Recommendation System 2.0
What Recommendation System 2.0 does, how it pairs face analysis with large language models to personalize suggestions, and where it runs.
About the Recommendation System 2.0
Haut.AI’s Product Recommendation System 2.0 is a next-generation engine designed to transform the way users discover skincare. By combining advanced face analysis with large language models (LLMs), this AI-powered system delivers hyper-personalized product recommendations based on each user’s unique skin condition, goals, and preferences.
With flexible output modes—routine-style suggestions or dynamic product lists—it adapts to any user flow. Plus, brands can fine-tune the results using proprietary logic, supported categories, or multilingual options. Built for seamless integration across web and mobile experiences, this powerful tool helps beauty retailers boost conversions and deliver truly personalized customer journeys.
Availability of Application
Product recommendation system is a feature that tailors Product Item suggestions to each user's unique skin analysis results. Our Recommendation Engine can be used:
via Consumer Apps for all plan clients.
via API for Professional plan clients. See the detailed API doc: API for Recommendation System 2.0.
Recommendation System 2.0 works with Face Metrics 2.0 and Face Skin Analysis 3.0.
Using the Application
You can read more about using the application here: https://github.com/hautaiou/saas-gitbook/blob/main/haut.ai-features/product-recommendation-system-2.0.
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