Cooking management

Abstract

A cooking management system is described that identifies a customer and orders a product for the customer based at least on current temporal data. The cooking management system identifies customers associated with previous product requests that occurred during a predetermined range of time based at least on a comparison of current temporal data with temporal data associated with the previous product requests. The cooking management system causes presentation of identifiers of the identified customers on a display. Responsive to determining that the identifier for a particular customer has been selected, the cooking management system automatically causes a cooking device to prepare a product for the particular customer based at least on customer data associated with the particular customer.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 under control of one or more computing devices configured with specific computer-executable instructions,
 obtaining current temporal data; 
 identifying in real time a plurality of customers based at least on the current temporal data and temporal data associated with the plurality of customers; 
 determining a particular customer of the plurality of customers has been selected; and 
 responsive to determining that the particular customer has been selected, automatically causing a cooking device to prepare a product for the particular customer based at least on customer data stored in a data storage device and associated with the particular customer. 
   
     
     
         2 . The computer-implemented method of  claim 1 , wherein identifiers of the plurality of customers are presented on a display. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein identifying in real time the plurality of customers based at least on the current temporal data and the temporal data associated with the plurality of customers comprises identifying in real time the plurality of customers based at least on a comparison of the current temporal data with the temporal data associated with the plurality of customers. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein the temporal data associated with the plurality of customers comprises temporal data associated with a plurality of previous product requests. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein determining the particular customer has been selected comprises determining an identifier for a particular customer has been selected. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein identifying in real time the plurality of customers is further based at least on location information of at least one or more of a plurality of previous product requests, a customer of the plurality of customers, a vendor of the product, and the cooking device. 
     
     
         7 . The computer-implemented method of  claim 1 , wherein automatically causing the cooking device to prepare the product for the customer is further based at least on the current temporal data. 
     
     
         8 . The computer-implemented method of  claim 1 , wherein the temporal data associated with the plurality of customers comprises temporal data associated with a plurality of previous product requests that occurred during a predetermined range of time, wherein the predetermined range of time is a different day than the current temporal data and is based at least on at least one or more of the time of day of the current temporal data, the day of the week of the current temporal data, and the season of the current temporal data. 
     
     
         9 . A system comprising:
 a computing device in communication with one or more content data stores comprising customer data associated with at least one customer and temporal data associated with the at least one customer, wherein the computing device is configured to:
 obtain current temporal data; 
 identify in real time a customer based at least on the current temporal data and the temporal data associated with the at least one customer; and 
 automatically request a product for the customer based at least on the customer data associated with the at least one customer. 
   
     
     
         10 . The system of  claim 9 , wherein to identify in real time the customer, the computing device is further configured to identify the customer further based at least on location information. 
     
     
         11 . The system of  claim 10 , wherein the location information comprises location information of at least one or more of a previous product request, the customer, or a vendor of the product. 
     
     
         12 . The system of  claim 9 , wherein to automatically request the product for the customer, the computing device is further configured to automatically request the product for the customer further based at least on the current temporal data. 
     
     
         13 . The system of  claim 9 , wherein the temporal data associated with the at least one customer comprises temporal data associated with a previous product request that occurred during a predetermined range of time, wherein the predetermined range of time is a different day than the current temporal data. 
     
     
         14 . The system of  claim 9 , wherein the temporal data associated with the at least one customer comprises temporal data associated with a previous product request that occurred during a predetermined range of time, wherein the predetermined range of time is based at least on at least one or more of the time of day of the current temporal data, the day of the week of the current temporal data, and the season of the current temporal data. 
     
     
         15 . The system of  claim 9 , wherein the customer data comprises data regarding one or more previous product requests associated with the customer and wherein to automatically request the product for the customer, the computing device is further configured to automatically request the product for the customer further based at least on the one or more previous product requests associated with the customer. 
     
     
         16 . The system of  claim 9 , wherein the customer data comprises product preference data of the customer. 
     
     
         17 . The system of  claim 9 , wherein the data storage device stores temporal data associated with at least one thousand previous product requests and stores customer data associated with at least one thousand customers. 
     
     
         18 . A computer-readable, non-transitory storage medium having one or more computer-executable modules, the one or more computer-executable modules comprising:
 a first module in communication with one or more content data stores comprising customer data associated with at least one customer and temporal data associated with the at least one customer, wherein the first module is configured to:
 obtain current temporal data; 
 identify in real time a customer based at least on the current temporal data and the temporal data associated with the at least one customer; and 
 automatically request a product for the customer based at least on the customer data associated with the at least one customer. 
   
     
     
         19 . The computer-readable, non-transitory storage medium of  claim 18 , wherein to identify in real time the customer based at least on the current temporal data and the temporal data associated with the at least one customer, the first module is configured to identify in real time the customer based at least on a comparison of the current temporal data with the temporal data associated with the at least one customer. 
     
     
         20 . The computer-readable, non-transitory storage medium of  claim 18 , wherein the temporal data associated with the at least one customer comprises temporal data associated with a previous product request.