SYSTEM AND METHOD FOR ONLINE SHOPPING OPTIMIZATION

• US 20120072303A1
• Filed: 09/12/2011
• Published: 03/22/2012
• Est. Priority Date: 04/27/2007
• Status: Abandoned Application

• Current Assignee: John Z. Zhu, Jonathan H. Brown
• Original Assignee: John Z. Zhu, Jonathan H. Brown
• Inventors: Brown, Jonathan H., Zhu, John Z.
• Application Number:
  US13/230,581
• Publication Number:
  US 20120072303A1
• Time in Patent Office: Days
• US Class Current: 705/26.8
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing

Abstract

Online shopping optimization in the context of the present invention refers to making the optimal business decisions with regard to an online or electronic commerce purchase. One aspect of the present invention provides a method comprising extracting buyers'"'"' demand information from buyer-specified items or a previously-configured shopping cart and searching a product catalog that, when provided with the items specified or selected by the buyer, returns exact or equivalent items, such as replacement or substitute products. The method comprises formulating the online shopping decision-making problem into a mathematical programming model. The system systematically and quantitatively makes decisions for a buyer over various cataloged items in order to maximize or minimize an objective function subject to various constraints. Recommended optimized shopping carts are then presented to the buyer.

Claims

1. A method for optimizing online shopping decisions on buying a plurality of items from a plurality of online vendors each having a respective product catalog database, wherein the respective product catalog database includes product specification information and price information for each item contained therein, to obtain a satisfactory value of an objective function reflecting said shopping decisions subject to a plurality of constraints, said method comprising the following steps:

identifying, using a computing device, a list of items that corresponds to the plurality of items;

searching, using said computing device, the product catalog databases of the plurality of online vendors for said list of items;

constructing, in said computing device, a mathematical programming modeling method for modeling an online shopping decision optimizing problem for purchasing the list of items, wherein said mathematical programming modeling method comprises a plurality of linear functions corresponding to the plurality of constraints that define said online shopping decision optimizing problem; and

solving said online shopping decision optimization problem using a mixed integer programming solution engine.

2. A method for optimizing online shopping decisions of a buyer for purchasing a plurality of items from a plurality of vendors each having a respective product catalog database, the method comprising the steps of:

compiling a shopping list corresponding to the plurality of items;

constructing, via a computing device, a mathematical programming modeling formulation in order to model a decision optimizing problem for purchasing the shopping list, wherein the mathematical programming modeling formulation comprises at least one linear function and the at least one linear function defines the decision optimizing problem;

solving, using a mixed integer programming solution engine, the mathematical programming modeling formulation for at least one first solution, wherein the at least one first solution represents a set of consistent shopping decisions; and

presenting the at least one first solution to the buyer.

3. The method of claim 2 wherein the computing device comprises the mixed integer programming solution engine.

4. The method of claim 2 further comprising:

receiving instructions from the buyer;

reformulating the mathematical programming modeling formulation based on the instructions;

solving the mathematical programming modeling formulation for at least one second solution; and

presenting the at least one second solution to the buyer.

5. The method of claim 4 further comprising receiving a confirmation of the at least one second solution selected by the buyer;

and ordering products represented by the at least one second solution.

6. The method of claim 2 further comprising searching for acceptable substitute products for the plurality of items;

and revising the shopping list based on results of the step of searching for acceptable substitute products for the plurality of items.

7. The method of claim 2 wherein the step of compiling a shopping list comprises considering at least one characteristic of the plurality of vendors.

8. The method of claim 2 wherein the step of compiling a shopping list comprises considering a desired delivery date.

9. The method of claim 4 further comprising extracting demand information of the buyer for the plurality of items.

10. The method of claim 9 further comprising revising the shopping list based on the demand information.

11. The method of claim 2 wherein the step of presenting the at least one solution to the buyer comprises expressing tradeoffs of the at least one solution.

12. The method of claim 2 further comprising:

extracting product information for at least one of the plurality of items;

identifying a substitute for the at least one of the plurality of items; and

revising the shopping list based on the step of identifying a substitute for the at least one of the plurality of items.

13. The method of claim 2 wherein the mathematical programming modeling formulation is an integer mathematical programming formulation.

14. The method of claim 2 wherein the mathematical programming modeling formulation is a mixed-integer mathematical programming formulation.

15. The method of claim 2 further comprising presenting multiple solutions, wherein the multiple solutions are similarly ranked.

16. The method of claim 2 further comprising extracting additional criteria for the decision optimizing problem from a profile of the buyer.

17. The method of claim 2 further comprising extracting additional criteria for the decision optimizing problem from a profile of at least one of the vendors.

18. The method of claim 9 wherein the at least one second solution includes a product that corresponds to the demand information.

19. The method of claim 2 further comprising initiating a financial transaction to purchase products identified in the at least one first solution from a set of the plurality of vendors identified in the at least one first solution.

20. A system for optimizing an online shopping decision of a buyer for purchasing an item from a plurality of vendors each having a respective product catalog database, the system comprising:

a processing device; and

memory operatively connected to the processing device, wherein the memory comprises computer instructions that, when executed by the processing device, cause the system to;

construct a mathematical programming modeling formulation in order to model the decision optimizing problem, wherein the mathematical programming modeling formation comprises at least one linear equation that defines the decision optimizing problem;

solve the mathematical programming modeling formulation using a mixed integer programming solution engine for at least one first solution, wherein the at least one first solution represents a set of consistent shopping decisions; and

present the at least one first solution to the buyer.