Online and offline
The same selection flow can work on product cards, landing pages, in-store, and on the consultant desk.
FOR RETAIL
SKINBOT for retail
SKINBOT helps beauty retail remove friction from skincare selection: QR on shelf, consultant tablet, e-commerce flows, and a unified AI layer for online and offline.
The product works as a decision layer above the catalog and helps turn traffic into a more confident and explainable choice.
Fewer wrong choices
SKINBOT clarifies skin parameters and goals before the customer disappears into endless catalog scrolling.
Fast pilot
A pilot can be launched as a lightweight layer on top of the existing catalog without rebuilding the storefront.
EARLY PARTNERS
Retail trust signals
The first retail rollout is already live in The Face Only spaces in Moscow. We also reinforce the launch with external media confirmation.
The Face Only
Skinbot is already piloted across all six Moscow locations as part of the client journey for home-care selection.
Media confirmation
We also support the launch with editorial media presence, so the retail rollout is visible not only inside the product flow, but outside it as well.
RESULTS
Numbers that reshape the category
x8
AI-referred traffic converts vs social traffic
Salesforce, Holiday 2025
+59%
Faster sales growth for retailers running their own AI agents
Salesforce, 2026
20%
Of global online sales influenced by AI last holiday season
Salesforce, $262B
+10–15%
Revenue lift from personalization
McKinsey, Next in Personalization
x3.7
Higher average order value in sessions with recommendations vs without
Barilliance
71%
Of consumers expect personalization
McKinsey
INTENT DATA
Data nobody else has
Every SKINBOT session generates anonymous, aggregated insights about purchase intent. Not personal data, but category-level analytics.
What they are looking for
Which needs dominate: hydration, sun protection, anti-age. Real demand rather than search queries.
What is missing
Which requests the catalog does not cover. Where the gap between demand and assortment appears.
How they decide
Which factors shape the choice: price, ingredients, brand, texture. Decision behavior in the last mile.
INTEGRATION
Plug in within 1–2 weeks. No infrastructure rewrite.
API architecture. No system rebuild. A lightweight layer over the catalog with no heavy dependencies or lock-in.
01Brief and catalog audit1–2 days
02SKU tagging and language layer2–3 days
03API / QR / iframe integration2–3 days
04QA and compliance check1–2 days
05Pilot launch at one locationLIVE
// Minimal integration via iframe
<iframe
src="https://skinbot.ru/embed"
data-partner="your-brand-id"
data-catalog="v3"
width="100%" height="640"
></iframe>// API integration for deep customization
POST /api/v1/recommend
{
"answers": [...],
"catalog_id": "your-brand-id"
}Launch pilot in a month.
Pay for results.
A one-month pilot with fixed metrics. Integration via API, QR or iframe. Compliance-ready architecture. Support team at every step.
Reply within 24 hours · NDA on request