AI-Powered Company Line Management System

Abstract

The invention is a system that enables the monitoring, analysis, and management of mobile, fixed, and broadband company lines used within the Türk Telekom Group using artificial intelligence. The system includes company lines (1), which represent the entirety of mobile, fixed, and broadband company lines used within Türk Telekom that are monitored and managed by the system; a usage data collection module (2) that automatically collects voice, data, traffic type, usage duration, and time information for company lines (1); a data preprocessing unit (3) that cleans, standardizes, and makes meaningful the collected usage data for analysis; an artificial intelligence analysis module (4) that learns the normal usage behavior of the lines (1) and analyzes the usage data according to these behaviors; a purpose-based usage profile creation module (5) that creates separate usage profiles for the lines (1) according to test, official, or customer experience purposes; and non-purposeful usage.It includes an anomaly detection module (6) which automatically detects unusual traffic and idle line situations, a purpose compatibility assessment engine (7) which evaluates the compatibility between the purpose of line allocation and actual use, a risk and prediction module (8) which calculates the likelihood of lines (1) creating cost, idleness or safety risks in the future, an automatic decision and action module (9) which communicates decisions to restrict, deactivate or reallocate lines (1), a notification and reporting unit (10) which communicates the generated decision and analysis results to the relevant units, and a learning feedback mechanism (11) which continuously updates the artificial intelligence analysis module (4) using the results of the actions taken.

Description

1 TARIFF AI-Powered Company Line Management System Technical Area 5 The invention is used for corporate purposes in companies operating within the Türk Telekom Group. for managing allocated mobile, fixed and broadband (including DSL and Tivibu) lines It relates to an artificial intelligence-supported system and method that has been developed. State of the Art 10 Mobile, fixed and broadband used in large-scale organizations such as the Türk Telekom Group. Communication line management today mainly involves manual controls, reporting, and It is carried out through retrospective analyses. Current practices involve a high number of lines. various structural elements in the process of allocation and monitoring for different usage purposes It contains shortcomings. 15 Firstly, current systems define the initial allocation purpose of lines as static, however dynamic monitoring and evaluation of suitability for this purpose throughout the period of use is unable to provide this. This situation affects lines allocated for testing or customer experience purposes. Although it has shifted towards misuse over time, it was systemically important in the early stages. This makes it impossible to detect. 20 Another significant shortcoming of current applications is that line usage data is processed reactively. This is the case with usage anomalies, idle lines, or cost increases. Events that have already occurred can be reported; potential risks can be predicted in advance. Preventive actions cannot be taken. This situation leads to both operational inefficiencies and This leads to unnecessary costs. 25 Furthermore, current technical solutions; mobile, fixed and broadband lines are mostly separate from each other. They are monitoring through independent systems, and these line types are integrated under a single umbrella. It does not offer an integrated structure that allows for its management in this way. This fragmented structure, Turkish This makes end-to-end lifecycle management of company lines within the telecommunications network more difficult. and increases human dependence in control processes. 30 Rule-based control mechanisms used in current applications rely on fixed threshold values. working through, changes in usage habits or unit-based differences They lack the ability to learn and adapt. Therefore, systems cannot function properly when working. It is unable to demonstrate flexibility in the face of needs, user profiles, and use cases. The identified nonconformities were mostly related to manual assessment and decision-making processes. 35 remaining in place; processes such as line restriction, deactivation or reallocation are delayed and require human intervention. 2 This is done through intervention. This situation both increases the operational burden and... It reduces the effectiveness of corporate control mechanisms. For these reasons, current practices require purpose-based, predictive, and high-volume corporate pipelines. It falls short in terms of being managed with artificial intelligence support and is technically flawed. It needs improvement. 5 In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, it has become necessary to make improvements in the relevant technical field. Purpose of the Invention The invention was created by drawing inspiration from existing situations and addressing the aforementioned drawbacks. 10 It aims to solve the problem. The purpose of this invention is to provide mobile, fixed and broadband services used within the Türk Telekom Group. The goal is to offer an AI-powered system and method for managing company production lines. Within this scope, the invention allows for the monitoring of company lines solely through historical usage data. not only, but also the production of future predictions by learning about usage behaviors. 15 This makes it possible. The system continuously monitors the initial allocation purposes of the lines and their actual usage behavior. It dynamically compares mobile, fixed, and broadband lines; handling them under a single integrated structure. This enables centralized monitoring of the end-to-end lifecycle of company production lines. The invention allows the user to perform analysis taking into account unit and line-based differences. It also offers the ability to generate automated decisions and actions in response to identified risks. Thus, 20 Idle or misused lines are identified at an early stage, and unnecessary lines are removed. Costs are reduced, resources are used more efficiently, and uncontrolled use is prevented. Security and regulatory risks arising from the invention become predictable. As a result, the invention is Turkish. The company lines used within the telecommunications organization are being optimized using artificial intelligence, which is predictive and holistic. By enabling it to be managed with an automated approach, it provides a higher efficiency rate compared to the current technology. It offers operational efficiency, cost control, and a higher level of corporate oversight. In order to fulfill the purposes described above, the invention is owned by the Türk Telekom Group. Monitoring of mobile, fixed and broadband company lines in use using artificial intelligence, It is a system that enables analysis and management. Accordingly, the system is for Türk Telekom. The mobile, fixed and broadband company lines used within the organization are monitored by the system and 30 Company lines representing the entire managed network, including voice, data, traffic type, and usage for company lines. The usage data collection module automatically collects duration and time information, collected Data pre-processing cleans, standardizes, and makes sense of usage data for analysis. The processing unit learns the normal usage behavior of the lines and uses the usage data to... The AI ​​analysis module, which analyzes behaviors, determines whether the lines are for testing, official use, or customer service. 35 3 Purpose-based usage profiles create separate usage profiles based on the purposes of the experience. The creation module automatically detects unintended usage, unusual traffic, and idle line situations. The anomaly detection module, which identifies this, verifies the compatibility between the intended use of the line and its actual usage. The objective of the evaluation is to assess the compatibility of the lines and the costs involved in the future. The risk and prediction module, which calculates the likelihood of the lines becoming idle or posing a safety risk, is for line 5. automated system that communicates decisions regarding restriction, deactivation or reallocation The decision and action module transmits the generated decision and analysis results to the relevant units via notification and The reporting unit continuously uses the AI ​​analysis module to analyze the results of the actions taken. It includes an updating, learning, and feedback mechanism. The structural and characteristic features and all the advantages of the invention are given in the figures below and these 10 Thanks to the detailed explanation written with references to the figures, it becomes clearer. It will be understood. Figures that will help understand the invention. Figure 1 shows the general architecture of the system that is the subject of the invention. 15 Explanation of Part References 1. Company lines 2. Usage data collection module 3. Data preprocessing unit 20 4. Artificial intelligence analysis module 5. Purpose-based usage profile creation module 6. Anomaly detection module 7. Objective: Compliance assessment engine 8. Risk and forecasting module 25 9. Automatic decision and action module 10. Notification and reporting unit 11. Learner feedback mechanism Detailed Description of the Invention 30 In this detailed description, the preferred configurations of the system that is the subject of the invention are listed only. In order to better understand the subject and without imposing any limiting effects, the Invention Artificial intelligence for mobile, fixed and broadband company lines used within the Türk Telekom Group. It is a system that enables monitoring, analysis, and management with the support of intelligence. The advantages provided by the system are due to the interrelated and holistic nature of the elements described below. 35 This is achieved thanks to its functioning in this way. 4 The system works primarily on company lines used within Türk Telekom. It starts with monitoring of the cluster (1). In this context, the use of company lines (1) data is collected automatically through the usage data collection module (2), and the word The subject data includes voice, data, traffic type, usage duration and time information of the lines (1). It includes 5. The collected raw usage data is converted into an analyzable format by the data preprocessing unit (3). is being transformed. At this stage, the data is cleaned, standardized, and processed by artificial intelligence. It is being adapted to the analysis. Thanks to this element, the system can handle different line types and different data from use cases are placed on a common analytics infrastructure. can evaluate. 10 The data prepared for analysis is processed by the artificial intelligence analysis module (4). The AI ​​analysis module (4) analyzes the usage behaviors of each company line (1). By learning, the system establishes normal usage patterns. In this way, the system adheres to static rules. without being bound, a dynamic analysis based on the actual usage habits of the lines (1) It is carrying out. 15 Module for creating purpose-based usage profiles, taking into account the initial allocation purposes of the lines (1). (5) comes into play. This module activates the lines (1) for different purposes such as testing, authority or customer experience. We create separate usage profiles according to their intended use and continuously update these profiles. It updates. This element, being purpose-based, is one of the most important advantages of the invention. It provides the ability to evaluate. 20 Based on the created usage profiles, the anomaly detection module (6) is operational. Anomaly detection module (6) detects the current usage behavior of lines (1) with the created profiles. By comparing them, it automatically identifies misuse, unusual traffic, and idle line situations. It detects them. Thanks to this stage, violations that have occurred, as is the case with the current technology, can be identified. Instead of reporting them later, nonconformities can be identified at an early stage. 25 The identified situations are determined by the purpose conformity assessment engine (7). is being evaluated. The purpose of the compliance assessment engine (7) is to evaluate the actual (1) of each line. to calculate the level of congruence between usage behavior and allocation purpose and the lines (1) It classifies them as compatible or incompatible. This element is part of the system's corporate control. It is one of the key components that enhances its capabilities. 30 In addition, the risk and forecast module (8) is activated to ensure that the lines (1) are not idle in the future, This module calculates the potential for increased costs or security risks. Thanks to this system, it not only analyzes the current situation but also makes predictions for the future. It is able to produce. This feature forms the basis of the predictive management advantage provided by the invention. It constitutes. 35 Automated decisions and actions are taken based on the results of analysis, compliance, and risk assessment. Module (9) is working. This module; restricting, deactivating, reallocating the line (1) It automatically generates actions such as notifying relevant units or taking necessary precautions. This reduces dependence on human intervention and improves operational processes. It is accelerating. 5 The decision and analysis results produced are communicated to the relevant through the notification and reporting unit (10). This information is communicated to users and units. This element ensures the transparency and traceability of the system. It provides. Finally, actions performed thanks to the learning feedback mechanism (11) The results are transferred back to the artificial intelligence analysis module (4) and the system over time 10 This enables students to make more accurate and effective decisions. This closed-loop learning structure, This makes it possible for the invention to be a self-improving system. Thanks to the combined and related operation of these elements, the invention is intended for the company lines (1) By enabling its management in a predictive, automated, and AI-supported manner, the existing It offers significant advantages compared to technical solutions. 15

Claims

6 REQUESTS 1. Mobile, fixed and broadband company lines used within the Türk Telekom Group a system that enables monitoring, analysis and management with the support of artificial intelligence Its characteristic is; • System 5 for mobile, fixed and broadband company lines used within Türk Telekom company lines (1) which refers to the whole of which is monitored and managed by • Automatically generates voice, data, traffic type, usage duration and time information for company lines (1). usage data collection module (2), which collects usage data. • Cleaning, standardizing, and making sense of collected usage data for analysis data preprocessing unit (3), 10 • learning the normal usage behavior of the lines (1) and the usage data to these behaviors artificial intelligence analysis module (4) which analyzes according to • lines (1) separate usage profiles according to test, authority or customer experience purposes purpose-based usage profile creation module (5), • Automatically detects misuse, unusual traffic, and idle line conditions. anomaly detection module (6), • Purpose compatibility, which assesses the alignment between the intended purpose of line allocation and actual usage. evaluation engine (7), • the possibility of the lines (1) becoming costly, idle or creating a safety risk in the future Calculating risk and forecast module (8), 20 • decisions to restrict, deactivate or reallocate lines (1) automatic decision and action module (9), • Notification and reporting unit that transmits the produced decision and analysis results to the relevant units (10), • constantly updating the AI ​​analysis module (4) using the results of the actions taken learner feedback mechanism (11) 25 It includes.

2. The system is compliant with Request 1 and its feature is that it stores the usage data of the company lines (1). Automatic collection of data by the data collection module (2), collected line usage converting the data into an analyzable format by the data preprocessing unit (3), artificial The intelligence analysis module (4) analyzes the normal usage behaviors for each company line (1) 30 learning and modeling, purpose-based usage profile creation module (5) lines (1) Creating separate profiles based on allocation purposes such as testing, authority, or customer experience, Misuse of the anomaly detection module (6) according to the created usage profiles and The purpose of the compliance assessment engine (7) is to detect unusual traffic behaviors. Compliance level is determined as 35 by comparing line allocation purposes with actual usage behavior. determination, risk and forecast model (8), lines (1) becoming idle in the future, cost 7 It calculates the likelihood of an increase or security risk, and takes automated decisions and actions. According to the analysis results of module (9), the line (1) may be restricted, deactivated or re-enclosed. The decision to allocate the notification and reporting unit (10), the decision produced and communicating the analysis results to the relevant users and units, learner feedback. the mechanism (11) sends the results of the actions performed to the artificial intelligence analysis module 5 (4) feedback It involves carrying out its operations.

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