A SYSTEM THAT ENABLES MOBILE NETWORK OPERATORS TO OFFER GIFTS BASED ON THEIR BEHAVIORAL TRENDS.

Abstract

This invention relates to a system (1) that enables the initiation of a gift flow aimed at increasing customer satisfaction and experience when the usage and package activity trends of a mobile network operator subscriber deviate from the norm.

Description

1 TARIFF MOBILE NETWORK OPERATOR SUBSCRIBER BEHAVIOR A system that allows gifts to be given according to their preferences. SYSTEM Technical Area This invention relates to the usage and packet activity of a mobile network operator's subscriber. When trends deviate from the norm, customer satisfaction and a 10 that enables the initiation of a gift flow aimed at enhancing the experience It is related to the system. Previous Technique Today, subscribers located within a service provider network are given a structure of 15 Solutions exist that allow gifts to be given through this platform. However, this Studies show that the gift-giving process involves subscriber usage within the service provider. dynamically determined according to trends and gift flow only if It is inadequate in terms of triggering for unconventional subscribers. remains. 20 Therefore, considering the studies and shortcomings in the current technique... when this is the case, the mobile network operator subscriber's usage and package when the customer's behavior and tendencies deviate from the norm a gift flow aimed at increasing satisfaction and experience 25 It appears that a system is needed to enable its initiation. United States Law No. US2012239553, which is included in the known state of the art. patent documents describe the processing and financing of short-term loans to consumers. A system is being discussed. The invention that is the subject of the patent document in question is 30 a system for processing and financing short-term loans to consumers 2 It mentions short-term loans to mobile credit custodian accounts. a system that enables its processing and financing, also for this account It also offers currency exchange services. Loan types include short-term loans. loans, payday loans, microloan loans, mobile telecommunications The operator offers balance top-up credits and additional account credits. The credits are 5. the applicant's loan application, employment history, or mobile money creditworthiness, mobile money transaction history, and mobile phone company records It is evaluated based on this. Credit funds are directly allocated to the consumer's mobile phone. It is deposited into the account associated with the device. Also, for various payments. The amount is automatically deducted from the account. The consumer's mobile device, phone or 10 IMEI numbers are used to create and analyze credit history and mobile money. It is used as a unique identifier to facilitate transactions. Brief Description of the Invention The purpose of this invention is to enable mobile network operator subscribers to manage their usage and packages. when the customer's behavior and tendencies deviate from the norm a gift flow aimed at increasing satisfaction and experience The goal is to implement a system developed to enable its initiation. Another purpose of this invention is to allow subscribers to engage in unconventional usage. Identifying customer habits and increasing customer satisfaction, customer improving the experience, enabling mobile network operators to engage their subscribers in other ways. reducing the risk of losing operators and preventing customer churn It is about implementing a system developed to provide this. 25 Detailed Description of the Invention The "Mobile Network Operator" was developed to achieve the purpose of this invention. A 30-point scheme that allows subscribers to receive gifts based on their behavioral trends. The "System" is shown in the attached figure; 3 Figure 1 shows a schematic view of the system that is the subject of the invention. The parts shown in the figure are individually numbered, and these numbers correspond to... The corresponding answers are given below. 5 1. System 2. Database 3. Server A. Subscriber Electronic Device Usage and packet activity trends of mobile network operator subscribers When it deviates from the norm, customer satisfaction and experience 15 The developed invention subject system (1); - Includes subscribers' voice, data, SMS, roaming, and international usage. records, subscribers' current tariffs, additional packages they have purchased, Excess packages, monthly billing amounts, and subscription duration criteria sets The data in question is recorded, including mobile network operator 20 subscribers' past usage activity, past package activity, and Keeping a record of past billing information, including charges. registration of the rules and benefits and quotas of the mobile network operator subscriber at least one database structured to keep it under (2), - using any communication protocol, subscriber electronic device (A) 25 to connect with, access data on the database (2) and data recording data on the base (2), mobile network that grants permission to use data operator subscribers' past usage history and past packages. data in the form of transactions and past billing information in the database (2) to pull from, clean the data pulled from the database (2) and 30 normalize, mobile network operator subscribers' past usage 4 By pulling their movements from the database (2), these data are used for machine learning using the data to train the artificial intelligence model trend analysis after normalization in a way that can be created. To be able to do this, we need a time series algorithm, Long Short-Term Memory. Using the network algorithm and creating the model, database (2) 5 the process of retrieving data from the database (2) cleaning and normalization operations are performed using a time series algorithm. Using the Long Short-Term Memory Networks algorithm, the model the process of creating the model and evaluating its accuracy Repeating the process at periodic intervals, until the score is above a certain threshold of 10 to continue the gift package flow for subscribers, subscribers Regarding the gift package, subscriber electronic devices (A) via email, The most configured to provide notifications via SMS or other channels It contains a small server (3). The invention involves establishing a connection between the database (2) and the server (3) in the system (1). It is structured as follows: The database (2) contains the voice, data, and SMS of the subscribers. (Short Message Service), roaming, international use. records, subscribers' current tariffs, additional packages they have purchased, overage 20 criteria sets in the form of packages, monthly billing amounts and subscription duration It is structured to keep the data on record. The database (2) contains mobile network operators' subscribers' past usage activity and past packages to keep records of their transactions and past billing information It is structured. The database (2) contains the pricing rules and mobile 25 to keep a record of the benefits and quotas of the network operator subscriber. It is being structured. In the system in question (1), the server (3) is located in the known state of the art. using any communication protocol, the subscriber electronic device (A) It is configured to establish a connection. The server (3) has 30 on the database (2). to access data and record data on the database (2) It is configured. Server (3), mobile network operator that grants permission for data usage. data belonging to subscribers; past usage transactions, past package transactions and past to retrieve data in the form of billing information from the database (2) It is configured. The server (3) retrieves data from the database (2). It is configured to clean and normalize. Server (3), mobile 5 past usage activity of network operator subscribers from the database (2) by extracting this data, we can use it to train a machine learning model. is configured. Server (3), mobile network operator subscribers' history By extracting packet movements from the database (2), this data can be used for machine learning. The model is configured for training purposes. Server (3), 10 past billing information of mobile network operator subscribers from the database (2) by extracting this data, we can use it to train a machine learning model. It is structured. The server (3) can be configured with data on which an artificial intelligence model can be created. After normalizing in this way, it takes time to perform trend analysis. Long Short-Term Memory Networks (LST) are a series of algorithms. To use the Memory Networks (LSTMs) algorithm and build the model. It is configured. Server (5), accuracy, precision and recall, F1 score, Receiver Operating Characteristic (ROC) and Curve Performing tests using Area Under Curve (AUC) methods. and is structured to evaluate the accuracy of the model. Server (3), 20 the process of retrieving data from the database (2), retrieved from the database (2) data cleaning and normalization processes are performed using a time series algorithm. Building the model using the Long Short-Term Memory Networks algorithm. the process and the process of evaluating the accuracy of the model at periodic intervals It is structured to repeat. 25 In the system in question (1), the server (3) is included in the gift package flow. To enable subscriber scoring through a trained model and to assess the subscriber's performance, It is structured to determine whether or not it deviates from its current trends. Server (5) provides gift package streaming for subscribers whose score is above a certain threshold 30 It is structured to continue. The server (3) allows the subscriber to go outside the trend. 6 If it detects that it has been sent, the subscriber will send an SMS via electronic device (A) It is configured to contact the subscriber. Server (3), SMS It includes details of the gift package that will be given to the subscriber and how to receive the gift package. Which keywords can be used to trigger via SMS channel? It is configured to transmit information in the form of: Server (3), subscriber 5 By interpreting the keywords in the SMS message he sent, you can package the gift. It is configured to provide the server (3) to the subscriber or It is configured to deliver the gift package to a loved one. Server (3), billing calculation for subscriber groups that have reached the end of the billing period It is configured to do so. The server (3) informs subscribers about the gift package 10 via subscriber electronic devices (A) e-mail, SMS or other channels It is structured to provide information through this platform. Industrial application of the invention In the system in question (1) the usage and package of the mobile network operator subscriber when the customer's behavior and tendencies deviate from the norm a gift flow aimed at increasing satisfaction and experience The process of initiating it is ensured. The invention consists of the subscriber electronic device (A), database (2) and (1) included in the system. The server (3) informs the user in accordance with the data privacy principles and provides consent. It provides services and operates within the scope of the Personal Data Protection Law (KVKK). It shows. Based on these fundamental concepts, the subject of the invention is "Mobile Network Operator Subscriber". A System that Enables Gift Giving According to Behavioral Tendencies (1)” It is possible to develop a wide variety of related applications, and the invention is presented here. It cannot be limited to the examples given; it is essentially as stated in the claims.

Claims

7 REQUESTS 1. Mobile network operator subscriber usage and package activity. When trends deviate from the norm, customer satisfaction... and initiating a gift exchange aimed at enhancing the experience 5 developed to provide; - Includes subscribers' voice, data, SMS, roaming, and international usage. records, subscribers' current tariffs, additional packages they have purchased, Excess packages, monthly billing amounts, and subscription duration criteria sets The data in question is recorded, including mobile network operator 10 subscribers' past usage activity, past package activity, and Keeping a record of past billing information, including charges. registration of the rules and benefits and quotas of the mobile network operator subscriber containing at least one database (2) structured to keep it under control; - using any communication protocol, subscriber electronic device (A) 15 to connect with, access data on the database (2) and data recording data on the base (2), mobile network that grants permission to use data operator subscribers' past usage history and past packages. data in the form of transactions and past billing information in the database (2) to pull from, clean the data pulled from the database (2) and 20 normalize, mobile network operator subscribers' past usage By pulling their movements from the database (2), these data are used for machine learning using the data to train the artificial intelligence model trend analysis after normalization in a way that can be created. To be able to do this, we need a time series algorithm, Long Short-Term Memory 25 Using the network algorithm and creating the model, database (2) the process of retrieving data from the database (2) cleaning and normalization operations are performed using a time series algorithm. Using the Long Short-Term Memory Networks algorithm, the model the process of creating the model and evaluating its accuracy 30 Repeating the process at periodic intervals until the score reaches a certain threshold 8 to continue the gift package flow for subscribers, subscribers Regarding the gift package, subscriber electronic devices (A) via email, The most configured to provide notifications via SMS or other channels a system characterized by a small server (3) (1).

2. Database (2) configured to connect with Server (3) A system like the one in Claim 1, characterized (1).

3. Includes subscribers' voice, data, SMS, roaming, and international usage. records, subscribers' current tariffs, additional packages they have purchased, 10 Excess packages, monthly billing amounts, and subscription duration criteria sets database structured to keep the data in the form of (2) A system like the one in Claim 1 or 2 characterized by (1).

4. Including mobile network operator subscribers; past usage 15 records transactions, past package transactions, and past billing information. characterized by the database structured to keep it under (2) A system like the one in claim 3 (1).

5. Includes pricing rules and the mobile network operator subscriber's 20 database structured to keep records of benefits and quotas (2) as in any of the above claims characterized by system (1).

6. Using any communication protocol, the subscriber electronic device (A) 25 characterized by the server (3) configured to establish a connection with a system like any of the above requests (1). 9 7. To access data on database (2) and to add data to database (2) characterized by the server (3) configured to record a system like any of the above requests (1).

8. Data usage permission granted by mobile network operators to subscribers; past 5 usage activity, past package activity, and past billing information. configured to retrieve data in the form of from the database (2) in any of the above requests characterized by the server (3) such a system (1).

9. Cleaning and normalizing the data retrieved from the database (2) The above is characterized by the server (3) configured to do so. a system like any of the requests (1).

10. Data on the past usage activity of mobile network operator subscribers. 15 By pulling this data from the base (2), it can be used to train the machine learning model. characterized by the server (3) configured for use for this purpose a system like any of the above requests (1).

11. Mobile network operators can view subscribers' past package transactions in data 20. By pulling this data from the base (2), it can be used to train the machine learning model. characterized by the server (3) configured for use for this purpose a system like any of the above requests (1).

12. Data 25 of mobile network operator subscribers' past billing information By pulling this data from the base (2), it can be used to train the machine learning model. characterized by the server (3) configured for use for this purpose a system like any of the above requests (1).

13. Normalize the data in a way that allows an artificial intelligence model to be built. After that, we need a time series algorithm to perform trend analysis. Using the Long Short-Term Memory Networks algorithm and model characterized by the server (3) configured to create a system like any of the above requests (1). 5 14. Accuracy, precision and recall, F1 score, receiver operating characteristics. and conducting tests using Area Under the Curve methods and the model with the server (3) configured to evaluate its accuracy a 10 as in any of the above characterized claims system (1).

15. Extract data from the database (2), from the database (2) cleaning and normalizing the extracted data, time series using the Long Short-Term Memory Networks algorithm, which is an algorithm, 15 the process of creating the model and the accuracy of the model to repeat the evaluation process at periodic intervals from the above requests characterized by the configured server (3) a system like any other (1).

16. Subscriber's information via trained model within the gift package flow. to enable scoring and allow the subscriber to go beyond their usual habits Characterized by the server (3) configured to detect that it does not exit. a system like any of the above-mentioned requests (1).

17. Continue the gift package stream for subscribers whose score is above a certain threshold. The above is characterized by the server (3) which is configured to perform the above. a system like any of the requests (1). 11 18. If the subscriber determines that the device has deviated from the trend, the subscriber's electronic device To contact the subscriber via SMS through (A) from the above requests characterized by the configured server (3) a system like any other (1). The content of SMS 19 includes details of the gift package to be given to the subscriber and the gift itself. Which keywords should be used via SMS for the recipient to receive the package? structured to transmit information indicating that it can trigger in any of the above requests characterized by the server (3) such a system (1). 10 20. By interpreting the keywords in the SMS messages sent by the subscriber. with the server (3) configured to ensure the delivery of the gift package as in any of the above characterized claims system (1). 15 21. To ensure the gift package is given to the subscriber or a close relative. from the above requests characterized by the configured server (3) a system like any other (1).

22. Billing calculation for subscribers whose billing period has come to an end. The above is characterized by the server (3) configured to do so. a system like any of the requests (1).

23. Subscribers can receive the gift package via subscriber electronic devices (A) 25 to inform via email, SMS or other channels from the above requests characterized by the configured server (3) a system like any other (1).