Commerce system and method of controlling the commerce system using an optimized shopping list

• US 8,645,223 B2
• Filed: 06/23/2011
• Issued: 02/04/2014
• Est. Priority Date: 07/15/2010
• Status: Active Grant

• Current Assignee: Engage3, Inc.
• Original Assignee: Myworld, Inc.
• Inventors: Ouimet, Kenneth J.
• Primary Examiner(s): Airapetian, Mila
• Application Number:
  US13/167,011
• Publication Number:
  US 20120016764A1
• Time in Patent Office: 957 Days
• Field of Search: 705/26.1
• US Class Current: 705/26.1
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing

Abstract

A commerce system involves transactions between manufacturers, distributors, retailers, and consumers. Product information for a plurality of products is collected and stored in a database. A website is provided for a consumer to create a shopping list with weighted product attributes. A baseline product value is determined for each of the products. A consumer weighted product value is determined based on the baseline product value and the weighted product attributes. A discounted offer is generated for the consumer. A product score is determined based on the consumer weighted product value and retailer product value. The shopping list is optimized based on the product score. The optimized shopping list is provided to the consumer to assist with purchasing decisions. Purchasing decisions within the commerce system are controlled by enabling the consumer to select the products for purchase based on the optimized shopping list.

Claims

1. A method of controlling a commerce system, comprising:

collecting product information for a plurality of products;

storing the product information in a database and on a computer-readable storage medium;

providing a website for a consumer to create a shopping list including weighted product attributes;

determining a baseline product value for each of the plurality of products;

determining a consumer weighted product value based on the baseline product value and the weighted product attributes;

determining a product score based on the consumer weighted product value;

optimizing the shopping list based on the product score using a processor;

providing the optimized shopping list including an individualized offer to the consumer to assist with purchasing decisions; and

controlling the purchasing decisions within the commerce system by enabling the consumer to select the products for purchase based on the optimized shopping list.

2. The method of claim 1, further including determining the consumer weighted product value by PV0*(1+CV_A1%)*(1+CV_A2%)*(1+CV_A3%)* . . . *(1+CV_An%), where PV0 is the baseline product value and CV_An as a percentage increase or decrease in value of the product to the consumer, given the weighted product attributes An.

3. The method of claim 1, further including determining the product score by (PV−

PVR)/PVR or (PV−

PVR)/PV, where PV is the consumer weighted product value and PVR is a retailer product value.

4. The method of claim 1, further including generating a discounted offer for the consumer.

5. The method of claim 1, further including assigning monetary units of measure to the baseline product value and consumer weight product value.

6. The method of claim 1, further including assigning the weighted product attributes with a sliding scale.

7. A method of controlling a commerce system, comprising:

generating a shopping list for a consumer containing a product including weighted product attributes;

determining a baseline product value for the product;

determining a consumer weighted product value based on the baseline product value and the weighted product attributes;

determining a product score based on the consumer weighted product value;

optimizing the shopping list based on the product score using a processor; and

utilizing the optimized shopping list to control purchasing decisions within the commerce system by enabling the consumer to select the product for purchase based on the optimized shopping list.

8. The method of claim 7, further including:

collecting product information for the product; and

storing the product information in a database.

9. The method of claim 7, further including determining the consumer weighted product value by PV0*(1+CV_A1%)*(1+CV_A2%)*(1+CV_A3%)* . . . *(1+CV_An%), where PV0 is the baseline product value and CV_An as a percentage increase or decrease in value of the product to the consumer, given the weighted product attributes An.

10. The method of claim 7, further including determining the product score by (PV−

PVR)/PVR or (PV−

PVR)/PV, where PV is the consumer weighted product value and PVR is a retailer product value.

11. The method of claim 7, further including generating a discounted offer for the consumer.

12. The method of claim 7, further including providing a website for the consumer to create the shopping list with the weighted product attributes.

13. The method of claim 7, further including assigning monetary units of measure to the baseline product value and consumer weight product value.

14. A method of controlling a commerce system, comprising:

generating a shopping list for a consumer containing a product;

determining a product score for the product using a processor;

optimizing the shopping list based on the product score and including an individualized offer; and

utilizing the optimized shopping list to control purchasing decisions within the commerce system by enabling the consumer to select the product for purchase based on the optimized shopping list.

15. The method of claim 14, further including:

collecting product information for the product; and

storing the product information in a database.

16. The method of claim 14, further including:

determining a baseline product value for the product;

determining a consumer weighted product value for the product; and

determining the consumer weighted product value based on the baseline product value and weighted product attributes.

17. The method of claim 16, further including determining the consumer weighted product value by PV0*(1+CV_A1%)*(1+CV_A2%)*(1+CV_A3%)* . . . *(1+CV_An%), where PV0 is the baseline product value and CV_An as a percentage increase or decrease in value of the product to the consumer, given the weighted product attributes An.

18. The method of claim 17, further including determining the product score by (PV−

PVR)/PVR or (PV−

PVR)/PV, where PV is the consumer weighted product value and PVR is a retailer product value.

19. The method of claim 14, further including generating a discounted offer for the consumer.

20. The method of claim 14, further including providing a website for the consumer to create the shopping list including weighted product attributes.

21. A computer program product usable with a programmable computer processor having a computer readable program code embodied in a non-transitory computer usable medium for controlling a commerce system, comprising:

generating a shopping list for a consumer containing a product including weighted product attributes;

determining a consumer weighted product value for the product;

determining a product score based on the consumer weighted product value;

optimizing the shopping list based on the product score and including a recommended product; and

utilizing the optimized shopping list to control purchasing decisions within the commerce system by enabling the consumer to select the product for purchase based on the optimized shopping list.

22. The computer program product of claim 21, further including:

determining a baseline product value for the product; and

determining the consumer weighted product value based on the baseline product value and the weighted product attributes.

23. The computer program product of claim 22, further including determining the consumer weighted product value by PV0*(1+CV_A1%)*(1+CV_A2%)*(1+CV_A3%)* . . . *(1+CV_An%), where PV0 is the baseline product value and CV_An as a percentage increase or decrease in value of the product to the consumer, given the weighted product attributes An.

24. The computer program product of claim 21, further including determining the product score by (PV−

PVR)/PVR or PV−

PVR)/PV, where PV is the consumer weighted product value and PVR is a retailer product value.

25. The computer program product of claim 21, further including generating a discounted offer for the consumer.