Hybrid prediction model for a sales prospector

US8775230B2 · kind B2 · utility

Assignee

• Oracle International Corporation · US

Inventors

• Francisco V. Casas · San Mateo, US
• Jooyoung Kim · Seoul, KR
• Krisztian Danko · Waterloo, CA
• Peter Stengard · Ludvika, SE
• Ari Mozes · Redwood City, US
• Marcos M. Campos · Cambridge, US

Key dates

• Filing date: Jun 2, 2009
• Grant date: Jul 8, 2014
• Expiry date: May 20, 2031

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0204
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems and methods provide a system for generating a sales prospect recommendation that uses demographic data to make a sales prospect recommendation that includes a product recommendation with a probability that the sale will close, and may include an estimated time to close the sale and projected revenue. The system imports customer data including past purchasing data and demographic data for a plurality of customers. The system can then generate a predictive model by training the model using the past purchasing data and the demographic data. When queried for a sales prospect recommendation, the system responds to the query with at least one sales prospect recommended by the predictive model.