Two phase predictive approach for supply network optimization

US10074066B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Ajay A. Deshpande · White Plains, US
• Saurabh Gupta · Delhi, IN
• Arun Hampapur · Norwalk, US
• Alan J. King · South Salem, US
• Ali Koc · White Plains, US
• Pradyumnha G. Kowlani · Foster City, US
• Yingjie Li · Elgin, US
• Ding Ding Lin · Beijing, CN
• Xuan Liu · Yorktown Heights, US
• Christopher S. Milite · Oxford, US
• Brian Leo Quanz · Yorktown Heights, US
• Chek Keong Tan · Danbury, US
• Dahai Xing · White Plains, US
• Xiao Bo Zheng · Shanghai, CN

Key dates

• Filing date: Feb 8, 2016
• Grant date: Sep 11, 2018
• Expiry date: Feb 8, 2036

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L43/0876
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method, system and computer program product for managing an order in an Omni-channel order fulfillment system is disclosed. A stock-keeping unit (SKU) node level cost is predicted for a plurality of SKUs. The order is received containing one or more SKUs. A candidate list of fulfillment nodes is determined for fulfilling each of the one or more SKUs in the order using the predicted SKU node level cost and a fulfillment node-destination shipping distance. One or more fulfillment nodes are selected from the candidate list, and the order is fulfilled using the selected one or more fulfillment nodes.