Patent Application

App. No. 13/443,689

Abstract

Claims (57)

1 . A method for selection and distribution of products, comprising the steps of:

maintaining a database containing product information describing attributes of a plurality of products that are available for selection and distribution;

receiving user profile data for at least one user, wherein the user profile data contains descriptions of attributes of users;

wherein the attributes of the products and the attributes of the users can include attributes that correlate positively, negatively and/or neutrally with one another;

selecting at least one recommended product from the plurality of products, by searching the database for products having product information correlating relatively more positively with the attributes of the users as provided in the user's profile data; and

generating a personalized report regarding the at least one recommended product directed to the at least one user.

2 . The method according to claim 1 , wherein the plurality of products comprise personal care products;

the product information comprises information selected from the group consisting of ingredients, targeted skin tone, potential allergies, fragrance, targeted problem, type, viscosity, target age range, retail price, and combinations thereof; and

the user profile data comprises data selected from the group consisting of skin type, allergies, beauty concerns, desirable fragrances, undesirable fragrances, desirable brands, undesirable brands, age, beauty spending, and combinations thereof.

3 . The method according to claim 1 , wherein the step of receiving user profile data further comprises:

receiving user attributes from at least one of:

receiving direct input from a user regarding the user's attributes;

inferring attributes based on the direct input from the user;

identifying attributes based on the user's product survey results; and

inferring attributes based on another user with a similar user profile; and

storing the user profile data in the database.

4 . The method according to claim 1 , wherein the step of selecting a recommended product further comprises searching the database for products having product information correlating relatively less negatively with the attributes of the users as provided in the user's profile data.

5 . The method according to claim 1 , wherein the step of selecting a recommended product further comprises:

comparing the user profile data to the product information;

identifying a set of one or more correlating attributes;

for each of the correlating attributes, determining whether the correlation is positive, negative, or neutral; and

selecting a product with the greatest number of positive correlating attributes as the recommended product.

6 . The method according to claim 5 , further comprising excluding products having negative correlations from selection as a recommended product.

7 . The method according to claim 1 , wherein the step of selecting the recommended product comprises ranking the plurality of products or a subset of the plurality of products and selecting the highest ranked product.

8 . The method according to claim 1 , wherein the user profile data further includes previously recommended products, and previously recommended products are excluded from selection as a recommended product.

9 . The method according to claim 1 , wherein the personalized report relates to a correlation between the product information of the at least one recommended product and the user's profile data.

10 . The method according to claim 1 , wherein the steps of selecting a recommended product and generating a personalized report are repeated at regular intervals.

11 . The method according to claim 1 , further comprising:

maintaining a product inventory for at least a portion of the plurality of products, wherein the product inventory includes the recommended product;

distributing the recommended product to the user; and

providing the user with a product survey related to the user's experience with the recommended product.

12 . The method according to claim 11 , wherein the product inventory comprises full-size products.

13 . The method according to claim 11 , further comprising:

receiving a completed product survey from a user related to the user's experience with the recommended product; and

updating the user's profile data according to the information in the completed product survey.

14 . The method according to claim 11 , further comprising:

receiving a completed product survey; and

updating the product information for the recommended product according to the information in the completed product survey.

15 . The method according to claim 11 , further comprising receiving a completed product survey for the recommended product and providing at least some of the information in the completed product survey to an associated vendor.

16 . A method for selection and distribution of products, comprising the steps of:

maintaining a database containing user profile data for at least one user and product information for a plurality of products;

maintaining a product inventory for at least some of the of a plurality of products;

selecting at least one recommended product from the plurality of products, by searching the database for products having product information correlating to at least some of the user's profile data; and

generating a personalized report regarding the recommended product and directed to the at least one user; and

providing the personalized report to the user with at least one of the recommended product and purchase information for the recommended product.

17 . The method according to claim 16 , wherein the step of selecting the recommended product comprises determining a likelihood that a product will suit a user.

18 . A system for selection and distribution of materials, comprising:

at least one data processor having access to a data memory configured to maintain a database and being programmed to execute instructions;

wherein the database contains information describing a plurality of products and an inventory for at least some of the plurality of products;

wherein the database further contains user profile data for at least one user;

wherein the data processor is programmed to execute a process for selecting at least one recommended product from the plurality of products based on a search for products having at least some product information correlating relatively more positively to the user's profile data;

wherein the data processor is further programmed to execute a process for generating a personalized report regarding the recommended product for the at least one user; and

wherein the data processor is further programmed to initiate a process for distributing the recommended product to a recipient.

19 . The system according to claim 18 , further comprising a product inventory for at least some of the plurality of products, wherein the distributing process distributes the recommended product from the product inventory, and

the data processor is further programmed to execute a process for updating the database to reflect distribution of the recommended product from the product inventory.

20 . The system according to claim 18 , wherein the data processor is further programmed to initiate a process for providing a product survey to the user; and

the data processor is further programmed to execute a process for updating at least one of the user's profile data and the product information based on a completed product survey.

Assignments (11)