Three dimensional shopping cart

1. A computer implemented method of purchasing quantities of items using a 3D shopping cart, said method comprising:

receiving, by said computer, a listing of items selected for possible purchase from one or more external e-commerce systems through an API;

identifying, by said computer, characteristics of each item in said item listing based on data points acquired for each item from one or more data stores;

identifying, by said computer, an item type for each item based on said data points;

identifying, by said computer, shared characteristics among a plurality of said items;

generating, by said computer, a 3D ordering of said plurality of items, wherein said items in said 3D ordering are visually arranged according to said identified item type and said identified shared characteristics of said items, thereby forming a 3D shopping cart,

wherein the 3D ordering has a 3D shape defined, at least in part, by the number of said identified shared characteristics among said items, such that the shape has a number of axes corresponding to the number of identified shared characteristics,

wherein the 3D shopping cart comprises a plurality of constituent cells, wherein each cell represents an item or group of items and each column and row of cells in the 3D shopping cart represents a synergy between the items in the respective column or row;

displaying, by a display screen of said computer, the 3D shopping cart; and

transmitting, by said computer, said 3D shopping cart to said one or more external e-commerce systems allowing a user to checkout and purchase items in the 3D shopping cart from said one or more external e-commerce systems.

2. The computer implemented method of claim 1 wherein said identified shared characteristics are selected from a group consisting of: size, color, shape, cut, length, width, height, weight, construction material, safety rating, price or any combination thereof.

3. The computer implemented method of claim 1 , wherein said identified shared characteristics, said identified item characteristics, and said identified item types are stored in a data store.

4. The computer implemented method of claim 1 , further comprising:

receiving, by said computer, item classification requests from said one or more external e-commerce systems;

processing, by said computer, said requests; and

transmitting, by said computer to said one or more external e-commerce systems, a confirmation of classification and information regarding said identified item characteristics and said identified shared characteristics.

5. The computer implemented method of claim 1 , further comprising filtering out said identified characteristics or said identified shared characteristics in order to simplify at least one of a size and said shape of the 3D ordering.

6. The computer implemented method of claim 1 , further comprising the step of changing said shape generated for said 3D shopping cart to a perfect geometric shape.

7. The computer implemented method of claim 1 , further comprising the step of tilting the 3D shopping cart on said display screen of said computer in response to a signal from an accelerometer of said computer in order to move the 3D shopping cart to a desired view.

8. The computer implemented method of claim 1 , wherein one or more of said items can be removed from the 3D shopping cart and one or more of said items can be added to the 3D shopping cart.

9. The computer implemented method of claim 1 , wherein said user can view a specific group of items in the 3D shopping cart by filtering the 3D shopping cart based on at least one of: item type, item characteristic, and shared characteristics.

10. A non-transitory computer-readable medium having processor-executable instructions stored thereon that, when executed by a processor operably connected to one or more data stores cause the processor to:

receive a listing of items selected for possible purchase from one or more external e-commerce systems through an API;

identify characteristics of each item in said item listing based on data points acquired for each item from said one or more data stores;

identify an item type for each item based on said data points;

identify shared characteristics among a plurality of said items;

generate a 3D ordering of said plurality of items, wherein said items in said 3D ordering are visually arranged according to said identified item type and said identified shared characteristics of said items, thereby forming a 3D shopping cart,

wherein the 3D ordering has a 3D shape defined, at least in part, by the number of said identified shared characteristics among said items, such that the shape has a number of axes corresponding to the number of identified shared characteristics,

wherein the 3D shopping cart comprises a plurality of constituent cells, wherein each cell represents an item or group of items and each column and row of cells in the 3D shopping cart represents a synergy between the items in the respective column or row;

display the 3D shopping cart; and

transmit said 3D shopping cart to said one or more external e-commerce systems allowing a user to checkout and purchase items in the 3D shopping cart from said one or more external e-commerce systems.

11. The computer-readable medium of claim 10 , wherein said identified shared characteristics are selected from a group consisting of: size, color, shape, cut, length, width, height, weight, construction material, safety rating, price or any combination thereof.

12. The computer-readable medium of claim 10 , wherein said identified shared characteristics, said identified item characteristics, and said identified item types are stored in said one or more data stores.

13. The computer-readable medium of claim 10 , having further processor-executable instructions stored thereon that cause the processor to:

receive item classification requests from said one or more external e-commerce systems;

process said requests; and

transmit to said one or more external e-commerce systems a confirmation of classification and information regarding said identified item characteristics and said identified shared characteristics.

14. The computer-readable medium of claim 10 , having further processor-executable instructions stored thereon that cause the processor to filter out said identified characteristics or said identified shared characteristics in order to simplify at least one of the size and shape of the 3D ordering.

15. The computer-readable medium of claim 10 , having further processor-executable instructions stored thereon that cause the processor to change the shape generated for said 3D shopping cart to a perfect geometric shape.

16. The computer-readable medium of claim 10 , having further processor-executable instructions stored thereon that cause the processor to tilt the 3D shopping cart on said display in response to a signal from an accelerometer of a computer in order to move the 3D shopping cart to a desired view.

17. The computer-readable medium of claim 10 , wherein one or more of said items can be removed from the 3D shopping cart and one or more of said items can be added to the 3D shopping cart.

18. The computer-readable medium of claim 10 , wherein said user can view a specific group of items in the 3D shopping cart by filtering the 3D shopping cart based on at least one of: item type, item characteristic, and shared characteristics.