This disclosure provides systems, methods, services, and platforms for prompting a user to respond to an offer on a mobile device. The disclosure enables Mobile Network Operators to create campaigns to target customers who are nearing the limit of their data plans, voice plans, SMS plans, and MMS plans. In some embodiments, the cloud server interacts with a client application to prompt the use of a mobile device to respond to an offer send in a campaign. The disclosure also provides embodiments to check to see if the user has opted out of receiving offers, or if a device can not execute a command, or if a threshold number of offers has already been sent. This disclosure also provides embodiments for authenticating third party account log-in.

Embodiments provide a schema for representing data usage plans and data usage statistics. The data usage plan describes threshold values associated with network connections of computing devices of the user. A web service dynamically generates data usage statistics for the computing devices to represent data consumed by the computing devices under the data usage plan. The schema is updated with the data usage statistics and distributed to the computing devices for presentation to the user.

Embodiments profile users and applications based on network data usage. Data usage statistics are collected and compared for the users and applications. Profiles are assigned to the users and applications based on the comparison. In some embodiments, the applications are ranked based on data usage and presented to the users in an application marketplace.

Proposed is a method for effectively supporting quality of service (QOS) of artificial intelligence (AI) and machine learning (ML) services. An application function (AF) transmits information about an uplink (UL)/downlink (DL) notification request to a session management function (SMF). The SMF generates a QoS profile on the basis of a policy and charging control (PCC) rule including information about the UL/DL notification request, and transmits the QoS profile to a next generation (NG)-radio access network (RAN). The NG-RAN transmits, to the SMF, a notification message including response information with respect to the UL/DL notification request, on the basis of the occurrence of an event related to the UL/DL notification request.

System and method for implementing a predictive disconnect in an Offline Charging System of a telecommunications network are provided. In one aspect, an apparatus for implementing a charging function in the OFCS is configured to determine that a resource allocated to the OFCS for processing messages received from one or more Charging Trigger Functions (CTFs) connected to the OFCS is experiencing or about to experience a bottleneck condition. The apparatus is configured to heuristically determine an expected duration of time for the resource to return to a normal condition, and is further configured to initiate a disconnection between the OFCS and one or more of the CTFs connected to the OFCS for at least the determined expected period of time.

Embodiments profile users and applications based on network data usage. Data usage statistics are collected and compared for the users and applications. Profiles are assigned to the users and applications based on the comparison. In some embodiments, the applications are ranked based on data usage and presented to the users in an application marketplace.

A method for reloading a mobile number includes receiving a request for reloading the mobile number sent by a terminal, obtaining information on the mobile number, and determining whether the mobile number is a trusted number based on the obtained information. The method further includes reloading the mobile number if it is determined that the mobile number is a trusted number, and alerting the terminal that the mobile number is not a trusted number if it is determined that the mobile number is not a trusted number. The mobile number does not correspond to the terminal.

This disclosure provides systems, methods, services, and platforms for automatically prompting a user of a mobile device to send feedback after a triggering event. This disclosure enables Mobile Network Operators to immediately solicit timely feedback from a mobile user after an interaction with the user. When a business, group, or other entity has an active survey campaign, a survey message comprising one or more response options is automatically sent to a mobile device after a triggering event occurs. Based on the user's selected response option, subsequent, follow-up survey messages can be automatically sent to the mobile device.