Method And System For Pet Owner Marketing, Data Analytics, And Risk Assessment

Abstract

Information about a pet is collected and assembled into a pet profile. A one-click registration system allows a pet owner to register with various websites and applications based on the pet profile. The registration may include transfer of at least some of the pet profile which may include images/videos of the pet and marketing data. Targeted marketing, and risk, insurance, and credit assessments are based at least partially on the pet profile and such assessments and marketing may be determined via intelligent decisions, AI, machine learning, deep learning and other techniques individually or combined. The assessments may be accessed by third parties via an API or provided in report form.

What is claimed and desired to be secured by Letters Patent of the United States is: 
     
         1 . A system for providing targeted ads, comprising:
 an API comprising an input for a pet ID;   a database of pet profiles;   a server configured to retrieve a pet profile based on a pet ID received via the API, and send the pet profile out via the API.   
     
     
         2 . The system according to  claim 1 , wherein the pet profile includes an image of the pet. 
     
     
         3 . The system according to  claim 1 , further comprising a deep learning component that analyzes at least one of previous actions, purchases, habits, viewing time, location history, and social media postings related to the pet owner ID and determines likelihood of purchasing various types of products. 
     
     
         4 . The system according to  claim 1 , wherein the API is configured to accept a “one-click” registration of a known user from a third-party web-site or application. 
     
     
         5 . A risk assessment system, comprising:
 a data collection system configured to collect data associated with a pet owner;   an analysis component that analyzes the collected data and determines risk for at least one of life expectancy, accidents, and credit.   
     
     
         6 . The system according to  claim 5 , wherein the collected data includes pet breed information and the analysis component utilizes pet breed in determining the risk. 
     
     
         7 . The system according to  claim 6 , wherein the analysis component includes deep learning that parses the collected data, draws connections from the parsed data to a risk category, and then makes the risk determination. 
     
     
         8 . The system according to  claim 7 , wherein the parsing, connections, and risk determination is repeated over a large dataset. 
     
     
         9 . The system according to  claim 7 , wherein each parsed data is weighted making each connection more or less important depending on the weight. 
     
     
         10 . The system according to  claim 9 , wherein the weightings are changed and risk determination is repeated over the large dataset, and the changes are kept or used to base future risk determinations if the changes result in an improved risk determination. 
     
     
         11 . The system according to  claim 9 , wherein the risk determination comprises at least one of insurance, property rental, and credit risk determinations. 
     
     
         12 . A method of identifying a pet, comprising the steps of:
 receiving an image of the pet;   locating the pet in the image;   comparing the located pet to known pets; and   determining the closest match of the comparisons.   
     
     
         13 . The method according to  claim 12 , wherein the step of comparing comprises comparing the pet in the image to multiple instances each of a number of breeds, and the closest match comprises the highest percentage of matches within a certain breed. 
     
     
         14 . The method according to  claim 13 , wherein the number of breeds is determined by matching or substantially matching established breed characteristics with characteristics of the pet in the image. 
     
     
         15 . The method according to  claim 14 , wherein the established breed characteristics comprise at least one of color, fur density, fur direction, height, weight. 
     
     
         16 . The method according to  claim 12 , the step of comparing comprises comparing the pet in the image to images of other animals of a same breed in a pet database until a match identifies a specific pet in the database as being the same animal. 
     
     
         17 . The method according to  claim 12 , further comprising the step of searching the image for a name or breed of the pet. 
     
     
         18 . The method according to  claim 17 , wherein the step of searching the image comprises at least one of searching a name of the image, searching for images of text in the image, and searching metadata of the image. 
     
     
         19 . The method according to  claim 12 , further comprising the step of scanning portions of the Internet related to the image of the pet for a name or breed of the pet. 
     
     
         20 . The method according to  claim 19 , wherein the scanned portions of the Internet comprise social media postings.