For the complete documentation index, see llms.txt. This page is also available as Markdown.

Version 2.64

Release date

16.03.2025

Product Recommendation System 2.0

We are excited to announce the release of our Product Recommendation System 2.0, a next-generation engine designed to transform the way users discover skincare. This major update leverages advanced AI technology to deliver hyper-personalized product recommendations tailored to each user's unique skin profile.

Key Features

  • Advanced AI Analysis: Combines sophisticated face analysis with large language models (LLMs) for unprecedented personalization

  • Flexible Output Modes: Choose between routine-style suggestions or dynamic product lists to suit different user experiences

  • Customizable Logic: Fine-tune recommendation results using proprietary brand logic, supported categories, or multilingual options

  • Seamless Integration: Built for easy implementation across web and mobile platforms

Integration with Consumer App

The Product Recommendation System 2.0 seamlessly integrates with the Consumer App, enhancing the user journey with personalized product suggestions based on comprehensive skin analysis.

Benefits

  • Higher Conversion Rates: Precise recommendations lead to increased purchase likelihood

  • Enhanced User Experience: Personalized shopping journeys improve customer satisfaction

  • Streamlined Product Discovery: Help users find the right products for their specific needs more efficiently

  • Brand Differentiation: Offer cutting-edge personalization that sets your platform apart

Getting Started

To implement or switch to the Recommendation System 2.0, visit our comprehensive documentation at: Recommendation System 2.0.


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