Microsoft Technology Licensing, LLC

Ah Young Kim

Jianfeng Gao

Yu Wang

Xinying Song

Jaideep Sarkar

Jinchao Li

Haiyuan Cao

Hui Su

Karan Srivastava

Shahina Ferdous

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.

Intelligent scheduling tool

Growing community of inventors

Redmond, WA, United States of America

Ah Young Kim