Using consumption data and an inventory model to generate a replenishment plan

US10181107B2 · kind B2 · utility

Assignee

• Oracle International Corporation · US

Inventors

• Nithin Gopinath · Kanchinakote, IN
• Kiran Saindane · Dublin, US
• Nadav ZIVELIN · Menlo Park, US
• Bart Feldman · Lexington, US
• Michael Liebson · Cambridge, US
• Vikash Goyal · Newark, US
• Nagappan Periakaruppan · Burlington, US
• Eytan E. Arkin · Sharon, US

Key dates

• Filing date: Jun 25, 2014
• Grant date: Jan 15, 2019
• Expiry date: Jul 13, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/087
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method, system, and computer program product for generating forecasts and replenishment plans. Some embodiments commence upon receiving point-of-sale data, then receiving distribution-level order data in a second data format. The first point-of-sale data comprises an item identifier and a first date or first date range, and the distribution-level order data comprises the item identifier and a second date or second date range. The originators of the order data are determined using address identifiers (e.g., network location identifiers). The received data is combined wherein at least a portion of the point-of-sale data is combined with at least a portion of the distribution-level order data to generate a combined forecast for the item. Further processing includes receiving an inventory model parameter and combining at least a portion of the first point-of-sale consumption data with at least a portion of the distribution-level order data to generate a replenishment plan for the item.