Preference based data collection and discounting system

Abstract

The preference-based data collection and discounting system and methods herein collect consumer product preferences and track the buying habits of a consumer and reward consumers through discounts. The buying habits may be interrogated by a database of one or more algorithms, which will result in a collated database about consumer buying habits. This metadata may be used by vendors to make marketing assumptions that will influence a consumer's future purchase decisions. Consumers directly input and update their preferences as well.

1 . A method for preference-based data collection and discounting comprising:
 providing, by one or more processors, a consumer unique identifier;   receiving, by one or more processors, a list of products associated with the consumer unique identifier, wherein the order of the list of more than one product is identified;   calculating, by one or more processors, a discount multiplier for the list of products, wherein the discount multiplier is based on the position of the product on the list of products;   receiving, by one or more processors, confirmation of the consumer unique identifier accessed at a transaction;   accessing, by one or more processors, the list of products associated with the identified consumer unique identifier;   determining, by one or more processors, if one of the products of the transaction are present on the list of products;   applying, by one or more processors, the discount multiplier to each products of the transaction based on the products position on the list of products;   modifying, by one or more processors, the price of the transaction based on the applied discount multiplier; and   updating, by one or more processors, the list of products based on the specific products involved in the transaction.   
     
     
         2 . The method of  claim 1 , further comprising, monitoring, by one or more processors, the list of products to determine if an alteration to the ordering of the list of products occurs. 
     
     
         3 . The method of  claim 1 , further comprising, reordering, by one or more processors, the products on the list of products when a transaction is completed, wherein products involved in the transaction are removed from the list of products and the products remaining on the list of products are adjusted sequentially. 
     
     
         4 . The method of  claim 1 , wherein, a logistic regression is applied to the list of products to determine the discount multiplier. 
     
     
         5 . The method of  claim 1 , wherein the discount multiplier is calculated, by one or more processors, based on a predetermined equation associated with the position on the list of products. 
     
     
         6 . The method of  claim 5 , wherein, the predetermined equation is either quadratic or linear. 
     
     
         7 . The method of  claim 1 , wherein the discount multiplier may further comprise, calculating, by one or more processors, a variable based on a regression calculation for a predetermined number of positions on the list of products. 
     
     
         8 . The method of  claim 7 , wherein the regression calculation is linear or quadratic. 
     
     
         9 . A computer program product for preference-based data collection and discounting, the computer program product comprising:
 one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
 program instructions to provide a consumer unique identifier; 
 program instructions to receive a list of products associated with the consumer unique identifier, wherein the order of the list of more than one product is identified; 
 program instructions to calculate a discount multiplier for the list of products, wherein the discount multiplier is based on the position of the product on the list of products; 
 program instructions to receive confirmation of the consumer unique identifier accessed at a transaction; 
 program instructions to access the list of products associated with the identified consumer unique identifier; 
 program instructions to determine if one of the products of the transaction are present on the list of products; 
 program instructions to apply the discount multiplier to each products of the transaction based on the products position on the list of products; 
 program instructions to modify the price of the transaction based on the applied discount multiplier; and 
 program instructions to update the list of products based on the specific products involved in the transaction. 
   
     
     
         10 . The computer program product of  claim 9 , further comprising, program instructions to monitor the list of products to determine if an alteration to the ordering of the list of products occurs. 
     
     
         11 . The computer program product of  9 , further comprising, program instructions to reorder the products on the list of products when a transaction is completed, wherein products involved in the transaction are removed from the list of products and the products remaining on the list of products are adjusted sequentially. 
     
     
         12 . The computer program product of  claim 9 , wherein, a logistic regression is applied to the list of products to determine the discount multiplier. 
     
     
         13 . The computer program product of  claim 9 , wherein program instructions calculated the discount multiplier based on a predetermined equation associated with the position on the list of products. 
     
     
         14 . The computer program product of  claim 13 , wherein, the predetermined equation is either quadratic or linear. 
     
     
         15 . The computer program product of  claim 9 , wherein program instructions calculate a variable based on a regression calculation for a predetermined number of positions on the list of products for the discount multiplier. 
     
     
         16 . The computer program product of  claim 15 , wherein the regression calculation is linear, or quadratic based on the regression calculation. 
     
     
         17 . A computer system for preference-based data collection and discounting comprising:
 one or more computer processors, one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media for execution by, at least one of the one or more processors, the program instructions comprising:   program instructions to provide at least one consumer unique identifier;   program instructions to receive one or more products in a specific order associated with the consumer unique identifier, wherein a list is formed;   program instructions to calculate a discount variable for each product on the list based on the specific order of the products of the list;   program instructions to calculate a maximum discount for each product, based on the specific order of the products and product data;   program instructions to determine if a product is modified in relation to the specific order of the list;   program instructions to recalculate the discount variable for each product on the list based on an updated specific order; and   offering, by one or more processors, at a predetermined time a notification of the discount variable based on the updated specific order of the products on the list.