METHOD FOR MEAL OPTIMIZATION

• US 20130295531A1
• Filed: 04/29/2013
• Published: 11/07/2013
• Est. Priority Date: 05/01/2012
• Status: Abandoned Application

• Current Assignee: Zlavor Inc.
• Original Assignee: Zlavor Inc.
• Inventors: Addanki, Giridhar, Elbeyli, Ozer, Sayers, Corey, Govindaraju, Madhu
• Application Number:
  US13/873,180
• Publication Number:
  US 20130295531A1
• Time in Patent Office: Days
• US Class Current: 434/127
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G09B 19/0092 Nutrition

Abstract

Disclosed is a method for meal optimization comprising of populating a database with data where the data include recipes, diet choices, menus, food items or nutritional information. A first set of inputs is received where the first set of inputs are received from a device. The first set of inputs is associated with the data. A weight value is assigned to the data then the data is ranked. An optimization algorithm engine is run based on the data and first set of inputs. A first meal plan is generated and displayed. A second set of inputs after the displaying is received where the second set of inputs are based on the first meal plan. A second meal plan is generated and displayed. Confirmation of acceptance is received and after receiving this, the second meal plan is saved in a memory. The method is performed by a software program.

Claims

1. A method for meal optimization comprising:

i) populating a database with data, the data in the database include recipes, diet choices, menus, food items or nutritional information;

ii) receiving a first set of inputs from a user, the first set of inputs being received from a device used by the user, the first set of inputs being associated with the data in the database;

iii) assigning a weight value to the data based on the first set of inputs;

iv) ranking the data by the weight value;

v) running an optimization algorithm engine based on the data and first set of inputs;

vi) generating a first meal plan;

vii) displaying the first meal plan to the user on the device;

viii) receiving a second set of inputs from the user after the displaying, the second set of inputs being based on the first meal plan;

ix) generating a second meal plan;

x) displaying the second meal plan to the user on the device;

xi) receiving confirmation of acceptance from the user; and

xi) after receiving the confirmation from the user, saving the second meal plan in a memory;

wherein the method is performed by a software program.

2. The method of claim 1, wherein the device is a computer, laptop, tablet or smartphone.

3. The method of claim 1, further comprising, before displaying the first meal plan, saving the first meal plan in the memory.

4. The method of claim 1, wherein the first set of inputs includes a time period for when the meal plan will be utilized by the user.

5. The method of claim 4, wherein the time period for the meal plan is one week.

6. The method of claim 1, further comprising, before displaying the first meal plan, saving the first meal plan in the memory.

7. The method of claim 1, wherein the first set of inputs includes a designation of a favorite food from the user, the favorite food being assigned a high weight value.

8. The method of claim 1, wherein the first set of inputs includes a designation of a disliked food from the user, the disliked food being assigned a low weight value.

9. The method of claim 1, wherein the first set of inputs includes the option to exclude food items.

10. The method of claim 1, further comprising a platform for communication, ordering and payment for the user.

11. The method of claim 1, wherein the user includes a customer, publisher, grocery provider, prepared food provider, service provider, information user and data provider.

12. A machine-readable medium including instructions executable by the machine for meal optimization, the instructions causing the machine to:

i) populate a database with data, the data in the database include recipes, diet choices, menus, food items or nutritional information;

ii) receive a first set of inputs from a user, the first set of inputs being received from a device used by the user, the first set of inputs being associated with the data in the database;

iii) assign a weight value to the data based on the first set of inputs;

iv) rank the data by the weight value;

v) run an optimization algorithm engine based on the data and first set of inputs;

vi) generate a first meal plan;

vii) display the first meal plan to the user on the device;

viii) receive confirmation of acceptance from the user; and

ix) after receiving the confirmation from the user, saving the first meal plan in a memory;

wherein the machine-readable medium is performed by a software program.

13. The machine-readable medium of claim 12, wherein the device is a computer, laptop, tablet or smartphone.

14. The machine-readable medium of claim 12, wherein the first set of inputs includes a time period for when the meal plan will be utilized by the user.

15. The machine-readable medium of claim 14, wherein the time period for the meal plan is one week.

16. The machine-readable medium of claim 12, wherein the first set of inputs includes a recipe from the user.

17. The machine-readable medium of claim 12, wherein the first set of inputs includes a designation of a favorite food from the user, the favorite food being assigned a high weight value.

18. The machine-readable medium of claim 12, wherein the first set of inputs includes the option to exclude food items.

19. The machine-readable medium of claim 12, further comprising a platform for communication, ordering and payment for the user.

20. The machine-readable medium of claim 12, further comprising:

i) receiving a second set of inputs from the user after the displaying, the second set of inputs being based on the first meal plan;

ii) generating a second meal plan; and

iii) displaying the second meal plan to the user on the device.