Hierarchical conversational policy learning for sales strategy planning

US11222283B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Zhuoxuan Jiang · Shanghai, CN
• Jie Ma · Nanjing, CN
• Ya Bin Dang · Beijing, CN
• Jian Wang · Erlangen, DE
• Qi Cheng Li · Beijing, CN
• Li Jun Mei · Beijing, CN
• Xin Zhou · Shanghai, CN
• Hao Chen · Beijing, CN
• Yi Peng Yu · Beijing, CN
• Shao Chun Li · Beijing, CN

Key dates

• Filing date: Oct 23, 2018
• Grant date: Jan 11, 2022
• Expiry date: Jun 29, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G10L2015/226
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A computer-implemented method is presented for enabling hierarchical conversational policy learning for sales strategy planning. The method includes enabling a user to have a conversation with a robot via a conversation platform, employing a plan database to store general plans used in the conversation, employing an industry database to store a plurality of candidate plans pertaining to sales promotions, and employing a plan and policy optimizer to allow the robot to select and output an optimal plan from the plurality of candidate plans, the optimal plan determined by hierarchical reinforcement learning via a first learner and a second learner, the first leaner selecting the optimal plan and the second learner selecting an optimal action.