US-12620017-B2 - Systems and methods for formulating custom cosmetic and personal care products for an individual

US12620017B2US 12620017 B2US12620017 B2US 12620017B2US-12620017-B2

Abstract

A computerized method of formulating custom cosmetic and personal care products for an individual with regards to a benefits list. The method collects customer data from the individual using a scoring function and customer consolidated data. The method generates benefits prioritization functions from the customer consolidated data using benefits priority triggers, identifies accessible routines using a routines library, and selects a recommended routine from the accessible routines. For each cosmetic and personal care product of the recommended routine, the method identifies the accessible formulas using formulation constraints and components library, generates benefit performance indexes of each accessible formula using performance contribution scores, selects an optimal formula from accessible formulas using benefit prioritization function and benefit performance indexes, and produces a custom cosmetic and personal care product according to the optimal formula. The method preferably includes a feedback loop to further improve the formulation.

Inventors

Morgan DURAND
Marie Mignon
Arnaud PLAS
Paul MICHAUX
Nicolas MUSSAT

Assignees

PROSE BEAUTY, INC.

Dates

Publication Date: 20260505
Application Date: 20240715

Claims (13)

1 . A computerized method of formulating custom cosmetic and personal care products for an individual with regards to a benefits list, using a processor-based computing system, the method comprising: collecting from the individual, by the processor-based computing system, customer data comprising a) stated preferences, b) stated needs, c) accuracy promoters, and d) at least one of a skin description and a hair description; generating, by the processor-based computing system, customer consolidated data from the customer data using a scoring function, the customer consolidated data comprise customer scores, needs and preferences, and a customer segment; generating, by the processor-based computing system, for each benefit of the benefits list a first benefit prioritization function from the customer consolidated data using benefits priority triggers; identifying, by the processor-based computing system, accessible routines from the customer segment using a routines library; selecting, by the processor-based computing system, a first recommended routine from the accessible routines using the customer consolidated data, the first recommended routine comprising at least one first cosmetic and personal care product; for each first cosmetic and personal care product of the first recommended routine: identifying, by the processor-based computing system, accessible formulas from the customer consolidated data, using formulation constraints and a components library; generating, by the processor-based computing system, for said each benefit of the benefits list a benefit performance index of each accessible formula using performance contribution scores; selecting, by the processor-based computing system, a first optimal formula from the accessible formulas using first benefit prioritization functions and benefit performance indexes; and producing, a first custom cosmetic and personal care product according to the first optimal formula; collecting from the individual, by the processor-based computing system, a customer feedback comprising an evaluation of the first recommended routine, and an evaluation of said each first cosmetic and personal care product; generating, by the processor-based computing system, a second benefit prioritization function by modifying the first benefit prioritization function based on the customer feedback; updating, by the processor-based computing system, the first recommended routine based on the customer feedback to provide a second recommended routine, the second recommended routine comprising at least one second cosmetic and personal care product; for each second cosmetic care product of the second recommended routine: selecting, by the processor-based computing system, a second optimal formula from the accessible formulas using the second benefit prioritization functions and the benefit performance indexes; and producing, a second custom cosmetic and personal care product according to the second optimal formula.
2 . The method of claim 1 , wherein the customer data further comprises exposome data and wherein the customer scores, needs and preferences take into account the exposome data.
3 . The method of claim 1 , wherein the customer data further comprises at least one of a face picture of the individual and a scalp picture of the individual; and the method further comprises determining, by the processor-based computing system using a machine learning algorithm, at least one of skin metrics and hair metrics from said at least one of the face picture and the scalp picture; and wherein the customer scores, needs and preferences take into account said at least one of skin metrics and hair metrics.
4 . The method of claim 1 , wherein the step of selecting the first recommended routine comprises validating or editing, by the individual, a core routine; and recommending, by a processor-based computing device, upsell products.
5 . The method of claim 4 , wherein the steps of updating, by the processor-based computing system, the first recommended routine to provide the second recommended routine comprise validating or editing, by the individual, a core routine; and recommending, by a processor-based computing device, upsell products.
6 . The method of claim 1 , wherein the performance contribution scores are predetermined using a machine learning model trained on performances measured instrumentally.
7 . The method of claim 1 , wherein the performance contribution scores are predetermined using a machine learning model trained on performances evaluated via a sensory experts panel.
8 . The method of claim 1 , wherein the performances contribution scores are predetermined using a machine learning model trained on evaluation of first custom cosmetic and personal care products comprised in the customer feedback.
9 . A processor-based computing system to formulate custom cosmetic and personal care products for an individual with regards to a benefits list, the processor-based computing system comprising a processor-based computing device, when executing instructions stored in an electronic memory, configured to: receive customer data from the individual comprising a) stated preferences, b) stated needs, c) accuracy promoters, and d) at least one of a skin description and a hair description; generate customer consolidated data from the customer data using a scoring function, the customer consolidated data comprise customer scores, needs and preferences, and a customer segment; generate, for each benefit of the benefits list, a first benefit prioritization function from the customer consolidated data using benefits priority triggers; identify accessible routines from the customer segment using a routines library; select a first recommended routine from the accessible routines using the customer consolidated data, the first recommended routine comprising at least one first cosmetic and personal care product; for each first cosmetic and personal care product of the first recommended routine: identify accessible formulas from the customer consolidated data, using formulation constraints and a components library; generate, for said each benefit of the benefits list, a benefit performance index of each accessible formula using performance contribution scores; and select a first optimal formula from the accessible formulas using first benefit prioritization functions and benefit performance indexes; collect a customer feedback from the individual, the customer feedback comprising an evaluation of the first recommended routine, and an evaluation of a plurality of first custom cosmetic and personal care products; generate, for said each benefit of the benefits list, a second benefit prioritization function by modifying the first benefit prioritization function based on the customer feedback; update the first recommended routine based on the customer feedback to provide a second recommended routine, the second recommended routine comprising at least one second cosmetic and personal care product; and for each second cosmetic and personal care product of the second recommended routine, select a second optimal formula from the accessible formulas using the second benefit prioritization functions and the benefit performance indexes.
10 . The computing system of claim 9 , further comprising a user personal processor-based device in communication with the processor-based computing device and wherein the user personal processor-based device is configured to collect the customer data from the individual and to send the customer data to the processor-based computing device.
11 . The computing system of claim 10 , further comprising a machine learning module configured to generate a performance machine learning model using at least one of the followings: performances measured instrumentally; performances evaluated via a sensory experts panel; evaluation of said plurality first custom cosmetic and personal care products comprised in the customer feedback; and wherein the performance machine learning model is configured to produce the performance contribution scores.
12 . The method of claim 1 , wherein the first and second benefit prioritization functions are discontinuous functions of Derringer and Suich.
13 . The computing system of claim 9 , wherein the first and second benefit prioritization functions are discontinuous functions of Derringer and Suich.

Description

TECHNICAL FIELD The present invention belongs to the field of systems and methods for formulating cosmetic and personal care products. In particular, the present invention concerns a method and a system for formulating custom cosmetic and personal care products and recommending a cosmetic and personal care routine. BACKGROUND OF THE INVENTION Cosmetic and personal care products, encompassing skincare and hair care, are typically mass-produced and categorized based on singular attributes such as hair texture and/or singular benefits like color protection. This segmentation strategy aims to streamline product lines and optimize production costs, but it falls short in meeting the diverse and intricate needs of each individual consumer. As a result, the performance of these products may not be optimal for every user, particularly for those having multiple needs, concerns and preferences and lead to necessary trade-offs. This underscores the necessity for personalized products tailored to meet the unique needs and preferences of each specific individual. Currently, several solutions are described to customize cosmetic and personal care products for individuals. Most of these solutions fall into a first category which consists of selecting from a list of mass produced products the most relevant off-the-shelf-products to fit a specific individual needs. This category greatly limits the efficacy of selected products because of the limited list from which products are selected and because it fails to fully accommodate the diverse and nuanced preferences of individual users. The efficacy of a cosmetic and personal care product is its capability to produce the desired effects on a specific user. For example, one solution relies on defining a set of ingredients capable of addressing the needs of a specific user and then selecting from a set of products the ones containing part or all ingredients of the defined set of ingredients. This solution falls into the first category hence provides limited efficacy of the recommended products with regards to the user specificities. A second category, addressing this difficulty, consists in formulating a product to custom fit its user specificities. A solution corresponding to this second category relies on the use of instrumental devices by the user to get skin and/or hair measurements. This approach represents a relatively accurate way of evaluating the user skin and/or hair health and needs but is limiting the user access to this solution as the use of instrumental devices cannot be easily implemented at the user's home. Another approach is to rely on self-declared data from the user, it greatly increases the accessibility of the solution but suffers from a lower reliability of the information used as input for the formulation. One key challenge for solutions in this second category is to optimize the custom product formulation with regards to all the different specificities of an individual user. SUMMARY AND OBJECT OF THE INVENTION The present invention has for objective to remedy all or a portion of the limitations of the solutions of prior art, in particular those mentioned hereinabove, by proposing a method and a system for formulating custom cosmetic and personal care products and recommending a cosmetic and personal care routine. To this effect, and according to a first aspect, the invention relates to a computerized method of formulating custom cosmetic and personal care products for an individual with regards to a benefits list, using a processor-based computing system. The method comprises collecting from the individual, customer's data, generating customer's consolidated data from the customer's data using a scoring function. The customer's data includes stated preferences, stated needs, accuracy promoters and at least one of a skin description and a hair description. The consolidated customer's data comprises customer's scores, needs and preferences and a customer's segment. The method also comprises generating, for each benefit of the benefits list, first benefit prioritization functions from the customer's scores, needs and preferences using benefits priority triggers, identifying accessible routines from the customer's segment using a routines library, and selecting a first recommended routine from accessible routines using the customer's scores, needs and preferences. The recommended routine includes at least one first cosmetic and personal care product. For each first cosmetic and personal care product of the first recommended routine, the method includes identifying accessible formulas from the customer's scores, needs and preferences using formulation constraints and a components library, generating, for each benefit of the benefits list, a benefit performance index of each accessible formula using performance contribution scores, selecting a first optimal formula from accessible formulas using first benefit prioritization functions and benefit performance ind