🏽‍♀️

AURA Beautician

● Online now

2,648 pts

Hi Élodie! I'm your AURA Beautician. Your first response is completely free — what would you like help with today?

My skin feels oily by midday, what should I use?

Try layering thinnest-to-thickest — a niacinamide serum, then an oil-free moisturizer.FREE RESPONSE

What about for nighttime?

A gentle retinol 2–3x a week, always followed by SPF the next morning.− 100 PTS

Ask your beautician anything...

Why Brands Hire Me For This

This isn't a template. It's commerce infrastructure.

Three engineering decisions separate AURA from a typical skin quiz plugin, and they're the same decisions I bring into every contract.

Capture Layer

Zero-install web camera pipeline

The entire capture pipeline runs natively in-browser through the HTML5 MediaDevices API , high-resolution selfie capture, instant preview, and re-shoot logic, without a single megabyte of app download. The camera opens in the time it takes to tap a button.

Diagnostic Layer

Vision AI built for production, not demos

The diagnostic engine returns structured, parsed output, skin type, undertone hex values, face shape category, in a strict schema the interface renders instantly. That discipline is what separates a "fun AI demo" from a feature a brand can actually ship.

Commerce Layer

Every diagnostic is a merchandising opportunity

The architecture maps each diagnostic output directly to a live product catalog, shade-matched foundation, undertone-correct oils, face-shape styling, so the moment a user learns something about themselves, they're one tap from buying the solution.

Retention Layer

A consultation economy, not a support cost

The AURA Beautician chat runs on its own points ledger, free first contact, metered replies, inline top-up. It's the rare support surface that's designed to be a margin-positive product feature from day one, not an expense line a brand tolerates.

Let's Build Your Next Revenue Surface

Your brand deserves an interface that sells while it delights.

I work with luxury beauty, wellness, and DTC brand directors who are done shipping static product pages and ready to ship intelligence, camera pipelines, AI-driven personalization, and checkout flows engineered to convert.

Book an Interface & AI Architecture Audit

Review the Open-Source Camera Repo

Solo-Engineered · End-to-End Design + Build · US / UK / CA Market Ready

Thank you for your interest in my work

Thank you for your interest in my work

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I designed and built this portfolio in Framer, to reflect my unique vision

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