Method and apparatus for creating and using a master catalog

• US 7,133,882 B1
• Filed: 08/05/2002
• Issued: 11/07/2006
• Est. Priority Date: 08/05/2002
• Status: Expired due to Fees

• Current Assignee: LinkedIn Corporation (Microsoft Corporation)
• Original Assignee: DemandTec Inc. (International Business Machines Corporation)
• Inventors: Delurgio, Phil, Neal, Michael, Valentine, Suzanne, Pringle, Tamara
• Primary Examiner(s): Le, Uyen
• Assistant Examiner(s): CHEN, TE Y
• Application Number:
  US10/213,372
• Time in Patent Office: 1,555 Days
• Field of Search: 707/104.1, 709/229, 705/26, 705/14
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

A method for updating a master product attribute catalog database for consumer response modeling is provided. Data is received from at least one source of product data. A data integrity check is preformed on the received data. A reconciliation is performed between the received data and the master product attribute catalog. The reconciled received data is placed in a master product attribute catalog.

Claims

1. A computer-implemented method for updating a master product attribute catalog database for consumer response modeling, comprising:

receiving data in a customer specific data format from at least one source of product data, wherein the received data includes product data, store data, cost data promotion data and point of sale data;

converting the received data, using a customer specific data map, from the customer specific data format to a common data format useful for updating a master product attribute catalog;

storing the converted received data in a staging database;

performing a data integrity check on the converted received data;

determining if the converted received data exists in the master product attribute catalog, and if the converted received data exists in the master product attribute catalog;

then performing a reconciliation between the converted received data and the master product attribute catalog to determine whether there is a conflict between the converted received data and the master product attribute catalog, and if there is a conflict then performing a vote of the converted received data, and whenever the vote exceeds a threshold then updating the product data in the master product attribute catalog;

else if the converted received data does not exists in the master product attribute catalog, then creating a new record of the converted received data in the master product attribute catalog, and updating the master product attribute catalog by adding the product data to the new record;

adding the converted received data to a modeling database;

adding the product data from the master product attribute catalog to the modeling database;

creating a consumer response model from the converted received data and the product data in the modeling database, wherein the consumer response model includes a sales model;

adding the converted received data to an optimization database;

adding the product data from the master product attribute catalog to the optimization database; and

adding parameters including model coefficients of the consumer response model to the optimization database, and wherein the model coefficients are estimated using Bayesian statistics.

2. The computer-implemented method, as recited in claim 1, wherein the at least one source is at least three sources of product data.

3. The computer-implemented method, as recited in claim 1 wherein updating the product data in the master product attribute catalog includes updating a brand value.

4. The computer-implemented method, as recited in claim 1, further comprising generating an optimization from the converted received data, the product data and the parameters in the optimization database, and wherein the optimization includes optimized price and optimized promotion recommendations.

5. The computer-implemented method, as recited in claim 4, wherein the point of sale data includes volume of sales data and sale price data.

6. The computer-implemented method, as recited in claim 5, wherein a benefits reporting application determines and reports benefits derived from the optimization, reports compliance of retailers to the optimized price and the optimized promotion recommendations, and reports any variance between the model sales and the volume of sales data.

7. The computer-implemented method, as recited in claim 1, further comprising staging data maintenance on the received data.

8. The computer-implemented method, as recited in claim 1, wherein the modeling database includes a customer specific database of customer specific data.

9. The computer-implemented method, as recited in claim 1, wherein the product data storage in the master attribute catalog is by a retailer independent product attribute.

10. The computer-implemented method, as recited in claim 1, further comprising that the data source provide the received data to a fileserver for data reception.