Simplenutrition nutritional management system

• US 9,959,561 B2
• Filed: 03/15/2013
• Issued: 05/01/2018
• Est. Priority Date: 07/01/2011
• Status: Active Grant

• Current Assignee: Safeway Incorporated (Albertsons Cos., Inc.)
• Original Assignee: Safeway Incorporated (Albertsons Cos., Inc.)
• Inventors: Reed, Margaret-Ann, Calvert, John, Moylan, Steve
• Primary Examiner(s): CASEY, ALEXIS M
• Application Number:
  US13/837,907
• Publication Number:
  US 20130226729A1
• Time in Patent Office: 1,873 Days
• Field of Search: 705 267
• CPC Class Codes: G06Q 30/0226 Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

A nutritional management system which comprises a processor, a memory, a first data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products, a second data store comprising a physiological information profile for each of a plurality of different loyalty card users, an application stored in the memory. When executed by the processor the application accesses the second data store to read the physiological information profile of a loyalty card user, analyzes the physiological information profile based on objective nutritional guidelines set forth for physiological characteristics disclosed in the physiological information profile, searches the first data store to find products that satisfy the objective nutritional guidelines, transmits the products, receives a selection of one or more of the products, and promotes generating a personalized shopping list comprising selected products that is based on the physiological information profile.

Claims

1. A nutritional management system, comprising:

a plurality of processors in a cloud computing environment;

a memory of ROM, RAM, or both ROM and RAM located in the cloud computing environment;

a first data store comprising a physiological information profile for each of a plurality of different loyalty card users;

a second data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products;

a third data store comprising purchase histories linked to the plurality of different loyalty card users; and

an application stored and partitioned in the memory that, when executed by the plurality of processors,

accesses the first data store to read the physiological information profile of a loyalty card user,

analyzes the physiological information profile of the loyalty card user based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user,

accesses the third data store to read a purchase history of the loyalty card user over a most recent predefined time period,

analyzes the most recent predefined time period of the purchase history of the loyalty card user based on objective nutritional guidelines set forth for one or more of the physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify unhealthy purchased items, wherein the unhealthy purchased items includes a least healthy previous purchase,

searches the second data store to find substitute candidates for the unhealthy purchased items,

identifies at least one of the substitute candidates that is eligible for an individual discount targeted to the loyalty card user,

transmits, in a webpage to a mobile phone of the loyalty card user via a network connected to a wireless communication link provided by a transceiver base station, the least healthy previous purchase, the at least one of the substitute candidates that is eligible for the individual discount, and the individual discount,

wherein the least healthy previous purchase, the at least one of the substitute candidates that is eligible for the individual discount, and the individual discount are presented in the web page to call attention to the least healthy previous purchase and the individual discount for the at least one of the substitute candidates that is eligible for the individual discount,

receives a selection, from the mobile phone via the network connected to the wireless communication link provided by the transceiver base station, of one or more of the substitute candidates that is eligible for the individual discount, and

generates a personalized shopping list comprising the one or more of the substitute candidates that is selected and that is based on the loyalty card user'"'"'s physiological information profile.

2. The system of claim 1, wherein the objective nutritional guidelines for at least one of the physiological characteristics described in the physiological information profile takes precedence over the objective nutritional guidelines for other of the physiological characteristics described in the physiological information profile when the application searches the second data store to find products that satisfy the objective nutritional guidelines.

3. The system of claim 1, wherein when executed by the plurality of processors, the application further:

searches the second data store to find products that satisfy the objective nutritional guidelines, and

receives, from the mobile phone via the network connected to the wireless communication link provided by the transceiver base station, a selection of one or more of the products, wherein the personalized shopping list further comprises selected products that are based on the loyalty card user'"'"'s physiological information profile.

4. The system of claim 1, wherein the loyalty card user'"'"'s physiological information profile comprises information about one or more of the loyalty card user'"'"'s height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, organs, history of injuries, history of illness, allergies, immune system;

family medical history, personal medical history, current medical condition, addictions, dental health, gastrointestinal health, mental health, joint health, cardiovascular health, respiratory health, hormone activity, history of infection, history of disease, information about medication that the loyalty card user is taking, or information about another aspect of the loyally card user'"'"'s physiological characteristics.

5. The system of claim 1, wherein the nutritional information comprises information indicating the quantity of at least one of calories, protein, carbohydrate, fat, saturated fat, trans fat, fiber, sodium, potassium, calcium, iron, iodine, selenium, cholesterol, vitamin A, vitamin C, folate, sugar contained in the products, or combinations thereof.

6. A method performed by an application executed by a plurality of processors in a cloud computing environment, comprising:

accessing, by the plurality of processors, a first data store to read a physiological information profile for a loyalty card user;

analyzing, by the plurality of processors, the physiological information profile based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user;

accessing, by the plurality of processors, a third data store to read a most recent predefined time period of a purchase history of the loyalty card user, wherein the third data store comprises purchase histories linked to a plurality of different loyalty card users;

analyzing, by the plurality of processors, the most recent predefined time period of the purchase history of the loyalty card user based on objective nutritional guidelines set forth for one or more of the physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify unhealthy purchased items, wherein the unhealthy purchased items includes a least healthy previous purchase,

searching, by the plurality of processors, a second data store to find substitute candidates for the unhealthy purchased items, wherein the second data store comprises products, universal product codes associated with the products, and nutritional information associated with the products,

identifying, by the plurality of processors, at least one of the substitute candidates that is eligible for an individual discount targeted to the loyalty card user,

transmitting, by the plurality of processors in a web page to a mobile phone of the loyalty card user via a network connected to a wireless communication link provided by a transceiver base station, the least healthy previous purchase, the at least one of the substitute candidates that is eligible for the individual discount, and the individual discount,

wherein the least healthy previous purchase, the at least one of the substitute candidates that is eligible for the individual discount, and the individual discount are presented in the web page to call attention to the least healthy previous purchase and the individual discount for the at least one of the substitute candidates,

receiving, by the plurality of processors from the mobile phone via the network connected to the wireless communication link provided by the transceiver base station, a selection of one or more of the substitute candidates that is eligible for the individual discount, and

generating, by the plurality of processors, a personalized shopping list comprising the one or more substitute candidates that is selected and that is based on the loyalty card user'"'"'s physiological information profile.

7. The method of claim 6, further comprising:

identifying, by the plurality of processors, a list of products that satisfy the objective nutritional guidelines by accessing the second data store;

wherein precedence is given to at least one of the physiological characteristics described in the physiological information profile over others of the physiological characteristics described in the physiological information profile when identifying the list of products that satisfy the objective nutritional guidelines.

8. The method of claim 6, wherein the physiological information profile comprises information about one or more of the loyalty card user'"'"'s height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, organs, history of injuries, history of illness, allergies, immune system, family medical history, personal medical history, current medical condition, addictions, dental health, gastrointestinal health, mental health, joint health, cardiovascular health, respiratory health, hormone activity, history of infection, history of disease, information about medication the loyalty card user is taking, or information about another aspect of the loyalty card user'"'"'s physiological characteristics.

9. The method of claim 6, wherein the physiological information profile comprises information supplied by the loyalty card user.

10. The method of claim 7, wherein the physiological characteristics comprising at least one of diabetes, heart disease, cancer, Crohn'"'"'s disease, ulcers, hemophilia, viral infections, bacterial infections, fungal infections, and other medical conditions are given precedence over physiological characteristics comprising at least one of height, sex, and race when identifying a list of products that satisfy the objective nutritional guidelines.

11. The method of claim 6, further comprising:

assigning, by the plurality of processors, a relative importance to each piece of physiological information contained in the physiological information profile.

12. The method of claim 6, wherein the objective nutritional guidelines for medical conditions comprising at least one of diabetes, heart disease, cancer, Crohn'"'"'s disease, ulcers, hemophilia, viral infections, bacterial infections, fungal infections, and other medical conditions are personalized to the loyalty card user by taking into account the loyalty card user'"'"'s physical characteristics comprising at least one of height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, or allergies when establishing the objective nutritional guidelines.