The present disclosure relates to an analysis device and the like for supporting renovation sales.
Various renovation works are executed in the housing life cycle. PTL 1 describes a technique of proposing renovation according to the elapsed years based on a replacement cycle of components or a main body of a facility.
However, the content, the number of times, the period, and the like of renovation work to be executed vary depending on the customer due to various factors such as a house price or a use situation. For this reason, in renovation sales, it is important to grasp the purchase tendency of the customer in advance and propose an appropriate product.
One of the objects of the present disclosure is to provide an analysis device and the like that can grasp a purchase tendency of a customer.
An analysis device that is a first aspect of the present disclosure includes: a relationship analysis unit that, based on customer segment data including customer segments indicating the classification of customers and renovation record data indicating the history of past renovation works, analyzes a time-series relationship between at least two renovation works based on renovation work dates for each of the customers for each of the customer segments; and an output unit that outputs an analysis result.
An analysis method that is a second aspect of the present disclosure includes: based on customer segment data including customer segments indicating the classification of customers and renovation record data indicating the history of past renovation works, analyzing a time-series relationship between at least two renovation works based on renovation work dates for each of the customers for each of the customer segments; and outputting an analysis result.
An analysis program that is a third aspect of the present disclosure causes a computer to execute: based on customer segment data including customer segments indicating the classification of customers and renovation record data indicating the history of past renovation works, analyzing a time-series relationship between at least two renovation works based on renovation work dates for each of the customers for each of the customer segments; and outputting an analysis result.
The analysis program may be stored in a non-transitory computer-readable/writable recording medium.
According to the analysis device and the like of the present disclosure, it is possible to grasp a purchase tendency of a customer.
An analysis system of the first example embodiment will be described with reference to the drawings.
(Database)
The database 10 according to the first example embodiment will be described with reference to the drawings.
The house and customer data 11 is data of attribute information regarding a customer and a house of the customer.
The land information is information indicating the attribute of the land, and includes data having items such as, for example, location, area, use district, ground information, surrounding environment, building coverage ratio/floor area ratio, orientation, road surface, and view/breathability. The surrounding environment is information on facilities related to life around the house. The facilities include, for example, commercial facilities, medical facilities, schools, and parks.
The building information is information indicating the attribute of the building, and includes data having items of, for example, work date (age), building structure, total floor area/building area, floor plan, house performance information, equipment information, yard/garage information, renovation information, and defect (physical, legal, and psychological). The renovation information includes a business meeting ID, a business meeting date, a contract date, a product ID, a work type, a work group type, a construction work cost, and a business contact ID. The work type may be, for example, a work name such as interior or exterior of the building, or an equipment name of a bath, a toilet, or a kitchen.
The customer segment data 12 is data indicating a customer group divided by a certain criterion.
(Analysis Device)
Next, the analysis device 20 of the first example embodiment will be described with reference to the drawings.
In
The relationship analysis unit 21 analyzes the time-series relationship of the renovation work of each customer in the customer segment A using generated renovation history information. The time-series relationship of the renovation work indicates a chronological relationship of at least two renovation works based on renovation work date. For example, the relationship analysis unit 21 arranges renovation works in order of execution of the works for each customer, and extracts the renovation works having a strong time-series relationship of renovation works in the customer segment A.
In the above description, an example of the time-series relationship between two renovation works has been described, but the present invention is not limited to this. For example, the relationship analysis unit 21 may obtain the strength of the time-series relationship of three renovation works. The relationship analysis unit 21 may obtain the strength of the time-series relationship of not only renovation works but also renovation work groups. For example, the relationship analysis unit 21 may count the number of times of execution of the time-series relationship of the same renovation work group in the time-series relationship of the renovation work groups for each customer in the customer segment. For example, in a case where the number of times of execution of “painting work group” is the largest next to “waterproofing work group” that is the time-series relationship of the same renovation work group, the relationship analysis unit 21 adopts “waterproofing work group→painting work group” as the analysis result.
Furthermore, the index of the strength of the time-series relationship of renovation works may be an execution ratio or an execution rate in addition to the number of times of execution of the time-series relationship of the renovation works.
As a result of the analysis, the relationship analysis unit 21 may generate, as visualization information of the renovation work, the time-series relationship of the renovation work or the renovation work group with a large number of times of execution.
It is concluded that in the customer segment B, the group work tends to be executed in both directions in “painting work group” and “plumbing work group”. This indicates that the numbers of times of execution of “painting work group→plumbing work group” and “plumbing work group→painting work group” are large. This result is deemed to indicate that it is possible to suggest, to the customer belonging to the customer segment B, the work of “outdoor painting work group” again next to the execution of the work of “plumbing work group”. Furthermore, it is concluded that there is a loop relationship between “balcony waterproofing work” and “other waterproofing works” in the waterproofing work group. It is deemed that there is a possibility that the customers of the customer segment B continuously order the renovation work for these works.
Upon ending the relationship analysis of the renovation works on the target customer segment, the relationship analysis unit 21 sends the analysis result to the output unit 22.
The output unit 22 outputs the analysis result of the renovation work or the renovation work group in the target customer segment. The larger the number of times of execution of the renovation work or the renovation work group indicating the time-series relationship of the renovation work group is, the higher the possibility that the customers included in each customer segment exhibit a similar purchase tendency becomes. The output unit 22 may display the analysis result or visualized information of the relationship analysis unit 21 onto a display unit (not illustrated) of the analysis device 20, or may transmit it to the terminal 40 illustrated in
Next, the operation of the analysis device 20 of the first example embodiment will be described with reference to the drawings.
An example of the processing in step S11 will be described with reference to
Furthermore, the relationship analysis unit 21 generates the renovation history information of each customer in the customer segment based on the customer segment data 12 and the renovation record data 13 (step S112). The relationship analysis unit 21 analyzes the time-series relationship of the renovation works of each customer in the customer segment A using the generated renovation history information (step S113). The relationship analysis unit 21 passes the analysis result to the output unit 22.
Returning to
(Effects of First Example Embodiment)
According to the first example embodiment, the relationship analysis unit 21 analyzes the time-series relationship of at least two renovation works based on the renovation work date of each customer for each customer segment based on the customer segment data 12 including the customer segment indicating the classification of the customers and the renovation record data 13 indicating the history of the past renovation work. This makes it possible to grasp the purchase tendency of the customers in the customer segment.
(Hardware Configuration)
In the example embodiment, a part or all of each constituent element in the analysis device illustrated in
Each constituent element of the analysis device in each example embodiment of the present application is implemented by the CPU 61 acquiring and executing the program 64 for implementing these functions. The program 64 for implementing the function of each constituent element of the analysis device is stored in the storage device 65 or the RAM 63 in advance, for example, and is read by the CPU 61 as necessary. The program 64 may be supplied to the CPU 61 via a communication network, or may be stored in advance in the recording medium 66, and the drive device 67 may read and supply, to the CPU 61, the program.
There are various modifications for the implementation method of each device. For example, the analysis device may be implemented by a discretionary combination of a separate information processing device and program for each constituent element. A plurality of constituent elements included in the analysis device may be implemented by a discretionary combination of one computer 60 and a program.
Some or all of the constituent elements of the analysis device are implemented by another general-purpose or dedicated circuit, a processor, and the like, or a combination of them. These may be configured by a single chip or may be configured by a plurality of chips connected via a bus.
Some or all of the constituent elements of the analysis device may be implemented by a combination of the above-described circuit and the like and a program.
In a case where some or all of the constituent elements of the analysis device are implemented by a plurality of information processing devices, circuits, and the like, the plurality of information processing devices, circuits, and the like may be arranged in a centralized manner or in a distributed manner. For example, the information processing devices, the circuits, and the like may be implemented as a form in which they are connected via a communication network such as a client and server system or a cloud computing system.
Although the invention of the present application has been described above with reference to the present example embodiment, the present invention is not limited to the above example embodiment. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.
Filing Document | Filing Date | Country | Kind |
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PCT/JP2020/036626 | 9/28/2020 | WO |