The present invention relates to a system for following up balance loading and usage of users who get pre-paid telecommunication service, determining how much a customer spends on average monthly by processing loading and usage data by means of at least one machine learning model, and carrying out transaction of balance loading automatically.

Background of the Invention Mobile devices getting pre-paid telecommunication service are one of the most frequently used devices in daily life. Balance loading is required in a within a period of time determined by a mobile operator in order that mobile devices can keep on benefiting from telecommunication service. Transactions of users who benefit from telecommunication methods on a regular basis such as voice call, short messaging; voice, text, video call via Internet; accessing web pages; and viewing multimedia contents are provided with the expenditure amount that is used from the balance loaded by the user in advance, in pre-paid telecommunication services. In cases where users do not use their mobile devices frequently and want to be accessible only in case of emergency, it is required to keep the line in-service by loading balance within a period of time determined by the mobile operator. Users who use their mobile devices regularly need to keep their telecommunications service fees available in their lines, by making regular balance payments. For a pre-paid telecommunication service requiring regular payment, users need to follow up the periods and amounts for balance loading and this leads to an additional responsibility in user’s daily life.

Considering the deficiencies of management habits of pre-paid telecommunication service in the current technique, it is understood that there is need for a system for following up balance loading and usage of users who get pre-paid telecommunication service, determining how much a customer spends on average monthly by processing loading and usage data by means of at least one machine learning model, and carrying out transaction of balance loading automatically in the state of the art.

The Korean patent document no. KR100432901B1, an application in the state of the art, discloses a system and method for enabling users, who get pre-paid mobile telecommunication service, to load balance automatically and be informed. The said invention provides a payment service system and an automatic pre-payment method therefor in order to offer various services such as an automatic payment or an alarm service to a user getting service from a prepaid mobile communication terminal and thus to receive payment service at the desired time.

Summary of the Invention

An objective of the present invention is to realize a system for following up balance loading and usage of users who get pre-paid telecommunication service, determining how much a customer spends on average monthly by processing loading and usage data by means of at least one machine learning model, and carrying out transaction of balance loading automatically.

Detailed Description of the Invention “A System for Loading Balance” realized to fulfil the objective of the present invention is shown in the figure attached, in which:

Figure l is a schematic block diagram of the inventive system.

The components illustrated in the figure are individually numbered, where the numbers refer to the following:

1. System 2. User interface

3. Database

4. Server

HS: External server

The inventive system (1) for following up balance loading and usage of users who get pre-paid telecommunication service, determining how much a customer spends on average monthly by processing loading and usage data by means of at least one machine learning model, and carrying out transaction of balance loading automatically comprises:

- at least one user interface (2) which is configured to enable users to input data and display data;

- at least one database (3) which is configured to communicate with the user interface (2); to store the data input by the users and the usage and loading data in electronic environment (electronically); and

- at least one server (4) which is configured to communicate with the user interface (2) and the database (3); to follow up the balance loading and usage of users who get pre-paid telecommunication service within the scope of the law on the protection of personal data; to create a machine learning model by using the users’ loading and usage data; to determine an average usage and loading fee per month for users by means of a machine learning model; and to carry out a transaction for regular automatic balance loading.

The user interface (2) included in the inventive system (1) is configured to enable users to input data and display data. In a preferred embodiment of the invention, the user interface (2) is configured to be used on electronic devices such as mobile device, tablet, portable computer, desktop computer, server computer that can establish communication via Internet by means of any communication method. In a preferred embodiment of the invention, the user interface (2) is configured to enable users to input data such as the number of mobile device whereby the user’s balance follow-up will be carried out, the number of account that will provide the payment, options of payment follow-up, approval for personal data use and to view information such as the status of regular payment follow-up, the amount and frequency of regular payment.

The database (3) included in the inventive system (1) is configured to communicate with the user interface (2); to store the data input by the users and the usage and loading data in electronic environment. In a preferred embodiment of the invention, the database (3) is configured to store information such as the number of mobile device whereby the user’s balance follow-up will be carried out and that is input over the user interface (2), the number of account that will provide the payment, options of payment follow-up, approval for personal data use. In a preferred embodiment of the invention, the database (3) is configured to receive the usage and loading data of the users related to the pre-paid telecommunication service from at least one external server (HS) of the mobile operator whereto their mobile device number belong and then to store the said data.

The server (4) included in the inventive system (1) is configured to communicate with the user interface (2) and the database (3); to follow up the balance loading and usage of users who get pre-paid telecommunication service within the scope of the law on the protection of personal data; to create a machine learning model by using the users’ loading and usage data; to determine an average usage and loading fee per month for users by means of a machine learning model; and to carry out a transaction for regular automatic balance loading. In a preferred embodiment of the invention, the server (4) is configured to receive the usage and loading data of the users related to the pre-paid telecommunication service from the database (3) that receives them from at least one external server (HS) of the mobile operator whereto their mobile device number belong and then stores them, and to follow up the said data within the scope of the law on the protection of personal data. In a preferred embodiment of the invention, the server (4) is configured to create a machine learning model through a supervised learning technique by using the loading and usage data of users as training data. In a preferred embodiment of the invention, the server (4) is configured to determine an average usage and loading fee per month for users by means of a machine learning model according to the options of payment follow-up input by the user over the user interface (2) and stored in the database (3). In a preferred embodiment of the invention, the server (4) is configured to carry out transaction of regular automatic balance loading in an amount to provide the average loading fee per month at intervals that will prevent the line from being cut off for users with irregular mobile device usage. In a preferred embodiment of the invention, the server (4) is configured to carry out transaction of regular automatic balance loading in an average loading fee per month of the user for users with regular mobile device usage. In a preferred embodiment of the invention, the server (4) is configured to transmit information such as the status of regular payment follow up, the amount and frequency of regular payment to the user interface (2).

Industrial Application of the Invention In the inventive system (1), a user inputs data such as the number of mobile device whereby the user’s balance follow-up will be carried out, the number of account that will provide the payment, options of payment follow-up, approval for personal data use over the user interface (2) that s/he views over an electronic device such as mobile device, tablet, portable computer, desktop computer, server computer and these data are stored in the database (3). The database (3) receives the usage and loading data of the users related to the pre-paid telecommunication service from the external servers (HS) of the mobile operators whereto the mobile device numbers of the users belong and then stores the said data and transmits the said data to the server (4) to be followed up within the scope of the law on the protection of personal data. The server (4) creates machine learning model through a supervised learning technique by using the loading and usage data of users by means of pre-paid telecommunication service; determines an average usage and loading fee per month for users by means of a machine learning model according to the options of payment follow-up input stored in the database (3); carries out transaction of regular automatic balance loading in an amount to provide the average loading fee per month at intervals that will prevent the line from being cut off for users with irregular mobile device usage; carries out transaction of regular automatic balance loading in an average loading fee per month of the user for users with regular mobile device usage; and transmits information such as the status of regular payment follow-up, the amount and frequency of regular payment to the user interface (2).

The inventive system (1) carries out transaction of regular automatic balance loading by determining the frequency and amount of balance loading suitable for users with different mobile device usage and transactions of following up users’ balance loading are automatized. Within these basic concepts; it is possible to develop various embodiments of the inventive “System for Loading Balance (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.