Automatic dialing system based on Django framework

Abstract

The invention discloses an automatic dialing system based on a Django framework, and relates to the field of automatic dialing systems.According to the automatic dialing system based on the Django framework, by integrating an intelligent scheduling algorithm, the system can automatically optimize the distribution sequence and time of dialing tasks according to factors such as the line state, the dialing priority and the historical call completing rate; high efficiency of the dialing process is realized, so that the dialing success rate is improved, and the labor cost and the time cost are reduced; and the communication interface supports multi-line concurrent dialing, so that the dialing efficiency is greatly improved. The system can process multiple dialing tasks at the same time, and the dialing period is effectively shortened.

Description

Technical Field

[0001] The invention relates to the field of automatic dialing systems, in particular to an automatic dialing system based on a Django framework. Background Art

[0002] With the rapid development of communication technology and increasingly fierce market competition, enterprises have an increasing demand for efficient and accurate customer service and marketing. The traditional telephone dialing method has problems such as low efficiency, high labor costs, and difficulty in tracking dialing results, which can no longer meet the needs of modern enterprises. Therefore, it is particularly important to develop an automated and intelligent dialing system.

[0003] Although there are some automatic dialing systems on the market, most of them have problems such as single function, poor flexibility and low intelligence. For example, some systems only support simple dialing functions and lack the support of intelligent scheduling algorithms. They are unable to optimize the allocation of dialing tasks according to factors such as line status, dialing priority and historical connection rate, resulting in low dialing efficiency. At the same time, these systems also have many deficiencies in data storage, user interface design, communication interface compatibility and other aspects. Summary of the invention

[0004] In order to make up for the shortcomings of the prior art problems, the purpose of the present invention is to provide an automatic dialing system based on the Django framework that realizes the automation, intelligence and efficiency of the dialing process by integrating advanced intelligent scheduling algorithms, building an efficient data management system, and supporting multi-line concurrent communication interfaces.

[0005] In order to solve the problems of the prior art, the technical solution of the present invention is as follows:

[0006] Automatic dialing system based on Django framework, including:

[0007] Central Processing Unit: responsible for processing dialing logic and data management, and executing intelligent scheduling algorithms;

[0008] Database: used to store data such as line configuration information, enterprise information, dialing history and results;

[0009] User interface: Provides a graphical interface for operators to monitor the dialing process and configure system settings;

[0010] Communication interface: responsible for the interface with the telephone network, performing actual dialing operations, and supporting multiple lines concurrently.

[0011] Preferably, the dialing steps are as follows:

[0012] A1. Start the system. The operator inputs and configures the path information of multiple lines through the user interface. The path information is stored in the database, and the enterprise information is configured. The central processor configures the corresponding dialing strategy for different enterprises based on the path information and enterprise information.

[0013] A11. The CPU applies intelligent scheduling algorithms based on the path information and enterprise information in the database, optimizes the allocation order and time of dialing tasks according to line status, dialing priority and historical connection rate, and generates a dialing task queue;

[0014] A12, the communication interface starts multiple lines for parallel dialing according to the dialing task queue. During the dialing process, the central processor detects the dialing results in real time and stores them in the database;

[0015] A2. The user interface displays the dialing results in real time and generates a dialing report.

[0016] Preferably, the path information at least includes line ID, telephone number range and dialing strategy storage.

[0017] Preferably, the enterprise information includes at least customer data and dialing strategy enterprise.

[0018] Preferably, the dialing result at least includes connection status, call duration and recording.

[0019] Preferably, the dialing report at least includes historical connection rate statistics and call duration analysis.

[0020] Preferably, the intelligent scheduling algorithm is updated according to a set period.

[0021] Preferably, the historical connection rate is calculated using the following formula:

[0022]

[0023] Among them, JTL represents the historical connection rate, JT represents the historical connection times, and BD represents the historical total number of dials.

[0024] Compared with the prior art, the advantages of the present invention are as follows:

[0025] 1. By integrating intelligent scheduling algorithms, the system can automatically optimize the allocation order and time of dialing tasks according to factors such as line status, dialing priority and historical connection rate, so as to achieve efficient dialing process, which not only improves the dialing success rate, but also reduces labor and time costs;

[0026] 2. The communication interface supports multi-line concurrent dialing, which greatly improves the dialing efficiency. The system can handle multiple dialing tasks at the same time, effectively shortening the dialing cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a system schematic diagram of the present invention.

[0028] Figure 2 It is a schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0030] For example, see Figure 1 ,This embodiment provides an automatic dialing system based on the Django framework, including a central processor responsible for processing dialing logic and data management, executing intelligent scheduling algorithms, a database for storing data such as line configuration information, enterprise information, dialing history and results, a user interface providing a graphical interface for operators to monitor the dialing process and configure system settings, as well as an interface with the telephone network, executing actual dialing operations, and supporting multi-line concurrent communication interfaces.

[0031] For example 2, please refer to Figure 1 to Figure 2 This embodiment provides a further technical solution based on the first embodiment. The specific dialing steps are as follows:

[0032] A1. Start the system. The operator inputs and configures the path information of multiple lines through the user interface. The path information at least includes the line ID, the telephone number range and the dialing strategy storage. The path information is stored in the database, and the enterprise information is configured. The enterprise information at least includes the customer data and the dialing strategy enterprise. The central processor configures the corresponding dialing strategy for different enterprises according to the path information and the enterprise information.

[0033] A11. The CPU applies the intelligent scheduling algorithm based on the path information and enterprise information in the database, optimizes the allocation order and time of dialing tasks according to the line status, dialing priority and historical connection rate, and generates a dialing task queue. System maintenance personnel need to update the intelligent scheduling algorithm according to the set period;

[0034] For the intelligent scheduling algorithm, a multi-factor weighted scheduling algorithm can be used. The specific algorithm steps are as follows:

[0035] Algorithm steps:

[0036] 1. Initialization: Read the status of all currently available lines from the database (such as idle, busy, faulty, etc.);

[0037] Get a list of tasks to be dialed, each task contains the target phone number, enterprise information, dialing priority, etc.;

[0038] Load historical connection rate data and analyze the connection status of each line, time period and target group;

[0039] 2. Weight calculation: Line weight: Calculated based on the current status of the line and the historical connection rate. Lines that are idle and have a high historical connection rate have a high weight.

[0040] Time period weight: Consider business peak and off-peak periods to avoid excessive concentration of dialing during peak hours;

[0041] Dial priority weight: Set weight according to the urgency and importance of the task;

[0042] Target customer characteristics weight: Consider factors such as the customer's historical response rate and regional differences;

[0043] 3. Task allocation: For each task to be dialed, the matching degree between the task and the line is calculated based on its dialing priority, target customer characteristics and time period requirements, combined with the weight of each line;

[0044] Use greedy strategies or more complex optimization algorithms (such as genetic algorithms, simulated annealing, etc.) to select the best line allocation scheme to maximize the overall connection rate;

[0045] 4. Dynamic adjustment: During the dialing process, the line status and dialing results are detected in real time, and the line weight and task allocation are dynamically adjusted;

[0046] For the lines or time periods that are not connected continuously, reduce their weights and try to reallocate the tasks to other lines or time periods;

[0047] 5. Optimization and iteration: Regularly analyze historical data to identify key factors affecting the call connection rate, and adjust algorithm parameters and weight calculation methods accordingly;

[0048] Continuously optimize and improve scheduling algorithms based on business needs and changes in the external environment;

[0049] 6. Output and execution: Generate a dial-up task queue and assign the task to the corresponding communication interface for execution;

[0050] Update the dialing results and line status information in the database in real time;

[0051] A12, the communication interface starts multiple lines for parallel dialing according to the dialing task queue. During the dialing process, the central processor detects the dialing results in real time and stores them in the database;

[0052] A2. The user interface displays the dialing result in real time, the dialing result at least including the connection status, call duration and recording, and generates a dialing report, the dialing report at least including historical connection rate statistics and call duration analysis.

[0053] The historical connection rate is calculated using the following formula:

[0054]

[0055] Among them, JTL represents the historical connection rate, JT represents the historical connection times, and BD represents the historical total number of dials.

[0056] In summary, this application has the following beneficial effects:

[0057] 1. Intelligent scheduling optimization: By integrating intelligent scheduling algorithms, the system can automatically optimize the allocation order and time of dialing tasks according to factors such as line status, dialing priority and historical connection rate, so as to achieve efficient dialing process. This not only improves the dialing success rate, but also reduces labor and time costs.

[0058] 2. Comprehensive data management: The system uses a database to store line configuration information, enterprise information, dialing history and results, etc., to achieve centralized data management and efficient query. Operators can easily view dialing results through the user interface and generate detailed dialing reports, providing strong support for corporate decision-making analysis.

[0059] 3. Multi-line concurrent support: The communication interface supports multi-line concurrent dialing, which greatly improves the dialing efficiency. The system can handle multiple dialing tasks at the same time, effectively shortening the dialing cycle and improving customer satisfaction.

[0060] 4. Flexibility and scalability: The system adopts a modular design and supports functional expansion and customization according to actual needs. At the same time, the system supports integration with other systems, such as CRM system, ERP system, etc., to achieve data sharing and process automation.

[0061] 5. Intelligent algorithm update: The system supports updating the intelligent scheduling algorithm according to the set period to adapt to the ever-changing dialing environment and business needs. This ensures that the system always maintains the best operating state and improves the dialing efficiency and success rate.

[0062] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The automatic dialing system based on Django framework is characterized by: include: Central Processing Unit: responsible for processing dialing logic and data management, and executing intelligent scheduling algorithms; Database: used to store data such as line configuration information, enterprise information, dialing history and results; User interface: Provides a graphical interface for operators to monitor the dialing process and configure system settings; Communication interface: responsible for the interface with the telephone network, performing actual dialing operations, and supporting multiple lines concurrently.

2. The automatic dialing system based on the Django framework according to claim 1, characterized in that: The dialing steps are as follows: A1. Start the system. The operator inputs and configures the path information of multiple lines through the user interface. The path information is stored in the database, and the enterprise information is configured. The central processor configures the corresponding dialing strategy for different enterprises based on the path information and enterprise information. A11. The CPU applies intelligent scheduling algorithms based on the path information and enterprise information in the database, optimizes the allocation order and time of dialing tasks according to line status, dialing priority and historical connection rate, and generates a dialing task queue; A12, the communication interface starts multiple lines for parallel dialing according to the dialing task queue. During the dialing process, the central processor detects the dialing results in real time and stores them in the database; A2. The user interface displays the dialing results in real time and generates a dialing report.

3. The automatic dialing system based on the Django framework according to claim 2, characterized in that: The path information at least includes line ID, telephone number range and dialing strategy storage.

4. The automatic dialing system based on the Django framework according to claim 3 is characterized in that: The enterprise information includes at least customer data and a dialing strategy enterprise.

5. The automatic dialing system based on the Django framework according to claim 4 is characterized in that: The dialing result at least includes the connection status, call duration and recording.

6. The automatic dialing system based on the Django framework according to claim 5, characterized in that: The dialing report at least includes historical connection rate statistics and call duration analysis.

7. The automatic dialing system based on the Django framework according to claim 6, characterized in that: The intelligent scheduling algorithm is updated according to the set period.

8. The automatic dialing system based on the Django framework according to claim 7, characterized in that: The historical connection rate is calculated using the following formula: Among them, JTL represents the historical connection rate, JT represents the historical connection times, and BD represents the historical total number of dials.

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