FAQ

Frequently asked questions about SKINBOT

We collected key answers about the product, AI skin analysis, data safety, brand-scoped mode, languages, and pilot launch.

No data retention

SKINBOT architecture is built around a stateless session without permanent user profiles.

Brand-scoped mode

On a brand website, SKINBOT selects within the brand lineup without breaking neutral selection logic.

Pilot in 4 weeks

Connection, limited category, first metrics, and a scaling decision.

FAQ

Frequently asked questions

SKINBOT is an AI service for photo-based skin analysis and personalized skincare selection. It analyzes skin parameters and builds a personalized routine from the partner catalog in 30 seconds. No registration, no data retention, 10+ languages.
The customer answers questions about skin type, needs, and constraints. If needed, they can add AI skin analysis through the camera. The system analyzes the parameters in real time and selects suitable products. All data is deleted after the session.
Yes. SKINBOT is built around stateless sessions, so data is not retained after the interaction. The architecture is designed around 152-FZ, GDPR, EU AI Act, and PDPL principles. We do not build user profiles.
A quiz gives fixed answers, and a chatbot usually returns scripted replies. SKINBOT runs a live dialogue, analyzes skin parameters, and builds a personalized routine with explanation. The result comes in 30 seconds, stays neutral, and is not tied to brands.
In brand-scoped mode, SKINBOT selects within a specific brand catalog while preserving neutral logic. The brand gets an AI expert that increases conversion inside its own portfolio.
10+ languages: Russian, English, Arabic, Chinese, and others. This is not just UI translation, but a full dialogue in the customer’s language. Additional languages can be added on request.
We discuss the terms individually. Request a demo and we will show the product in 30 minutes and propose a concrete pilot plan for your platform.
Yes. SKINBOT helps select dermocosmetics without medical claims. It is well suited to pharmacy chains with beauty zones and clinics as a between-visit tool.
4 weeks: 1 week for connection and calibration, 2 weeks for launch with a limited category, and 1 week for results review. API architecture, no system rebuild required.
No. SKINBOT is not a medical device, does not make diagnoses, and does not use medical wording. We recommend skincare, not treatment. Language Firewall is built into the system.
Perfect Corp is a recognition technology. Layla is a Chalhoub product for their own retail. SKINBOT is neutral infrastructure that plugs into any partner and does not compete with them. This is a position, not a feature.
No personal user data. Stateless architecture. The partner receives aggregated analytics on queries and recommendations - without identification.
SKINBOT can work as a neutral layer on top of existing systems or as a separate scenario for categories where an independent recommendation is needed. Discussed case by case.
Yes. The architecture is language-agnostic and the infrastructure is ready for GCC deployment. We are preparing entry into UAE and Saudi Arabia markets in 2026.

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.

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