Intelligent scheduling tool

US11068304B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Jinchao Li · Redmond, US
• Xinying Song · Bellevue, US
• Ah-Young Kim · Hwaseong-si, KR
• Haiyuan Cao · Redmond, US
• Yu Wang · Redmond, US
• Hui Su · Beijing, CN
• Shahina Ferdous · Redmond, US
• Jianfeng Gao · Woodinville, US
• Karan Srivastava · Seattle, US
• Jaideep Sarkar · Redmond, US

Key dates

• Filing date: Feb 25, 2019
• Grant date: Jul 20, 2021
• Expiry date: Aug 15, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods are disclosed for intelligent scheduling of calls to sales leads, leveraging machine learning (ML) to optimize expected results. One exemplary method includes determining, using a connectivity prediction model, call connectivity rate predictions; determining timeslot resources; allocating, based at least on the call connectivity rate predictions and timeslot resources, leads to timeslots in a first time period; determining, within a timeslot and using a lead scoring model, lead prioritization among leads within the timeslot; configuring, based at least on the lead prioritization, the telephone unit with lead information for placing a phone call; and applying a contextual bandit (ML) process to update the connectivity prediction model, the lead scoring model, or both. During subsequent time periods, the updated connectivity prediction and lead scoring models are used, thereby improving expected results over time.