Updating service level agreements based on a usage pattern for a subscriber at multiple locations during multiple times of day

Abstract

Systems and methods are presented to intelligently and seamlessly provide services to a mobile subscriber on a network based on the subscriber's usage of that or other services. A provisioning mechanism is presented that is able to correlate subscriber profiles with a plurality of Service Level Agreements (SLA) in order to intelligently determine optimal service levels. A logic unit on a network distinguishes usage patterns for a subscriber of a service, correlates the usage patterns with an SLA related to the service, and optimizes the service by modifying the SLA to reflect the usage patterns of the subscriber. Usage patterns for multiple subscribers can be correlated and stored in a segment profile. The segment profile sheds further light on what quality, level, and type of service the subscriber will find relevant. This helps maintain efficient network usage while increasing subscriber satisfaction with their level of service.