Method for generating a cosmetic treatment routine

The method vectorizes product and user data to create compatible cosmetic routines, addressing the lack of multi-product recommendations by ensuring compatibility and relevance, thus improving user experience.

WO2026125384A1PCT designated stage Publication Date: 2026-06-18LOREAL SA
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
LOREAL SA
Filing Date
2025-12-09
Publication Date
2026-06-18

AI Technical Summary

⚠Technical Problem

Existing cosmetic recommendation methods primarily focus on individual products without considering the interactions and compatibility among multiple products, and there is a need for improved data integration and interoperability to provide customized multi-product routines.

⚗Method used

A computer-implemented method that generates a cosmetic treatment routine by vectorizing product and user information in a reference space, using an attribute reference system to select compatible products based on user characteristics and product attributes, and applying filtering criteria to ensure compatibility and relevance.

🎯Benefits of technology

Enables the generation of customized, time-efficient, and compatible cosmetic routines tailored to individual user preferences and skin/hair conditions, enhancing user experience by avoiding redundant or incompatible product combinations.

✦ Generated by Eureka AI based on patent content.

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    Figure EP2025086144_18062026_PF_FP_ABST
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Abstract

Disclosed is a method for generating a cosmetic treatment routine from a cosmetic product database, the database containing product information relating to cosmetic products, the product information being vectorized in a reference space, each cosmetic product in the database being represented by a product vector in the reference space, the cosmetic routine comprising a plurality of successive steps, each step comprising application of at least one product, the method comprising: - acquiring user information, - vectorizing the user information, - pre-selecting cosmetic products from the database, - filtering cosmetic products thus pre-selected, with a view in particular to excluding one or more cosmetic products, if any, listed as incompatible with the user information, - identifying, based on the product information of the products thus pre-selected and filtered, at least one product suitable for a respective step of said routine.
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