Optimizing user task schedules in a customer relationship management platform

US12307396B2 · kind B2 · utility

Assignee

• American Express Travel Related Services Company, Inc. · US

Inventors

• Hector Flores · Goodyear, US
• Abhishek Jain · Baraut, IN
• Robin Jain · Phoenix, US
• Yogaraj Jayaprakasam · Phoenix, US
• Srinivas K. Kumandan · Scottsdale, US
• Jordan Meyerowitz · Scottsdale, US

Key dates

• Filing date: Jul 22, 2022
• Grant date: May 20, 2025
• Expiry date: Jul 22, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/06316
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems and methods for optimizing user task schedules in a customer relationship management (CRM) platform is disclosed. In one example, a system comprising a computing device and a cache. The computing device is configured to generate child user task schedules and calculate task win probabilities of tasks for the child user task schedules using a machine learning system. The machine learning system is used to determine the plurality of task win probabilities. The computing device is also configured to calculate total task win probabilities for the child user task schedules based on the task win probabilities and is configured to determine an optimized user task schedule by selecting a respective user task schedule having a greatest total task win probability from a subset of the plurality of child user task schedules stored in the distributed cache.