METHOD AND SYSTEM FOR EVALUATING A CONSUMER PRODUCT BASED ON WEB-SEARCHABLE CRITERIA

• US 20110178839A1
• Filed: 01/19/2011
• Published: 07/21/2011
• Est. Priority Date: 01/20/2010
• Status: Abandoned Application

• Current Assignee: Createasoft Incorporated
• Original Assignee: Createasoft Incorporated
• Inventors: Adra, Hosni I.
• Application Number:
  US13/009,739
• Publication Number:
  US 20110178839A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0278 Product appraisal

Abstract

A method is provided for generating a value of a product by aggregating product information collected from a plurality of sources in a networked computer system. The method determines appropriate indicators for the product, and collects information associated with the located products from one or more of the sources. The method further selects a set of data from the parsed information and curve-fits the set of data based on the predetermined parameters to generate the value of the product.

Claims

1. A method of generating a value of a product, the method comprising the steps of:

determining indicators representative of manufacturing characteristics of the product;

collecting information associated with the determined indicators from one or more of a plurality of sources in a networked computer system;

parsing the collected information based on predetermined parameters;

selecting a set of data from the parsed information; and

generating the value of the product based on the selected set of data.

2. The method of claim 1, wherein the indicators comprise at least one of a manufacturer name, a model, and a type.

3. The method of claim 1, wherein the parameters comprise at least one of a product age, a product condition, and a product feature.

4. The method of claim 1, further comprising:

generating values for each of a plurality of products that forms an inventory.

5. The method of claim 4, further comprising:

generating an analysis comparison of the inventory within a geographical region.

6. The method of claim 4, further comprising:

determining a time to sell for the product based on at least one of a time of purchase of the product, seasonality, an inventory level of the product within the region.

7. The method of claim 5, further comprising:

determining projected inventory costs of the product based on market analysis, historical data, and cost of storing the product.

8. The method of claim 7, further comprising:

generating criteria for an offer acceptance to sell the product based on at least one of historical sales, market demands, and the inventory cost of the product.

9. The method of claim 7, further comprising:

generating guidelines on which products to purchase and respective maximum purchase prices in order to maintain current and future positive inventory values.

10. The method of claim 1, wherein the value of the product is either a retail value or a wholesale value.

11. The method of claim 1, wherein the step of generating the value of the product comprises:

curve-fitting the collected data to generate best-fit value curves or functions; and

deriving the value of the product from the generated curves or functions.

12. The method of claim 1, wherein the step of generating the value of the product comprises:

establishing a neural network model from historical data; and

generating the value of the product by plugging the collected data into the neural network model.

13. The method of claim 11, wherein the generate value of the product is either a current and future value of the product, provided via interpolations and extrapolations, respectively.

14. The method of claim 1, wherein the step of collecting information comprises:

triggering at least one crawler to visit the plurality of sources to locate products characterized by similar indicators.

15. The method of claim 1, wherein the determined indicators are from the group consisting of at least one of a manufacturer name, a model, a type, and a feature.

16. The method of claim 14, wherein the networked computer system is the Internet and the at least one crawler is a Web crawler.

17. The method of claim 1, wherein the generation of the value of the product is based on inventory comparison with that of at least one of the plurality of sources.

18. A computer readable medium comprising instructions which when executed by a computer system causes the computer to implement a method for generating a value of a product, the method comprising the steps of:

determining indicators representative of manufacturing characteristics of the product;

collecting information associated with the product from one or more of the plurality of sources in a networked system;

parsing the collected information based on predetermined parameters;

selecting a set of data from the parsed information; and

generating the value of the product based on the selected set of data.

19. A system for performing a method for generating a value of a product, the method comprising the steps of:

at least one processor programmed to determine indicators representative of manufacturing characteristics of the product;

at least one processor programmed to collect information associated with the located product from one or more of the plurality of sources in a networked system;

at least one processor programmed to parse the downloaded information based on predetermined parameters;

at least one processor programmed to select a set of data from the parsed information; and

at least one processor programmed to generate the value of the product based on the selected set of data.