Abstract: A process orchestration and dynamic data acquisition system may allow process flows to be flexible and to customer or product requirements based on rules obtained from a rule management system. The process orchestrator may be driven based on an updatable and dynamic set of business rules to allow for quick changes to the process flow. Through the business rules the process orchestrator retrieves and processes data necessary to the process based on a customer request and/or product or service provided. The process orchestrator provides dynamic data aggregation from both internal and external data sources, through calling re-useable processes instantiated by the process host system and continuously adapts the process flow to meet the unique needs of each request input and results returned from each dynamic process call.

Abstract: A process orchestration and dynamic data acquisition system may allow process flows to be flexible and to customer or product requirements based on rules obtained from a rule management system. The process orchestrator may be driven based on an updatable and dynamic set of business rules to allow for quick changes to the process flow. Through the business rules the process orchestrator retrieves and processes data necessary to the process based on a customer request and/or product or service provided. The process orchestrator provides dynamic data aggregation from both internal and external data sources, through calling re-useable processes instantiated by the process host system and continuously adapts the process flow to meet the unique needs of each request input and results returned from each dynamic process call.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for providing a propensity multiplier for customer message and opportunity management, such that an associate can more effectively assist a customer. The system may provide a customer profile associated with the customer to the channel. The profile compiles customer interaction data, including real-time and batched historic customer interaction data. This data is utilized to predict communication points and opportunities for the customer that may be most relevant to the customer. In this way, the system determines a propensity for each of the communication points and/or opportunities and modifies the ranking of each based on triggers from the received customer interaction data. Thus, providing the communication points and opportunities to an associate within a customer profile, such that the associate is prepared with communication points and opportunities tailored for the customer he/she is interacting with.