AI hair & scalp diagnostics case study

Turning 90+ Premium Brands Into One Clear Path for Every Customer

How Zlatna Ribka scaled its in-store hair expertise across 15 stores and its online shop, lifting conversion +21% and average order value +28%

Client

Zlatna Ribka is Bulgaria's first and leading specialized haircare retailer, operating since 2007. It's one of the country's largest luxury hair cosmetics networks, with 90+ brands across 15 retail stores and a large online shop.

The catalog is built on curation: a carefully chosen mix of global names and niche premium brands for every hair type and concern. In store, that depth is navigated with expert consultation, where specialists match a solution to each customer. That combination is the brand's biggest strength, and its biggest barrier at the point of entry.
  • Dozens of brands and hundreds of SKUs for a single concern, leaving customers unsure what actually fits
  • Expert guidance available only on the shop floor, through a specialist in person
  • Online and retail ran as separate experiences, with no shared selection logic

The Challenge

The bottleneck was never demand. It was discovery. For nearly two decades, Zlatna Ribka's signature consultation lived only inside its stores, delivered in person. As the portfolio grew, the same breadth that made the brand distinctive widened the gap between catalog and customer, and online there was no equivalent to that in-store guidance at all.

The Solution

Zlatna Ribka deployed the iHairium AI Hair & Scalp Diagnostic as one unified experience across retail and online. In the stores, it runs through QR codes and tablets at the consultation stations. On the site, it's built into the shop.

The logic is a signal → regimen mapping built around the curated portfolio. The AI reads hair and scalp condition, including dryness, sensitive scalp, shedding, and damaged structure, then guides the customer to a complete regimen from Zlatna Ribka's range rather than one random product.
Curious what that looks like? Try an AI Diagnostic Demo

User Journey

Customer opens the diagnostic via a QR code in-store, or on the site
Takes a few photos and gets an AI hair & scalp analysis in about 60 seconds
Receives a personal hair & scalp report with clear care recommendations
Sees a matched regimen from Zlatna Ribka's portfolio, with a reason for each product

Implementation

iHairium adapted the diagnostic to Zlatna RIbka's visual language and catalog, bringing effortless and accurate product selection to both ecommerce and retail
  • Brand customization
    The diagnostic was reworked to Zlatna Ribka's visual identity: colors, typography, and tone of voice. To the customer it's the brand's own tool, not a third-party widget.
  • "Condition → regimen" mapping
    The key stage. Every diagnostic signal is tied to a full regimen (shampoo, mask, scalp treatment, supporting care) drawn from the catalog. iHairium's team mapped each condition to specific products alongside Zlatna Ribka's experts. The AI translates the brand's expert consultation logic into a scalable digital experience.
  • One experience, every store and online
    The same tool and the same selection logic run across all 15 stores and the site, in Bulgarian and in the brand's tone. Whether a customer scans at a store tablet or on a phone at home, Zlatna Ribka's expertise shows up the same way.

Results

Results measured over the first 90 days after launch
  • +21%
    purchase conversion rate on diagnostic traffic
  • +28%
    average order value with condition-based regimens
  • 72%
    email capture, each with a confirmed concern
Before and After
The change is easiest to see side by side.
Product discovery
Before iHairium
90+ brands and hundreds of SKUs, no clear path to the right product
With iHairium
A guided diagnostic routes each customer to a complete regimen
In-store and online
Before iHairium
Expert guidance available only on the shop floor
With iHairium
The same guidance in all 15 stores and online
Customer data
Before iHairium
Little visibility into real needs, segmentation by guesswork
With iHairium
First-party diagnostic data captured on every scan
More Than a Single Sale
Repeat revenue, first-party data, and content
  • Repeat-purchase engine
    A single product is a one-off; a full regimen is bought again and again. By ending every scan with a specific, explained set of products, the diagnostic moves customers from single items to complete routines, lifting basket size and bringing them back to restock.
  • First-party data
    Every scan is also data: which conditions show up most, which brands perform for which segments, where the portfolio has gaps. For a multi-brand retailer, that visibility turns portfolio expansion, buying, and segmentation from guesswork into decisions grounded in its own audience, online and in-store.
  • Content driver
    A personalized scan result is specific to the customer and looks good on camera, which makes it strong creative for ads and social. The diagnostic works as a content engine as well as a sales one: more content drives more scans, and every scan feeds both the basket and the data.

Why It Worked

AI diagnostics work best where a brand already has selection expertise but no way to scale it. Zlatna Ribka spent nearly two decades perfecting expert consultation on its store floors; iHairium put that same guidance in all 15 stores and online, around the clock. It doesn't replace the brand or its specialists. It extends what they already do best to far more customers than any single floor could reach.

Connect AI diagnostics to your brand

iHairium is a leading AI platform for hair and scalp health. We help e-commerce brands, salons, and clinics, increase revenue with clinical-grade AI diagnostics that turn generic product browsing into personalized, data-driven customer experiences.
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iHairium Inc., 2024
Delaware, 19901 USA
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