Method and system for selecting optimal commodities based upon business profile and preferences

• US 20050203793A1
• Filed: 03/09/2005
• Published: 09/15/2005
• Est. Priority Date: 02/04/2000
• Status: Active Grant

• Current Assignee: Globys Inc (Constellation Software Incorporated)
• Original Assignee: Globys Inc (Constellation Software Incorporated)
• Inventors: Snyder, Scott Andrew
• Granted Patent: US 7,711,606 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0621 Item configuration or customization
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: Y10S 706/925 Business

Abstract

A system and method for assisting a customer in choosing among commodities based on a business profile of the customer that includes asking the customer for a definition of its business; searching a decision rules database and applying decision rules to the business definition; creating a set of business requirement questions based upon the applied decision rules database; answering the set of business requirement questions by the customer; implementing a business rule filter to the answers of the set of business requirement questions; recommending to the customer commodity types based upon the business rule implementation; and optimizing the recommended commodity types to find the best value commodity, which can be a product or service.

Claims

1. A method for assisting a customer in choosing among commodities, the comprising:

searching a decision rules database and applying decision rules to a definition of a customer'"'"'s business;

creating a set of business requirement questions based upon the applied decision rules database;

implementing a business rule filter to answers to the set of business requirement questions; and

recommending to the customer commodity types based upon the business rule filter implementation, wherein the recommendation includes;

allowing the customer to request a non-recommended commodity type; and

employing the non-recommended commodity types and the recommended commodity types to determine an optimum commodity selection for use by the customer.

2. The method of claim 1, wherein the step of recommending further comprises, allowing the customer to de-select at least one of the recommended commodity types.

3. The method of claim 1 whereby the business rules generate the business requirement questions interactively through fuzzy logic.