Abstract: Systems, methods, and computer-readable storage media for routing event data from cloud-based sources to various service providers without using a permanently dedicated server (or similar solution). The solution disclosed herein is source agnostic, meaning that the data being received can be from any provider of cloud-based data, with the data received being in a format specific to the given provider. The system can normalize the data from the respective sources into a common format based on properties on the data and, based on the normalized data, identify what type of analysis, process, or other service should be executed on data received. The system can then forward the data to respective service providers for the execution of those services.

Abstract: Systems and methods of the present disclosure enable a processor to automatically predict a sequence of recurring data entries by accessing a history of electronic activity and executing a recurring entry classifier model to generate a library of recognized recurring data entries, where each recognized recurring data entry in the library includes: a precursor period associated with a precursor data entry, a recurrence period associated with a recurring value, and a recurring entity identifier. An electronic activity data entry is received and identified as preceding a recurring data entry based on the electronic activity value being a nominal electronic activity value. The electronic activity data entry is matched to a recognized recurring data entry in the library using the entity identifier. The processor notifies a user of the matching sequence of recurring data entries as a sequence of recurring data entries to commence after the precursor period.