Patent ID: 7809601

Claim:
A method of formulating individualized product recommendations, comprising: receiving a first set of data from a consumer regarding a target substrate that includes a requirement to be addressed by a product; and generating a set of individualized product recommendations for the consumer from a plurality of products within a product category with an assistance of one or more computing devices, the generating comprising: feeding the first set of data as inputs into an intelligent performance-based product recommendation engine; classifying the consumer, based on the inputs, in a population of consumers who previously used a product in the product category in connection with a substantially similar substrate and who are substantially similar to the consumer; determining, based on the inputs and the classification of the consumer, a likelihood that the products in the product category will address the requirement with a predefined level of success when used in connection with the target substrate; and selecting a set of products from the product category having a predefined likelihood of successfully addressing the requirement, the selected set of products comprising the set of individualized product recommendations.