KR102297992B1 - System and usage method for constructing charter bus customer information - Google Patents

Abstract

The present invention relates to a charter bus customer information building system for analyzing information on customers using a charter bus and activating the use of the charter bus using the analyzed information and a use method thereof. The system comprises: a plurality of customer terminals that request to use a charter bus and receive customer information including a schedule including a destination and a use date and a location of a customer; an analysis server configured to calculate a charter bus use amount per season, a charter bus use amount per region where a user is located, and a use amount per destination of a charter bus user according to a sorted order based on an age, a gender and an income level of a user about a charter bus per season, region where a charter bus user is located, and destination of a charter bus user and calculate a charter bus change amount per season, a charter bus change amount per region where a charter bus user is located, and a change amount per destination of a charter bus user according to a sorted order based on an age group, a gender and an income level of a user about a charter bus per season, region where a user is located and destination of a charter bus user; and a charter bus service server that receives the use amounts and the change amounts from the analysis server and provides a service corresponding to the information. Therefore, the system analyzes information of a customer who uses a charter bus and provides the analyzed information to a charter bus service provider to attract more charter bus customers.

Description

Charter bus customer information building system and usage method {SYSTEM AND USAGE METHOD FOR CONSTRUCTING CHARTER BUS CUSTOMER INFORMATION}

The present invention relates to a system and method for building chartered bus customer information, and more particularly, analyzing information of customers using the chartered bus and using the analyzed information to build charter bus customer information that can activate the use of chartered bus It relates to a system and a method of application.

In general, a group may rent a chartered bus to move to the same predetermined destination. An example of this is a case where an MT (Membership Training) event is held by a group for a specific purpose.

Alternatively, there is a case where people with the same destination and schedule are recruited, chartered a bus, and moved to the destination. An example of this is to hire a chartered bus when a certain mountain is designated by a mountaineering association, etc., and the number of people who want to climb to a predetermined mountain is recruited among those who have joined the mountaineering association.

As described above, there are reasons such as when charter buses are typically rented for the purpose of MT or chartered buses are rented for the purpose of climbing at mountaineering associations. In the early days of charter bus rental, most of the chartered buses were used through groups with a specific purpose, but the number of chartered buses through internet gatherings is gradually increasing. As described above, although customer demand for the use of chartered buses is gradually changing, the supply of chartered buses does not deviate from the previous stage.

Republic of Korea Patent Publication No. 10-1750351 (2017.06.28.). 'Automatic charter bus dispatch system and its control method'

The present invention was devised to solve the above problems, and an object of the present invention is to analyze the information of customers who used the chartered bus and activate the use of the chartered bus to expand the demand for the chartered bus customer information building system and to provide a method of utilization.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

Charter bus customer information construction system of the present invention for achieving the above object,

a plurality of customer terminals that request to use the chartered bus and receive customer information including a schedule including a destination and date of use, and a customer's location;

For chartered buses by season, region where chartered bus users are located and destinations of chartered bus users, seasonally chartered bus usage, chartered bus usage by region where chartered bus users are located, and The amount of chartered bus change by season, by season, by region where chartered bus users are located, and by destination of chartered bus users according to the ranking sorted by age, gender and income level of chartered bus users , an analysis server that aggregates the change amount of chartered bus by region where chartered bus users are located and the amount of change by destination of chartered bus users; and

and a charter bus service server for receiving the usage amount and variation amount from the analysis server and providing a service corresponding to the information;

The chartered bus service server,

an event unit for determining whether to proceed with an event, requesting the corresponding usage and variation information to the analysis server, and selecting an event product and planning an event using the received usage and variation information; and

and an advertisement unit that publishes the event determined by the event unit and allows access through the network.

The analysis server may be configured to manage customer information that has not been deposited three or more times in a row after making a charter bus reservation as a blacklist and store the blacklist in the customer information database.

The method of utilizing charter bus customer information of the present invention for achieving the above object is,

receiving, by the analysis server, the user's request for use of the chartered bus subscriber, the destination, the chartered bus usage schedule, and the customer's personal information from the customer terminal;

receiving, by the analysis server, customer information including a charter bus use request, a destination, a charter bus use schedule and personal information of the customer from the customer terminal;

database of the customer's request for use, destination, charter bus use schedule, and customer's personal information by the analysis server in a customer information database;

a request step of the charter bus service server requesting information necessary for the event or advertisement to the analysis server;

selecting, by the charter bus service server, information necessary for the event or advertisement from the analysis server, and selecting an event product required for the event or advertisement;

The charter bus service server is a determination step of determining whether the selected product is within a preset budget;

selecting a next product when the selected product exceeds a preset budget as a result of the determination in the determination step; and

When the selected product is within the preset budget as a result of the determination in the determination step, selecting the corresponding product as an event product; is configured to include.

Information necessary for the event or advertisement,

The first category information and the second category information,

The first category information is information that aggregates the number of chartered bus use requests by age group, the number of chartered bus use requests by gender, and the number of charter bus use requests by income level, and the second category information is the chartered bus user's request for use by season The number of times, the number of times the chartered bus user requests for use by residence, and the number of times the chartered bus user requests for use by destination may be aggregated information.

Information necessary for the event or advertisement,

Customer information that has not been deposited three or more times in a row after making a charter bus reservation is managed as a blacklist, and may be configured to further include the blacklist.

Information necessary for the event or advertisement,

It may be information in which at least two pieces of first category information or second category information are combined.

The system and method for building chartered bus customer information according to the present invention have the effect of attracting more chartered bus customers by analyzing the information of customers using the chartered bus and providing the analyzed information to the chartered bus service provider.

In addition, the system and method for building chartered bus customer information according to the present invention predicts customer information using the chartered bus and provides the predicted information to the chartered bus service provider, thereby expanding the service for future chartered bus customers. It works.

In addition, the system and method for building chartered bus customer information according to the present invention has the effect that events and advertisements can be conducted more effectively by building an event using customer information using the chartered bus and advertising it.

Effects of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a system configuration diagram schematically showing the configuration of a charter bus customer information building system according to an embodiment of the present invention.
Figure 2 is a flowchart showing a process of building chartered bus customer information according to an embodiment of the present invention.
3 is a flowchart illustrating a process of providing services to customers using chartered bus customer information according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings.

1 is a system configuration diagram schematically showing the configuration of a charter bus customer information building system according to an embodiment of the present invention.

1, the charter bus customer information building system of the present invention for achieving the above object is configured to include a plurality of customer terminals 100, an analysis server 200 and a charter bus service server 300 .

First, the customer terminal 100 receives a charter bus use request from a user, and transmits the received charter bus use request to the charter bus service server 300 through the analysis server 200 . The customer terminal 100 receives the charter bus usage schedule including the destination and date of use from the user, and customer information, and transmits it to the analysis server 200 and the charter bus service server 300 . Meanwhile, the customer information may include the customer's name, age, gender, resident registration number, occupation, phone number, address, housing information, income level, and the like. Meanwhile, the customer terminal 100 , the analysis server 200 , and the charter bus service server 300 are connected through the network 20 .

The analysis server 200 includes a customer information database 210 .

The customer information database 200 receives a charter bus use request and schedule from the customer terminal 100 , sorts applications of customers of the same destination corresponding to the same schedule, and stores customer information in the customer information database 210 . Here, use requests are accumulated for each customer, and the accumulated use requests can be processed as charter bus usage.

The analysis server 200 counts the number of requests to use the chartered bus by customer, and divides it into 10-year-old units from 10s to 70s or more by age in the aggregated customer information. That is, the age group is divided into 10 to 19 years old (10s), 20 to 29 years old (20s), 30 to 39 years old (30s), 40 to 49 years old (40s), 50 to 59 years old (50s), 60 to 69 years old (60s), 70 years old or older (70s or older). Classification by age group according to the number of requests to use the chartered bus is to count the customers who request to use the chartered bus, to classify the aggregated customer information by age group, and to sort them in ranks from 1st to 7th.

The analysis server 200 counts the number of requests to use the charter bus for each customer, and divides them into male and female according to gender in the aggregated customer information. Gender classification according to the number of requests to use the chartered bus is to count the customers who request to use the chartered bus, classify the collected customer information by gender again, and sort them in order from 1st to 2nd place.

The analysis server 200 counts the number of requests to use the charter bus for each customer, and classifies it according to the income level in the aggregated customer information. Here, the income level is less than 20 million won, from 20 million won to 30 million won, from 30 million won to 40 million won, from 40 million won to 50 million won, from 50 million won to 60 million won, from 70 million won to 80 million won and from 80 million won or more. It is divided into 7 sections as follows. Classification by income level according to the number of requests to use the chartered bus is to sort the customer information collected by counting the customers who request to use the chartered bus by classifying them by the income level mentioned above, and sorting them in ranks from 1st to 7th.

The analysis server 200 counts according to age group, gender and income level according to the request for use of the chartered bus as described above. For convenience of explanation, information that aggregates requests for use of chartered buses according to age, gender, and income level in response to requests for use of chartered buses will be referred to as the first category information.

The analysis server 200 counts the number of requests for charter buses by season according to the selected first category information. The analysis server 200 counts the number of times of request for a chartered bus for each region in which the chartered bus customer is located according to the selected first category information. The analysis server 200 counts the number of chartered bus requests for each destination of the chartered bus customer according to the selected first category information.

The analysis server 200 sorts the rankings from the first to the seventh place by age of the customer according to the first category from the number of requests for chartered buses by season according to the aggregated first category information.

Information aggregated by month or season according to the time of request for use of chartered buses, information aggregated by region by classifying requests for use of chartered buses by customer address, and information aggregated according to the destination where chartered bus use is requested. For convenience of explanation, the information of dogs will be referred to as a second category.

The analysis server 200 may generate a plurality of combinations in such a way that the second category and the first category are combined, between the first categories, or between the second categories.

That is, the analysis server 200 may configure information by tying the second category to the first category at the bottom.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for each month or season according to the number of requests to use the chartered bus by gender. For example, the analysis server 200 may calculate and sort the number of requests to use the chartered bus by age group for the July period. That is, it is possible to recognize whether customers of which gender mainly use chartered buses by month or season and whether customers of any gender avoid using chartered buses.

The analysis server 200 sorts the customers who have requested to use the chartered bus for each month or season according to the number of requests to use the chartered bus by age group. For example, the analysis server 200 may calculate the number of requests to use the chartered bus for each age group for a period called spring among the four seasons. By month or season, it is possible to recognize whether customers of what age group mainly use chartered buses and whether customers of what age group avoid using chartered buses.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for each month or season according to the number of requests for the use of the chartered bus by income fraction. For example, the analysis server 200 may calculate the number of requests to use the chartered bus for each income level requested for the use of the chartered bus for the October period. By month or season, it is possible to recognize which income level customers mainly use the chartered bus and whether customers in which income level avoid using the chartered bus.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for the region in which the chartered bus user resides according to the number of requests for the use of the chartered bus by gender. For example, the analysis server 200 may calculate the number of requests to use the chartered bus for each age group for chartered bus customers residing in Gangnam, Seoul. It is possible to recognize whether a customer of a certain gender mainly uses a chartered bus for each residential area of a chartered bus user and whether a customer of any gender avoids using the chartered bus.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for the region in which the chartered bus user resides according to the number of requests for the use of the chartered bus by age group. For example, the analysis server 200 may calculate the number of requests to use the chartered bus for each age group of customers living in Suwon. By region where chartered bus users reside, it is possible to recognize whether customers of what age group mainly use the chartered bus and whether customers of what age group avoid using the chartered bus.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for the region in which the chartered bus user resides according to the number of requests for the use of the chartered bus by income level. For example, the analysis server 200 may calculate the number of times of request for use of the chartered bus for each income level requested to use the chartered bus for customers living in Sejong City. It is possible to recognize which income level customers mainly use the chartered bus for each residential area of the chartered bus user and whether the customer of which income level avoids using the chartered bus.

The analysis server 200 sorts the customers who have requested to use the chartered bus with respect to the destination of the chartered bus user according to the number of requests for using the chartered bus by gender. For example, the analysis server 200 may calculate the number of requests to use the chartered bus by age group for customers destined for Mt. Seorak. For each destination of chartered bus users, it is possible to recognize whether customers of which gender mainly use the chartered bus and whether customers of any gender avoid using the chartered bus.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for the destination of the chartered bus user according to the number of requests for the use of the chartered bus by age group. For example, the analysis server 200 may calculate the number of requests to use the chartered bus by age group for customers destined for Busan. For each destination of chartered bus users, it is possible to recognize whether customers of what age group mainly use the chartered bus and whether customers of what age group avoid using the chartered bus.

The analysis server 200 sorts the customers who have requested the use of the chartered bus for the destination of the chartered bus user according to the number of requests for the use of the chartered bus by income level. For example, the analysis server 200 may calculate the number of times of request for use of the charter bus for each income level requested to use the charter bus for customers destined for Gangeul-si. By destination of chartered bus users, it is possible to recognize whether customers of which income level mainly use the chartered bus and whether customers of which income level avoid using the chartered bus.

The analysis server 200 manages the blacklist. The analysis server 200 manages as a blacklist customer information that has not been deposited three or more times in a row after making a reservation requesting a charter bus. Here, the reservation of the chartered bus 10 may be carried out in a group form or by an individual. As such, the analysis server 200 stores customer information of groups or individuals on the blacklist in the customer information database 210 and transmits it to the charter bus service server 300 so that it can be managed as a blacklist.

As described above, aggregation of rankings using the analysis server 200 is provided to the charter bus service server 300 to be described later so that the charter bus service server 300 can use the information to advertise services, events or advertisements. have. Alternatively, the charter bus service server 200 may limit the service to customers managed as a blacklist.

Since the amount of information in the ranking information aggregated by the analysis server 200 increases as the number of charter bus users increases, a change in the ranking may occur continuously, and the information is stored in the customer information database 210 described above.

The analysis server 200 calculates the usage of chartered buses by age group, gender and income level, and aggregates the variation by week, month and year.

The analysis server 200 may predict the future by calculating the amount of variation for each season, the residence region of the chartered bus user, and the destination of the chartered bus user. For example, the analysis server 200 may predict the usage of chartered buses by age group, gender and income level by season by calculating accumulated data and variation. The prediction of the analysis server 200 may be to predict the future by measuring the graph of the change amount of the charter bus use request. The amount of variation measured by the analysis server 200 is stored in the customer information database 210 .

When the charter bus service server 300 requests among the information predicted by the analysis server 200, the corresponding information is transmitted to the charter bus service server 300, and the charter bus service server 300 is Using the measured and predicted information, it is possible to recognize what age group, what gender, and what income level consumers should focus on for each season, the residential area of the chartered bus user and the destination of the chartered bus user. have.

Meanwhile, in the above-described embodiment, the first category and the second category are divided, but the first categories can be combined with each other, the second categories can be combined with each other, and a plurality of first and second categories can be combined. information can be generated.

A number of chartered bus service servers 300 through the analysis server 200, according to the number of requests to use the chartered bus, the first category information by age, gender, and income level, and the second category information, the number of requests to use the chartered bus. Depending on the season, the region in which the chartered bus user is located, and the destination of the chartered bus user according to the received information, an event may be conducted or an advertisement may be performed.

The chartered bus service server 300 receives the first category information and the second category information and the prediction information according to the amount of variation of the first category and the second category information from the analysis server 200, and provides a service corresponding to the information to the customer. can provide For example, the chartered bus service server 300 selects the priority according to the number of requests for use of the chartered bus by age group, gender and income level of the priority grade by season in the analysis server 200, and focuses on the group located at the top in the ranking. It can serve as an event or advertisement service.

For example, the chartered bus service server 300 requests and receives information on the income level where the charter bus user's destination is Busan as the analysis server 200 and the charter bus usage is the highest among those who make Busan the charter bus destination. As a result, among those whose destination is Busan for charter buses, the first place was from 30 million won to 40 million won, and the second place was from 40 million won to 50 million won. You can proceed with a photo event taken in Busan. At this time, the charter bus service server 300 may select an event product within the budget cost.

The chartered bus service server 300 is configured to include an event unit 310 and an advertisement unit 320 .

The event unit 310 requests and receives the number of requests for use of the charter bus of the first category and the amount of change from the analysis server 200, and designs an event service using the received information. When it is determined which event to proceed, the event unit 310 requests the corresponding usage and variation information to the analysis server 200 . For example, when an event is held for lovers on Christmas through the chartered bus service server 300, information that summarizes the number of requests to use the chartered bus by gender and age is necessary only in December. In this case, the charter bus service server 300 requests information by gender and age group from the analysis server 200 in the December period and analyzes it to determine what product to give or whether it is within the budget of the event when composing the product for the event. Whether or not can be determined. At this time, if necessary, data by income level may also be required by limiting the month of December. If an event is planned for next Christmas, prediction information may be requested according to the amount of change in the demand for charter bus use by gender, age group, and income level. The event unit 310 selects an event product and plans an event by using the received usage and variation information. The event unit 310 may request blacklist information if necessary.

The advertisement unit 320 publishes the event determined by the event unit 310 so that it can be accessed through a network. The advertisement unit 320 may be a homepage operated through the chartered bus service server 300 or an SNS page operated by consignment.

2 is a flowchart illustrating a process of building charter bus customer information according to an embodiment of the present invention.

Referring to FIG. 2 , first, customer information including a charter bus use request, a destination, a charter bus use schedule, and personal information is input through the customer terminal 100 in step S202 . The customer's personal information may include the subscriber's name, age, gender, resident registration number, occupation, phone number, address, housing information, income level, and the like.

In step S204 , the analysis server 200 receives customer information including a charter bus use request, a destination, a charter bus use schedule, and the customer's personal information from the customer terminal 100 .

In step S206, the analysis server 200 stores the received customer information in the customer information database 210 and makes it a database.

3 is a flowchart illustrating a process of providing a service to customers using chartered bus customer information according to an embodiment of the present invention.

Referring to FIG. 3 , in step S302 , the charter bus service server 300 requests information necessary for the determined event or advertisement to the analysis server 200 . As described above, the first category information is information that aggregates the number of chartered bus use requests by age group, the number of chartered bus use requests by gender, and the number of chartered bus use requests by income level, and the second category information is information about chartered bus users by age. It is information that aggregates the number of requests for use by season, the number of requests for use by place of residence of chartered bus users, and the number of requests for use by destination of chartered bus users. In this case, the information required for the event or advertisement requested by the charter bus service server 300 is information in which at least two pieces of first category information or second category information are combined. For example, information obtained by combining two or more threads, such as usage by age group of chartered bus users according to season, is requested. In addition, the information required for an event or advertisement requested by the charter bus service server 300 to the analysis server 200 may include a blacklist.

In step S304, the charter bus service server 300 receives information necessary for the event or advertisement, which is information in which at least two pieces of first category information or second category information are combined, and selects an event product required for the event or advertisement. For example, if the age of the user is in their 60s to 70s, and the first place in the income level using chartered buses is between 50 million won and 60 million won, it is extracted from big data and it ranges from 50 to 60 million won from 50 to 60 million won in the income level. You can extract preferred products up to the age of 70. For example, golf equipment sets and the like can be selected as preferred products for those in their 60s to 70s in the income level ranging from 50 million won to 60 million won.

In step S306, the chartered bus service server 300 determines whether the selected product is within a preset budget.

If it is determined in step S306 that the selected product exceeds the preset budget, the charter bus service server 300 returns to step S304 and selects the next product, that is, the second selected product from the information required for the event or advertisement. If the product selected in second place also exceeds the budget in step S306,

If , it returns to step S304 again and repeats the selection of products until they fall within the budget as in the 3rd and 4th places.

If it is determined in step S306 that the selected product is within a preset budget, the product is selected as an event product (step S308).

100: customer terminal 200: analysis server
210: customer information database 300: charter bus service server
310: event unit 320: advertising unit

Claims (6)

a plurality of customer terminals that request to use the chartered bus and receive customer information including a schedule including a destination and date of use, and a customer's location;
For chartered buses by season, region where chartered bus users are located and destinations of chartered bus users, seasonally chartered bus usage, chartered bus usage by region where chartered bus users are located, and The amount of chartered bus change by season, by season, by region where chartered bus users are located, and by destination of chartered bus users according to the ranking sorted by age, gender and income level of chartered bus users , an analysis server that aggregates the change amount of chartered bus by region where chartered bus users are located and the amount of change by destination of chartered bus users; and
A charter bus service server that receives usage and variation from the analysis server and provides a service corresponding to usage and variation; and
The chartered bus service server,
an event unit that determines whether to proceed with the event, requests the corresponding usage and variation information to the analysis server, selects an event product using the received usage and variation information, and plans an event; and
and an advertisement unit that publishes the event determined by the event unit so that it can be accessed through a network;
The analysis server,
Chartered bus customer information building system that is configured to manage customer information that has not been deposited three or more times in a row as a blacklist after making a chartered bus reservation and store the blacklist in a customer information database. delete receiving, by the analysis server, the user's request for use of the chartered bus subscriber, the destination, the chartered bus usage schedule, and the customer's personal information from the customer terminal;
receiving, by the analysis server, customer information including a charter bus use request, a destination, a charter bus use schedule and personal information of the customer from the customer terminal;
database of the customer's request for use, destination, charter bus use schedule, and customer's personal information by the analysis server in a customer information database;
a request step in which the charter bus service server requests information necessary for an event or advertisement to the analysis server;
selecting, by the charter bus service server, information necessary for the event or advertisement from the analysis server, and selecting an event product required for the event or advertisement;
The charter bus service server is a determination step of determining whether the selected product is within a preset budget;
selecting a next product when the selected product exceeds a preset budget as a result of the determination in the determination step; and
When the selected product is within a preset budget as a result of the determination in the determination step, selecting the product as an event product; includes,
Information necessary for the event or advertisement,
The first category information and the second category information,
The first category information is information that aggregates the number of chartered bus use requests by age group, the number of chartered bus use requests by gender, and the number of chartered bus use requests by income level, and the second category information is the chartered bus user's request for use by season A method of utilizing charter bus customer information, which is information that aggregates the number of times, the number of requests for use of chartered bus users by residence, and the number of requests for use by destination of chartered bus users. delete The method of claim 3, wherein the information required for the event or advertisement,
Customer information that has not been deposited three or more times in a row after making a chartered bus reservation is managed as a blacklist, and the chartered bus customer information utilization method further includes the blacklist. The method of claim 3, wherein the information required for the event or advertisement,
At least two pieces of first category information or second category information is information that is a combination of charter bus customer information utilization method.

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