American Express Travel Related Services Company, Inc.

Medicity, Inc.

Jordan Meyerowitz

Rajeev Thomas

Prasanth Kcl

Yogaraj Jayaprakasam

Srinivas K Kumandan

Abhishek Jain

Hector Flores

Robin Jain

Jared Crapo

Ashish V Shah

Lilian T Myers

J Kipp Lassetter

Systems and methods for automated linkage of enriched transaction data to a record of charge are provided. Electronic enriched transaction data, such as receipt information, provided by merchants, merchant aggregators, or third parties may be automatically associated with the corresponding transaction, and transmitted after the sale, or after authorization of the transaction, without user intervention. The enriched transaction data may be automatically associated with the record of charge at the acquirer or issuer end. Transaction account holders are able to view and/or download the electronic enriched transaction data with the record of charge, without the need for manually initiating emailing or attaching or the electronic enriched transaction data.

System and method for automated linkage of enriched transaction data to a record of charge

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.

Optimizing user task schedules in a customer relationship management platform

Systems and methods for optimizing user task schedules in a customer relationship management (CRM) platform is disclosed. The system may optimally input tasks into time slots in a user schedule to generate the optimized user task schedule. The system may generate a plurality of user task schedules and calculate a total task win probability for each of the user task schedules. The system may comprise the total task win probabilities and select the user task schedule having the greatest total task win probability. The system may also perform a genetic processing analysis of the user task schedules to further optimize task placement in the user task schedule.

A system and method for scheduling or managing receipt of healthcare services are disclosed. A centralized service management module is coupled to one or more client devices and to one or more service providers, such as healthcare providers or insurance providers. The centralized service management module receives an interaction, such as an appointment request, from a client device or a service provider associated with healthcare services. The centralized service management module associates a service provider with the interaction based on a stored user profile. The interaction is then transmitted by the centralized service management module to the associated service provider, which provides data associated with a healthcare product or service associated with the interaction to the centralized service management module. The data is stored in the user profile and transmitted, buy the centralized service management module, to a client device using a communication protocol specified by the user profile.

Healthcare service management using a centralized service management module

Growing community of inventors

Scottsdale, AZ, United States of America

Jordan Meyerowitz