Experience orchestration

A method comprising:

• receiving an experience orchestration requirement comprising a plurality of user services associated with a user interaction stage, the user interaction stage comprising a digital touchpoint to allow user interaction in a digital environment;
• implementing an artificial intelligence component to identify a plurality of events based on the user interaction stage from orchestration data, each of the plurality of events associated with the plurality of user services, wherein the plurality of events includes calculating a time of completing each of the plurality of user services;
• implementing a first cognitive learning operation on a data point associated with an event from the plurality of events to identify an event result comprising a plurality of actions associated with each of the plurality of events, each of the plurality of actions comprising:
• comparing the time of completing the at least one of the plurality of user services with a time of a specific event;
• and
• driving a user service from the plurality of user services based on the comparison;
• identifying an action activator based on the event result and associated with each of the plurality of actions;
• and
• implementing a second cognitive learning operation to:
• identifying a recipe associated with an action prompted through the action activator, the recipe including a rule to retrieve the orchestration data from a plurality of data domains to offer an associated user service from the plurality of user services;
• and
• providing the end-user the associated user service based on a corresponding user interaction stage.

A non-transitory computer readable medium including machine readable instructions that are executable by a processor to:

• receive an experience orchestration requirement comprising a plurality of user services associated with a user interaction stage, the user interaction stage comprising a digital touchpoint to allow user interaction in a digital environment;
• implement an artificial intelligence component to identify a plurality of events based on the user interaction stage from orchestration data, each of the plurality of events associated with the plurality of user services, wherein the plurality of events includes calculating a time of completing each of the plurality of user services;
• implement a first cognitive learning operation on a data point associated with an event from the plurality of events to identify an event result comprising a plurality of actions associated with each of the plurality of events, each of the plurality of actions comprising:
• compare the time of completing the at least one of the plurality of user services with a time of a specific event;
• and
• drive a user service from the plurality of user services based on the comparison;
• identify an action activator based on the event result and associated with each of the plurality of actions;
• and
• implement a second cognitive learning operation to:
• identify a recipe associated with an action prompted through the action activator, the recipe including a rule to retrieve the orchestration data from a plurality of data domains to offer an associated user service from the plurality of user services;
• and
• provide the end-user the associated user service based on a corresponding user interaction stage.