Systems and methods of managing price modeling data through closed-loop analytics

• US 20050278227A1
• Filed: 05/28/2004
• Published: 12/15/2005
• Est. Priority Date: 05/28/2004
• Status: Abandoned Application

• Current Assignee: Vendavo, Inc.
• Original Assignee: Vendavo, Inc.
• Inventors: Vijaykumar, Narayanan, Gonzalez-Caloni, Rafael A., Esary, Niel, Murphy, Sean M., Lee, Simon C., Brown, Marc H.
• Application Number:
  US10/857,263
• Publication Number:
  US 20050278227A1
• Time in Patent Office: Days
• US Class Current: 705/26
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0611 Request for offers or quotes

Abstract

The present invention presents systems and methods for managing price modeling data through closed-loop analytics including a historical database populated with price modeling data; a rule based policy database populated with rules based on historical price modeling data; a transactional database for generating quotes conforming to rules from the rule based policy database; and a service database for transacting quotes generated by the transaction database and providing the transacted quotes to the historical database.

Claims

1. A system for managing price modeling data through closed-loop analytics comprising:

a historical database populated with price modeling data;

a rule based policy database populated with rules based on historical price modeling data;

a transactional database for generating at least one quote conforming to at least one of the rules from the rule based policy database; and

a service database for transacting the at least one quote generated by the transaction database and providing the at least one quote to the historical database.

2. A method for managing price modeling data through closed-loop analytics comprising:

populating a historical database with price modeling data;

populating a rule based policy database with rules based on historical price modeling data;

generating at least one transactional quote conforming to at least one of the rules from the rule based policy database; and

providing the at least one transactional quote to the historical database.

4. The method of claim 2 wherein the historical database includes a sale transaction.

5. The method of claim 2 wherein the historical database includes a price adjustment continuum.

6. The method of claim 5 wherein the price adjustment continuum includes at least one of an industry adjustment, a sales discretion, a shipping charge, a shipping allowance, a late payment cost, an extended terms cost, a consignment cost, a return cost, a packaging cost, a base material cost, an additive cost, a processing cost, a variable cost, a shortfall cost and an overage cost.

7. The method of claim 2 wherein the at least one transactional quote includes a rebate.

8. The method of claim 7 wherein the rebate is for a sale in a given region.

9. The method of claim 2 wherein the at least one transactional quote require at least one level of approval.

10. The method of claim 2 further comprising generating a deal indicator.

11. The method of claim 10 wherein the deal indicator corresponds to profitability.

12. The method of claim 2 wherein the at least one transactional quote includes a deal suggestion based on at least one quote parameter.

3. A computer program product in a computer readable media for managing price modeling data through closed-loop analytics, the computer program product comprising:

a historical database populated with price modeling data;

a rule based policy database populated with rules based on historical price modeling data;

a transaction database for generating at least one quote conforming to at least one of the rules from the rule based policy database; and

a service database for transacting the at least one quote generated by the transaction database and providing the at least one quote to the historical database.