US2020320819A1PendingUtilityA1

System and method to obtain and optimize mixtures for preparing beverages

Assignee: ILLYCAFFE S P A CON UNICO SOCIOPriority: Aug 22, 2014Filed: Jun 18, 2020Published: Oct 8, 2020
Est. expiryAug 22, 2034(~8.1 yrs left)· nominal 20-yr term from priority
G07F 9/001G07F 9/023A47J 31/40C12C 13/00A47J 31/521G06Q 50/12G06Q 30/0635G06Q 30/0643C12C 13/10A47J 31/52G07F 13/065A47J 31/525A47J 31/5253G06Q 30/0621A47J 31/402A47J 31/4492A47J 31/41A47J 31/56G07F 9/006A47J 31/404A47J 31/5251A47J 31/4414A47J 31/401
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Claims

Abstract

A device to produce personalized mixtures of substances is configured to be controlled by computer program code running on a user terminal. The computer program code enables a user of the user terminal to create and personalize the formulas for optimizing the beverage according to the specific needs of the user and order the beverages from a remote location.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A server comprising:
 a database to store at least a plurality of personalized preferences, wherein the preferences are collected from a plurality of users;   a processing device configured to create clusters of the personalized preferences according to a plurality of parameters.   
     
     
         2 . The server of  claim 1 , wherein the personalized preferences are personalized formulas of mixtures. 
     
     
         3 . The server of  claim 1 , wherein the parameters include at least a sensory profile, a purpose of a beverage, an origin profile, a type of blend, a territory, a geographic origin or area, a type of serving. 
     
     
         4 . The server of  claim 1 , wherein stored clustered personalized preferences are referred, or correlated, to other data for data analysis activities, including statistic analyses and/or big data analytics. 
     
     
         5 . A method for storing a plurality of personalized preferences on a server, the method comprising:
 receiving at the server, the plurality of personalized preferences from a plurality of user terminals;   storing the received plurality of personalized preferences in a database;   clustering the plurality of personalized preferences according to a plurality of parameters.   
     
     
         6 . The method of  claim 5 , wherein the personalized preferences are personalized formulas of mixtures. 
     
     
         7 . The method of  claim 5 , wherein the parameters include at least a sensory profile, a purpose of a beverage, an origin profile, a type of blend, a territory, a geographic origin or area, a type of serving. 
     
     
         8 . The method of  claim 5 , wherein stored clustered personalized preferences are referred, or correlated, to other data for data analysis activities, including statistic analyses and/or big data analytics.

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