Method and System for Providing Artificial Intelligence (AI)-based Proactive and Dynamic Subscription Plan Recommendation

A method implemented in a telecommunication network, the method comprising:

• identifying, by a first application stored in non-transitory memory of a computer system and executable by a processor of the computer system, from a customer detail record (CDR) database, past usage data and current usage data associated with communication usage of a specific subscriber through the telecommunication network respectively during a past period and a current period;
• identifying, by the first application, from at least one of a network provisioning process log or a network provisioning catalog, subscription plan data comprising features associated with a current subscription plan of the specific subscriber;
• analyzing, by the first application, the past usage data, the current usage data, and the subscription plan data of the specific subscriber, using one or more machine learning (ML) models, to predict a subscription recommendation opportunity for the specific subscriber and identify one or more recommended subscription plans for the specific subscriber based on the predicted subscription recommendation opportunity, wherein the one or more ML models are trained on communication usage data, subscription plan data, and user-subscription interaction data associated with a plurality of subscribers of the telecommunication network;
• initiating, by the first application, an action to notify the specific subscriber of the one or more recommended subscription plans;
• and
• adapting, by a second application stored in the non-transitory memory of the computer system and executable by the processor of the computer system, one or more parameters of the one or more ML models based on feedback associated with a response of the specific subscriber to the one or more recommended subscription plans.

A method comprising:

• identifying, by an application stored in non-transitory memory of a computer system and executable by a processor of the computer system, individual subscriber data comprising first communication usage data associated with communication activities of a specific subscriber through a telecommunication network and first subscription plan data associated with the specific subscriber;
• analyzing, by the application, the individual subscriber data associated with the specific subscriber against subscriber group data comprising second communication usage data, second subscription plan data, and user-subscription interaction data associated with a plurality of subscribers of the telecommunication network, using a first model, to predict a subscription recommendation opportunity;
• determining, by the application, using a second model, at least one recommended subscription plan for the specific subscriber based on the predicted subscription recommendation opportunity;
• determining, by the application, based on one or more rules, whether the at least one recommended subscription plan is allowable for the specific customer;
• and
• initiating, by the application, based on the determination that the at least one recommended subscription plan is allowable for the specific customer, an action to provision the recommended at least one subscription plan to the specific subscriber.